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다변수 미분 전체 문제

이 단원의 모든 연습문제입니다. 소단원으로 좁혀 보려면 아래 꼬리표를 누르세요.

유형·난이도는 우리말 풀이가 붙은 문제는 선생님이 정했고, 나머지는 자동 분류라 다를 수 있어요. 난이도가 정해지지 않은 문제는 난이도로 거를 때 빠집니다.

509문제 · 22 / 26쪽

421.CLP-3 · 2.2절 · 2번대학 수준우리말 번역

당신은 기복이 있는 지형을 가로지르고 있습니다. zz축은 하늘을 향해 곧장 위쪽, 양의 xx축은 정남쪽, 양의 yy축은 정동쪽이라고 합시다. 그러면 당신 주변의 지형은 방정식 z=f(x,y)z=f(x,y) 로 나타나고, 당신은 점 (0,0,f(0,0))(0,0,f(0,0)) 에 있습니다. 함수 f(x,y)f(x,y) 는 미분가능합니다.

fy(0,0)<0f_y(0,0)<0 이라고 합시다. 당신이 정상에 있을 수 있습니까? 설명하세요.

영어 원문 보기

You are traversing an undulating landscape. Take the zz-axis to be straight up towards the sky, the positive xx-axis to be due south, and the positive yy-axis to be due east. Then the landscape near you is described by the equation z=f(x,y)z=f(x,y), with you at the point (0,0,f(0,0))(0,0,f(0,0)). The function f(x,y)f(x,y) is differentiable.

Suppose fy(0,0)<0f_y(0,0)<0. Is it possible that you are at a summit? Explain.

정답·풀이 보기

fy(0,0)<0f_y(0,0)<0 이면 yy 가 00 에서 증가할 때 f(0,y)f(0,y) 는 감소한다. 따라서 yy 가 양인 방향으로 이동하면 내리막길이 된다. 이는 계곡의 가장 낮은 지점에 있지 않다는 뜻이다. 아직 내려갈 수 있기 때문이다. 한편 fy(0,0)<0f_y(0,0)<0 이므로, yy 가 조금 작은 음수 값에서 00 을 향해 증가할 때에도 f(0,y)f(0,y) 는 감소한다. 따라서 y=0y=0 에서 음의 yy 방향으로 이동하면 높이 zz 는 증가한다. 그러므로 당신은 국소적으로 가장 높은 지점에 있지 않다. 즉 정상에 있지 않다.

원본 교재 풀이(영어)

If fy(0,0)<0f_y(0,0)<0, then f(0,y)f(0,y) decreases as yy increases from 00. Thus moving in the positive yy direction takes you downhill. This means you aren't at the lowest point in a valley, since you can still move downhill. On the other hand, as fy(0,0)<0f_y(0,0)<0, f(0,y)f(0,y) also decreases as yy increases towards 00 from slightly negative values. Thus if you move in the negative yy-direction from y=0y=0, your height zz will increase. So you are not at a locally highest point—you're not at a summit.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 3번
# 편도함수계산기본자동 분류
422.CLP-3 · 2.2절 · 3번대학 수준우리말 번역

f(x,y)={x2yx2+y2(x,y)≠(0,0) 이면0(x,y)=(0,0) 이면f(x,y)=\begin{cases}\frac{x^2y}{x^2+y^2}& \text{$(x,y)\ne (0,0)$ 이면} \\ 0 & \text{$(x,y)=(0,0)$ 이면} \end{cases}

이라고 하자. 정의로부터 직접 다음을 계산하세요.

(a) ∂f∂x(0,0)\frac{\partial f}{\partial x}(0,0) (b) ∂f∂y(0,0)\frac{\partial f}{\partial y}(0,0) (c) ddtf(t,t)∣t=0\frac{\mathrm{d}}{\mathrm{d}t} f(t,t)\Big|_{t=0}

영어 원문 보기

Let

f(x,y)={x2yx2+y2if (x,y)≠(0,0)0if (x,y)=(0,0)f(x,y)=\begin{cases}\frac{x^2y}{x^2+y^2}& \text{if $(x,y)\ne (0,0)$} \\ 0 & \text{if $(x,y)=(0,0)$} \end{cases}

Compute, directly from the definitions,

(a) ∂f∂x(0,0)\frac{\partial f}{\partial x}(0,0) (b) ∂f∂y(0,0)\frac{\partial f}{\partial y}(0,0) (c) ddtf(t,t)∣t=0\frac{\mathrm{d}}{\mathrm{d}t} f(t,t)\Big|_{t=0}

답 쓰고 채점
(a)
(b)
(c)
정답·풀이 보기

(a) 정의에 의해

∂f∂x(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0(Δx2)(0)Δx2+02−0Δx=0\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)(0)}{\Delta x^2+0^2}-0}{\Delta x} \\ &=0 \end{aligned}

(b) 정의에 의해

∂f∂y(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0(02)(Δy)02+Δy2−0Δy=0\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)}{0^2+\Delta y^2}-0}{\Delta y} \\ &=0 \end{aligned}

