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다변수 미분 전체 문제

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735문제 · 31 / 37쪽

601.CLP-3 · 2.2절 · 6번대학 수준우리말 번역

곡면 z(x,y)z(x, y) 가 zy−y+x=ln⁡(xyz)zy - y + x = \ln(xyz) 로 정의된다.

(a) ∂z∂x\frac{\partial z}{\partial x}, ∂z∂y\frac{\partial z}{\partial y} 를 xx, yy, zz 로 나타내어 구하세요. (b) (x,y,z)=(−1,−2,1/2)(x, y, z) = (-1, -2, 1/2) 에서 ∂z∂x\frac{\partial z}{\partial x} 와 ∂z∂y\frac{\partial z}{\partial y} 의 값을 구하세요.

영어 원문 보기

A surface z(x,y)z(x, y) is defined by zy−y+x=ln⁡(xyz)zy - y + x = \ln(xyz).

(a) Compute ∂z∂x\frac{\partial z}{\partial x}, ∂z∂y\frac{\partial z}{\partial y} in terms of xx, yy, zz. (b) Evaluate ∂z∂x\frac{\partial z}{\partial x} and ∂z∂y\frac{\partial z}{\partial y} at (x,y,z)=(−1,−2,1/2)(x, y, z) = (-1, -2, 1/2).

정답·풀이 보기

(a) z(x,y)z(x,y) 는 다음을 만족시킨다고 주어졌다.

z(x,y) y−y+x=ln⁡(xy z(x,y))(∗)\begin{aligned} z(x,y)\, y - y + x = \ln\big(xy\,z(x,y)\big) \tag{$*$}\end{aligned}

이는 모든 (x,y)(x,y) ((−1,−2)(-1,-2) 근방)에 대해 성립한다. (∗)(*) 를 xx 에 대해 미분하면

y ∂z∂x(x,y)+1=1x+∂z∂x(x,y)z(x,y)  ⟹  ∂z∂x(x,y)=1x−1y−1z(x,y)\begin{aligned} y\,\frac{\partial z}{\partial x}(x,y) + 1 = \frac{1}{x} + \frac{\frac{\partial z}{\partial x}(x,y)}{z(x,y)} \implies \frac{\partial z}{\partial x}(x,y) = \frac{\frac{1}{x}-1}{y-\frac{1}{z(x,y)}} \end{aligned}

이고, 인수 (x,y)(x,y) 를 생략한 뒤 분자와 분모에 모두 xzxz 를 곱하면

∂z∂x=z−xzxyz−x=z(1−x)x(yz−1)\begin{aligned} \frac{\partial z}{\partial x} = \frac{z-xz}{xyz-x} = \frac{z(1-x)}{x(yz-1)} \end{aligned}

(∗)(*) 를 yy 에 대해 미분하면

z(x,y)+y ∂z∂y(x,y)−1=1y+∂z∂y(x,y)z(x,y)  ⟹  ∂z∂y(x,y)=1y+1−z(x,y)y−1z(x,y)\begin{aligned} z(x,y)+y\,\frac{\partial z}{\partial y}(x,y) - 1 = \frac{1}{y} + \frac{\frac{\partial z}{\partial y}(x,y)}{z(x,y)} \implies \frac{\partial z}{\partial y}(x,y) = \frac{\frac{1}{y}+1-z(x,y)}{y-\frac{1}{z(x,y)}} \end{aligned}

이고, 인수 (x,y)(x,y) 를 생략한 뒤 분자와 분모에 모두 yzyz 를 곱하면

∂z∂y=z+yz−yz2y2z−y=z(1+y−yz)y(yz−1)\begin{aligned} \frac{\partial z}{\partial y} = \frac{z+yz-yz^2}{y^2z-y} = \frac{z(1+y-yz)}{y(yz-1)} \end{aligned}

(b) (x,y,z)=(−1,−2,1/2)(x,y,z) = (-1, -2, 1/2) 일 때,

∂z∂x(−1,−2)=1x−1y−1z∣(x,y,z)=(−1,−2,1/2)=1−1−1−2−2=12∂z∂y(−1,−2)=1y+1−zy−1z∣(x,y,z)=(−1,−2,1/2)=1−2+1−12−2−2=0\begin{aligned} \frac{\partial z}{\partial x}(-1,-2) &= \left.\frac{\frac{1}{x}-1}{y-\frac{1}{z}} \right|_{(x,y,z) = (-1, -2, 1/2)} =\frac{\frac{1}{-1}-1}{-2-2} =\frac{1}{2} \\ \frac{\partial z}{\partial y}(-1,-2) &= \left.\frac{\frac{1}{y}+1-z}{y-\frac{1}{z}} \right|_{(x,y,z) = (-1, -2, 1/2)} =\frac{\frac{1}{-2}+1-\frac{1}{2}}{-2-2} =0 \end{aligned}

원본 교재 풀이(영어)

(a) We are told that z(x,y)z(x,y) obeys

z(x,y) y−y+x=ln⁡(xy z(x,y))(∗)\begin{aligned} z(x,y)\, y - y + x = \ln\big(xy\,z(x,y)\big) \tag{$*$}\end{aligned}

for all (x,y)(x,y) (near (−1,−2)(-1,-2)). Differentiating (∗)(*) with respect to xx gives

y ∂z∂x(x,y)+1=1x+∂z∂x(x,y)z(x,y)  ⟹  ∂z∂x(x,y)=1x−1y−1z(x,y)\begin{aligned} y\,\frac{\partial z}{\partial x}(x,y) + 1 = \frac{1}{x} + \frac{\frac{\partial z}{\partial x}(x,y)}{z(x,y)} \implies \frac{\partial z}{\partial x}(x,y) = \frac{\frac{1}{x}-1}{y-\frac{1}{z(x,y)}} \end{aligned}

or, dropping the arguments (x,y)(x,y) and multiplying both the numerator and denominator by xzxz,

∂z∂x=z−xzxyz−x=z(1−x)x(yz−1)\begin{aligned} \frac{\partial z}{\partial x} = \frac{z-xz}{xyz-x} = \frac{z(1-x)}{x(yz-1)} \end{aligned}

Differentiating (∗)(*) with respect to yy gives

z(x,y)+y ∂z∂y(x,y)−1=1y+∂z∂y(x,y)z(x,y)  ⟹  ∂z∂y(x,y)=1y+1−z(x,y)y−1z(x,y)\begin{aligned} z(x,y)+y\,\frac{\partial z}{\partial y}(x,y) - 1 = \frac{1}{y} + \frac{\frac{\partial z}{\partial y}(x,y)}{z(x,y)} \implies \frac{\partial z}{\partial y}(x,y) = \frac{\frac{1}{y}+1-z(x,y)}{y-\frac{1}{z(x,y)}} \end{aligned}

or, dropping the arguments (x,y)(x,y) and multiplying both the numerator and denominator by yzyz,

∂z∂y=z+yz−yz2y2z−y=z(1+y−yz)y(yz−1)\begin{aligned} \frac{\partial z}{\partial y} = \frac{z+yz-yz^2}{y^2z-y} = \frac{z(1+y-yz)}{y(yz-1)} \end{aligned}

(b) When (x,y,z)=(−1,−2,1/2)(x,y,z) = (-1, -2, 1/2),

∂z∂x(−1,−2)=1x−1y−1z∣(x,y,z)=(−1,−2,1/2)=1−1−1−2−2=12∂z∂y(−1,−2)=1y+1−zy−1z∣(x,y,z)=(−1,−2,1/2)=1−2+1−12−2−2=0\begin{aligned} \frac{\partial z}{\partial x}(-1,-2) &= \left.\frac{\frac{1}{x}-1}{y-\frac{1}{z}} \right|_{(x,y,z) = (-1, -2, 1/2)} =\frac{\frac{1}{-1}-1}{-2-2} =\frac{1}{2} \\ \frac{\partial z}{\partial y}(-1,-2) &= \left.\frac{\frac{1}{y}+1-z}{y-\frac{1}{z}} \right|_{(x,y,z) = (-1, -2, 1/2)} =\frac{\frac{1}{-2}+1-\frac{1}{2}}{-2-2} =0 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 7번
# 편도함수계산보통자동 분류
602.CLP-3 · 2.2절 · 7번대학 수준우리말 번역

(T,U,V,W)(T, U, V, W) 가 다음 식으로 서로 관계되어 있을 때, (1,1,2,4)(1, 1, 2, 4) 에서 ∂U∂T\frac{\partial U}{\partial T} 와 ∂T∂V\frac{\partial T}{\partial V} 를 구하세요.

(TU−V)2ln⁡(W−UV)=ln⁡2(TU-V)^2 \ln(W-UV) = \ln 2

영어 원문 보기

Find ∂U∂T\frac{\partial U}{\partial T} and ∂T∂V\frac{\partial T}{\partial V} at (1,1,2,4)(1, 1, 2, 4) if (T,U,V,W)(T, U, V, W) are related by

(TU−V)2ln⁡(W−UV)=ln⁡2(TU-V)^2 \ln(W-UV) = \ln 2

정답·풀이 보기

네 변수 TT, UU, VV, WW 는 하나의 방정식 (TU−V)2ln⁡(W−UV)=ln⁡2(TU-V)^2 \ln(W-UV) = \ln 2 를 만족한다고 하였다. 따라서 이 변수들이 모두 독립인 것은 아니다. 대략 말하면, 이 중 세 변수를 독립변수로 보고, 주어진 방정식을 나머지 한 변수에 대해 선택한 세 독립변수의 함수로 풀 수 있다.

먼저 ∂U∂T\frac{\partial U}{\partial T} 를 구하라고 하였다. 이는 TT, VV, WW 를 독립변수로 보고 UU 를 다음을 만족하는 함수 U(T,V,W)U(T,V,W) 로 보라는 뜻이다.

(T U(T,V,W)−V)2ln⁡(W−U(T,V,W) V)=ln⁡2(E1)\big(T\, U(T,V,W)-V\big)^2 \ln\big(W-U(T,V,W)\,V\big) = \ln 2 \tag{E1}

이는 (1,1,2,4)(1, 1, 2, 4) 에 충분히 가까운 모든 (T,U,V,W)(T, U, V, W) 에 대해 성립한다. (E1)의 양변을 TT 에 대해 미분하면 다음과 같다.

2(T U(T,V,W)−V)[U(T,V,W)+T ∂U∂T(T,V,W)]ln⁡(W−U(T,V,W) V)−(T U(T,V,W)−V)21W−U(T,V,W) V∂U∂T(T,V,W) V=0\begin{aligned} &2\big(T\, U(T,V,W)-V\big) \left[ U(T,V,W) +T\ \frac{\partial U}{\partial T}(T,V,W)\right] \ln\big(W-U(T,V,W)\,V\big) \\ & -\big(T\, U(T,V,W)-V\big)^2 \frac{1}{W-U(T,V,W)\,V}\frac{\partial U}{\partial T}(T,V,W)\,V = 0 \end{aligned}

특히 (T,U,V,W)=(1,1,2,4)(T, U, V, W)=(1, 1, 2, 4) 에서는 다음과 같다.

2((1)(1)−2)[1+(1)∂U∂T(1,2,4)]ln⁡(4−(1)(2))−((1)(1)−2)214−(1)(2)∂U∂T(1,2,4) (2)=0\begin{aligned} &2\big((1)(1)-2\big) \left[ 1 +(1)\frac{\partial U}{\partial T}(1,2,4)\right] \ln\big(4-(1)(2)\big) \\ & -\big((1)(1)-2\big)^2 \frac{1}{4-(1)(2)}\frac{\partial U}{\partial T}(1,2,4)\,(2) = 0 \end{aligned}

이를 간단히 하면 다음과 같다.

−2[1+∂U∂T(1,2,4)]ln⁡(2)−∂U∂T(1,2,4)=0  ⟹  ∂U∂T(1,2,4)=−2ln⁡(2)1+2ln⁡(2)\begin{aligned} -2\left[ 1 +\frac{\partial U}{\partial T}(1,2,4)\right] \ln(2) -\frac{\partial U}{\partial T}(1,2,4)=0 \implies \frac{\partial U}{\partial T}(1,2,4) = -\frac{2\ln(2)}{1+2\ln(2)} \end{aligned}

다음으로 ∂T∂V\frac{\partial T}{\partial V} 를 구하라고 하였다. 이는 UU, VV, WW 를 독립변수로 보고 TT 를 다음을 만족하는 함수 T(U,V,W)T(U,V,W) 로 보라는 뜻이다.

(T(U,V,W) U−V)2ln⁡(W−U V)=ln⁡2(E2)\big(T(U,V,W)\, U-V\big)^2 \ln\big(W-U\,V\big) = \ln 2 \tag{E2}

이는 (1,1,2,4)(1, 1, 2, 4) 에 충분히 가까운 모든 (T,U,V,W)(T, U, V, W) 에 대해 성립한다. (E2)의 양변을 VV 에 대해 미분하면 다음과 같다.

2(T(U,V,W) U−V) [∂T∂V(U,V,W) U−1]ln⁡(W−U V)−(T(U,V,W) U−V)2UW−U V=0\begin{aligned} &2\big(T(U,V,W)\, U-V\big)\ \left[\frac{\partial T}{\partial V}(U,V,W)\ U-1\right] \ln\big(W-U\,V\big) \\ & -\big(T(U,V,W)\, U-V\big)^2 \frac{U}{W-U\,V} = 0 \end{aligned}

특히 (T,U,V,W)=(1,1,2,4)(T, U, V, W)=(1, 1, 2, 4) 에서는 다음과 같다.

2((1)(1)−2)[(1)∂T∂V(1,2,4)−1]ln⁡(4−(1)(2))−((1)(1)−2)214−(1)(2)=0\begin{aligned} &2\big((1)(1)-2\big) \left[ (1)\frac{\partial T}{\partial V}(1,2,4)-1\right] \ln\big(4-(1)(2)\big) \\ & -\big((1)(1)-2\big)^2 \frac{1}{4-(1)(2)} = 0 \end{aligned}

이를 간단히 하면 다음과 같다.

−2[∂T∂V(1,2,4)−1]ln⁡(2)−12=0  ⟹  ∂T∂V(1,2,4)=1−14ln⁡(2)\begin{aligned} -2\left[\frac{\partial T}{\partial V}(1,2,4)-1\right] \ln(2) -\frac{1}{2}=0 \implies \frac{\partial T}{\partial V}(1,2,4) = 1 -\frac{1}{4\ln(2)} \end{aligned}

원본 교재 풀이(영어)

We are told that the four variables TT, UU, VV, WW obey the single equation (TU−V)2ln⁡(W−UV)=ln⁡2(TU-V)^2 \ln(W-UV) = \ln 2. So they are not all independent variables. Roughly speaking, we can treat any three of them as independent variables and solve the given equation for the fourth as a function of the three chosen independent variables.

We are first asked to find ∂U∂T\frac{\partial U}{\partial T}. This implicitly tells to treat TT, VV and WW as independent variables and to view UU as a function U(T,V,W)U(T,V,W) that obeys

(T U(T,V,W)−V)2ln⁡(W−U(T,V,W) V)=ln⁡2(E1)\big(T\, U(T,V,W)-V\big)^2 \ln\big(W-U(T,V,W)\,V\big) = \ln 2 \tag{E1}

for all (T,U,V,W)(T, U, V, W) sufficiently near (1,1,2,4)(1, 1, 2, 4). Differentiating (E1) with respect to TT gives

2(T U(T,V,W)−V)[U(T,V,W)+T ∂U∂T(T,V,W)]ln⁡(W−U(T,V,W) V)−(T U(T,V,W)−V)21W−U(T,V,W) V∂U∂T(T,V,W) V=0\begin{aligned} &2\big(T\, U(T,V,W)-V\big) \left[ U(T,V,W) +T\ \frac{\partial U}{\partial T}(T,V,W)\right] \ln\big(W-U(T,V,W)\,V\big) \\ & -\big(T\, U(T,V,W)-V\big)^2 \frac{1}{W-U(T,V,W)\,V}\frac{\partial U}{\partial T}(T,V,W)\,V = 0 \end{aligned}

In particular, for (T,U,V,W)=(1,1,2,4)(T, U, V, W)=(1, 1, 2, 4),

2((1)(1)−2)[1+(1)∂U∂T(1,2,4)]ln⁡(4−(1)(2))−((1)(1)−2)214−(1)(2)∂U∂T(1,2,4) (2)=0\begin{aligned} &2\big((1)(1)-2\big) \left[ 1 +(1)\frac{\partial U}{\partial T}(1,2,4)\right] \ln\big(4-(1)(2)\big) \\ & -\big((1)(1)-2\big)^2 \frac{1}{4-(1)(2)}\frac{\partial U}{\partial T}(1,2,4)\,(2) = 0 \end{aligned}

This simplifies to

−2[1+∂U∂T(1,2,4)]ln⁡(2)−∂U∂T(1,2,4)=0  ⟹  ∂U∂T(1,2,4)=−2ln⁡(2)1+2ln⁡(2)\begin{aligned} -2\left[ 1 +\frac{\partial U}{\partial T}(1,2,4)\right] \ln(2) -\frac{\partial U}{\partial T}(1,2,4)=0 \implies \frac{\partial U}{\partial T}(1,2,4) = -\frac{2\ln(2)}{1+2\ln(2)} \end{aligned}

We are then asked to find ∂T∂V\frac{\partial T}{\partial V}. This implicitly tells to treat UU, VV and WW as independent variables and to view TT as a function T(U,V,W)T(U,V,W) that obeys

(T(U,V,W) U−V)2ln⁡(W−U V)=ln⁡2(E2)\big(T(U,V,W)\, U-V\big)^2 \ln\big(W-U\,V\big) = \ln 2 \tag{E2}

for all (T,U,V,W)(T, U, V, W) sufficiently near (1,1,2,4)(1, 1, 2, 4). Differentiating (E2) with respect to VV gives

2(T(U,V,W) U−V) [∂T∂V(U,V,W) U−1]ln⁡(W−U V)−(T(U,V,W) U−V)2UW−U V=0\begin{aligned} &2\big(T(U,V,W)\, U-V\big)\ \left[\frac{\partial T}{\partial V}(U,V,W)\ U-1\right] \ln\big(W-U\,V\big) \\ & -\big(T(U,V,W)\, U-V\big)^2 \frac{U}{W-U\,V} = 0 \end{aligned}

In particular, for (T,U,V,W)=(1,1,2,4)(T, U, V, W)=(1, 1, 2, 4),

2((1)(1)−2)[(1)∂T∂V(1,2,4)−1]ln⁡(4−(1)(2))−((1)(1)−2)214−(1)(2)=0\begin{aligned} &2\big((1)(1)-2\big) \left[ (1)\frac{\partial T}{\partial V}(1,2,4)-1\right] \ln\big(4-(1)(2)\big) \\ & -\big((1)(1)-2\big)^2 \frac{1}{4-(1)(2)} = 0 \end{aligned}

This simplifies to

−2[∂T∂V(1,2,4)−1]ln⁡(2)−12=0  ⟹  ∂T∂V(1,2,4)=1−14ln⁡(2)\begin{aligned} -2\left[\frac{\partial T}{\partial V}(1,2,4)-1\right] \ln(2) -\frac{1}{2}=0 \implies \frac{\partial T}{\partial V}(1,2,4) = 1 -\frac{1}{4\ln(2)} \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 4번
# 편도함수계산보통자동 분류
603.CLP-3 · 2.2절 · 8번대학 수준우리말 번역

u=x2+yzu = x^2 + yz, x=ρrcos⁡(θ)x = \rho r \cos(\theta), y=ρrsin⁡(θ)y = \rho r \sin(\theta), z=ρrz = \rho r 라고 하자. 점 (ρ0,r0,θ0)=(2,3,π/2)(\rho_0 , r_0 , \theta_0) = (2, 3, \pi/2) 에서 ∂u∂r\frac{\partial u}{\partial r} 를 구하세요.

