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12문제 · 1 / 1쪽

1.CLP-3 · 2.1절 · 7번대학 수준우리말 번역

(a) 극한을 구하세요: lim⁡(x,y)→(0,0)x8+y8x4+y4\displaystyle \lim_{(x,y)\to(0,0)}\frac{x^8+y^8}{x^4+y^4}. (b) 다음 극한이 존재하지 않음을 증명하세요: lim⁡(x,y)→(0,0)xy5x8+y10\displaystyle \lim_{(x,y)\to(0,0)}\frac{xy^5}{x^8+y^{10}}.

영어 원문 보기

(a) Find the limit: lim⁡(x,y)→(0,0)x8+y8x4+y4\displaystyle \lim_{(x,y)\to(0,0)}\frac{x^8+y^8}{x^4+y^4}. (b) Prove that the following limit does not exist: lim⁡(x,y)→(0,0)xy5x8+y10\displaystyle \lim_{(x,y)\to(0,0)}\frac{xy^5}{x^8+y^{10}}.

정답·풀이 보기

(a) 극좌표에서 x=rcos⁡θx=r\cos\theta, y=rsin⁡θy=r\sin\theta 이므로

x8+y8x4+y4=r8cos⁡8θ+r8sin⁡8θr4cos⁡4θ+r4sin⁡4θ=r4cos⁡8θ+sin⁡8θcos⁡4θ+sin⁡4θ\begin{aligned} \frac{x^8+y^8}{x^4+y^4} &=\frac{r^8\cos^8\theta+r^8\sin^8\theta}{r^4\cos^4\theta+r^4\sin^4\theta} =r^4\frac{\cos^8\theta+\sin^8\theta}{\cos^4\theta+\sin^4\theta} \end{aligned}

이때

cos⁡8θ+sin⁡8θcos⁡4θ+sin⁡4θ≤cos⁡8θ+2cos⁡4θsin⁡4θ+sin⁡8θcos⁡4θ+sin⁡4θ=(cos⁡4θ+sin⁡4θ)2cos⁡4θ+sin⁡4θ=cos⁡4θ+sin⁡4θ≤2\begin{aligned} \frac{\cos^8\theta+\sin^8\theta}{\cos^4\theta+\sin^4\theta} &\le \frac{\cos^8\theta+2\cos^4\theta\sin^4\theta+\sin^8\theta} {\cos^4\theta+\sin^4\theta} =\frac{\big(\cos^4\theta+\sin^4\theta\big)^2}{\cos^4\theta+\sin^4\theta} \\ &=\cos^4\theta+\sin^4\theta \le 2 \end{aligned}

이므로

0≤x8+y8x4+y4≤2r40\le \frac{x^8+y^8}{x^4+y^4}\le 2r^4

이다. lim⁡(x,y)→(0,0)2r4=0\displaystyle \lim_{(x,y)\to (0,0)}2r^4=0 이므로 조임 정리에 의해 lim⁡(x,y)→(0,0)x8+y8x4+y4=0\displaystyle \lim_{(x,y)\to(0,0)}\frac{x^8+y^8}{x^4+y^4}=0 이다.

(b) 극좌표에서

xy5x8+y10=r6cos⁡θ sin⁡5θr8cos⁡8θ+r10sin⁡10θ=1r2cos⁡θ sin⁡5θcos⁡8θ+r2sin⁡10θ\begin{aligned} \frac{xy^5}{x^8+y^{10}} &=\frac{r^6\cos\theta\,\sin^5\theta}{r^8\cos^8\theta+r^{10}\sin^{10}\theta} =\frac{1}{r^2}\frac{\cos\theta\,\sin^5\theta}{\cos^8\theta+r^2\sin^{10}\theta} \end{aligned}

이다. (x,y)→(0,0)(x,y)\to (0,0) 일 때 첫째 분수 1r2→∞\frac{1}{r^2}\to\infty 이지만, 둘째 인수는 여러 가지 다른 값을 가질 수 있다. 예를 들어 (x,y)(x,y) 를 yy축을 따라, 즉 θ=±π2\theta=\pm\frac{\pi}{2} 로 원점에 가까이 보내면

lim⁡(x,y)→(0,0)x=0xy5x8+y10=lim⁡y→00y10=0\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{x=0}}\frac{xy^5}{x^8+y^{10}} =\lim_{y\to 0} \frac{0}{y^{10}}=0 \end{aligned}