(c) 정의에 의해

ddtf(t,t)∣t=0=lim⁡t→0f(t,t)−f(0,0)t=lim⁡t→0(t2)(t)t2+t2−0t=lim⁡t→0t/2t=12\begin{aligned} \frac{\mathrm{d}}{\mathrm{d}t} f(t,t)\Big|_{t=0} &=\lim_{t\rightarrow 0}\frac{f(t,t)-f(0,0)}{t} \\ &=\lim_{t\rightarrow 0}\frac{\frac{(t^2)(t)}{t^2+t^2}-0}{t} \\ &=\lim_{t\rightarrow 0}\frac{t/2}{t} \\ &=\frac{1}{2} \end{aligned}

원본 교재 풀이(영어)

(a) By definition

∂f∂x(0,0)=lim⁡Δx→0f(Δx,0)−f(0,0)Δx=lim⁡Δx→0(Δx2)(0)Δx2+02−0Δx=0\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)(0)}{\Delta x^2+0^2}-0}{\Delta x} \\ &=0 \end{aligned}

(b) By definition

∂f∂y(0,0)=lim⁡Δy→0f(0,Δy)−f(0,0)Δy=lim⁡Δy→0(02)(Δy)02+Δy2−0Δy=0\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)}{0^2+\Delta y^2}-0}{\Delta y} \\ &=0 \end{aligned}

(c) By definition

ddtf(t,t)∣t=0=lim⁡t→0f(t,t)−f(0,0)t=lim⁡t→0(t2)(t)t2+t2−0t=lim⁡t→0t/2t=12\begin{aligned} \frac{\mathrm{d}}{\mathrm{d}t} f(t,t)\Big|_{t=0} &=\lim_{t\rightarrow 0}\frac{f(t,t)-f(0,0)}{t} \\ &=\lim_{t\rightarrow 0}\frac{\frac{(t^2)(t)}{t^2+t^2}-0}{t} \\ &=\lim_{t\rightarrow 0}\frac{t/2}{t} \\ &=\frac{1}{2} \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 6번
# 편도함수계산기본자동 분류
423.CLP-3 · 2.2절 · 4번대학 수준우리말 번역

다음 함수의 모든 1계 편도함수를 구하고, 주어진 점에서의 값을 구하세요.

(a) f(x,y,z)=x3y4z5(0,−1,−1)f(x,y,z)=x^3y^4z^5\qquad (0,-1,-1) (b) w(x,y,z)=ln⁡(1+exyz)(2,0,−1)w(x,y,z)=\ln\left(1+e^{xyz}\right)\qquad (2,0,-1) (c) f(x,y)=1x2+y2(−3,4)f(x,y)=\frac{1}{\sqrt{x^2+y^2}}\qquad (-3,4)

영어 원문 보기

Find all first partial derivatives of the following functions and evaluate them at the given point.

(a) f(x,y,z)=x3y4z5(0,−1,−1)f(x,y,z)=x^3y^4z^5\qquad (0,-1,-1) (b) w(x,y,z)=ln⁡(1+exyz)(2,0,−1)w(x,y,z)=\ln\left(1+e^{xyz}\right)\qquad (2,0,-1) (c) f(x,y)=1x2+y2(−3,4)f(x,y)=\frac{1}{\sqrt{x^2+y^2}}\qquad (-3,4)

정답·풀이 보기

(a)

fx(x,y,z)=3x2y4z5fx(0,−1,−1)=0fy(x,y,z)=4x3y3z5fy(0,−1,−1)=0fz(x,y,z)=5x3y4z4fz(0,−1,−1)=0\begin{aligned} f_x(x,y,z)&=3x^2y^4z^5 & f_x(0,-1,-1)&=0\\ f_y(x,y,z)&=4x^3y^3z^5 & f_y(0,-1,-1)&=0\\ f_z(x,y,z)&=5x^3y^4z^4 & f_z(0,-1,-1)&=0 \end{aligned}

(b)

wx(x,y,z)=yzexyz1+exyzwx(2,0,−1)=0wy(x,y,z)=xzexyz1+exyzwy(2,0,−1)=−1wz(x,y,z)=xyexyz1+exyzwz(2,0,−1)=0\begin{aligned} w_x(x,y,z)&=\frac{yz e^{xyz}}{1+e^{xyz}} & w_x(2,0,-1)&=0\\ w_y(x,y,z)&=\frac{xz e^{xyz}}{1+e^{xyz}} & w_y(2,0,-1)&=-1\\ w_z(x,y,z)&=\frac{xy e^{xyz}}{1+e^{xyz}} & w_z(2,0,-1)&=0 \end{aligned}

(c)

fx(x,y)=−x(x2+y2)3/2fx(−3,4)=3125fy(x,y)=−y(x2+y2)3/2fy(−3,4)=−4125\begin{aligned} f_x(x,y)&=-\frac{x}{(x^2+y^2)^{3/2}} & f_x(-3,4)&=\frac{3}{125}\\ f_y(x,y)&=-\frac{y}{(x^2+y^2)^{3/2}} & f_y(-3,4)&=-\frac{4}{125} \end{aligned}

원본 교재 풀이(영어)