영어 원문 보기

Suppose that u=x2+yzu = x^2 + yz, x=ρrcos⁡(θ)x = \rho r \cos(\theta), y=ρrsin⁡(θ)y = \rho r \sin(\theta) and z=ρrz = \rho r. Find ∂u∂r\frac{\partial u}{\partial r} at the point (ρ0,r0,θ0)=(2,3,π/2)(\rho_0 , r_0 , \theta_0) = (2, 3, \pi/2).

답 쓰고 채점
정답·풀이 보기

함수

u(ρ,r,θ)=[ρrcos⁡θ]2+[ρrsin⁡θ]ρr=ρ2r2cos⁡2θ+ρ2r2sin⁡θ\begin{aligned} u(\rho, r,\theta) &= \big[\rho r\cos\theta\big]^2 +\big[\rho r\sin\theta\big] \rho r \\ &=\rho^2 r^2\cos^2\theta +\rho^2 r^2\sin\theta \end{aligned}

이므로

∂u∂r(ρ,r,θ)=2ρ2rcos⁡2θ+2ρ2rsin⁡θ\begin{aligned} \frac{\partial u}{\partial r}(\rho, r,\theta) &=2 \rho^2 r\cos^2\theta +2 \rho^2 r\sin\theta \end{aligned}

이고

∂u∂r(2,3,π/2)=2(22)(3)(0)2+2(22)(3)(1)=24\begin{aligned} \frac{\partial u}{\partial r}(2, 3,\pi/2) &=2 (2^2) (3) (0)^2 +2 (2^2) (3) (1) =24 \end{aligned}

이다.

원본 교재 풀이(영어)

The function

u(ρ,r,θ)=[ρrcos⁡θ]2+[ρrsin⁡θ]ρr=ρ2r2cos⁡2θ+ρ2r2sin⁡θ\begin{aligned} u(\rho, r,\theta) &= \big[\rho r\cos\theta\big]^2 +\big[\rho r\sin\theta\big] \rho r \\ &=\rho^2 r^2\cos^2\theta +\rho^2 r^2\sin\theta \end{aligned}

So

∂u∂r(ρ,r,θ)=2ρ2rcos⁡2θ+2ρ2rsin⁡θ\begin{aligned} \frac{\partial u}{\partial r}(\rho, r,\theta) &=2 \rho^2 r\cos^2\theta +2 \rho^2 r\sin\theta \end{aligned}

and

∂u∂r(2,3,π/2)=2(22)(3)(0)2+2(22)(3)(1)=24\begin{aligned} \frac{\partial u}{\partial r}(2, 3,\pi/2) &=2 (2^2) (3) (0)^2 +2 (2^2) (3) (1) =24 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 9번
# 편도함수계산보통자동 분류
604.CLP-3 · 2.2절 · 9번대학 수준우리말 번역

미분계수의 정의를 이용하여 다음 함수에 대해 fx(0,0)f_x(0,0) 과 fy(0,0)f_y(0,0) 의 값을 구하세요.

f(x,y)={x2−2y2x−yx≠y 이면0x=y 이면f(x,y)=\begin{cases} \frac{x^2-2y^2}{x-y}&\text{$x\ne y$ 이면}\\ 0&\text{$x=y$ 이면} \end{cases}

영어 원문 보기

Use the definition of the derivative to evaluate fx(0,0)f_x(0,0) and fy(0,0)f_y(0,0) for

f(x,y)={x2−2y2x−yif x≠y0if x=yf(x,y)=\begin{cases} \frac{x^2-2y^2}{x-y}&\text{if $x\ne y$}\\ 0&\text{if $x=y$} \end{cases}

정답·풀이 보기

정의에 의해

fx(x0,y0)=lim⁡Δx→0f(x0+Δx,y0)−f(x0,y0)Δxfy(x0,y0)=lim⁡Δy→0f(x0,y0+Δy)−f(x0,y0)Δyf_x(x_0,y_0)=\lim_{\Delta x\rightarrow 0}\frac{f(x_0+\Delta x,y_0)-f(x_0,y_0)}{\Delta x} \qquad f_y(x_0,y_0)=\lim_{\Delta y\rightarrow 0}\frac{f(x_0,y_0+\Delta y)-f(x_0,y_0)}{\Delta y}

이다. x0=y0=0x_0=y_0=0 을 대입하면

fx(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0f(Δx,0)Δx=lim⁡Δx→0((Δx)2−2×02)/(Δx−0)Δx=lim⁡Δx→01=1fy(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0f(0,Δy)Δy=lim⁡Δy→0(02−2(Δy)2)/(0−Δy)Δy=lim⁡Δy→02=2\begin{aligned} f_x(0,0)&=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)-f(0,0)}{\Delta x} &=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)}{\Delta x} &=\lim_{\Delta x\rightarrow 0}\frac{((\Delta x)^2-2\times0^2)/(\Delta x-0)}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}1 =1\\ f_y(0,0)&=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)-f(0,0)}{\Delta y} &=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)}{\Delta y} &=\lim_{\Delta y\rightarrow 0}\frac{(0^2-2(\Delta y)^2)/(0-\Delta y)}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}2 =2 \end{aligned}

이다.

원본 교재 풀이(영어)

By definition

fx(x0,y0)=lim⁡Δx→0f(x0+Δx,y0)−f(x0,y0)Δxfy(x0,y0)=lim⁡Δy→0f(x0,y0+Δy)−f(x0,y0)Δyf_x(x_0,y_0)=\lim_{\Delta x\rightarrow 0}\frac{f(x_0+\Delta x,y_0)-f(x_0,y_0)}{\Delta x} \qquad f_y(x_0,y_0)=\lim_{\Delta y\rightarrow 0}\frac{f(x_0,y_0+\Delta y)-f(x_0,y_0)}{\Delta y}

Setting x0=y0=0x_0=y_0=0,

fx(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0f(Δx,0)Δx=lim⁡Δx→0((Δx)2−2×02)/(Δx−0)Δx=lim⁡Δx→01=1fy(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0f(0,Δy)Δy=lim⁡Δy→0(02−2(Δy)2)/(0−Δy)Δy=lim⁡Δy→02=2\begin{aligned} f_x(0,0)&=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)-f(0,0)}{\Delta x} &=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)}{\Delta x} &=\lim_{\Delta x\rightarrow 0}\frac{((\Delta x)^2-2\times0^2)/(\Delta x-0)}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}1 =1\\ f_y(0,0)&=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)-f(0,0)}{\Delta y} &=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)}{\Delta y} &=\lim_{\Delta y\rightarrow 0}\frac{(0^2-2(\Delta y)^2)/(0-\Delta y)}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}2 =2 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 2번
# 편도함수계산보통자동 분류
605.CLP-3 · 2.2절 · 10번대학 수준우리말 번역

ff 를 일변수 미분가능한 임의의 함수라 하자. z(x,y)=f(x2+y2)z(x,y)=f(x^2+y^2) 으로 정의할 때, 등식

y∂z∂x(x,y)−x∂z∂y(x,y)=0y\frac{\partial z}{\partial x}(x,y)-x\frac{\partial z}{\partial y}(x,y) = 0

은 반드시 성립하는지 판단하세요.

영어 원문 보기

Let ff be any differentiable function of one variable. Define z(x,y)=f(x2+y2)z(x,y)=f(x^2+y^2). Is the equation

y∂z∂x(x,y)−x∂z∂y(x,y)=0y\frac{\partial z}{\partial x}(x,y)-x\frac{\partial z}{\partial y}(x,y) = 0

necessarily satisfied?

답 쓰고 채점
정답·풀이 보기

z(x,y)=f(x2+y2)z(x,y)=f(x^2+y^2) 이므로

∂z∂x(x,y)=2xf′(x2+y2)∂z∂y(x,y)=2yf′(x2+y2)\begin{aligned} \frac{\partial z}{\partial x}(x,y)&=2xf'(x^2+y^2) \\ \frac{\partial z}{\partial y}(x,y)&=2yf'(x^2+y^2) \end{aligned}

이다. 이는 (일반적인 일변수) 합성함수의 미분법에 의한 것이다. 따라서

y∂z∂x−x∂z∂y=y(2x)f′(x2+y2)−x(2y)f′(x2+y2)=0y\frac{\partial z}{\partial x}-x\frac{\partial z}{\partial y} =y(2x)f'(x^2+y^2)-x(2y)f'(x^2+y^2)=0

이고, ff 가 미분가능하여 연쇄 법칙을 적용할 수 있다고 하면 이 미분방정식은 항상 성립한다.

원본 교재 풀이(영어)

As z(x,y)=f(x2+y2)z(x,y)=f(x^2+y^2)

∂z∂x(x,y)=2xf′(x2+y2)∂z∂y(x,y)=2yf′(x2+y2)\begin{aligned} \frac{\partial z}{\partial x}(x,y)&=2xf'(x^2+y^2) \\ \frac{\partial z}{\partial y}(x,y)&=2yf'(x^2+y^2) \end{aligned}

by the (ordinary single variable) chain rule. So

y∂z∂x−x∂z∂y=y(2x)f′(x2+y2)−x(2y)f′(x2+y2)=0y\frac{\partial z}{\partial x}-x\frac{\partial z}{\partial y} =y(2x)f'(x^2+y^2)-x(2y)f'(x^2+y^2)=0

and the differential equation is always satisfied, assuming that ff is differentiable, so that the chain rule applies.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 12번
# 편도함수계산도전자동 분류
606.CLP-3 · 2.2절 · 11번대학 수준우리말 번역

함수

f(x,y)={(x+2y)2x+yx+y≠0 이면0x+y=0 이면f(x,y)=\begin{cases}\frac{(x+2y)^2}{x+y}& \text{$x+y\ne 0$ 이면} \\ 0 &\text{$x+y=0$ 이면} \end{cases}

를 정의하자.

(a) 가능하면 ∂f∂x(0,0)\frac{\partial f}{\partial x}(0,0) 과 ∂f∂y(0,0)\frac{\partial f}{\partial y}(0,0) 의 값을 구하세요. (b) f(x,y)f(x,y) 는 (0,0)(0,0) 에서 연속인지 판단하세요.

영어 원문 보기

Define the function

f(x,y)={(x+2y)2x+yif x+y≠00if x+y=0f(x,y)=\begin{cases}\frac{(x+2y)^2}{x+y}& \text{if $x+y\ne 0$} \\ 0 &\text{if $x+y=0$} \end{cases}

(a) Evaluate, if possible, ∂f∂x(0,0)\frac{\partial f}{\partial x}(0,0) and ∂f∂y(0,0)\frac{\partial f}{\partial y}(0,0). (b) Is f(x,y)f(x,y) continuous at (0,0)(0,0)?

정답·풀이 보기

정의에 의해

∂f∂x(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0(Δx+2×0)2Δx+0−0Δx=lim⁡Δx→0ΔxΔx=1\begin{aligned} \frac{\partial f}{\partial x}(0,0) &=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)-f(0,0)}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}\frac{\frac{(\Delta x+2\times 0)^2}{\Delta x+0}-0}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}\frac{\Delta x}{\Delta x} \\ &=1 \end{aligned}

이고

∂f∂y(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0(0+2Δy)20+Δy−0Δy=lim⁡Δy→04ΔyΔy=4\begin{aligned} \frac{\partial f}{\partial y}(0,0) &=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)-f(0,0)}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}\frac{\frac{(0+2\Delta y)^2}{0+\Delta y}-0}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}\frac{4\Delta y}{\Delta y} \\ &=4 \end{aligned}

이다.

(b) f(x,y)f(x,y) 는 (0,0)(0,0) 에서 두 편도함수가 모두 존재하지만 연속이 아니다. 이를 확인하기 위해 좌표를 (x,y)(x,y) 에서 (X,y)(X,y) 로 바꾸되 X=x+yX=x+y (분모)로 둔다. 물론 (x,y)→(0,0)(x,y)\rightarrow (0,0) 인 것과 (X,y)→(0,0)(X,y)\rightarrow (0,0) 인 것은 동치이다. 이제 XX 가 yy 보다 훨씬 작은 상태로 (X,y)→(0,0)(X,y)\rightarrow(0,0) 일 때 어떻게 되는지 보자. 예를 들어 X=ay2X=ay^2 이면

(x+2y)2x+y=(X+y)2X=(ay2+y)2ay2=(1+ay)2a→1a\begin{aligned} \frac{(x+2y)^2}{x+y}=\frac{(X+y)^2}{X}=\frac{(ay^2+y)^2}{ay^2} =\frac{(1+ay)^2}{a}\rightarrow\frac{1}{a} \end{aligned}

이다. 이 값은 aa 에 따라 달라진다. 따라서 서로 다른 경로를 따라 (0,0)(0,0) 에 접근하면 극한이 서로 다르다. (좌표를 바꾸지 않고도 x=−y+ay2x=-y+ay^2 으로 놓고 (x,y)→(0,0)(x,y)\rightarrow (0,0) 으로 보내면 같은 현상을 볼 수 있다.) 더 극단적으로, X=y3X=y^3 으로 놓고 (X,y)→(0,0)(X,y)\rightarrow(0,0) 일 때를 보면

(x+2y)2x+y=(X+y)2X=(y3+y)2y3=(1+y2)2y→±∞\frac{(x+2y)^2}{x+y}=\frac{(X+y)^2}{X}=\frac{(y^3+y)^2}{y^3} =\frac{{(1+y^2)}^2}{y}\rightarrow\pm\infty

이다.

원본 교재 풀이(영어)

By definition

∂f∂x(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0(Δx+2×0)2Δx+0−0Δx=lim⁡Δx→0ΔxΔx=1\begin{aligned} \frac{\partial f}{\partial x}(0,0) &=\lim_{\Delta x\rightarrow 0}\frac{f(\Delta x,0)-f(0,0)}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}\frac{\frac{(\Delta x+2\times 0)^2}{\Delta x+0}-0}{\Delta x} \\ &=\lim_{\Delta x\rightarrow 0}\frac{\Delta x}{\Delta x} \\ &=1 \end{aligned}

and

∂f∂y(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0(0+2Δy)20+Δy−0Δy=lim⁡Δy→04ΔyΔy=4\begin{aligned} \frac{\partial f}{\partial y}(0,0) &=\lim_{\Delta y\rightarrow 0}\frac{f(0,\Delta y)-f(0,0)}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}\frac{\frac{(0+2\Delta y)^2}{0+\Delta y}-0}{\Delta y} \\ &=\lim_{\Delta y\rightarrow 0}\frac{4\Delta y}{\Delta y} \\ &=4 \end{aligned}

(b) f(x,y)f(x,y) is not continuous at (0,0)(0,0), even though both partial derivatives exist there. To see this, make a change of coordinates from (x,y)(x,y) to (X,y)(X,y) with X=x+yX=x+y (the denominator). Of course, (x,y)→(0,0)(x,y)\rightarrow (0,0) if and only if (X,y)→(0,0)(X,y)\rightarrow (0,0). Now watch what happens when (X,y)→(0,0)(X,y)\rightarrow(0,0) with XX a lot smaller than yy. For example, X=ay2X=ay^2. Then

(x+2y)2x+y=(X+y)2X=(ay2+y)2ay2=(1+ay)2a→1a\begin{aligned} \frac{(x+2y)^2}{x+y}=\frac{(X+y)^2}{X}=\frac{(ay^2+y)^2}{ay^2} =\frac{(1+ay)^2}{a}\rightarrow\frac{1}{a} \end{aligned}

This depends on aa. So approaching (0,0)(0,0) along different paths gives different limits. (You can see the same effect without changing coordinates by sending (x,y)→(0,0)(x,y)\rightarrow (0,0) with x=−y+ay2x=-y+ay^2.) Even more dramatically, watch what happens when (X,y)→(0,0)(X,y)\rightarrow(0,0) with X=y3X=y^3. Then

(x+2y)2x+y=(X+y)2X=(y3+y)2y3=(1+y2)2y→±∞\frac{(x+2y)^2}{x+y}=\frac{(X+y)^2}{X}=\frac{(y^3+y)^2}{y^3} =\frac{{(1+y^2)}^2}{y}\rightarrow\pm\infty

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 10번
# 편도함수계산도전자동 분류
607.CLP-3 · 2.2절 · 12번대학 수준우리말 번역

밑면이 xyxy 평면 위에서 중심이 (0,0)(0,0) 이고 반지름이 1인 원이고, yzyz 평면에서 직선 z=yz=y 에 평행하게 기울어진 원기둥을 생각하세요.