이다. 그러나 (x,y)(x,y) 를 직선 y=xy=x 를 따라, 즉 θ=π4,5π4\theta=\frac{\pi}{4},\frac{5\pi}{4} 로 원점에 가까이 보내면

lim⁡(x,y)→(0,0)y=xxy5x8+y10=lim⁡x→0x6x8+x10=lim⁡x→01x211+x2=+∞\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{y=x} }\frac{xy^5}{x^8+y^{10}} =\lim_{x\to 0} \frac{x^6}{x^8+x^{10}} =\lim_{x\to 0} \frac{1}{x^2}\frac{1}{1+x^2} =+\infty \end{aligned}

이고, (x,y)(x,y) 를 직선 y=−xy=-x 를 따라, 즉 θ=−π4,3π4\theta=-\frac{\pi}{4},\frac{3\pi}{4} 로 원점에 가까이 보내면

lim⁡(x,y)→(0,0)y=−xxy5x8+y10=lim⁡x→0−x6x8+x10=lim⁡x→0−1x211+x2=−∞\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{y=-x} }\frac{xy^5}{x^8+y^{10}} =\lim_{x\to 0} \frac{-x^6}{x^8+x^{10}} =\lim_{x\to 0}- \frac{1}{x^2}\frac{1}{1+x^2} =-\infty \end{aligned}

이다. 따라서 (x,y)→(0,0)(x,y)\to(0,0) 일 때 xy5x8+y10\frac{xy^5}{x^8+y^{10}} 은 하나의 값에 가까워지지 않으므로 극한은 존재하지 않는다.

원본 교재 풀이(영어)

(a) In polar coordinates, x=rcos⁡θx=r\cos\theta, y=rsin⁡θy=r\sin\theta, so that

x8+y8x4+y4=r8cos⁡8θ+r8sin⁡8θr4cos⁡4θ+r4sin⁡4θ=r4cos⁡8θ+sin⁡8θcos⁡4θ+sin⁡4θ\begin{aligned} \frac{x^8+y^8}{x^4+y^4} &=\frac{r^8\cos^8\theta+r^8\sin^8\theta}{r^4\cos^4\theta+r^4\sin^4\theta} =r^4\frac{\cos^8\theta+\sin^8\theta}{\cos^4\theta+\sin^4\theta} \end{aligned}

As

cos⁡8θ+sin⁡8θcos⁡4θ+sin⁡4θ≤cos⁡8θ+2cos⁡4θsin⁡4θ+sin⁡8θcos⁡4θ+sin⁡4θ=(cos⁡4θ+sin⁡4θ)2cos⁡4θ+sin⁡4θ=cos⁡4θ+sin⁡4θ≤2\begin{aligned} \frac{\cos^8\theta+\sin^8\theta}{\cos^4\theta+\sin^4\theta} &\le \frac{\cos^8\theta+2\cos^4\theta\sin^4\theta+\sin^8\theta} {\cos^4\theta+\sin^4\theta} =\frac{\big(\cos^4\theta+\sin^4\theta\big)^2}{\cos^4\theta+\sin^4\theta} \\ &=\cos^4\theta+\sin^4\theta \le 2 \end{aligned}

we have

0≤x8+y8x4+y4≤2r40\le \frac{x^8+y^8}{x^4+y^4}\le 2r^4

As lim⁡(x,y)→(0,0)2r4=0\displaystyle \lim_{(x,y)\to (0,0)}2r^4=0, the squeeze theorem yields lim⁡(x,y)→(0,0)x8+y8x4+y4=0\displaystyle \lim_{(x,y)\to(0,0)}\frac{x^8+y^8}{x^4+y^4}=0.

(b) In polar coordinates

xy5x8+y10=r6cos⁡θ sin⁡5θr8cos⁡8θ+r10sin⁡10θ=1r2cos⁡θ sin⁡5θcos⁡8θ+r2sin⁡10θ\begin{aligned} \frac{xy^5}{x^8+y^{10}} &=\frac{r^6\cos\theta\,\sin^5\theta}{r^8\cos^8\theta+r^{10}\sin^{10}\theta} =\frac{1}{r^2}\frac{\cos\theta\,\sin^5\theta}{\cos^8\theta+r^2\sin^{10}\theta} \end{aligned}