(a)

fx(x,y,z)=3x2y4z5fx(0,−1,−1)=0fy(x,y,z)=4x3y3z5fy(0,−1,−1)=0fz(x,y,z)=5x3y4z4fz(0,−1,−1)=0\begin{aligned} f_x(x,y,z)&=3x^2y^4z^5 & f_x(0,-1,-1)&=0\\ f_y(x,y,z)&=4x^3y^3z^5 & f_y(0,-1,-1)&=0\\ f_z(x,y,z)&=5x^3y^4z^4 & f_z(0,-1,-1)&=0 \end{aligned}

(b)

wx(x,y,z)=yzexyz1+exyzwx(2,0,−1)=0wy(x,y,z)=xzexyz1+exyzwy(2,0,−1)=−1wz(x,y,z)=xyexyz1+exyzwz(2,0,−1)=0\begin{aligned} w_x(x,y,z)&=\frac{yz e^{xyz}}{1+e^{xyz}} & w_x(2,0,-1)&=0\\ w_y(x,y,z)&=\frac{xz e^{xyz}}{1+e^{xyz}} & w_y(2,0,-1)&=-1\\ w_z(x,y,z)&=\frac{xy e^{xyz}}{1+e^{xyz}} & w_z(2,0,-1)&=0 \end{aligned}

(c)

fx(x,y)=−x(x2+y2)3/2fx(−3,4)=3125fy(x,y)=−y(x2+y2)3/2fy(−3,4)=−4125\begin{aligned} f_x(x,y)&=-\frac{x}{(x^2+y^2)^{3/2}} & f_x(-3,4)&=\frac{3}{125}\\ f_y(x,y)&=-\frac{y}{(x^2+y^2)^{3/2}} & f_y(-3,4)&=-\frac{4}{125} \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 5번
# 편도함수계산보통자동 분류
424.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
425.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
426.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
427.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
428.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
429.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
430.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
431.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
432.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
433.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
434.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
435.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
436.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
# 다변수 연쇄법칙계산보통자동 분류
437.CLP-3 · 2.4절 · 11번대학 수준우리말 번역

FF 를 R2\mathbb{R}^2 위의 함수라 하자. R2\mathbb{R}^2 의 점을 (u,v)(u, v) 로 나타내고, FF 의 대응하는 편도함수를 Fu(u,v)F_u(u, v), Fv(u,v)F_v (u, v), Fuu(u,v)F_{uu}(u, v), Fuv(u,v)F_{uv}(u, v) 등으로 나타낸다. 이 편도함수들이 모두 연속이라고 가정한다.

∂2∂x ∂yF(x2−y2,2xy)\begin{aligned} \frac{\partial^2}{\partial x\, \partial y} F(x^2 - y^2 , 2xy) \end{aligned}

를 함수 FF 의 편도함수를 사용하여 나타내세요.

영어 원문 보기

Let FF be a function on R2\mathbb{R}^2. Denote points in R2\mathbb{R}^2 by (u,v)(u, v) and the corresponding partial derivatives of FF by Fu(u,v)F_u(u, v), Fv(u,v)F_v (u, v), Fuu(u,v)F_{uu}(u, v), Fuv(u,v)F_{uv}(u, v), etc.. Assume those derivatives are all continuous. Express

∂2∂x ∂yF(x2−y2,2xy)\begin{aligned} \frac{\partial^2}{\partial x\, \partial y} F(x^2 - y^2 , 2xy) \end{aligned}

in terms of partial derivatives of the function FF.

정답·풀이 보기

u(x,y)=x2−y2u(x,y) = x^2 - y^2, v(x,y)=2xyv(x,y) = 2xy 라 하자. 그러면 F(x2−y2,2xy)=F(u(x,y),v(x,y))F(x^2 - y^2 , 2xy) =F\big(u(x,y),v(x,y)\big) 이다. 연쇄 법칙에 의해