그림

점 (0,−1,0)(0,-1,0) 에 서서 yy 축의 양의 방향을 바라볼 때, 곡면의 기울기는 얼마인가요? xx 축의 양의 방향을 바라볼 때는 얼마인가요?

영어 원문 보기

Consider the cylinder whose base is the radius-1 circle in the xyxy-plane centred at (0,0)(0,0), and which slopes parallel to the line in the yzyz-plane given by z=yz=y.

figure

When you stand at the point (0,−1,0)(0,-1,0), what is the slope of the surface if you look in the positive yy direction? The positive xx direction?

정답·풀이 보기

풀이 1

먼저 이 곡면의 방정식을 구하자. 모든 등위곡선은 반지름이 1인 수평 방향의 원이므로, 방정식은 다음 꼴이어야 한다.

(x−f1)2+(y−f2)2=1(x-f_1)^2+(y-f_2)^2=1

여기서 f1f_1 과 f2f_2 는 zz 에만 의존하는 함수이다. 높이 zz 에서 원의 중심이 x=0x=0, y=zy=z 에 있으므로, 이 곡면의 방정식은 다음과 같다.

x2+(y−z)2=1x^2+(y-z)^2=1

점 (x,y)(x,y) 에서 곡면의 높이는 이 방정식을 풀어 얻은 z(x,y)z(x,y) 이다. 즉,

x2+(y−z(x,y))2=1(∗)x^2+\big(y-z(x,y)\big)^2=1 \tag{$*$}

원하는 점 (x,y)=(0,−1)(x,y)= (0,-1) 에서 zx(x,y)z_x(x,y) 와 zy(x,y)z_y(x,y) 를 구하기 위해 이 등식을 음함수 미분한다. 먼저 (∗)(*) 를 yy 에 대해 미분하면

0+2(y−z(x,y))(1−zy(x,y))=02(−1−0)(1−zy(0,−1))=0 에서 (0,−1,0)\begin{aligned} 0+2\big(y-z(x,y)\big)\big(1- z_y(x,y)\big)&=0 \\ 2(-1-0)\big(1-z_y(0,-1)\big)&=0& & \text{ 에서 } (0,-1,0) \end{aligned}

이므로 yy 축의 양의 방향을 바라볼 때의 기울기는 zy(0,−1)=1z_y(0,-1)=1 이다. 마찬가지로 (∗)(*) 를 xx 에 대해 미분하면

2x+2(y−z(x,y))⋅(0−zx(x,y))=02x=2(y−z(x,y))⋅zx(x,y)zx(x,y)=xy−z(x,y)zx(0,−1)=0 에서 (0,−1,0)\begin{aligned} 2x+2\big(y-z(x,y)\big)\cdot\big(0-z_x(x,y)\big)&=0 \\ 2x&=2\big(y-z(x,y)\big)\cdot z_x(x,y)\\ z_x(x,y)&=\frac{x}{y-z(x,y)}\\ z_x(0,-1)&=0 &\text{ 에서 } (0,-1,0) \end{aligned}

xx 축의 양의 방향을 바라볼 때의 기울기는 zx(0,−1)=0z_x(0,-1)=0 이다.

풀이 2

(0,−1,0)(0,-1,0) 에 서서 yy 축의 양의 방향을 바라보면, 곡면은 다음 조건을 만족하는 직선을 따른다.

  • 점 (0,−1,0)(0,-1,0) 을 지난다.
  • 원기둥의 중심선 z=y,x=0z=y, x=0 에 평행하다.

중심선을 yy 방향으로 1만큼 옮기면 직선 z=y+1z=y+1, x=0x=0 을 얻는다. (확인해 보면 (0,−1,0)(0,-1,0) 은 실제로 z=y+1z=y+1, x=0x=0 위에 있다.) 이 직선의 기울기는 1이다.

(0,−1,0)(0,-1,0) 에 서서 xx 축의 양의 방향을 바라보면, 곡면은 원 x2+y2=1x^2+y^2=1, z=0z=0 을 따른다. 이 원은 원기둥과 xyxy 평면의 교선이다. 이 원을 따라 움직이는 동안 zz 좌표는 00 으로 고정된다. 따라서 이 방향의 기울기는 0이다.

원본 교재 풀이(영어)

Solution 1

Let's start by finding an equation for this surface. Every level curve is a horizontal circle of radius one, so the equation should be of the form

(x−f1)2+(y−f2)2=1(x-f_1)^2+(y-f_2)^2=1

where f1f_1 and f2f_2 are functions depending only on zz. Since the centre of the circle at height zz is at position x=0x=0, y=zy=z, we see that the equation of our surface is

x2+(y−z)2=1x^2+(y-z)^2=1

The height of the surface at the point (x,y)(x,y) is the z(x,y)z(x,y) found by solving that equation. That is,

x2+(y−z(x,y))2=1(∗)x^2+\big(y-z(x,y)\big)^2=1 \tag{$*$}

We differentiate this equation implicitly to find zx(x,y)z_x(x,y) and zy(x,y)z_y(x,y) at the desired point (x,y)=(0,−1)(x,y)= (0,-1). First, differentiating (∗)(*) with respect to yy gives

0+2(y−z(x,y))(1−zy(x,y))=02(−1−0)(1−zy(0,−1))=0 at (0,−1,0)\begin{aligned} 0+2\big(y-z(x,y)\big)\big(1- z_y(x,y)\big)&=0 \\ 2(-1-0)\big(1-z_y(0,-1)\big)&=0& & \text{ at } (0,-1,0) \end{aligned}

so that the slope looking in the positive yy direction is zy(0,−1)=1z_y(0,-1)=1. Similarly, differentiating (∗)(*) with respect to xx gives

2x+2(y−z(x,y))⋅(0−zx(x,y))=02x=2(y−z(x,y))⋅zx(x,y)zx(x,y)=xy−z(x,y)zx(0,−1)=0 at (0,−1,0)\begin{aligned} 2x+2\big(y-z(x,y)\big)\cdot\big(0-z_x(x,y)\big)&=0 \\ 2x&=2\big(y-z(x,y)\big)\cdot z_x(x,y)\\ z_x(x,y)&=\frac{x}{y-z(x,y)}\\ z_x(0,-1)&=0 &\text{ at } (0,-1,0) \end{aligned}

The slope looking in the positive xx direction is zx(0,−1)=0z_x(0,-1)=0.

Solution 2

Standing at (0,−1,0)(0,-1,0) and looking in the positive yy direction, the surface follows the straight line that

  • passes through the point (0,−1,0)(0,-1,0), and
  • is parallel to the central line z=y,x=0z=y, x=0 of the cylinder.

Shifting the central line one unit in the yy-direction, we get the line z=y+1z=y+1, x=0x=0. (As a check, notice that (0,−1,0)(0,-1,0) is indeed on z=y+1z=y+1, x=0x=0.) The slope of this line is 1.

Standing at (0,−1,0)(0,-1,0) and looking in the positive xx direction, the surface follows the circle x2+y2=1x^2+y^2=1, z=0z=0, which is the intersection of the cylinder with the xyxy-plane. As we move along that circle our zz coordinate stays fixed at 00. So the slope in that direction is 0.

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4장 복습 · 4번
# 편도함수그래프·표 해석도전자동 분류
608.CLP-3 · 2.3절 · 2번대학 수준우리말 번역

가능하다면, fx(x,y)=eyf_x(x,y)=e^y 이고 fy(x,y)=exf_y(x,y)=e^x 인 함수 f(x,y)f(x,y) 를 구하세요.

영어 원문 보기

Find, if possible, a function f(x,y)f(x,y) for which fx(x,y)=eyf_x(x,y)=e^y and fy(x,y)=exf_y(x,y)=e^x.

정답·풀이 보기

그러한 f(x,y)f(x,y) 는 존재하지 않는다. 만약 존재한다면 fxy(x,y)=fyx(x,y)f_{xy}(x,y)=f_{yx}(x,y) 이어야 하기 때문이다. 그런데

fxy(x,y)=∂∂yfx(x,y)=∂∂yey=eyfyx(x,y)=∂∂xfy(x,y)=∂∂xex=ex\begin{aligned} f_{xy}(x,y)&=\frac{\partial }{\partial y}f_x(x,y)=\frac{\partial }{\partial y}e^y=e^y \\ f_{yx}(x,y)&=\frac{\partial }{\partial x}f_y(x,y)=\frac{\partial }{\partial x}e^x=e^x \end{aligned}

이므로 두 값은 서로 같지 않다.

원본 교재 풀이(영어)

No such f(x,y)f(x,y) exists, because if it were to exist, then we would have that fxy(x,y)=fyx(x,y)f_{xy}(x,y)=f_{yx}(x,y). But

fxy(x,y)=∂∂yfx(x,y)=∂∂yey=eyfyx(x,y)=∂∂xfy(x,y)=∂∂xex=ex\begin{aligned} f_{xy}(x,y)&=\frac{\partial }{\partial y}f_x(x,y)=\frac{\partial }{\partial y}e^y=e^y \\ f_{yx}(x,y)&=\frac{\partial }{\partial x}f_y(x,y)=\frac{\partial }{\partial x}e^x=e^x \end{aligned}

are not equal.

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.3절 · 4번
# 편도함수계산기본자동 분류
609.CLP-3 · 2.3절 · 3번대학 수준우리말 번역

주어진 편도함수를 구하세요.

(a) f(x,y)=x2y3f(x,y) = x^2y^3; fxx(x,y)f_{xx}(x,y), fxyy(x,y)f_{xyy}(x,y), fyxy(x,y)f_{yxy}(x,y) (b) f(x,y)=exy2f(x,y) = e^{xy^2}; fxx(x,y)f_{xx}(x,y), fxy(x,y)f_{xy}(x,y), fxxy(x,y)f_{xxy}(x,y), fxyy(x,y)f_{xyy}(x,y) (c) f(u,v,w)=1u+2v+3w \displaystyle f(u,v,w) = \frac{1}{u+2v+3w}\ , ∂3f∂u∂v∂w(u,v,w) \displaystyle \frac{\partial^3 f}{\partial u\partial v\partial w}(u,v,w)\ , ∂3f∂u∂v∂w(3,2,1)\displaystyle \frac{\partial^3 f}{\partial u\partial v\partial w}(3,2,1)

영어 원문 보기

Find the specified partial derivatives.

(a) f(x,y)=x2y3f(x,y) = x^2y^3; fxx(x,y)f_{xx}(x,y), fxyy(x,y)f_{xyy}(x,y), fyxy(x,y)f_{yxy}(x,y) (b) f(x,y)=exy2f(x,y) = e^{xy^2}; fxx(x,y)f_{xx}(x,y), fxy(x,y)f_{xy}(x,y), fxxy(x,y)f_{xxy}(x,y), fxyy(x,y)f_{xyy}(x,y) (c) f(u,v,w)=1u+2v+3w \displaystyle f(u,v,w) = \frac{1}{u+2v+3w}\ , ∂3f∂u∂v∂w(u,v,w) \displaystyle \frac{\partial^3 f}{\partial u\partial v\partial w}(u,v,w)\ , ∂3f∂u∂v∂w(3,2,1)\displaystyle \frac{\partial^3 f}{\partial u\partial v\partial w}(3,2,1)

정답·풀이 보기

(a) 다음과 같다.

fx(x,y)=2xy3fxx(x,y)=2y3fxy(x,y)=6xy2fyxy(x,y)=fxyy(x,y)=12xy\begin{aligned} f_x(x,y) &= 2xy^3 & f_{xx}(x,y) &= 2y^3 \\ & & f_{xy}(x,y) &= 6xy^2 & f_{yxy}(x,y) = f_{xyy}(x,y) &= 12xy \end{aligned}

(b) 다음과 같다.

fx(x,y)=y2exy2fxx(x,y)=y4exy2fxxy(x,y)=4y3exy2+2xy5exy2fxy(x,y)=2yexy2+2xy3exy2fxyy(x,y)=(2+4xy2+6xy2+4x2y4)exy2=(2+10xy2+4x2y4)exy2\begin{aligned} f_x(x,y) &= y^2e^{xy^2} & f_{xx}(x,y) &= y^4e^{xy^2} & f_{xxy}(x,y) &= 4y^3e^{xy^2} + 2xy^5e^{xy^2} \\ & & f_{xy}(x,y) &= 2ye^{xy^2}+2xy^3e^{xy^2} & f_{xyy}(x,y) &= \big(2+4xy^2+6xy^2+4x^2y^4\big)e^{xy^2}\\ & & & & &= \big(2+10xy^2+4x^2y^4\big)e^{xy^2} \end{aligned}

(c) 다음과 같다.

∂f∂u(u,v,w)=−1(u+2v+3w)2∂2f∂u ∂v(u,v,w)=4(u+2v+3w)3∂3f∂u ∂v ∂w(u,v,w)=−36(u+2v+3w)4\begin{aligned} \frac{\partial f}{\partial u}(u,v,w) &= -\frac{1}{(u+2v+3w)^2} \\ \frac{\partial^2 f}{\partial u\,\partial v}(u,v,w) &= \frac{4}{(u+2v+3w)^3} \\ \frac{\partial^3 f}{\partial u\,\partial v\,\partial w}(u,v,w) &= -\frac{36}{(u+2v+3w)^4} \end{aligned}

특히

∂3f∂u ∂v ∂w(3,2,1)=−36(3+2×2+3×1)4=−36104=−92500\begin{aligned} \frac{\partial^3 f}{\partial u\,\partial v\,\partial w}(3,2,1) &= -\frac{36}{(3+2\times 2+3\times 1)^4} = -\frac{36}{10^4} = -\frac{9}{2500} \end{aligned}

원본 교재 풀이(영어)

(a) We have

fx(x,y)=2xy3fxx(x,y)=2y3fxy(x,y)=6xy2fyxy(x,y)=fxyy(x,y)=12xy\begin{aligned} f_x(x,y) &= 2xy^3 & f_{xx}(x,y) &= 2y^3 \\ & & f_{xy}(x,y) &= 6xy^2 & f_{yxy}(x,y) = f_{xyy}(x,y) &= 12xy \end{aligned}

(b) We have

fx(x,y)=y2exy2fxx(x,y)=y4exy2fxxy(x,y)=4y3exy2+2xy5exy2fxy(x,y)=2yexy2+2xy3exy2fxyy(x,y)=(2+4xy2+6xy2+4x2y4)exy2=(2+10xy2+4x2y4)exy2\begin{aligned} f_x(x,y) &= y^2e^{xy^2} & f_{xx}(x,y) &= y^4e^{xy^2} & f_{xxy}(x,y) &= 4y^3e^{xy^2} + 2xy^5e^{xy^2} \\ & & f_{xy}(x,y) &= 2ye^{xy^2}+2xy^3e^{xy^2} & f_{xyy}(x,y) &= \big(2+4xy^2+6xy^2+4x^2y^4\big)e^{xy^2}\\ & & & & &= \big(2+10xy^2+4x^2y^4\big)e^{xy^2} \end{aligned}

(c) We have

∂f∂u(u,v,w)=−1(u+2v+3w)2∂2f∂u ∂v(u,v,w)=4(u+2v+3w)3∂3f∂u ∂v ∂w(u,v,w)=−36(u+2v+3w)4\begin{aligned} \frac{\partial f}{\partial u}(u,v,w) &= -\frac{1}{(u+2v+3w)^2} \\ \frac{\partial^2 f}{\partial u\,\partial v}(u,v,w) &= \frac{4}{(u+2v+3w)^3} \\ \frac{\partial^3 f}{\partial u\,\partial v\,\partial w}(u,v,w) &= -\frac{36}{(u+2v+3w)^4} \end{aligned}

In particular

∂3f∂u ∂v ∂w(3,2,1)=−36(3+2×2+3×1)4=−36104=−92500\begin{aligned} \frac{\partial^3 f}{\partial u\,\partial v\,\partial w}(3,2,1) &= -\frac{36}{(3+2\times 2+3\times 1)^4} = -\frac{36}{10^4} = -\frac{9}{2500} \end{aligned}

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.3절 · 18번
# 편도함수계산보통자동 분류
610.CLP-3 · 2.3절 · 4번대학 수준우리말 번역

f(x,y)=x2+5y2f(x,y)=\sqrt{x^2+5y^2} 의 모든 이계편도함수를 구하세요.

영어 원문 보기

Find all second partial derivatives of f(x,y)=x2+5y2f(x,y)=\sqrt{x^2+5y^2}.