As (x,y)→(0,0)(x,y)\to (0,0) the first fraction 1r2→∞\frac{1}{r^2}\to\infty but the second factor can take many different values. For example, if we send (x,y)(x,y) towards the origin along the yy–axis, i.e. with θ=±π2\theta=\pm\frac{\pi}{2},

lim⁡(x,y)→(0,0)x=0xy5x8+y10=lim⁡y→00y10=0\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{x=0}}\frac{xy^5}{x^8+y^{10}} =\lim_{y\to 0} \frac{0}{y^{10}}=0 \end{aligned}

but if we send (x,y)(x,y) towards the origin along the line y=xy=x, i.e. with θ=π4,5π4\theta=\frac{\pi}{4},\frac{5\pi}{4},

lim⁡(x,y)→(0,0)y=xxy5x8+y10=lim⁡x→0x6x8+x10=lim⁡x→01x211+x2=+∞\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{y=x} }\frac{xy^5}{x^8+y^{10}} =\lim_{x\to 0} \frac{x^6}{x^8+x^{10}} =\lim_{x\to 0} \frac{1}{x^2}\frac{1}{1+x^2} =+\infty \end{aligned}

and if we send (x,y)(x,y) towards the origin along the line y=−xy=-x, i.e. with θ=−π4,3π4\theta=-\frac{\pi}{4},\frac{3\pi}{4},

lim⁡(x,y)→(0,0)y=−xxy5x8+y10=lim⁡x→0−x6x8+x10=lim⁡x→0−1x211+x2=−∞\begin{aligned} \lim_{\genfrac{}{}{0pt}{}{(x,y)\to(0,0)}{y=-x} }\frac{xy^5}{x^8+y^{10}} =\lim_{x\to 0} \frac{-x^6}{x^8+x^{10}} =\lim_{x\to 0}- \frac{1}{x^2}\frac{1}{1+x^2} =-\infty \end{aligned}

So xy5x8+y10\frac{xy^5}{x^8+y^{10}} does not approach a single value as (x,y)→(0,0)(x,y)\to(0,0) and the limit does not exist.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.1절 · 6번
# 다변수함수의 극한과 연속증명·논술보통자동 분류
2.CLP-3 · 2.1절 · 8번대학 수준우리말 번역

다음 각 극한의 값을 구하거나 극한이 존재하지 않음을 보이세요.

(a) lim⁡(x,y)→(0,0)x3−y3x2+y2\displaystyle \lim_{(x,y)\rightarrow (0,0)}\frac{x^3-y^3}{x^2+y^2} (b) lim⁡(x,y)→(0,0)x2−y4x2+y4\displaystyle \lim_{(x,y)\rightarrow (0,0)}\frac{x^2-y^4}{x^2+y^4}

영어 원문 보기

Evaluate each of the following limits or show that it does not exist.

(a) lim⁡(x,y)→(0,0)x3−y3x2+y2\displaystyle \lim_{(x,y)\rightarrow (0,0)}\frac{x^3-y^3}{x^2+y^2} (b) lim⁡(x,y)→(0,0)x2−y4x2+y4\displaystyle \lim_{(x,y)\rightarrow (0,0)}\frac{x^2-y^4}{x^2+y^4}

정답·풀이 보기

(a) 극좌표로 나타내면

x3−y3x2+y2=r3cos⁡3θ−r3sin⁡3θr2=rcos⁡3θ−rsin⁡3θ\frac{x^3-y^3}{x^2+y^2}=\frac{r^3\cos^3\theta-r^3\sin^3\theta}{r^2} =r\cos^3\theta-r\sin^3\theta

이다.

∣rcos⁡3θ−rsin⁡3θ∣≤2r\big|r\cos^3\theta-r\sin^3\theta\big|\le 2r

이고 r→0r\rightarrow 0 일 때 2r→02r\rightarrow 0 이므로, 극한이 존재하고 그 값은 00 이다.

(b) xx축을 따라 (0,0)(0,0) 에 접근할 때의 극한은

lim⁡t→0x2−y4x2+y4∣(x,y)=(t,0)=lim⁡t→0t2−04t2+04=1\begin{aligned} \lim_{t\rightarrow 0}\frac{x^2-y^4}{x^2+y^4}\bigg|_{(x,y)=(t,0)} =\lim_{t\rightarrow 0}\frac{t^2-0^4}{t^2+0^4} =1 \end{aligned}

이다. 한편 yy축을 따라 (0,0)(0,0) 에 접근할 때의 극한은

lim⁡t→0x2−y4x2+y4∣(x,y)=(0,t)=lim⁡t→002−t402+t4=−1\begin{aligned} \lim_{t\rightarrow 0}\frac{x^2-y^4}{x^2+y^4}\bigg|_{(x,y)=(0,t)} =\lim_{t\rightarrow 0}\frac{0^2-t^4}{0^2+t^4} =-1 \end{aligned}

이다. 두 값이 서로 다르므로 (x,y)→0(x,y)\rightarrow 0 일 때의 극한은 존재하지 않는다.