∂∂yF(x2−y2,2xy)=∂∂yF(u(x,y),v(xy))=Fu(u(x,y),v(xy))∂u∂y(x,y)+Fv(u(x,y),v(xy))∂v∂y(x,y)=Fu(x2−y2,2xy) (−2y)+Fv(x2−y2,2xy) (2x)∂2∂x ∂yF(x2−y2,2xy)=∂∂x{−2yFu(x2−y2,2xy)+2xFv(x2−y2,2xy)}=−2y∂∂x[Fu(x2−y2,2xy)]+2Fv(x2−y2,2xy)+2x∂∂x[Fv(x2−y2,2xy)]=−4xy Fuu(x2−y2,2xy)−4y2Fuv(x2−y2,2xy)+2Fv(x2−y2,2xy)+4x2Fvu(x2−y2,2xy)+4xy Fvv(x2−y2,2xy)=2 Fv(x2−y2,2xy)−4xy Fuu(x2−y2,2xy)+4(x2−y2) Fuv(x2−y2,2xy)+4xy Fvv(x2−y2,2xy)\begin{aligned} \frac{\partial }{\partial y}F(x^2 - y^2 , 2xy) &=\frac{\partial }{\partial y}F(u(x,y) , v(xy)) \\ &=F_u(u(x,y) , v(xy))\frac{\partial u}{\partial y}(x,y) + F_v(u(x,y) , v(xy))\frac{\partial v}{\partial y}(x,y) \\ &= F_u(x^2 - y^2 , 2xy)\ (-2y) + F_v(x^2 - y^2 , 2xy)\, (2x) \\ \frac{\partial^2}{\partial x\, \partial y} F(x^2 - y^2 , 2xy) &=\frac{\partial }{\partial x}\left\{-2y F_u(x^2 - y^2 , 2xy) + 2x F_v(x^2 - y^2 , 2xy) \right\} \\ &= -2y\frac{\partial }{\partial x}\left[ F_u(x^2 - y^2 , 2xy)\right] +2 F_v(x^2 - y^2 , 2xy) \\& + 2x \frac{\partial }{\partial x}\left[F_v(x^2 - y^2 , 2xy)\right] \\ &= -4xy\,F_{uu}(x^2 - y^2 , 2xy) -4y^2 F_{uv}(x^2 - y^2 , 2xy) +2 F_v(x^2 - y^2 , 2xy) \\& + 4x^2 F_{vu}(x^2 - y^2 , 2xy) +4xy\,F_{vv}(x^2 - y^2 , 2xy) \\ &= 2 \, F_v(x^2 - y^2 , 2xy) -4xy\, F_{uu}(x^2 - y^2 , 2xy) \\& +4(x^2-y^2)\, F_{uv}(x^2 - y^2 , 2xy) \\& +4xy\, F_{vv}(x^2 - y^2 , 2xy) \end{aligned}

원본 교재 풀이(영어)

Let u(x,y)=x2−y2u(x,y) = x^2 - y^2 , and v(x,y)=2xyv(x,y) = 2xy. Then F(x2−y2,2xy)=F(u(x,y),v(x,y))F(x^2 - y^2 , 2xy) =F\big(u(x,y),v(x,y)\big). By the chain rule

∂∂yF(x2−y2,2xy)=∂∂yF(u(x,y),v(xy))=Fu(u(x,y),v(xy))∂u∂y(x,y)+Fv(u(x,y),v(xy))∂v∂y(x,y)=Fu(x2−y2,2xy) (−2y)+Fv(x2−y2,2xy) (2x)∂2∂x ∂yF(x2−y2,2xy)=∂∂x{−2yFu(x2−y2,2xy)+2xFv(x2−y2,2xy)}=−2y∂∂x[Fu(x2−y2,2xy)]+2Fv(x2−y2,2xy)+2x∂∂x[Fv(x2−y2,2xy)]=−4xy Fuu(x2−y2,2xy)−4y2Fuv(x2−y2,2xy)+2Fv(x2−y2,2xy)+4x2Fvu(x2−y2,2xy)+4xy Fvv(x2−y2,2xy)=2 Fv(x2−y2,2xy)−4xy Fuu(x2−y2,2xy)+4(x2−y2) Fuv(x2−y2,2xy)+4xy Fvv(x2−y2,2xy)\begin{aligned} \frac{\partial }{\partial y}F(x^2 - y^2 , 2xy) &=\frac{\partial }{\partial y}F(u(x,y) , v(xy)) \\ &=F_u(u(x,y) , v(xy))\frac{\partial u}{\partial y}(x,y) + F_v(u(x,y) , v(xy))\frac{\partial v}{\partial y}(x,y) \\ &= F_u(x^2 - y^2 , 2xy)\ (-2y) + F_v(x^2 - y^2 , 2xy)\, (2x) \\ \frac{\partial^2}{\partial x\, \partial y} F(x^2 - y^2 , 2xy) &=\frac{\partial }{\partial x}\left\{-2y F_u(x^2 - y^2 , 2xy) + 2x F_v(x^2 - y^2 , 2xy) \right\} \\ &= -2y\frac{\partial }{\partial x}\left[ F_u(x^2 - y^2 , 2xy)\right] +2 F_v(x^2 - y^2 , 2xy) \\& + 2x \frac{\partial }{\partial x}\left[F_v(x^2 - y^2 , 2xy)\right] \\ &= -4xy\,F_{uu}(x^2 - y^2 , 2xy) -4y^2 F_{uv}(x^2 - y^2 , 2xy) +2 F_v(x^2 - y^2 , 2xy) \\& + 4x^2 F_{vu}(x^2 - y^2 , 2xy) +4xy\,F_{vv}(x^2 - y^2 , 2xy) \\ &= 2 \, F_v(x^2 - y^2 , 2xy) -4xy\, F_{uu}(x^2 - y^2 , 2xy) \\& +4(x^2-y^2)\, F_{uv}(x^2 - y^2 , 2xy) \\& +4xy\, F_{vv}(x^2 - y^2 , 2xy) \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 10번
# 다변수 연쇄법칙계산보통자동 분류
438.CLP-3 · 2.4절 · 13번대학 수준우리말 번역

f(x)f(x) 와 g(x)g(x) 가 xx 에 대한 두 함수이고 f′′(7)=−2f''(7) = -2 이고 g′′(−4)=−1g''(-4) = -1 을 만족시킨다고 하자. z=h(s,t)=f(2s+3t)+g(s−6t)z = h(s,t) = f(2s + 3t) + g(s - 6t) 가 ss 와 tt 에 대한 함수일 때, s=2s = 2 이고 t=1t = 1 일 때 ∂2z∂t2\frac{\partial^2 z}{\partial t^2} 의 값을 구하세요.