정답·풀이 보기

f(x,y)=x2+5y2f(x,y)=\sqrt{x^2+5y^2} 이라 하자. 그러면

fx=xx2+5y2fxx=1x2+5y2−12(x)(2x)(x2+5y2)3/2fxy=−12(x)(10y)(x2+5y2)3/2fy=5yx2+5y2fyy=5x2+5y2−12(5y)(10y)(x2+5y2)3/2fyx=−12(5y)(2x)(x2+5y2)3/2\begin{aligned} f_x&=\frac{x}{\sqrt{x^2+5y^2}} & f_{xx}&=\frac{1}{\sqrt{x^2+5y^2}}-\frac{1}{2}\frac{(x)(2x)}{(x^2+5y^2)^{3/2}} & f_{xy}&=-\frac{1}{2}\frac{(x)(10y)}{(x^2+5y^2)^{3/2}} \\ f_y&=\frac{5y}{\sqrt{x^2+5y^2}} & f_{yy}&=\frac{5}{\sqrt{x^2+5y^2}}-\frac{1}{2}\frac{(5y)(10y)}{(x^2+5y^2)^{3/2}}& f_{yx}&=-\frac{1}{2}\frac{(5y)(2x)}{(x^2+5y^2)^{3/2}} \end{aligned}

간단히 하면, 특히 1x2+5y2=x2+5y2(x2+5y2)3/2\frac{1}{\sqrt{x^2+5y^2}} =\frac{x^2+5y^2}{(x^2+5y^2)^{3/2}} 임을 이용하면,

fxx=5y2(x2+5y2)3/2fxy=fyx=−5xy(x2+5y2)3/2fyy=5x2(x2+5y2)3/2f_{xx}=\frac{5y^2}{(x^2+5y^2)^{3/2}}\qquad f_{xy}=f_{yx}=-\frac{5xy}{(x^2+5y^2)^{3/2}}\qquad f_{yy}=\frac{5x^2}{(x^2+5y^2)^{3/2}}

원본 교재 풀이(영어)

Let f(x,y)=x2+5y2f(x,y)=\sqrt{x^2+5y^2}. Then

fx=xx2+5y2fxx=1x2+5y2−12(x)(2x)(x2+5y2)3/2fxy=−12(x)(10y)(x2+5y2)3/2fy=5yx2+5y2fyy=5x2+5y2−12(5y)(10y)(x2+5y2)3/2fyx=−12(5y)(2x)(x2+5y2)3/2\begin{aligned} f_x&=\frac{x}{\sqrt{x^2+5y^2}} & f_{xx}&=\frac{1}{\sqrt{x^2+5y^2}}-\frac{1}{2}\frac{(x)(2x)}{(x^2+5y^2)^{3/2}} & f_{xy}&=-\frac{1}{2}\frac{(x)(10y)}{(x^2+5y^2)^{3/2}} \\ f_y&=\frac{5y}{\sqrt{x^2+5y^2}} & f_{yy}&=\frac{5}{\sqrt{x^2+5y^2}}-\frac{1}{2}\frac{(5y)(10y)}{(x^2+5y^2)^{3/2}}& f_{yx}&=-\frac{1}{2}\frac{(5y)(2x)}{(x^2+5y^2)^{3/2}} \end{aligned}

Simplifying, and in particular using that 1x2+5y2=x2+5y2(x2+5y2)3/2\frac{1}{\sqrt{x^2+5y^2}} =\frac{x^2+5y^2}{(x^2+5y^2)^{3/2}},

fxx=5y2(x2+5y2)3/2fxy=fyx=−5xy(x2+5y2)3/2fyy=5x2(x2+5y2)3/2f_{xx}=\frac{5y^2}{(x^2+5y^2)^{3/2}}\qquad f_{xy}=f_{yx}=-\frac{5xy}{(x^2+5y^2)^{3/2}}\qquad f_{yy}=\frac{5x^2}{(x^2+5y^2)^{3/2}}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.3절 · 3번
# 편도함수활용보통자동 분류
611.CLP-3 · 2.3절 · 5번대학 수준우리말 번역

주어진 편도함수를 구하세요.

(a) f(x,y,z)=arctan⁡(exy)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big); fxyz(x,y,z)f_{xyz}(x,y,z) (b) f(x,y,z)=arctan⁡(exy)+arctan⁡(exz)+arctan⁡(eyz)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) +\arctan\big(e^{\sqrt{xz}}\big) +\arctan\big(e^{\sqrt{yz}}\big); fxyz(x,y,z)f_{xyz}(x,y,z) (c) f(x,y,z)=arctan⁡(exyz)f(x,y,z) = \arctan\big(e^{\sqrt{xyz}}\big); fxx(1,0,0)f_{xx}(1,0,0)

영어 원문 보기

Find the specified partial derivatives.

(a) f(x,y,z)=arctan⁡(exy)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big); fxyz(x,y,z)f_{xyz}(x,y,z) (b) f(x,y,z)=arctan⁡(exy)+arctan⁡(exz)+arctan⁡(eyz)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) +\arctan\big(e^{\sqrt{xz}}\big) +\arctan\big(e^{\sqrt{yz}}\big); fxyz(x,y,z)f_{xyz}(x,y,z) (c) f(x,y,z)=arctan⁡(exyz)f(x,y,z) = \arctan\big(e^{\sqrt{xyz}}\big); fxx(1,0,0)f_{xx}(1,0,0)

정답·풀이 보기

(a) f(x,y,z)=arctan⁡(exy)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) 는 zz 에 무관하므로 fz(x,y,z)=0f_z(x,y,z) = 0 이고, 따라서

fxyz(x,y,z)=fzxy(x,y,z)=0f_{xyz}(x,y,z) =f_{zxy}(x,y,z) =0

이다.

(b) u(x,y,z)=arctan⁡(exy)u(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big), v(x,y,z)=arctan⁡(exz)v(x,y,z) = \arctan\big(e^{\sqrt{xz}}\big), w(x,y,z)=arctan⁡(eyz)w(x,y,z) = \arctan\big(e^{\sqrt{yz}}\big) 라 하자. 그러면

  • u(x,y,z)=arctan⁡(exy)u(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) 는 zz 에 무관하므로 uz(x,y,z)=0u_z(x,y,z) = 0 이고, 따라서 uxyz(x,y,z)=uzxy(x,y,z)=0 u_{xyz}(x,y,z) =u_{zxy}(x,y,z) =0
  • v(x,y,z)=arctan⁡(exz)v(x,y,z) = \arctan\big(e^{\sqrt{xz}}\big) 는 yy 에 무관하므로 vy(x,y,z)=0v_y(x,y,z) = 0 이고, 따라서 vxyz(x,y,z)=vyxz(x,y,z)=0 v_{xyz}(x,y,z) =v_{yxz}(x,y,z) =0
  • w(x,y,z)=arctan⁡(eyz)w(x,y,z) = \arctan\big(e^{\sqrt{yz}}\big) 는 xx 에 무관하므로 wx(x,y,z)=0w_x(x,y,z) = 0 이고, 따라서 wxyz(x,y,z)=0 w_{xyz}(x,y,z) =0

f(x,y,z)=u(x,y,z)+v(x,y,z)+w(x,y,z)f(x,y,z)=u(x,y,z)+v(x,y,z)+w(x,y,z) 이므로

fxyz(x,y,z)=uxyz(x,y,z)+vxyz(x,y,z)+wxyz(x,y,z)=0f_{xyz}(x,y,z)=u_{xyz}(x,y,z)+v_{xyz}(x,y,z)+w_{xyz}(x,y,z)=0

이다.

(c) fxx(x,0,0)f_{xx}(x,0,0) 을 구하는 과정에서 yy 와 zz 는 모두 00 으로 고정된다. 따라서 g(x)=f(x,0,0)g(x) = f(x,0,0) 이라 하면 fxx(x,0,0)=g′′(x)f_{xx}(x,0,0)=g''(x) 이다. 이제

g(x)=f(x,0,0)=arctan⁡(exyz)∣y=z=0=arctan⁡(1)=π4g(x) = f(x,0,0) = \arctan\big(e^{\sqrt{xyz}}\big)\Big|_{y=z=0} =\arctan(1) =\frac{\pi}{4}

이고 이는 모든 xx 에 대해 성립한다. 그러므로 모든 xx 에 대해 g′(x)=0g'(x)=0 이고 g′′(x)=0g''(x)=0 이다. 특히

fxx(1,0,0)=g′′(1)=0f_{xx}(1,0,0) = g''(1) = 0

이다.

원본 교재 풀이(영어)

(a) As f(x,y,z)=arctan⁡(exy)f(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) is independent of zz, we have fz(x,y,z)=0f_z(x,y,z) = 0 and hence

fxyz(x,y,z)=fzxy(x,y,z)=0f_{xyz}(x,y,z) =f_{zxy}(x,y,z) =0

(b) Write u(x,y,z)=arctan⁡(exy)u(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big), v(x,y,z)=arctan⁡(exz)v(x,y,z) = \arctan\big(e^{\sqrt{xz}}\big) and w(x,y,z)=arctan⁡(eyz)w(x,y,z) = \arctan\big(e^{\sqrt{yz}}\big). Then

  • As u(x,y,z)=arctan⁡(exy)u(x,y,z) = \arctan\big(e^{\sqrt{xy}}\big) is independent of zz, we have uz(x,y,z)=0u_z(x,y,z) = 0 and hence uxyz(x,y,z)=uzxy(x,y,z)=0 u_{xyz}(x,y,z) =u_{zxy}(x,y,z) =0
  • As v(x,y,z)=arctan⁡(exz)v(x,y,z) = \arctan\big(e^{\sqrt{xz}}\big) is independent of yy, we have vy(x,y,z)=0v_y(x,y,z) = 0 and hence vxyz(x,y,z)=vyxz(x,y,z)=0 v_{xyz}(x,y,z) =v_{yxz}(x,y,z) =0
  • As w(x,y,z)=arctan⁡(eyz)w(x,y,z) = \arctan\big(e^{\sqrt{yz}}\big) is independent of xx, we have wx(x,y,z)=0w_x(x,y,z) = 0 and hence wxyz(x,y,z)=0 w_{xyz}(x,y,z) =0

As f(x,y,z)=u(x,y,z)+v(x,y,z)+w(x,y,z)f(x,y,z)=u(x,y,z)+v(x,y,z)+w(x,y,z), we have

fxyz(x,y,z)=uxyz(x,y,z)+vxyz(x,y,z)+wxyz(x,y,z)=0f_{xyz}(x,y,z)=u_{xyz}(x,y,z)+v_{xyz}(x,y,z)+w_{xyz}(x,y,z)=0

(c) In the course of evaluating fxx(x,0,0)f_{xx}(x,0,0), both yy and zz are held fixed at 00. Thus, if we set g(x)=f(x,0,0)g(x) = f(x,0,0), then fxx(x,0,0)=g′′(x)f_{xx}(x,0,0)=g''(x). Now

g(x)=f(x,0,0)=arctan⁡(exyz)∣y=z=0=arctan⁡(1)=π4g(x) = f(x,0,0) = \arctan\big(e^{\sqrt{xyz}}\big)\Big|_{y=z=0} =\arctan(1) =\frac{\pi}{4}

for all xx. So g′(x)=0g'(x)=0 and g′′(x)=0g''(x)=0 for all xx. In particular,

fxx(1,0,0)=g′′(1)=0f_{xx}(1,0,0) = g''(1) = 0

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.3절 · 4번
# 편도함수계산보통자동 분류
612.CLP-3 · 2.3절 · 6번대학 수준우리말 번역

mm 이 양의 정수일 때, f(r,θ)=rmcos⁡mθf(r,\theta)=r^m\cos m\theta 를 rr 과 θ\theta 의 함수라 하자.

(a) 이계편도함수 frrf_{rr}, frθf_{r\theta}, fθθf_{\theta\theta} 를 구하고, (r,θ)=(1,0)(r,\theta)=(1,0) 에서 각각의 값을 구하세요. (b) f(r,θ)f(r,\theta) 가 미분방정식

frr+λrfr+1r2fθθ=0f_{rr}+\frac{\lambda }{r}f_r+\frac{1}{r^2}f_{\theta\theta}=0

을 만족하도록 실수 λ\lambda 의 값을 구하세요.

영어 원문 보기

Let f(r,θ)=rmcos⁡mθf(r,\theta)=r^m\cos m\theta be a function of rr and θ\theta, where mm is a positive integer.

(a) Find the second order partial derivatives frrf_{rr}, frθf_{r\theta}, fθθf_{\theta\theta} and evaluate their respective values at (r,θ)=(1,0)(r,\theta)=(1,0). (b) Determine the value of the real number λ\lambda so that f(r,θ)f(r,\theta) satisfies the differential equation

frr+λrfr+1r2fθθ=0f_{rr}+\frac{\lambda }{r}f_r+\frac{1}{r^2}f_{\theta\theta}=0

정답·풀이 보기

(a) 일계편도함수는 다음과 같다.

fr(r,θ)=mrm−1cos⁡mθfθ(r,θ)=−mrmsin⁡mθf_r(r,\theta)=mr^{m-1}\cos m\theta\qquad f_\theta(r,\theta)=-mr^m\sin m\theta

이계편도함수는 다음과 같다.

frr(r,θ)=m(m−1)rm−2cos⁡mθfrθ(r,θ)=−m2rm−1sin⁡mθfθθ(r,θ)=−m2rmcos⁡mθf_{rr}(r,\theta)=m(m-1)r^{m-2}\cos m\theta\quad f_{r\theta}(r,\theta)=-m^2r^{m-1}\sin m\theta\quad f_{\theta\theta}(r,\theta)=-m^2r^m\cos m\theta

따라서

frr(1,0)=m(m−1), frθ(1,0)=0, fθθ(1,0)=−m2f_{rr}(1,0)=m(m-1),\ f_{r\theta}(1,0)=0,\ f_{\theta\theta}(1,0)=-m^2

(b) (a)에 의해 식

frr+λrfr+1r2fθθ=m(m−1)rm−2cos⁡mθ+λmrm−2cos⁡mθ−m2rm−2cos⁡mθf_{rr}+\frac{\lambda }{r}f_r+\frac{1}{r^2}f_{\theta\theta} =m(m-1)r^{m-2}\cos m\theta+\lambda mr^{m-2}\cos m\theta-m^2r^{m-2}\cos m\theta

이 모든 rr 와 θ\theta 에 대해 0이 될 필요충분조건은 다음과 같다.

m(m−1)+λm−m2=0  ⟺  m(λ−1)=0  ⟺  λ=1m(m-1)+\lambda m-m^2=0\iff m(\lambda -1)=0\iff \lambda =1

원본 교재 풀이(영어)

(a) The first order derivatives are

fr(r,θ)=mrm−1cos⁡mθfθ(r,θ)=−mrmsin⁡mθf_r(r,\theta)=mr^{m-1}\cos m\theta\qquad f_\theta(r,\theta)=-mr^m\sin m\theta

The second order derivatives are

frr(r,θ)=m(m−1)rm−2cos⁡mθfrθ(r,θ)=−m2rm−1sin⁡mθfθθ(r,θ)=−m2rmcos⁡mθf_{rr}(r,\theta)=m(m-1)r^{m-2}\cos m\theta\quad f_{r\theta}(r,\theta)=-m^2r^{m-1}\sin m\theta\quad f_{\theta\theta}(r,\theta)=-m^2r^m\cos m\theta

so that

frr(1,0)=m(m−1), frθ(1,0)=0, fθθ(1,0)=−m2f_{rr}(1,0)=m(m-1),\ f_{r\theta}(1,0)=0,\ f_{\theta\theta}(1,0)=-m^2

(b) By part (a), the expression

frr+λrfr+1r2fθθ=m(m−1)rm−2cos⁡mθ+λmrm−2cos⁡mθ−m2rm−2cos⁡mθf_{rr}+\frac{\lambda }{r}f_r+\frac{1}{r^2}f_{\theta\theta} =m(m-1)r^{m-2}\cos m\theta+\lambda mr^{m-2}\cos m\theta-m^2r^{m-2}\cos m\theta

vanishes for all rr and θ\theta if and only if

m(m−1)+λm−m2=0  ⟺  m(λ−1)=0  ⟺  λ=1m(m-1)+\lambda m-m^2=0\iff m(\lambda -1)=0\iff \lambda =1

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.3절 · 5번
# 편도함수활용보통자동 분류
613.CLP-3 · 2.3절 · 7번대학 수준우리말 번역

α>0\alpha >0 를 상수라 하자. u(x,y,z,t)=1t3/2e−(x2+y2+z2)/(4αt)\displaystyle u(x,y,z,t) =\frac{1}{t^{3/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} 가 열방정식

ut=α(uxx+uyy+uzz)u_t = \alpha \big(u_{xx} + u_{yy} + u_{zz} \big)

을 모든 t>0t>0 에 대해 만족함을 보이세요.

영어 원문 보기

Let α>0\alpha >0 be a constant. Show that u(x,y,z,t)=1t3/2e−(x2+y2+z2)/(4αt)\displaystyle u(x,y,z,t) =\frac{1}{t^{3/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} satisfies the heat equation

ut=α(uxx+uyy+uzz)u_t = \alpha \big(u_{xx} + u_{yy} + u_{zz} \big)

for all t>0t>0

정답·풀이 보기

ut(x,y,z,t)=−321t5/2e−(x2+y2+z2)/(4αt)+14α t7/2(x2+y2+z2)e−(x2+y2+z2)/(4αt)ux(x,y,z,t)=−x2α t5/2e−(x2+y2+z2)/(4αt)uxx(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+x24α2 t7/2e−(x2+y2+z2)/(4αt)uyy(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+y24α2 t7/2e−(x2+y2+z2)/(4αt)uzz(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+z24α2 t7/2e−(x2+y2+z2)/(4αt)\begin{aligned} u_t(x,y,z,t) &=-\frac{3}{2}\frac{1}{t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{1}{4\alpha \,t^{7/2}}(x^2+y^2+z^2) e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_x(x,y,z,t) &=-\frac{x}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{xx}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{x^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{yy}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{y^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{zz}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{z^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \end{aligned}

이므로 다음을 얻는다.

α(uxx+uyy+uzz)=−32 t5/2e−(x2+y2+z2)/(4αt)+x2+y2+z24α t7/2e−(x2+y2+z2)/(4αt)=ut\begin{aligned} \alpha \big(u_{xx} + u_{yy} + u_{zz} \big) &=-\frac{3}{2\,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{x^2+y^2+z^2}{4\alpha \,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} =u_t \end{aligned}

원본 교재 풀이(영어)

As

ut(x,y,z,t)=−321t5/2e−(x2+y2+z2)/(4αt)+14α t7/2(x2+y2+z2)e−(x2+y2+z2)/(4αt)ux(x,y,z,t)=−x2α t5/2e−(x2+y2+z2)/(4αt)uxx(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+x24α2 t7/2e−(x2+y2+z2)/(4αt)uyy(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+y24α2 t7/2e−(x2+y2+z2)/(4αt)uzz(x,y,z,t)=−12α t5/2e−(x2+y2+z2)/(4αt)+z24α2 t7/2e−(x2+y2+z2)/(4αt)\begin{aligned} u_t(x,y,z,t) &=-\frac{3}{2}\frac{1}{t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{1}{4\alpha \,t^{7/2}}(x^2+y^2+z^2) e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_x(x,y,z,t) &=-\frac{x}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{xx}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{x^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{yy}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{y^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \\ u_{zz}(x,y,z,t) &=-\frac{1}{2\alpha \,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{z^2}{4\alpha ^2\,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} \end{aligned}

we have

α(uxx+uyy+uzz)=−32 t5/2e−(x2+y2+z2)/(4αt)+x2+y2+z24α t7/2e−(x2+y2+z2)/(4αt)=ut\begin{aligned} \alpha \big(u_{xx} + u_{yy} + u_{zz} \big) &=-\frac{3}{2\,t^{5/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} +\frac{x^2+y^2+z^2}{4\alpha \,t^{7/2}} e^{-(x^2+y^2+z^2)/(4\alpha t)} =u_t \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.3절 · 6번
# 편도함수증명·논술도전자동 분류
614.CLP-3 · 2.4절 · 4번대학 수준우리말 번역

열역학 교재에서는 다음 관계를 사용한다.

(∂y∂x)(∂z∂y)(∂x∂z)=−1\left(\frac{\partial y}{\partial x}\right) \left(\frac{\partial z}{\partial y}\right) \left(\frac{\partial x}{\partial z}\right)=-1

이 등식의 의미를 설명하고, 이것이 성립함을 증명하세요.

영어 원문 보기

Thermodynamics texts use the relationship

(∂y∂x)(∂z∂y)(∂x∂z)=−1\left(\frac{\partial y}{\partial x}\right) \left(\frac{\partial z}{\partial y}\right) \left(\frac{\partial x}{\partial z}\right)=-1

Explain the meaning of this equation and prove that it is true.

정답·풀이 보기

기본 가정은 세 양 xx, yy, zz 가 서로 독립이 아니라는 것이다. 이 중 어느 두 개가 주어지면 나머지 하나가 유일하게 정해진다. 이들이 관계식 F(x,y,z)=0F(x,y,z)=0 을 만족한다고 가정하면, 이 식을 풀어서

  • xx 를 yy 와 zz 의 함수로 정할 수 있고(예를 들어 x=f(y,z)x=f(y,z)), 또한
  • yy 를 xx 와 zz 의 함수로 정할 수 있고(예를 들어 y=g(x,z)y=g(x,z)), 또한
  • zz 를 xx 와 yy 의 함수로 정할 수 있다 (예를 들어 z=h(x,y)z=h(x,y)).

예를 들어 F(x,y,z)=xyz−1F(x,y,z) = xyz-1 이면

  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 으로부터 x=1yz=f(y,z)x=\frac{1}{yz}=f(y,z) 이고,
  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 으로부터 y=1xz=g(x,z)y=\frac{1}{xz}=g(x,z) 이고,
  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 으로부터 z=1xy=h(x,y)z=\frac{1}{xy}=h(x,y) 이다.

일반적으로 F(x,y,z)=0F(x,y,z)=0 이 x=f(y,z)x=f(y,z) 를 정한다는 것은

F(f(y,z),y,z)=0(∗)F\big(f(y,z),y,z\big)=0 \tag{$*$}

이 모든 yy 와 zz 에 대해 성립한다는 뜻이다. F(y,z)=F(f(y,z),y,z)\mathcal{F}(y,z)=F\big(f(y,z),y,z\big) 라 하자. F(y,z)=F(f(y,z),y,z)\mathcal{F}(y,z)=F\big(f(y,z),y,z\big) 에 (yy 와 zz 를 독립변수로 보고) 연쇄 법칙을 적용하면

∂F∂z(y,z)=∂F∂x(f(y,z),y,z)∂f∂z(y,z)+∂F∂z(f(y,z),y,z)\begin{aligned} \frac{\partial \mathcal{F}}{\partial z}(y,z) &= \frac{\partial F}{\partial x}\big(f(y,z),y,z\big) \frac{\partial f}{\partial z}(y,z) +\frac{\partial F}{\partial z}\big(f(y,z),y,z\big) \end{aligned}

이다.

등식 (∗)(*) 는 모든 yy 와 zz 에 대해 F(y,z)=F(f(y,z),y,z)=0\mathcal{F}(y,z)=F\big(f(y,z),y,z\big)=0 임을 뜻한다. 따라서 등식 (∗)(*) 를 zz 에 대해 미분하면

∂F∂z(y,z)=∂F∂x(f(y,z),y,z)∂f∂z(y,z)+∂F∂z(f(y,z),y,z)=0  ⟹  ∂f∂z(y,z)=−∂F∂z(f(y,z),y,z)∂F∂x(f(y,z),y,z)\begin{aligned} \frac{\partial \mathcal{F}}{\partial z}(y,z)&=\frac{\partial F}{\partial x}\big(f(y,z),y,z\big) \frac{\partial f}{\partial z}(y,z) +\frac{\partial F}{\partial z}\big(f(y,z),y,z\big)=0 \\ &\implies \frac{\partial f}{\partial z}(y,z) =-\frac{\frac{\partial F}{\partial z}\big(f(y,z),y,z\big)} {\frac{\partial F}{\partial x}\big(f(y,z),y,z\big)} \end{aligned}

이 모든 yy 와 zz 에 대해 성립한다. 마찬가지로 F(x,g(x,z),z)=0F\big(x,g(x,z),z\big)=0 을 xx 에 대해 미분하고 F(x,y,h(x,y))=0F\big(x,y,h(x,y)\big)=0 을 yy 에 대해 미분하면

∂g∂x(x,z)=−∂F∂x(x,g(x,z),z)∂F∂y(x,g(x,z),z)∂h∂y(x,y)=−∂F∂y(x,y,h(x,y))∂F∂z(x,y,h(x,y))\begin{aligned} \frac{\partial g}{\partial x}(x,z) =-\frac{\frac{\partial F}{\partial x}\big(x,g(x,z),z\big)} {\frac{\partial F}{\partial y}\big(x,g(x,z),z\big)}\qquad \frac{\partial h}{\partial y}(x,y) =-\frac{\frac{\partial F}{\partial y}\big(x,y,h(x,y)\big)} {\frac{\partial F}{\partial z}\big(x,y,h(x,y)\big)} \end{aligned}

를 얻는다.

(x,y,z)(x,y,z) 가 F(x,y,z)=0F(x,y,z)=0 을 만족하는 임의의 점이면 (따라서 x=f(y,z)x=f(y,z), y=g(x,z)y=g(x,z), z=h(x,y)z=h(x,y) 이다),

∂f∂z(y,z)=−∂F∂z(x,y,z)∂F∂x(x,y,z)∂g∂x(x,z)=−∂F∂x(x,y,z)∂F∂y(x,y,z)∂h∂y(x,y)=−∂F∂y(x,y,z)∂F∂z(x,y,z)\begin{aligned} \frac{\partial f}{\partial z}(y,z) =-\frac{\frac{\partial F}{\partial z}\big(x,y,z\big)} {\frac{\partial F}{\partial x}\big(x,y,z\big)}\qquad \frac{\partial g}{\partial x}(x,z) =-\frac{\frac{\partial F}{\partial x}\big(x,y,z\big)} {\frac{\partial F}{\partial y}\big(x,y,z\big)}\qquad \frac{\partial h}{\partial y}(x,y) =-\frac{\frac{\partial F}{\partial y}\big(x,y,z\big)} {\frac{\partial F}{\partial z}\big(x,y,z\big)} \end{aligned}

이고,

∂f∂z(y,z) ∂g∂x(x,z) ∂h∂y(x,y)=−∂F∂z(x,y,z)∂F∂x(x,y,z) ∂F∂x(x,y,z)∂F∂y(x,y,z) ∂F∂y(x,y,z)∂F∂z(x,y,z)=−1\begin{aligned} \frac{\partial f}{\partial z}(y,z)\ \frac{\partial g}{\partial x}(x,z)\ \frac{\partial h}{\partial y}(x,y) &=-\frac{\frac{\partial F}{\partial z}\big(x,y,z\big)} {\frac{\partial F}{\partial x}\big(x,y,z\big)}\ \frac{\frac{\partial F}{\partial x}\big(x,y,z\big)} {\frac{\partial F}{\partial y}\big(x,y,z\big)}\ \frac{\frac{\partial F}{\partial y}\big(x,y,z\big)} {\frac{\partial F}{\partial z}\big(x,y,z\big)} \\ &=-1 \end{aligned}

이다.

원본 교재 풀이(영어)

The basic assumption is that the three quantites xx, yy and zz are not independent. Given any two of them, the third is uniquely determined. They are assumed to satisfy a relationship F(x,y,z)=0F(x,y,z)=0, which can be solved to

  • determine xx as a function of yy and zz (say x=f(y,z)x=f(y,z)) and can alternatively be solved to
  • determine yy as a function of xx and zz (say y=g(x,z)y=g(x,z)) and can alternatively be solved to
  • determine zz as a function of xx and yy (say z=h(x,y)z=h(x,y)).

As an example, if F(x,y,z)=xyz−1F(x,y,z) = xyz-1, then

  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 implies that x=1yz=f(y,z)x=\frac{1}{yz}=f(y,z) and
  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 implies that y=1xz=g(x,z)y=\frac{1}{xz}=g(x,z) and
  • F(x,y,z)=xyz−1=0F(x,y,z)=xyz-1=0 implies that z=1xy=h(x,y)z=\frac{1}{xy}=h(x,y)

In general, saying that F(x,y,z)=0F(x,y,z)=0 determines x=f(y,z)x=f(y,z) means that

F(f(y,z),y,z)=0(∗)F\big(f(y,z),y,z\big)=0 \tag{$*$}

for all yy and zz. Set F(y,z)=F(f(y,z),y,z)\mathcal{F}(y,z)=F\big(f(y,z),y,z\big). Applying the chain rule to F(y,z)=F(f(y,z),y,z)\mathcal{F}(y,z)=F\big(f(y,z),y,z\big) (with yy and zz independent variables) gives

∂F∂z(y,z)=∂F∂x(f(y,z),y,z)∂f∂z(y,z)+∂F∂z(f(y,z),y,z)\begin{aligned} \frac{\partial \mathcal{F}}{\partial z}(y,z) &= \frac{\partial F}{\partial x}\big(f(y,z),y,z\big) \frac{\partial f}{\partial z}(y,z) +\frac{\partial F}{\partial z}\big(f(y,z),y,z\big) \end{aligned}

The equation (∗)(*) says that F(y,z)=F(f(y,z),y,z)=0\mathcal{F}(y,z)=F\big(f(y,z),y,z\big)=0 for all yy and zz. So differentiating the equation (∗)(*) with respect to zz gives

∂F∂z(y,z)=∂F∂x(f(y,z),y,z)∂f∂z(y,z)+∂F∂z(f(y,z),y,z)=0  ⟹  ∂f∂z(y,z)=−∂F∂z(f(y,z),y,z)∂F∂x(f(y,z),y,z)\begin{aligned} \frac{\partial \mathcal{F}}{\partial z}(y,z)&=\frac{\partial F}{\partial x}\big(f(y,z),y,z\big) \frac{\partial f}{\partial z}(y,z) +\frac{\partial F}{\partial z}\big(f(y,z),y,z\big)=0 \\ &\implies \frac{\partial f}{\partial z}(y,z) =-\frac{\frac{\partial F}{\partial z}\big(f(y,z),y,z\big)} {\frac{\partial F}{\partial x}\big(f(y,z),y,z\big)} \end{aligned}

for all yy and zz. Similarly, differentiating F(x,g(x,z),z)=0F\big(x,g(x,z),z\big)=0 with respect to xx and F(x,y,h(x,y))=0F\big(x,y,h(x,y)\big)=0 with respect to yy gives

∂g∂x(x,z)=−∂F∂x(x,g(x,z),z)∂F∂y(x,g(x,z),z)∂h∂y(x,y)=−∂F∂y(x,y,h(x,y))∂F∂z(x,y,h(x,y))\begin{aligned} \frac{\partial g}{\partial x}(x,z) =-\frac{\frac{\partial F}{\partial x}\big(x,g(x,z),z\big)} {\frac{\partial F}{\partial y}\big(x,g(x,z),z\big)}\qquad \frac{\partial h}{\partial y}(x,y) =-\frac{\frac{\partial F}{\partial y}\big(x,y,h(x,y)\big)} {\frac{\partial F}{\partial z}\big(x,y,h(x,y)\big)} \end{aligned}

If (x,y,z)(x,y,z) is any point satisfying F(x,y,z)=0F(x,y,z)=0 (so that x=f(y,z)x=f(y,z) and y=g(x,z)y=g(x,z) and z=h(x,y)z=h(x,y)), then

∂f∂z(y,z)=−∂F∂z(x,y,z)∂F∂x(x,y,z)∂g∂x(x,z)=−∂F∂x(x,y,z)∂F∂y(x,y,z)∂h∂y(x,y)=−∂F∂y(x,y,z)∂F∂z(x,y,z)\begin{aligned} \frac{\partial f}{\partial z}(y,z) =-\frac{\frac{\partial F}{\partial z}\big(x,y,z\big)} {\frac{\partial F}{\partial x}\big(x,y,z\big)}\qquad \frac{\partial g}{\partial x}(x,z) =-\frac{\frac{\partial F}{\partial x}\big(x,y,z\big)} {\frac{\partial F}{\partial y}\big(x,y,z\big)}\qquad \frac{\partial h}{\partial y}(x,y) =-\frac{\frac{\partial F}{\partial y}\big(x,y,z\big)} {\frac{\partial F}{\partial z}\big(x,y,z\big)} \end{aligned}

and

∂f∂z(y,z) ∂g∂x(x,z) ∂h∂y(x,y)=−∂F∂z(x,y,z)∂F∂x(x,y,z) ∂F∂x(x,y,z)∂F∂y(x,y,z) ∂F∂y(x,y,z)∂F∂z(x,y,z)=−1\begin{aligned} \frac{\partial f}{\partial z}(y,z)\ \frac{\partial g}{\partial x}(x,z)\ \frac{\partial h}{\partial y}(x,y) &=-\frac{\frac{\partial F}{\partial z}\big(x,y,z\big)} {\frac{\partial F}{\partial x}\big(x,y,z\big)}\ \frac{\frac{\partial F}{\partial x}\big(x,y,z\big)} {\frac{\partial F}{\partial y}\big(x,y,z\big)}\ \frac{\frac{\partial F}{\partial y}\big(x,y,z\big)} {\frac{\partial F}{\partial z}\big(x,y,z\big)} \\ &=-1 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 5번
# 다변수 연쇄법칙증명·논술기본자동 분류
615.CLP-3 · 2.4절 · 5번대학 수준우리말 번역

다음 논증에서 잘못된 점은 무엇인가요? w=f(x,y,z)w=f(x,y,z) 이고 z=g(x,y)z=g(x,y) 라고 하자. 연쇄 법칙에 의해

∂w∂x=∂w∂x∂x∂x+∂w∂y∂y∂x+∂w∂z∂z∂x=∂w∂x+∂w∂z∂z∂x\begin{aligned} \frac{\partial w}{\partial x} =\frac{\partial w}{\partial x}\frac{\partial x}{\partial x} +\frac{\partial w}{\partial y}\frac{\partial y}{\partial x} +\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} =\frac{\partial w}{\partial x} +\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} \end{aligned}

이다. 따라서 0=∂w∂z∂z∂x0=\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} 이고, 그러므로 ∂w∂z=0\frac{\partial w}{\partial z}=0 또는 ∂z∂x=0\frac{\partial z}{\partial x}=0 이다.

영어 원문 보기

What is wrong with the following argument? Suppose that w=f(x,y,z)w=f(x,y,z) and z=g(x,y)z=g(x,y). By the chain rule,

∂w∂x=∂w∂x∂x∂x+∂w∂y∂y∂x+∂w∂z∂z∂x=∂w∂x+∂w∂z∂z∂x\begin{aligned} \frac{\partial w}{\partial x} =\frac{\partial w}{\partial x}\frac{\partial x}{\partial x} +\frac{\partial w}{\partial y}\frac{\partial y}{\partial x} +\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} =\frac{\partial w}{\partial x} +\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} \end{aligned}

Hence 0=∂w∂z∂z∂x0=\frac{\partial w}{\partial z}\frac{\partial z}{\partial x} and so ∂w∂z=0\frac{\partial w}{\partial z}=0 or ∂z∂x=0\frac{\partial z}{\partial x}=0.