영어 원문 보기

Let f(x)f(x) and g(x)g(x) be two functions of xx satisfying f′′(7)=−2f''(7) = -2 and g′′(−4)=−1g''(-4) = -1. If z=h(s,t)=f(2s+3t)+g(s−6t)z = h(s,t) = f(2s + 3t) + g(s - 6t) is a function of ss and tt, find the value of ∂2z∂t2\frac{\partial^2 z}{\partial t^2} when s=2s = 2 and t=1t = 1.

답 쓰고 채점
정답·풀이 보기

연쇄 법칙에 의해

∂h∂t(s,t)=∂∂t[f(2s+3t)]+∂∂t[g(s−6t)]=f′(2s+3t)∂∂t(2s+3t)+g(s−6t)∂∂t(s−6t)=3f′(2s+3t)−6g′(s−6t)∂2h∂t2(s,t)=3∂∂t[f′(2s+3t)]−6∂∂t[g′(s−6t)]=3 f′′(2s+3t)∂∂t(2s+3t)−6 g′′(s−6t)∂∂t(s−6t)=9f′′(2s+3t)+36g′′(s−6t)\begin{aligned} \frac{\partial h}{\partial t}(s,t) &=\frac{\partial }{\partial t}\big[f(2s + 3t)\big] + \frac{\partial }{\partial t}\big[g(s - 6t)\big] \\ &=f'(2s + 3t)\frac{\partial }{\partial t}(2s+3t) + g(s - 6t)\frac{\partial }{\partial t}(s-6t) \\ &= 3f'(2s + 3t) - 6g'(s - 6t) \\ \frac{\partial^2 h}{\partial t^2}(s,t) &= 3\frac{\partial }{\partial t}\big[f'(2s + 3t)\big] - 6\frac{\partial }{\partial t}\big[ g'(s - 6t) \big] \\ &= 3\,f''(2s + 3t)\frac{\partial }{\partial t}(2s+3t) - 6\,g''(s - 6t) \frac{\partial }{\partial t}(s-6t) \\ &= 9f''(2s+3t) + 36g''(s-6t) \end{aligned}

특히

∂2h∂t2(2,1)=9f′′(7)+36g′′(−4)=9(−2)+36(−1)=−54\begin{aligned} \frac{\partial^2 h}{\partial t^2}(2,1) =9f''(7) +36g''(-4) =9(-2) +36(-1) =-54 \end{aligned}

이다.

원본 교재 풀이(영어)

By the chain rule,

∂h∂t(s,t)=∂∂t[f(2s+3t)]+∂∂t[g(s−6t)]=f′(2s+3t)∂∂t(2s+3t)+g(s−6t)∂∂t(s−6t)=3f′(2s+3t)−6g′(s−6t)∂2h∂t2(s,t)=3∂∂t[f′(2s+3t)]−6∂∂t[g′(s−6t)]=3 f′′(2s+3t)∂∂t(2s+3t)−6 g′′(s−6t)∂∂t(s−6t)=9f′′(2s+3t)+36g′′(s−6t)\begin{aligned} \frac{\partial h}{\partial t}(s,t) &=\frac{\partial }{\partial t}\big[f(2s + 3t)\big] + \frac{\partial }{\partial t}\big[g(s - 6t)\big] \\ &=f'(2s + 3t)\frac{\partial }{\partial t}(2s+3t) + g(s - 6t)\frac{\partial }{\partial t}(s-6t) \\ &= 3f'(2s + 3t) - 6g'(s - 6t) \\ \frac{\partial^2 h}{\partial t^2}(s,t) &= 3\frac{\partial }{\partial t}\big[f'(2s + 3t)\big] - 6\frac{\partial }{\partial t}\big[ g'(s - 6t) \big] \\ &= 3\,f''(2s + 3t)\frac{\partial }{\partial t}(2s+3t) - 6\,g''(s - 6t) \frac{\partial }{\partial t}(s-6t) \\ &= 9f''(2s+3t) + 36g''(s-6t) \end{aligned}

In particular

∂2h∂t2(2,1)=9f′′(7)+36g′′(−4)=9(−2)+36(−1)=−54\begin{aligned} \frac{\partial^2 h}{\partial t^2}(2,1) =9f''(7) +36g''(-4) =9(-2) +36(-1) =-54 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 12번
# 다변수 연쇄법칙계산보통자동 분류
439.CLP-3 · 2.4절 · 17번대학 수준우리말 번역

함수 F(x,y,z)F(x,y,z) 가 등식 ∂F∂z=∂2F∂x2+∂2F∂y2\frac{\partial F}{\partial z} = \frac{\partial^2 F}{\partial x^2} + \frac{\partial^2 F}{\partial y^2} 을 만족시키고, 혼합 편도함수 ∂2F∂x∂y\frac{\partial^2 F}{\partial x \partial y} 와 ∂2F∂y∂x\frac{\partial^2 F}{\partial y \partial x} 가 서로 같다고 하자. AA 를 어떤 상수라 하고 G(γ,s,t)=F(γ+s,γ−s,At)G(\gamma, s, t) = F (\gamma + s, \gamma-s, At) 라 하자. ∂G∂t=∂2G∂γ2+∂2G∂s2\frac{\partial G}{\partial t} = \frac{\partial^2 G}{\partial \gamma^2} + \frac{\partial^2 G}{\partial s^2} 이 되도록 하는 AA 의 값을 구하세요.