정답·풀이 보기

문제는 같은 등식 안에서 ∂w∂x\frac{\partial w}{\partial x} 가 서로 완전히 다른 두 함수를 나타내는 데 쓰였다는 점이다. 이 식을 정확하게 쓰는 방법은 다음과 같다. f(x,y,z)f(x,y,z) 와 g(x,y)g(x,y) 를 연속적으로 미분가능한 함수라 하고 w(x,y)=f(x,y,g(x,y))w(x,y)=f\big(x,y,g(x,y)\big) 로 정의하자. 연쇄 법칙에 의해

∂w∂x(x,y)=∂f∂x(x,y,g(x,y))∂x∂x+∂f∂y(x,y,g(x,y))∂y∂x+∂f∂z(x,y,g(x,y))∂g∂x(x,y)=∂f∂x(x,y,g(x,y))+∂f∂z(x,y,g(x,y))∂g∂x(x,y)\begin{aligned} \frac{\partial w}{\partial x}(x,y) &=\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big) \frac{\partial x}{\partial x} +\frac{\partial f}{\partial y}\big(x,y,g(x,y)\big) \frac{\partial y}{\partial x} +\frac{\partial f}{\partial z}\big(x,y,g(x,y)\big) \frac{\partial g}{\partial x}(x,y)\\ &=\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big) +\frac{\partial f}{\partial z}\big(x,y,g(x,y)\big) \frac{\partial g}{\partial x}(x,y) \end{aligned}

이다. w(x,y)=f(x,y,g(x,y))w(x,y)=f\big(x,y,g(x,y)\big) 이지만 ∂w∂x(x,y)=∂f∂x(x,y,g(x,y))\frac{\partial w}{\partial x}(x,y) =\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big) 는 성립하지 않는다. 예를 들어 f(x,y,z)=x−zf(x,y,z)=x-z 이고 g(x,y)=xg(x,y)=x 라 하자. 그러면 모든 (x,y)(x,y) 에 대해 w(x,y)=f(x,y,g(x,y))=x−g(x,y)=0w(x,y)=f\big(x,y,g(x,y)\big)=x-g(x,y)=0 이므로 ∂w∂x(x,y)=0\frac{\partial w}{\partial x}(x,y)=0 인 반면, 모든 (x,y,z)(x,y,z) 에 대해 ∂f∂x(x,y,z)=1\frac{\partial f}{\partial x}(x,y,z)=1 이다.

원본 교재 풀이(영어)

The problem is that ∂w∂x\frac{\partial w}{\partial x} is used to represent two completely different functions in the same equation. The careful way to write the equation is the following. Let f(x,y,z)f(x,y,z) and g(x,y)g(x,y) be continuously differentiable functions and define w(x,y)=f(x,y,g(x,y))w(x,y)=f\big(x,y,g(x,y)\big). By the chain rule,

∂w∂x(x,y)=∂f∂x(x,y,g(x,y))∂x∂x+∂f∂y(x,y,g(x,y))∂y∂x+∂f∂z(x,y,g(x,y))∂g∂x(x,y)=∂f∂x(x,y,g(x,y))+∂f∂z(x,y,g(x,y))∂g∂x(x,y)\begin{aligned} \frac{\partial w}{\partial x}(x,y) &=\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big) \frac{\partial x}{\partial x} +\frac{\partial f}{\partial y}\big(x,y,g(x,y)\big) \frac{\partial y}{\partial x} +\frac{\partial f}{\partial z}\big(x,y,g(x,y)\big) \frac{\partial g}{\partial x}(x,y)\\ &=\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big) +\frac{\partial f}{\partial z}\big(x,y,g(x,y)\big) \frac{\partial g}{\partial x}(x,y) \end{aligned}

While w(x,y)=f(x,y,g(x,y))w(x,y)=f\big(x,y,g(x,y)\big), it is not true that ∂w∂x(x,y)=∂f∂x(x,y,g(x,y))\frac{\partial w}{\partial x}(x,y) =\frac{\partial f}{\partial x}\big(x,y,g(x,y)\big). For example, take f(x,y,z)=x−zf(x,y,z)=x-z and g(x,y)=xg(x,y)=x. Then w(x,y)=f(x,y,g(x,y))=x−g(x,y)=0w(x,y)=f\big(x,y,g(x,y)\big)=x-g(x,y)=0 for all (x,y)(x,y), so that ∂w∂x(x,y)=0\frac{\partial w}{\partial x}(x,y)=0 while ∂f∂x(x,y,z)=1\frac{\partial f}{\partial x}(x,y,z)=1 for all (x,y,z)(x,y,z).

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 6번
# 다변수 연쇄법칙계산기본자동 분류
616.CLP-3 · 2.4절 · 6번대학 수준우리말 번역

연쇄 법칙을 이용하는 방법을 포함하여 두 가지 방법으로 ∂w∂s\frac{\partial w}{\partial s} 와 ∂w∂t\frac{\partial w}{\partial t} 의 값을 구하세요. 단, 함수 w=x2+y2+z2w=x^2+y^2+z^2 이고 x=st, y=scos⁡tx=st,\ y=s\cos t, z=ssin⁡tz=s\sin t 입니다.

영어 원문 보기

Use two methods (one using the chain rule) to evaluate ∂w∂s\frac{\partial w}{\partial s} and ∂w∂t\frac{\partial w}{\partial t} given that the function w=x2+y2+z2w=x^2+y^2+z^2, with x=st, y=scos⁡tx=st,\ y=s\cos t and z=ssin⁡tz=s\sin t.

정답·풀이 보기

방법 1: w(s,t)=x(s,t)2+y(s,t)2+z(s,t)2w(s,t)=x(s,t)^2+y(s,t)^2+z(s,t)^2 이고 x(s,t)=stx(s,t)=st, y(s,t)=scos⁡ty(s,t)=s\cos t, z(s,t)=ssin⁡tz(s,t)=s\sin t 이므로 w(s,t)w(s,t) 를 명시적으로 나타낼 수 있다:

w(s,t)=(st)2+(scos⁡t)2+(ssin⁡t)2=s2(t2+1)  ⟹  ws(s,t)=2s(t2+1)그리고wt(s,t)=s2(2t)\begin{aligned} w(s,t)&=(st)^2+(s\cos t)^2+(s\sin t)^2 =s^2(t^2+1)\\ \implies w_s(s,t)&=2s(t^2+1)\qquad\text{그리고}\qquad w_t(s,t)=s^2(2t) \end{aligned}

  • 방법 2:* 문제에서 w(s,t)=x(s,t)2+y(s,t)2+z(s,t)2w(s,t)=x(s,t)^2+y(s,t)^2+z(s,t)^2 이고 x(s,t)=stx(s,t)=st, y(s,t)=scos⁡ty(s,t)=s\cos t, z(s,t)=ssin⁡tz(s,t)=s\sin t 로 주어졌다. 즉, w(s,t)=W(x(s,t),y(s,t),z(s,t))w(s,t) = W\big(x(s,t), y(s,t), z(s,t)\big) 이며 W(x,y,z)=x2+y2+z2W(x,y,z)= x^2+y^2+z^2 이다. w(s,t)=W(x(s,t),y(s,t),z(s,t))w(s,t) = W\big(x(s,t), y(s,t), z(s,t)\big) 에 연쇄 법칙을 적용하고 ∂W∂x=2x\frac{\partial W}{\partial x}=2x, ∂W∂y=2y\frac{\partial W}{\partial y}=2y, ∂W∂z=2z\frac{\partial W}{\partial z}=2z 임을 이용하면 다음을 얻는다.

∂w∂s(s,t)=∂W∂x(x(s,t),y(s,t),z(s,t))∂x∂s(s,t)+∂W∂y(x(s,t),y(s,t),z(s,t))∂y∂s(s,t)+∂W∂z(x(s,t),y(s,t),z(s,t))∂z∂s(s,t)=2x(s,t) xs(s,t)+2y(s,t) ys(s,t)+2z(s,t) zs(s,t)=2(st) t+2(scos⁡t) cos⁡t+2(ssin⁡t) sin⁡t=2st2+2s∂w∂t(s,t)=∂W∂x(x(s,t),y(s,t),z(s,t))∂x∂t(s,t)+∂W∂y(x(s,t),y(s,t),z(s,t))∂y∂t(s,t)+∂W∂z(x(s,t),y(s,t),z(s,t))∂z∂t(s,t)=2x(s,t) xt(s,t)+2y(s,t) yt(s,t)+2z(s,t) zt(s,t)=2(st) s+2(scos⁡t) (−ssin⁡t)+2(ssin⁡t) (scos⁡t)=2s2t\begin{aligned} \frac{\partial w}{\partial s}(s,t) &= \frac{\partial W}{\partial x}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial x}{\partial s}(s,t) + \frac{\partial W}{\partial y}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial y}{\partial s}(s,t)\\& + \frac{\partial W}{\partial z}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial z}{\partial s}(s,t) \\ &=2 x(s,t)\ x_s(s,t)+2 y(s,t)\ y_s(s,t)+2 z(s,t)\ z_s(s,t) \\ &=2 (st)\ t+2 (s\cos t)\ \cos t+2 (s\sin t)\ \sin t\\ &=2 st^2+2 s\\ \frac{\partial w}{\partial t}(s,t) &= \frac{\partial W}{\partial x}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial x}{\partial t}(s,t) + \frac{\partial W}{\partial y}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial y}{\partial t}(s,t)\\& + \frac{\partial W}{\partial z}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial z}{\partial t}(s,t) \\ &=2 x(s,t)\ x_t(s,t)+2 y(s,t)\ y_t(s,t)+2 z(s,t)\ z_t(s,t)\\ &=2 (st)\ s+2 (s\cos t)\ (-s\sin t)+2 (s\sin t)\ (s\cos t)\\ &=2 s^2t \end{aligned}

원본 교재 풀이(영어)

Method 1: Since w(s,t)=x(s,t)2+y(s,t)2+z(s,t)2w(s,t)=x(s,t)^2+y(s,t)^2+z(s,t)^2 with x(s,t)=stx(s,t)=st, y(s,t)=scos⁡ty(s,t)=s\cos t and z(s,t)=ssin⁡tz(s,t)=s\sin t we can write out w(s,t)w(s,t) explicitly:

w(s,t)=(st)2+(scos⁡t)2+(ssin⁡t)2=s2(t2+1)  ⟹  ws(s,t)=2s(t2+1)andwt(s,t)=s2(2t)\begin{aligned} w(s,t)&=(st)^2+(s\cos t)^2+(s\sin t)^2 =s^2(t^2+1)\\ \implies w_s(s,t)&=2s(t^2+1)\qquad\text{and}\qquad w_t(s,t)=s^2(2t) \end{aligned}

  • Method 2:* The question specifies that w(s,t)=x(s,t)2+y(s,t)2+z(s,t)2w(s,t)=x(s,t)^2+y(s,t)^2+z(s,t)^2 with x(s,t)=stx(s,t)=st, y(s,t)=scos⁡ty(s,t)=s\cos t and z(s,t)=ssin⁡tz(s,t)=s\sin t. That is, w(s,t)=W(x(s,t),y(s,t),z(s,t))w(s,t) = W\big(x(s,t), y(s,t), z(s,t)\big) with W(x,y,z)=x2+y2+z2W(x,y,z)= x^2+y^2+z^2. Applying the chain rule to w(s,t)=W(x(s,t),y(s,t),z(s,t))w(s,t) = W\big(x(s,t), y(s,t), z(s,t)\big) and noting that ∂W∂x=2x\frac{\partial W}{\partial x}=2x, ∂W∂y=2y\frac{\partial W}{\partial y}=2y, ∂W∂z=2z\frac{\partial W}{\partial z}=2z, gives

∂w∂s(s,t)=∂W∂x(x(s,t),y(s,t),z(s,t))∂x∂s(s,t)+∂W∂y(x(s,t),y(s,t),z(s,t))∂y∂s(s,t)+∂W∂z(x(s,t),y(s,t),z(s,t))∂z∂s(s,t)=2x(s,t) xs(s,t)+2y(s,t) ys(s,t)+2z(s,t) zs(s,t)=2(st) t+2(scos⁡t) cos⁡t+2(ssin⁡t) sin⁡t=2st2+2s∂w∂t(s,t)=∂W∂x(x(s,t),y(s,t),z(s,t))∂x∂t(s,t)+∂W∂y(x(s,t),y(s,t),z(s,t))∂y∂t(s,t)+∂W∂z(x(s,t),y(s,t),z(s,t))∂z∂t(s,t)=2x(s,t) xt(s,t)+2y(s,t) yt(s,t)+2z(s,t) zt(s,t)=2(st) s+2(scos⁡t) (−ssin⁡t)+2(ssin⁡t) (scos⁡t)=2s2t\begin{aligned} \frac{\partial w}{\partial s}(s,t) &= \frac{\partial W}{\partial x}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial x}{\partial s}(s,t) + \frac{\partial W}{\partial y}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial y}{\partial s}(s,t)\\& + \frac{\partial W}{\partial z}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial z}{\partial s}(s,t) \\ &=2 x(s,t)\ x_s(s,t)+2 y(s,t)\ y_s(s,t)+2 z(s,t)\ z_s(s,t) \\ &=2 (st)\ t+2 (s\cos t)\ \cos t+2 (s\sin t)\ \sin t\\ &=2 st^2+2 s\\ \frac{\partial w}{\partial t}(s,t) &= \frac{\partial W}{\partial x}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial x}{\partial t}(s,t) + \frac{\partial W}{\partial y}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial y}{\partial t}(s,t)\\& + \frac{\partial W}{\partial z}\big(x(s,t), y(s,t), z(s,t)\big)\frac{\partial z}{\partial t}(s,t) \\ &=2 x(s,t)\ x_t(s,t)+2 y(s,t)\ y_t(s,t)+2 z(s,t)\ z_t(s,t)\\ &=2 (st)\ s+2 (s\cos t)\ (-s\sin t)+2 (s\sin t)\ (s\cos t)\\ &=2 s^2t \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 7번
# 다변수 연쇄법칙계산보통자동 분류
617.CLP-3 · 2.4절 · 7번대학 수준우리말 번역

∂3∂x∂y2f(2x+3y,xy)\frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) 의 값을 ff 의 편도함수로 나타내어 구하세요. 연쇄 법칙과, 혼합 편도함수가 서로 같음을 나타내는 클레로의 정리를 적용할 수 있도록 ff 는 매끄러운 함수라고 가정해도 됩니다.

영어 원문 보기

Evaluate ∂3∂x∂y2f(2x+3y,xy)\frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) in terms of partial derivatives of ff. You may assume that ff is a smooth function so that the Chain Rule and Clairaut's Theorem on the equality of the mixed partial derivatives apply.

정답·풀이 보기

정의에 따라

∂3∂x∂y2f(2x+3y,xy)=∂∂x[∂∂y(∂∂yf(2x+3y,xy))]\frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) =\frac{\partial }{\partial x}\left[\frac{\partial }{\partial y}\left(\frac{\partial }{\partial y}f(2x+3y,xy)\right) \right]

이다.

안쪽부터 차례로 편도함수를 계산한다. F(x,y)=f(2x+3y,xy)F(x,y)=f(2x+3y,xy) 라 하면 가장 안쪽의 편도함수는 G(x,y)=∂∂yf(2x+3y,xy)=∂∂yF(x,y)G(x,y)=\frac{\partial }{\partial y}f(2x+3y,xy)=\frac{\partial }{\partial y}F(x,y) 이다. 연쇄 법칙에 의해

G(x,y)=∂∂yF(x,y)=f1(2x+3y,xy)∂∂y(2x+3y)+f2(2x+3y,xy)∂∂y(xy)=3f1(2x+3y,xy)+xf2(2x+3y,xy)\begin{aligned} G(x,y)=\frac{\partial }{\partial y}F(x,y) &=f_1(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_2(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_1(2x+3y,xy)+xf_2(2x+3y,xy) \end{aligned}

이다.

여기서 아래첨자 11 은 두 번째 변수를 고정한 채 ff 를 첫 번째 변수에 대해 편미분한다는 뜻이고, 아래첨자 22 는 첫 번째 변수를 고정한 채 ff 를 두 번째 변수에 대해 편미분한다는 뜻이다. 다음으로 가운데 편도함수를 H(x,y)=∂∂y(∂∂yf(2x+3y,xy))H(x,y)=\frac{\partial }{\partial y}\left(\frac{\partial }{\partial y}f(2x+3y,xy)\right) 라 하면

H(x,y)=∂∂yG(x,y)=∂∂y(3f1(2x+3y,xy)+xf2(2x+3y,xy))=3∂∂y(f1(2x+3y,xy))+x∂∂y(f2(2x+3y,xy))\begin{aligned} H(x,y) &= \frac{\partial }{\partial y} G(x,y) \\ &=\frac{\partial }{\partial y}\Big(3f_1(2x+3y,xy)+xf_2(2x+3y,xy)\Big) \\ &=3\frac{\partial }{\partial y}\Big(f_1(2x+3y,xy)\Big) +x\frac{\partial }{\partial y}\Big(f_2(2x+3y,xy)\Big) \end{aligned}

이다.

연쇄 법칙을 (두 번) 쓰면

∂∂y(f1(2x+3y,xy))=f11(2x+3y,xy)∂∂y(2x+3y)+f12(2x+3y,xy)∂∂y(xy)=3f11(2x+3y,xy)+xf12(2x+3y,xy)∂∂y(f2(2x+3y,xy))=f21(2x+3y,xy)∂∂y(2x+3y)+f22(2x+3y,xy)∂∂y(xy)=3f21(2x+3y,xy)+xf22(2x+3y,xy)\begin{aligned} \frac{\partial }{\partial y}\Big(f_1(2x+3y,xy)\Big) &=f_{11}(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_{12}(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_{11}(2x+3y,xy)+xf_{12}(2x+3y,xy) \\ \frac{\partial }{\partial y}\Big(f_2(2x+3y,xy)\Big) &=f_{21}(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_{22}(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_{21}(2x+3y,xy)+xf_{22}(2x+3y,xy) \end{aligned}

이므로

H(x,y)=3(3f11(2x+3y,xy)+xf12(2x+3y,xy))+x(3f21(2x+3y,xy)+xf22(2x+3y,xy))=9f11(2x+3y,xy)+6xf12(2x+3y,xy)+x2f22(2x+3y,xy)\begin{aligned} H(x,y)&=3\Big(3f_{11}(2x+3y,xy)+xf_{12}(2x+3y,xy) \Big) \\[-0.05in] & +x\Big(3f_{21}(2x+3y,xy)+xf_{22}(2x+3y,xy)\Big) \\ &=9f_{11}(2x+3y,xy)+6xf_{12}(2x+3y,xy)+x^2f_{22}(2x+3y,xy) \end{aligned}

이다.

마지막 등호에서는 f21(2x+3y,xy)=f12(2x+3y,xy)f_{21}(2x+3y,xy)=f_{12}(2x+3y,xy) 임을 이용했다. 기호 f21f_{21} 은 먼저 두 번째 변수에 대해 미분한 다음 첫 번째 변수에 대해 미분한다는 뜻이다. 예를 들어 f(x,y)=e2ysin⁡xf(x,y)=e^{2y}\sin x 이면

f21(x,y)=∂∂x[∂∂y(e2ysin⁡x)]=∂∂x[2e2ysin⁡x]=2eycos⁡x\begin{aligned} f_{21}(x,y) =\frac{\partial }{\partial x} \Big[\frac{\partial }{\partial y}\big(e^{2y}\sin x\big)\Big] =\frac{\partial }{\partial x} \Big[2e^{2y}\sin x\Big] =2e^y\cos x \end{aligned}

이다.

마지막으로

∂3∂x∂y2f(2x+3y,xy)=∂∂xH(x,y)=∂∂x(9f11(2x+3y,xy)+6xf12(2x+3y,xy)+x2f22(2x+3y,xy))=9∂∂x(f11(2x+3y,xy))+6f12(2x+3y,xy)+6x∂∂x(f12(2x+3y,xy))+2xf22(2x+3y,xy)+x2∂∂x(f22(2x+3y,xy))\begin{aligned} \frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) &=\frac{\partial }{\partial x} H(x,y) \\ &=\frac{\partial }{\partial x}\Big(9f_{11}(2x+3y,xy)+6xf_{12}(2x+3y,xy)+x^2f_{22}(2x+3y,xy)\Big)\\ &=9\frac{\partial }{\partial x}\Big(f_{11}(2x+3y,xy)\Big)\\& +6f_{12}(2x+3y,xy) +6x\frac{\partial }{\partial x}\Big(f_{12}(2x+3y,xy)\Big) \\& +2xf_{22}(2x+3y,xy) +x^2\frac{\partial }{\partial x}\Big(f_{22}(2x+3y,xy)\Big) \end{aligned}

이다.

연쇄 법칙을 세 번 적용하면

∂3∂x∂y2f(2x+3y,xy)=9(2f111+yf112)+6f12+6x(2f121+yf122)+2xf22+x2(2f221+yf222)=6 f12+2x f22+18 f111+(9y+12x) f112+(6xy+2x2) f122+x2y f222\begin{aligned} \frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) &=9\Big(2f_{111}+yf_{112}\Big)\\& +6f_{12}+6x\Big(2f_{121}+yf_{122}\Big)\\& +2xf_{22}+x^2\Big(2f_{221}+yf_{222}\Big)\\ &=6\,f_{12}+2x\,f_{22}+18\,f_{111}+(9y+12x)\,f_{112} +(6xy+2x^2)\,f_{122}+x^2y\,f_{222} \end{aligned}

이다.

우변의 모든 함수의 인수는 (2x+3y,xy)(2x+3y,xy) 이다.

원본 교재 풀이(영어)

By definition,

∂3∂x∂y2f(2x+3y,xy)=∂∂x[∂∂y(∂∂yf(2x+3y,xy))]\frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) =\frac{\partial }{\partial x}\left[\frac{\partial }{\partial y}\left(\frac{\partial }{\partial y}f(2x+3y,xy)\right) \right]

We'll compute the derivatives from the inside out. Let's call F(x,y)=f(2x+3y,xy)F(x,y)=f(2x+3y,xy) so that the innermost derivative is G(x,y)=∂∂yf(2x+3y,xy)=∂∂yF(x,y)G(x,y)=\frac{\partial }{\partial y}f(2x+3y,xy)=\frac{\partial }{\partial y}F(x,y). By the chain rule

G(x,y)=∂∂yF(x,y)=f1(2x+3y,xy)∂∂y(2x+3y)+f2(2x+3y,xy)∂∂y(xy)=3f1(2x+3y,xy)+xf2(2x+3y,xy)\begin{aligned} G(x,y)=\frac{\partial }{\partial y}F(x,y) &=f_1(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_2(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_1(2x+3y,xy)+xf_2(2x+3y,xy) \end{aligned}

Here the subscript 11 means take the partial derivative of ff with respect to the first argument while holding the second argument fixed, and the subscript 22 means take the partial derivative of ff with respect to the second argument while holding the first argument fixed. Next call the middle derivative H(x,y)=∂∂y(∂∂yf(2x+3y,xy))H(x,y)=\frac{\partial }{\partial y}\left(\frac{\partial }{\partial y}f(2x+3y,xy)\right) so that

H(x,y)=∂∂yG(x,y)=∂∂y(3f1(2x+3y,xy)+xf2(2x+3y,xy))=3∂∂y(f1(2x+3y,xy))+x∂∂y(f2(2x+3y,xy))\begin{aligned} H(x,y) &= \frac{\partial }{\partial y} G(x,y) \\ &=\frac{\partial }{\partial y}\Big(3f_1(2x+3y,xy)+xf_2(2x+3y,xy)\Big) \\ &=3\frac{\partial }{\partial y}\Big(f_1(2x+3y,xy)\Big) +x\frac{\partial }{\partial y}\Big(f_2(2x+3y,xy)\Big) \end{aligned}

By the chain rule (twice),

∂∂y(f1(2x+3y,xy))=f11(2x+3y,xy)∂∂y(2x+3y)+f12(2x+3y,xy)∂∂y(xy)=3f11(2x+3y,xy)+xf12(2x+3y,xy)∂∂y(f2(2x+3y,xy))=f21(2x+3y,xy)∂∂y(2x+3y)+f22(2x+3y,xy)∂∂y(xy)=3f21(2x+3y,xy)+xf22(2x+3y,xy)\begin{aligned} \frac{\partial }{\partial y}\Big(f_1(2x+3y,xy)\Big) &=f_{11}(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_{12}(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_{11}(2x+3y,xy)+xf_{12}(2x+3y,xy) \\ \frac{\partial }{\partial y}\Big(f_2(2x+3y,xy)\Big) &=f_{21}(2x+3y,xy)\frac{\partial }{\partial y}(2x+3y)+f_{22}(2x+3y,xy)\frac{\partial }{\partial y}(xy) \\ &= 3f_{21}(2x+3y,xy)+xf_{22}(2x+3y,xy) \end{aligned}

so that

H(x,y)=3(3f11(2x+3y,xy)+xf12(2x+3y,xy))+x(3f21(2x+3y,xy)+xf22(2x+3y,xy))=9f11(2x+3y,xy)+6xf12(2x+3y,xy)+x2f22(2x+3y,xy)\begin{aligned} H(x,y)&=3\Big(3f_{11}(2x+3y,xy)+xf_{12}(2x+3y,xy) \Big) \\[-0.05in] & +x\Big(3f_{21}(2x+3y,xy)+xf_{22}(2x+3y,xy)\Big) \\ &=9f_{11}(2x+3y,xy)+6xf_{12}(2x+3y,xy)+x^2f_{22}(2x+3y,xy) \end{aligned}

In the last equality we used that f21(2x+3y,xy)=f12(2x+3y,xy)f_{21}(2x+3y,xy)=f_{12}(2x+3y,xy). The notation f21f_{21} means first differentiate with respect to the second argument and then differentiate with respect to the first argument. For example, if f(x,y)=e2ysin⁡xf(x,y)=e^{2y}\sin x, then

f21(x,y)=∂∂x[∂∂y(e2ysin⁡x)]=∂∂x[2e2ysin⁡x]=2eycos⁡x\begin{aligned} f_{21}(x,y) =\frac{\partial }{\partial x} \Big[\frac{\partial }{\partial y}\big(e^{2y}\sin x\big)\Big] =\frac{\partial }{\partial x} \Big[2e^{2y}\sin x\Big] =2e^y\cos x \end{aligned}

Finally, we get to

∂3∂x∂y2f(2x+3y,xy)=∂∂xH(x,y)=∂∂x(9f11(2x+3y,xy)+6xf12(2x+3y,xy)+x2f22(2x+3y,xy))=9∂∂x(f11(2x+3y,xy))+6f12(2x+3y,xy)+6x∂∂x(f12(2x+3y,xy))+2xf22(2x+3y,xy)+x2∂∂x(f22(2x+3y,xy))\begin{aligned} \frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) &=\frac{\partial }{\partial x} H(x,y) \\ &=\frac{\partial }{\partial x}\Big(9f_{11}(2x+3y,xy)+6xf_{12}(2x+3y,xy)+x^2f_{22}(2x+3y,xy)\Big)\\ &=9\frac{\partial }{\partial x}\Big(f_{11}(2x+3y,xy)\Big)\\& +6f_{12}(2x+3y,xy) +6x\frac{\partial }{\partial x}\Big(f_{12}(2x+3y,xy)\Big) \\& +2xf_{22}(2x+3y,xy) +x^2\frac{\partial }{\partial x}\Big(f_{22}(2x+3y,xy)\Big) \end{aligned}

By three applications of the chain rule

∂3∂x∂y2f(2x+3y,xy)=9(2f111+yf112)+6f12+6x(2f121+yf122)+2xf22+x2(2f221+yf222)=6 f12+2x f22+18 f111+(9y+12x) f112+(6xy+2x2) f122+x2y f222\begin{aligned} \frac{\partial^3}{\partial x\partial y^2}f(2x+3y,xy) &=9\Big(2f_{111}+yf_{112}\Big)\\& +6f_{12}+6x\Big(2f_{121}+yf_{122}\Big)\\& +2xf_{22}+x^2\Big(2f_{221}+yf_{222}\Big)\\ &=6\,f_{12}+2x\,f_{22}+18\,f_{111}+(9y+12x)\,f_{112} +(6xy+2x^2)\,f_{122}+x^2y\,f_{222} \end{aligned}

All functions on the right hand side have arguments (2x+3y,xy)(2x+3y,xy).

한 번 더 — 비슷한 문제 풀기APEX · 12.5절 · 2번
# 다변수 연쇄법칙계산보통자동 분류
618.CLP-3 · 2.4절 · 8번대학 수준우리말 번역

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t) 의 모든 이계도함수를 구하세요. f(x,y)f(x,y) 는 매끄러운 함수이므로 연쇄 법칙과 혼합 편도함수의 같음에 관한 클레로의 정리가 적용된다고 가정해도 됩니다.

영어 원문 보기

Find all second order derivatives of g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t). You may assume that f(x,y)f(x,y) is a smooth function so that the Chain Rule and Clairaut's Theorem on the equality of the mixed partial derivatives apply.

정답·풀이 보기

주어진 함수는

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t)

이다.

일계도함수는

gs(s,t)=2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t)gt(s,t)=3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t)\begin{aligned} g_s(s,t)&=2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\\ g_t(s,t)&=3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t) \end{aligned}

이다.

이계도함수는

gss(s,t)=∂∂s(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(2f11+3f12)+3(2f21+3f22)=4f11+6f12+6f21+9f22=4f11(2s+3t,3s−2t)+12f12(2s+3t,3s−2t)+9f22(2s+3t,3s−2t)gst(s,t)=∂∂t(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(3f11−2f12)+3(3f21−2f22)=6f11(2s+3t,3s−2t)+5f12(2s+3t,3s−2t)−6f22(2s+3t,3s−2t)gtt(s,t)=∂∂t(3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t))=3(3f11−2f12)−2(3f21−2f22)=9f11(2s+3t,3s−2t)−12f12(2s+3t,3s−2t)+4f22(2s+3t,3s−2t)\begin{aligned} g_{ss}(s,t) &=\frac{\partial }{\partial s}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(2f_{11}+3f_{12}\Big) +3\Big(2f_{21}+3f_{22}\Big)\\ &=4f_{11}+6f_{12}+6f_{21}+9f_{22}\\ &=4f_{11}(2s+3t,3s-2t)+12f_{12}(2s+3t,3s-2t)+9f_{22}(2s+3t,3s-2t)\\ g_{st}(s,t)&=\frac{\partial }{\partial t}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(3f_{11}-2f_{12}\Big) +3\Big(3f_{21}-2f_{22}\Big)\\ &=6f_{11}(2s+3t,3s-2t)+5f_{12}(2s+3t,3s-2t)-6f_{22}(2s+3t,3s-2t)\\ g_{tt}(s,t)&=\frac{\partial }{\partial t}\Big(3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t)\Big)\\ &=3\Big(3f_{11}-2f_{12}\Big) -2\Big(3f_{21}-2f_{22}\Big)\\ &=9f_{11}(2s+3t,3s-2t)-12f_{12}(2s+3t,3s-2t)+4f_{22}(2s+3t,3s-2t) \end{aligned}

이다.

여기서 f1f_1 은 ff 를 첫 번째 변수에 대해 편미분한 편도함수를 뜻하고, f12f_{12} 는 ff 를 먼저 첫 번째 변수에 대해 편미분한 다음 그 결과를 두 번째 변수에 대해 편미분한 것이며, 나머지도 같은 방식이다.

원본 교재 풀이(영어)

The given function is

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t)

The first order derivatives are

gs(s,t)=2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t)gt(s,t)=3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t)\begin{aligned} g_s(s,t)&=2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\\ g_t(s,t)&=3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t) \end{aligned}

The second order derivatives are

gss(s,t)=∂∂s(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(2f11+3f12)+3(2f21+3f22)=4f11+6f12+6f21+9f22=4f11(2s+3t,3s−2t)+12f12(2s+3t,3s−2t)+9f22(2s+3t,3s−2t)gst(s,t)=∂∂t(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(3f11−2f12)+3(3f21−2f22)=6f11(2s+3t,3s−2t)+5f12(2s+3t,3s−2t)−6f22(2s+3t,3s−2t)gtt(s,t)=∂∂t(3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t))=3(3f11−2f12)−2(3f21−2f22)=9f11(2s+3t,3s−2t)−12f12(2s+3t,3s−2t)+4f22(2s+3t,3s−2t)\begin{aligned} g_{ss}(s,t) &=\frac{\partial }{\partial s}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(2f_{11}+3f_{12}\Big) +3\Big(2f_{21}+3f_{22}\Big)\\ &=4f_{11}+6f_{12}+6f_{21}+9f_{22}\\ &=4f_{11}(2s+3t,3s-2t)+12f_{12}(2s+3t,3s-2t)+9f_{22}(2s+3t,3s-2t)\\ g_{st}(s,t)&=\frac{\partial }{\partial t}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(3f_{11}-2f_{12}\Big) +3\Big(3f_{21}-2f_{22}\Big)\\ &=6f_{11}(2s+3t,3s-2t)+5f_{12}(2s+3t,3s-2t)-6f_{22}(2s+3t,3s-2t)\\ g_{tt}(s,t)&=\frac{\partial }{\partial t}\Big(3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t)\Big)\\ &=3\Big(3f_{11}-2f_{12}\Big) -2\Big(3f_{21}-2f_{22}\Big)\\ &=9f_{11}(2s+3t,3s-2t)-12f_{12}(2s+3t,3s-2t)+4f_{22}(2s+3t,3s-2t) \end{aligned}

Here f1f_1 denotes the partial derivative of ff with respect to its first argument, f12f_{12} is the result of first taking one partial derivative of ff with respect to its first argument and then taking a partial derivative with respect to its second argument, and so on.

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.5절 · 39번
# 다변수 연쇄법칙활용보통자동 분류
619.CLP-3 · 2.4절 · 9번대학 수준우리말 번역

f(x,y)f(x,y) 가 라플라스 방정식 ∂2f∂x2+∂2f∂y2=0\frac{\partial^2 f}{\partial x^2}+\frac{\partial^2 f}{\partial y^2}=0 을 만족시킨다고 가정하세요. 합성함수 g(s,t)=f(s−t,s+t)g(s,t) = f (s - t, s + t) 에 대해서도 같은 식이 성립함을 보이세요. 즉, ∂2g∂s2+∂2g∂t2=0\frac{\partial^2 g}{\partial s^2}+\frac{\partial^2 g}{\partial t^2}=0 임을 보이세요. f(x,y)f(x,y) 는 매끄러운 함수여서 연쇄 법칙과 혼합 편도함수의 같음에 관한 클레로의 정리를 적용할 수 있다고 가정해도 됩니다.

영어 원문 보기

Assume that f(x,y)f(x,y) satisfies Laplace's equation ∂2f∂x2+∂2f∂y2=0\frac{\partial^2 f}{\partial x^2}+\frac{\partial^2 f}{\partial y^2}=0. Show that this is also the case for the composite function g(s,t)=f(s−t,s+t)g(s,t) = f (s - t, s + t). That is, show that ∂2g∂s2+∂2g∂t2=0\frac{\partial^2 g}{\partial s^2}+\frac{\partial^2 g}{\partial t^2}=0. You may assume that f(x,y)f(x,y) is a smooth function so that the Chain Rule and Clairaut's Theorem on the equality of the mixed partial derivatives apply.