영어 원문 보기

Assume that the function F(x,y,z)F(x,y,z) satisfies the equation ∂F∂z=∂2F∂x2+∂2F∂y2\frac{\partial F}{\partial z} = \frac{\partial^2 F}{\partial x^2} + \frac{\partial^2 F}{\partial y^2} and the mixed partial derivatives ∂2F∂x∂y\frac{\partial^2 F}{\partial x \partial y} and ∂2F∂y∂x\frac{\partial^2 F}{\partial y \partial x} are equal. Let AA be some constant and let G(γ,s,t)=F(γ+s,γ−s,At)G(\gamma, s, t) = F (\gamma + s, \gamma-s, At). Find the value of AA such that ∂G∂t=∂2G∂γ2+∂2G∂s2\frac{\partial G}{\partial t} = \frac{\partial^2 G}{\partial \gamma^2} + \frac{\partial^2 G}{\partial s^2}.

답 쓰고 채점
정답·풀이 보기

연쇄 법칙에 의해

∂G∂t(γ,s,t)=∂∂t[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂t(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂t(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂t(At)=A ∂F∂z(γ+s,γ−s,At)\begin{aligned} \frac{\partial G}{\partial t}(\gamma ,s,t) &= \frac{\partial }{\partial t} \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial t}(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial t}(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial t}(At) \\ &= A\,\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At) \end{aligned}

이고

∂G∂γ(γ,s,t)=∂∂γ[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂γ(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂γ(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂γ(At)=∂F∂x(γ+s,γ−s,At)+∂F∂y(γ+s,γ−s,At)(E1)\begin{aligned} \frac{\partial G}{\partial \gamma }(\gamma ,s,t) &= \frac{\partial }{\partial \gamma } \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial \gamma }(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial \gamma }(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial \gamma }(At) \\ &= \frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \tag{E1} \end{aligned}

이고

∂G∂s(γ,s,t)=∂∂s[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂s(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂s(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂s(At)=∂F∂x(γ+s,γ−s,At)−∂F∂y(γ+s,γ−s,At)(E2)\begin{aligned} \frac{\partial G}{\partial s}(\gamma ,s,t) &= \frac{\partial }{\partial s} \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial s}(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial s}(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial s}(At) \\ &= \frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) -\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \tag{E2} \end{aligned}

이다.

다음 식의 우변에 있는 네 항에 연쇄 법칙을 적용하면 이계도함수를 구할 수 있다.

∂2G∂γ2(γ,s,t)=∂∂γ[∂G∂γ(γ,s,t)]=∂∂γ[∂F∂x(γ+s,γ−s,At)]+∂∂γ[∂F∂y(γ+s,γ−s,At)]∂2G∂s2(γ,s,t)=∂∂s[∂G∂s(γ,s,t)]=∂∂s[∂F∂x(γ+s,γ−s,At)]−∂∂s[∂F∂y(γ+s,γ−s,At)]\begin{aligned} \frac{\partial^2G}{\partial\gamma ^2}(\gamma ,s,t) &=\frac{\partial }{\partial \gamma }\Big[\frac{\partial G}{\partial \gamma }(\gamma , s, t)\Big] = \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] + \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] \\ \frac{\partial^2G}{\partial s^2}(\gamma ,s,t) &=\frac{\partial }{\partial s}\Big[\frac{\partial G}{\partial s}(\gamma , s, t)\Big] = \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] - \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] \end{aligned}

다른 방법으로, (E1)과 (E2)에서 FF 를 ∂F∂x\frac{\partial F}{\partial x} 로 바꾸면 다음을 얻는다.

∂∂γ[∂F∂x(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)+∂2F∂y∂x(γ+s,γ−s,At)∂∂s[∂F∂x(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)−∂2F∂y∂x(γ+s,γ−s,At)\begin{aligned} \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) \Big] &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \end{aligned}

(E1)과 (E2)에서 FF 를 ∂F∂y\frac{\partial F}{\partial y} 로 바꾸면 다음을 얻는다.