정답·풀이 보기

연쇄 법칙에 의해,

∂g∂s(s,t)=∂∂sf(s−t,s+t)=∂f∂x(s−t , s+t)∂∂s(s−t)+∂f∂y(s−t , s+t)∂∂s(s+t)=∂f∂x(s−t , s+t)+∂f∂y(s−t , s+t)∂2g∂s2(s,t)=∂∂s[∂f∂x(s−t , s+t)]+∂∂s[∂f∂y(s−t , s+t)]=∂2f∂x2(s−t , s+t)+∂2f∂y∂x(s−t , s+t)+∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)={∂2f∂x2(s−t , s+t)+2∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)}\begin{aligned} \frac{\partial g}{\partial s}(s,t) &=\frac{\partial }{\partial s} f (s - t, s + t) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial s}\big(s-t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial s}\big(s+t\big) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big) \\ \frac{\partial^2 g}{\partial s^2}(s,t) &= \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\right] + \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\right] \\ &= \frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y\partial x}\big(s-t\,,\,s+t\big) \\ & + \frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big) \\ &=\left\{\frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) + 2\frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big)\right\} \end{aligned}

이고

∂g∂t(s,t)=∂∂tf(s−t,s+t)=∂f∂x(s−t , s+t)∂∂t(s−t)+∂f∂y(s−t , s+t)∂∂t(s+t)=−∂f∂x(s−t , s+t)+∂f∂y(s−t , s+t)∂2g∂t2(s,t)=−∂∂t[∂f∂x(s−t , s+t)]+∂∂t[∂f∂y(s−t , s+t)]=−[−∂2f∂x2(s−t , s+t)+∂2f∂y∂x(s−t , s+t)]+[−∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)]={∂2f∂x2(s−t , s+t)−2∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)}\begin{aligned} \frac{\partial g}{\partial t}(s,t)&=\frac{\partial }{\partial t} f (s - t, s + t) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial t}\big(s-t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial t}\big(s+t\big) \\ &= -\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big) \\ \frac{\partial^2 g}{\partial t^2}(s,t) &=- \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\right] + \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\right] \\ &= - \Big[-\frac{\partial^2 f}{\partial x^2} \big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y\partial x}\big(s-t\,,\,s+t\big)\Big] \\ & + \Big[-\frac{\partial^2 f}{\partial x\partial y} \big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big) \Big] \\ &=\left\{\frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) - 2\frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big)\right\} \end{aligned}

이다. 인수를 생략하면

∂2g∂s2+∂2g∂t2={∂2f∂x2+2∂2f∂x∂y+∂2f∂y2}+{∂2f∂x2−2∂2f∂x∂y+∂2f∂y2}=2[∂2f∂x2+∂2f∂y2]=0\begin{aligned} \frac{\partial^2 g}{\partial s^2} + \frac{\partial^2 g}{\partial t^2} &=\left\{\frac{\partial^2 f}{\partial x^2} + 2\frac{\partial^2 f}{\partial x\partial y} +\frac{\partial^2 f}{\partial y^2}\right\} +\left\{\frac{\partial^2 f}{\partial x^2} - 2\frac{\partial^2 f}{\partial x\partial y} +\frac{\partial^2 f}{\partial y^2}\right\} \\ &=2\left[\frac{\partial^2 f}{\partial x^2} +\frac{\partial^2 f}{\partial y^2}\right] \\ &=0 \end{aligned}

이므로 원하는 결과가 얻어진다.

원본 교재 풀이(영어)

By the chain rule,

∂g∂s(s,t)=∂∂sf(s−t,s+t)=∂f∂x(s−t , s+t)∂∂s(s−t)+∂f∂y(s−t , s+t)∂∂s(s+t)=∂f∂x(s−t , s+t)+∂f∂y(s−t , s+t)∂2g∂s2(s,t)=∂∂s[∂f∂x(s−t , s+t)]+∂∂s[∂f∂y(s−t , s+t)]=∂2f∂x2(s−t , s+t)+∂2f∂y∂x(s−t , s+t)+∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)={∂2f∂x2(s−t , s+t)+2∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)}\begin{aligned} \frac{\partial g}{\partial s}(s,t) &=\frac{\partial }{\partial s} f (s - t, s + t) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial s}\big(s-t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial s}\big(s+t\big) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big) \\ \frac{\partial^2 g}{\partial s^2}(s,t) &= \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\right] + \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\right] \\ &= \frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y\partial x}\big(s-t\,,\,s+t\big) \\ & + \frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big) \\ &=\left\{\frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) + 2\frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big)\right\} \end{aligned}

and

∂g∂t(s,t)=∂∂tf(s−t,s+t)=∂f∂x(s−t , s+t)∂∂t(s−t)+∂f∂y(s−t , s+t)∂∂t(s+t)=−∂f∂x(s−t , s+t)+∂f∂y(s−t , s+t)∂2g∂t2(s,t)=−∂∂t[∂f∂x(s−t , s+t)]+∂∂t[∂f∂y(s−t , s+t)]=−[−∂2f∂x2(s−t , s+t)+∂2f∂y∂x(s−t , s+t)]+[−∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)]={∂2f∂x2(s−t , s+t)−2∂2f∂x∂y(s−t , s+t)+∂2f∂y2(s−t , s+t)}\begin{aligned} \frac{\partial g}{\partial t}(s,t)&=\frac{\partial }{\partial t} f (s - t, s + t) \\ &= \frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial t}\big(s-t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\frac{\partial }{\partial t}\big(s+t\big) \\ &= -\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big) +\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big) \\ \frac{\partial^2 g}{\partial t^2}(s,t) &=- \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}\big(s-t\,,\,s+t\big)\right] + \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}\big(s-t\,,\,s+t\big)\right] \\ &= - \Big[-\frac{\partial^2 f}{\partial x^2} \big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y\partial x}\big(s-t\,,\,s+t\big)\Big] \\ & + \Big[-\frac{\partial^2 f}{\partial x\partial y} \big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big) \Big] \\ &=\left\{\frac{\partial^2 f}{\partial x^2}\big(s-t\,,\,s+t\big) - 2\frac{\partial^2 f}{\partial x\partial y}\big(s-t\,,\,s+t\big) +\frac{\partial^2 f}{\partial y^2}\big(s-t\,,\,s+t\big)\right\} \end{aligned}

Suppressing the arguments

∂2g∂s2+∂2g∂t2={∂2f∂x2+2∂2f∂x∂y+∂2f∂y2}+{∂2f∂x2−2∂2f∂x∂y+∂2f∂y2}=2[∂2f∂x2+∂2f∂y2]=0\begin{aligned} \frac{\partial^2 g}{\partial s^2} + \frac{\partial^2 g}{\partial t^2} &=\left\{\frac{\partial^2 f}{\partial x^2} + 2\frac{\partial^2 f}{\partial x\partial y} +\frac{\partial^2 f}{\partial y^2}\right\} +\left\{\frac{\partial^2 f}{\partial x^2} - 2\frac{\partial^2 f}{\partial x\partial y} +\frac{\partial^2 f}{\partial y^2}\right\} \\ &=2\left[\frac{\partial^2 f}{\partial x^2} +\frac{\partial^2 f}{\partial y^2}\right] \\ &=0 \end{aligned}

as desired.

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.5절 · 37번
# 다변수 연쇄법칙증명·논술보통자동 분류
620.CLP-3 · 2.4절 · 10번대학 수준우리말 번역

z=f(x,y)z = f(x,y) 이고 x=2s+tx = 2s + t, y=s−ty = s - t 라 하자. 다음 등식이 성립하도록 하는 상수 aa, bb, cc 의 값을 구하세요.

a∂2z∂x2+b∂2z∂x ∂y+c∂2z∂y2=∂2z∂s2+∂2z∂t2a\frac{\partial^2 z}{\partial x^2} +b\frac{\partial^2 z}{\partial x\,\partial y} +c\frac{\partial^2 z}{\partial y^2} =\frac{\partial^2 z}{\partial s^2} +\frac{\partial^2 z}{\partial t^2}

z=f(x,y)z = f(x,y) 는 매끄러운 함수이므로 연쇄 법칙과 혼합 편도함수의 같음에 대한 클레로의 정리를 적용할 수 있다고 가정해도 됩니다.

영어 원문 보기

Let z=f(x,y)z = f(x,y) where x=2s+tx = 2s + t and y=s−ty = s - t. Find the values of the constants aa, bb and cc such that

a∂2z∂x2+b∂2z∂x ∂y+c∂2z∂y2=∂2z∂s2+∂2z∂t2a\frac{\partial^2 z}{\partial x^2} +b\frac{\partial^2 z}{\partial x\,\partial y} +c\frac{\partial^2 z}{\partial y^2} =\frac{\partial^2 z}{\partial s^2} +\frac{\partial^2 z}{\partial t^2}

You may assume that z=f(x,y)z = f(x,y) is a smooth function so that the Chain Rule and Clairaut's Theorem on the equality of the mixed partial derivatives apply.

정답·풀이 보기

이 문제의 표기는 매우 좋지 않다. 기호 zz 가 한 등식 안에서 두 가지 다른 뜻으로 쓰였기 때문이다. 좌변에서는 xx 와 yy 의 함수이고, 우변에서는 ss 와 tt 의 함수이다. 안타깝게도 이러한 표기의 남용은 매우 흔하다. ss 와 tt 의 함수를 F(s,t)F(s,t) 로 바꾸어 표기의 충돌을 없애자. 즉,

F(s,t)=f(2s+t , s−t)F(s,t) = f\big(2s+t\,,\,s-t\big)

이 새 표기에서는 다음이 성립하도록 aa, bb, cc 를 구하면 된다.

a∂2f∂x2+b∂2f∂x∂y+c∂2f∂y2=∂2F∂s2+∂2F∂t2\begin{aligned} a\frac{\partial^2 f}{\partial x^2} +b\frac{\partial^2 f}{\partial x\partial y} +c\frac{\partial^2 f}{\partial y^2} &=\frac{\partial^2 F}{\partial s^2} + \frac{\partial^2 F}{\partial t^2} \end{aligned}

여기서 우변의 인수는 (s,t)(s,t) 이고 좌변의 인수는 (2s+t , s−t)\big(2s+t\,,\,s-t\big) 이다.

연쇄 법칙에 의해

∂F∂s(s,t)=∂f∂x(2s+t , s−t)∂∂s(2s+t)+∂f∂y(2s+t , s−t)∂∂s(s−t)=2∂f∂x(2s+t , s−t)+∂f∂y(2s+t , s−t)∂2F∂s2(s,t)=2∂∂s[∂f∂x(2s+t , s−t)]+∂∂s[∂f∂y(2s+t , s−t)]=4∂2f∂x2(2s+t , s−t)+2∂2f∂y∂x(2s+t , s−t)+2∂2f∂x∂y(2s+t , s−t)+∂2f∂y2(2s+t , s−t)\begin{aligned} \frac{\partial F}{\partial s}(s,t)&= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial s}(2s+t) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial s}(s-t) \\ &= 2\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big) \\ \frac{\partial^2 F}{\partial s^2}(s,t) &= 2\frac{\partial }{\partial s}\left[\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\right] + \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\right]\\ &= 4\frac{\partial^2 f}{\partial x^2}\big(2s+t\,,\,s-t\big) + 2\frac{\partial^2 f}{\partial y\partial x} \big(2s+t\,,\,s-t\big) \\ & + 2\frac{\partial^2 f}{\partial x\partial y} \big(2s+t\,,\,s-t\big) +\frac{\partial^2 f}{\partial y^2}\big(2s+t\,,\,s-t\big) \end{aligned}

이고

∂F∂t(s,t)=∂f∂x(2s+t , s−t)∂∂t(2s+t)+∂f∂y(2s+t , s−t)∂∂t(s−t)=∂f∂x(2s+t , s−t)−∂f∂y(2s+t , s−t)∂2F∂t2(s,t)=∂∂t[∂f∂x(2s+t , s−t)]−∂∂t[∂f∂y(2s+t , s−t)]=∂2f∂x2(2s+t , s−t)−∂2f∂y∂x(2s+t , s−t)−∂2f∂x∂y(2s+t , s−t)+∂2f∂y2(2s+t , s−t)\begin{aligned} \frac{\partial F}{\partial t}(s,t)&= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial t}(2s+t) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial t}(s-t)\\ &= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big) -\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big) \\ \frac{\partial^2 F}{\partial t^2}(s,t) &= \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\right] -\frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\right] \\ &= \frac{\partial^2 f}{\partial x^2}\big(2s+t\,,\,s-t\big) -\frac{\partial^2 f}{\partial y\partial x}\big(2s+t\,,\,s-t\big) \\ & -\frac{\partial^2 f}{\partial x\partial y} \big(2s+t\,,\,s-t\big) +\frac{\partial^2 f}{\partial y^2}\big(2s+t\,,\,s-t\big) \end{aligned}

이다. 인수를 생략하면

∂2F∂s2+∂2F∂t2=5∂2f∂x2+2∂2f∂x∂y+2∂2f∂y2\begin{aligned} \frac{\partial^2 F}{\partial s^2} + \frac{\partial^2 F}{\partial t^2} &=5\frac{\partial^2 f}{\partial x^2} +2\frac{\partial^2 f}{\partial x\partial y} +2\frac{\partial^2 f}{\partial y^2} \end{aligned}

이다. 마지막으로 문제의 (좋지 않은) 표기로 되돌리면

∂2z∂s2+∂2z∂t2=5∂2z∂x2+2∂2z∂x∂y+2∂2z∂y2\begin{aligned} \frac{\partial^2 z}{\partial s^2} + \frac{\partial^2 z}{\partial t^2} &=5\frac{\partial^2 z}{\partial x^2} +2\frac{\partial^2 z}{\partial x\partial y} +2\frac{\partial^2 z}{\partial y^2} \end{aligned}

이므로 a=5a=5 이고 b=c=2b=c=2 이다.

원본 교재 풀이(영어)

The notation in the statement of this question is horrendous — the symbol zz is used with two different meanings in one equation. On the left hand side, it is a function of xx and yy, and on the right hand side, it is a function of ss and tt. Unfortunately that abuse of notation is also very common. Let us undo the notation conflict by renaming the function of ss and tt to F(s,t)F(s,t). That is,

F(s,t)=f(2s+t , s−t)F(s,t) = f\big(2s+t\,,\,s-t\big)

In this new notation, we are being asked to find aa, bb and cc so that

a∂2f∂x2+b∂2f∂x∂y+c∂2f∂y2=∂2F∂s2+∂2F∂t2\begin{aligned} a\frac{\partial^2 f}{\partial x^2} +b\frac{\partial^2 f}{\partial x\partial y} +c\frac{\partial^2 f}{\partial y^2} &=\frac{\partial^2 F}{\partial s^2} + \frac{\partial^2 F}{\partial t^2} \end{aligned}

with the arguments on the right hand side being (s,t)(s,t) and the arguments on the left hand side being (2s+t , s−t)\big(2s+t\,,\,s-t\big).

By the chain rule,

∂F∂s(s,t)=∂f∂x(2s+t , s−t)∂∂s(2s+t)+∂f∂y(2s+t , s−t)∂∂s(s−t)=2∂f∂x(2s+t , s−t)+∂f∂y(2s+t , s−t)∂2F∂s2(s,t)=2∂∂s[∂f∂x(2s+t , s−t)]+∂∂s[∂f∂y(2s+t , s−t)]=4∂2f∂x2(2s+t , s−t)+2∂2f∂y∂x(2s+t , s−t)+2∂2f∂x∂y(2s+t , s−t)+∂2f∂y2(2s+t , s−t)\begin{aligned} \frac{\partial F}{\partial s}(s,t)&= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial s}(2s+t) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial s}(s-t) \\ &= 2\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big) \\ \frac{\partial^2 F}{\partial s^2}(s,t) &= 2\frac{\partial }{\partial s}\left[\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\right] + \frac{\partial }{\partial s}\left[\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\right]\\ &= 4\frac{\partial^2 f}{\partial x^2}\big(2s+t\,,\,s-t\big) + 2\frac{\partial^2 f}{\partial y\partial x} \big(2s+t\,,\,s-t\big) \\ & + 2\frac{\partial^2 f}{\partial x\partial y} \big(2s+t\,,\,s-t\big) +\frac{\partial^2 f}{\partial y^2}\big(2s+t\,,\,s-t\big) \end{aligned}

and

∂F∂t(s,t)=∂f∂x(2s+t , s−t)∂∂t(2s+t)+∂f∂y(2s+t , s−t)∂∂t(s−t)=∂f∂x(2s+t , s−t)−∂f∂y(2s+t , s−t)∂2F∂t2(s,t)=∂∂t[∂f∂x(2s+t , s−t)]−∂∂t[∂f∂y(2s+t , s−t)]=∂2f∂x2(2s+t , s−t)−∂2f∂y∂x(2s+t , s−t)−∂2f∂x∂y(2s+t , s−t)+∂2f∂y2(2s+t , s−t)\begin{aligned} \frac{\partial F}{\partial t}(s,t)&= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial t}(2s+t) +\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\frac{\partial }{\partial t}(s-t)\\ &= \frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big) -\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big) \\ \frac{\partial^2 F}{\partial t^2}(s,t) &= \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}\big(2s+t\,,\,s-t\big)\right] -\frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}\big(2s+t\,,\,s-t\big)\right] \\ &= \frac{\partial^2 f}{\partial x^2}\big(2s+t\,,\,s-t\big) -\frac{\partial^2 f}{\partial y\partial x}\big(2s+t\,,\,s-t\big) \\ & -\frac{\partial^2 f}{\partial x\partial y} \big(2s+t\,,\,s-t\big) +\frac{\partial^2 f}{\partial y^2}\big(2s+t\,,\,s-t\big) \end{aligned}

Suppressing the arguments

∂2F∂s2+∂2F∂t2=5∂2f∂x2+2∂2f∂x∂y+2∂2f∂y2\begin{aligned} \frac{\partial^2 F}{\partial s^2} + \frac{\partial^2 F}{\partial t^2} &=5\frac{\partial^2 f}{\partial x^2} +2\frac{\partial^2 f}{\partial x\partial y} +2\frac{\partial^2 f}{\partial y^2} \end{aligned}

Finally, translating back into the (horrendous) notation of the question

∂2z∂s2+∂2z∂t2=5∂2z∂x2+2∂2z∂x∂y+2∂2z∂y2\begin{aligned} \frac{\partial^2 z}{\partial s^2} + \frac{\partial^2 z}{\partial t^2} &=5\frac{\partial^2 z}{\partial x^2} +2\frac{\partial^2 z}{\partial x\partial y} +2\frac{\partial^2 z}{\partial y^2} \end{aligned}

so that a=5a=5 and b=c=2b=c=2.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 26번
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