∂∂γ[∂F∂y(γ+s,γ−s,At)]=∂2F∂x∂y(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)∂∂s[∂F∂y(γ+s,γ−s,At)]=∂2F∂x∂y(γ+s,γ−s,At)−∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s,At)\Big] &= \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s,At) \\ \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] &= \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

따라서

∂2G∂γ2(γ,s,t)=∂2F∂x2(γ+s,γ−s,At)+∂2F∂y∂x(γ+s,γ−s,At)=+∂2F∂x∂y(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)=∂2F∂x2(γ+s,γ−s,At)+2∂2F∂y∂x(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial^2G}{\partial\gamma ^2}(\gamma ,s,t) &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ &\phantom{=}+ \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \\ &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +2\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

이고

∂2G∂s2(γ,s,t)=∂2F∂x2(γ+s,γ−s,At)−∂2F∂y∂x(γ+s,γ−s,At)=−[∂2F∂x∂y(γ+s,γ−s,At)−∂2F∂y2(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)−2∂2F∂y∂x(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial^2G}{\partial s^2}(\gamma ,s,t) &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ &\phantom{=}-\Big[ \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At)\Big] \\ &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -2\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

이다.

그러므로 변수를 생략하고 나타내면,

∂2G∂γ2+∂2G∂s2−∂G∂t=2∂2F∂x2+2∂2F∂y2−A∂F∂z=2∂F∂z−A∂F∂z=0\begin{aligned} \frac{\partial^2 G}{\partial \gamma^2} + \frac{\partial^2 G}{\partial s^2} -\frac{\partial G}{\partial t} &=2\frac{\partial^2 F}{\partial x^2} + 2\frac{\partial^2 F}{\partial y^2} -A \frac{\partial F}{\partial z} =2\frac{\partial F}{\partial z}-A \frac{\partial F}{\partial z} =0 \end{aligned}

이다. 이는 A=2A=2 이면 성립한다.

원본 교재 풀이(영어)

By the chain rule

∂G∂t(γ,s,t)=∂∂t[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂t(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂t(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂t(At)=A ∂F∂z(γ+s,γ−s,At)\begin{aligned} \frac{\partial G}{\partial t}(\gamma ,s,t) &= \frac{\partial }{\partial t} \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial t}(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial t}(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial t}(At) \\ &= A\,\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At) \end{aligned}

and

∂G∂γ(γ,s,t)=∂∂γ[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂γ(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂γ(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂γ(At)=∂F∂x(γ+s,γ−s,At)+∂F∂y(γ+s,γ−s,At)(E1)\begin{aligned} \frac{\partial G}{\partial \gamma }(\gamma ,s,t) &= \frac{\partial }{\partial \gamma } \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial \gamma }(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial \gamma }(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial \gamma }(At) \\ &= \frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \tag{E1} \end{aligned}

and

∂G∂s(γ,s,t)=∂∂s[F(γ+s,γ−s,At)]=∂F∂x(γ+s,γ−s,At) ∂∂s(γ+s)+∂F∂y(γ+s,γ−s,At) ∂∂s(γ−s)+∂F∂z(γ+s,γ−s,At) ∂∂s(At)=∂F∂x(γ+s,γ−s,At)−∂F∂y(γ+s,γ−s,At)(E2)\begin{aligned} \frac{\partial G}{\partial s}(\gamma ,s,t) &= \frac{\partial }{\partial s} \Big[F (\gamma + s, \gamma-s, At)\Big] \\ &=\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial s}(\gamma + s) +\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At)\, \frac{\partial }{\partial s}(\gamma - s) \\& +\frac{\partial F}{\partial z}(\gamma + s, \gamma-s, At)\,\frac{\partial }{\partial s}(At) \\ &= \frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) -\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \tag{E2} \end{aligned}

We can evaluate the second derivatives by applying the chain rule to the four terms on the right hand sides of

∂2G∂γ2(γ,s,t)=∂∂γ[∂G∂γ(γ,s,t)]=∂∂γ[∂F∂x(γ+s,γ−s,At)]+∂∂γ[∂F∂y(γ+s,γ−s,At)]∂2G∂s2(γ,s,t)=∂∂s[∂G∂s(γ,s,t)]=∂∂s[∂F∂x(γ+s,γ−s,At)]−∂∂s[∂F∂y(γ+s,γ−s,At)]\begin{aligned} \frac{\partial^2G}{\partial\gamma ^2}(\gamma ,s,t) &=\frac{\partial }{\partial \gamma }\Big[\frac{\partial G}{\partial \gamma }(\gamma , s, t)\Big] = \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] + \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] \\ \frac{\partial^2G}{\partial s^2}(\gamma ,s,t) &=\frac{\partial }{\partial s}\Big[\frac{\partial G}{\partial s}(\gamma , s, t)\Big] = \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] - \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] \end{aligned}

Alternatively, we can observe that replacing FF by ∂F∂x\frac{\partial F}{\partial x} in (E1) and (E2) gives

∂∂γ[∂F∂x(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)+∂2F∂y∂x(γ+s,γ−s,At)∂∂s[∂F∂x(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)−∂2F∂y∂x(γ+s,γ−s,At)\begin{aligned} \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At)\Big] &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial x}(\gamma + s, \gamma-s, At) \Big] &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \end{aligned}

replacing FF by ∂F∂y\frac{\partial F}{\partial y} in (E1) and (E2) gives

∂∂γ[∂F∂y(γ+s,γ−s,At)]=∂2F∂x∂y(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)∂∂s[∂F∂y(γ+s,γ−s,At)]=∂2F∂x∂y(γ+s,γ−s,At)−∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial }{\partial \gamma }\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s,At)\Big] &= \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s,At) \\ \frac{\partial }{\partial s}\Big[\frac{\partial F}{\partial y}(\gamma + s, \gamma-s, At) \Big] &= \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

Consequently

∂2G∂γ2(γ,s,t)=∂2F∂x2(γ+s,γ−s,At)+∂2F∂y∂x(γ+s,γ−s,At)=+∂2F∂x∂y(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)=∂2F∂x2(γ+s,γ−s,At)+2∂2F∂y∂x(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial^2G}{\partial\gamma ^2}(\gamma ,s,t) &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ &\phantom{=}+ \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \\ &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) +2\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

and

∂2G∂s2(γ,s,t)=∂2F∂x2(γ+s,γ−s,At)−∂2F∂y∂x(γ+s,γ−s,At)=−[∂2F∂x∂y(γ+s,γ−s,At)−∂2F∂y2(γ+s,γ−s,At)]=∂2F∂x2(γ+s,γ−s,At)−2∂2F∂y∂x(γ+s,γ−s,At)+∂2F∂y2(γ+s,γ−s,At)\begin{aligned} \frac{\partial^2G}{\partial s^2}(\gamma ,s,t) &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) \\ &\phantom{=}-\Big[ \frac{\partial^2 F}{\partial x\partial y}(\gamma + s, \gamma-s, At) -\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At)\Big] \\ &= \frac{\partial^2 F}{\partial x^2}(\gamma + s, \gamma-s, At) -2\frac{\partial^2 F}{\partial y\partial x}(\gamma + s, \gamma-s, At) +\frac{\partial^2 F}{\partial y^2}(\gamma + s, \gamma-s, At) \end{aligned}

So, suppressing the arguments,

∂2G∂γ2+∂2G∂s2−∂G∂t=2∂2F∂x2+2∂2F∂y2−A∂F∂z=2∂F∂z−A∂F∂z=0\begin{aligned} \frac{\partial^2 G}{\partial \gamma^2} + \frac{\partial^2 G}{\partial s^2} -\frac{\partial G}{\partial t} &=2\frac{\partial^2 F}{\partial x^2} + 2\frac{\partial^2 F}{\partial y^2} -A \frac{\partial F}{\partial z} =2\frac{\partial F}{\partial z}-A \frac{\partial F}{\partial z} =0 \end{aligned}

if A=2A=2.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 16번
# 다변수 연쇄법칙계산보통자동 분류
440.CLP-3 · 2.4절 · 18번대학 수준우리말 번역

f(x)f(x) 를 미분가능한 함수라 하고, f′(0)=10f'(0) = 10 이 주어졌다고 하자. g(s,t)=f(as−bt)g(s,t) = f (as - bt) 라 하자. 여기서 aa 와 bb 는 상수이다. 점 (s,t)=(b,a)(s,t) = (b,a) 에서 ∂g∂s\frac{\partial g}{\partial s} 의 값을 구하세요. 즉, ∂g∂s∣(b,a)\frac{\partial g}{\partial s}\big|_{(b,a)} 를 구하세요.

영어 원문 보기

Let f(x)f(x) be a differentiable function, and suppose it is given that f′(0)=10f'(0) = 10. Let g(s,t)=f(as−bt)g(s,t) = f (as - bt), where aa and bb are constants. Evaluate ∂g∂s\frac{\partial g}{\partial s} at the point (s,t)=(b,a)(s,t) = (b,a), that is, find ∂g∂s∣(b,a)\frac{\partial g}{\partial s}\big|_{(b,a)}.

답 쓰고 채점
정답·풀이 보기

연쇄 법칙에 의해

∂g∂s(s,t)=∂∂s[f(as−bt)]=f′(as−bt)∂∂s(as−bt)=af′(as−bt)\begin{aligned} \frac{\partial g}{\partial s}(s,t) = \frac{\partial }{\partial s}\big[f(as-bt)\big] =f'(as-bt)\frac{\partial }{\partial s}(as-bt) = af'(as-bt) \end{aligned}

특히

∂g∂s(b,a)=af′(ab−ba)=af′(0)=10a\begin{aligned} \frac{\partial g}{\partial s}(b,a) = af'(ab-ba) =af'(0) =10 a \end{aligned}

원본 교재 풀이(영어)

By the chain rule

∂g∂s(s,t)=∂∂s[f(as−bt)]=f′(as−bt)∂∂s(as−bt)=af′(as−bt)\begin{aligned} \frac{\partial g}{\partial s}(s,t) = \frac{\partial }{\partial s}\big[f(as-bt)\big] =f'(as-bt)\frac{\partial }{\partial s}(as-bt) = af'(as-bt) \end{aligned}

In particular

∂g∂s(b,a)=af′(ab−ba)=af′(0)=10a\begin{aligned} \frac{\partial g}{\partial s}(b,a) = af'(ab-ba) =af'(0) =10 a \end{aligned}

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.5절 · 23번
# 다변수 연쇄법칙계산보통자동 분류