극좌표로 바꾸면 원점 근처에서 x2−y4x2+y4\frac{x^2-y^4}{x^2+y^4} 의 거동을 더 자세히 이해할 수 있다.

x2−y4x2+y4=r2cos⁡2θ−r4sin⁡4θr2cos⁡2θ+r4sin⁡4θ=cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ\frac{x^2-y^4}{x^2+y^4} =\frac{r^2\cos^2\theta-r^4\sin^4\theta}{r^2\cos^2\theta+r^4\sin^4\theta} =\frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta}

이제 θ\theta 를 임의로 고정하고 r→0r\rightarrow 0 이라 하자(즉 양의 xx축과 이루는 각이 θ\theta 인 반직선을 따라 원점에 접근한다). cos⁡θ≠0\cos\theta\ne 0 이면(즉 그 반직선이 yy축의 일부가 아니면)

lim⁡r→0cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ=cos⁡2θcos⁡2θ=1\begin{aligned} \lim_{r\rightarrow 0} \frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta} =\frac{\cos^2\theta}{\cos^2\theta} =1 \end{aligned}

이다. 그러나 cos⁡θ=0\cos\theta= 0 이면(즉 그 반직선이 yy축의 일부이면)

lim⁡r→0cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ=lim⁡r→0−r2sin⁡4θr2sin⁡4θ=−sin⁡4θsin⁡4θ=−1\begin{aligned} \lim_{r\rightarrow 0} \frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta} =\lim_{r\rightarrow 0} \frac{-r^2\sin^4\theta}{r^2\sin^4\theta} =\frac{-\sin^4\theta}{\sin^4\theta} =-1 \end{aligned}

이다.

원본 교재 풀이(영어)

(a) In polar coordinates

x3−y3x2+y2=r3cos⁡3θ−r3sin⁡3θr2=rcos⁡3θ−rsin⁡3θ\frac{x^3-y^3}{x^2+y^2}=\frac{r^3\cos^3\theta-r^3\sin^3\theta}{r^2} =r\cos^3\theta-r\sin^3\theta

Since

∣rcos⁡3θ−rsin⁡3θ∣≤2r\big|r\cos^3\theta-r\sin^3\theta\big|\le 2r

and 2r→02r\rightarrow 0 as r→0r\rightarrow 0, the limit exists and is 00.

(b) The limit as we approach (0,0)(0,0) along the xx-axis is

lim⁡t→0x2−y4x2+y4∣(x,y)=(t,0)=lim⁡t→0t2−04t2+04=1\begin{aligned} \lim_{t\rightarrow 0}\frac{x^2-y^4}{x^2+y^4}\bigg|_{(x,y)=(t,0)} =\lim_{t\rightarrow 0}\frac{t^2-0^4}{t^2+0^4} =1 \end{aligned}

On the other hand the limit as we approach (0,0)(0,0) along the yy-axis is

lim⁡t→0x2−y4x2+y4∣(x,y)=(0,t)=lim⁡t→002−t402+t4=−1\begin{aligned} \lim_{t\rightarrow 0}\frac{x^2-y^4}{x^2+y^4}\bigg|_{(x,y)=(0,t)} =\lim_{t\rightarrow 0}\frac{0^2-t^4}{0^2+t^4} =-1 \end{aligned}

These are different, so the limit as (x,y)→0(x,y)\rightarrow 0 does not exist.

We can gain a more detailed understanding of the behaviour of x2−y4x2+y4\frac{x^2-y^4}{x^2+y^4} near the origin by switching to polar coordinates.

x2−y4x2+y4=r2cos⁡2θ−r4sin⁡4θr2cos⁡2θ+r4sin⁡4θ=cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ\frac{x^2-y^4}{x^2+y^4} =\frac{r^2\cos^2\theta-r^4\sin^4\theta}{r^2\cos^2\theta+r^4\sin^4\theta} =\frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta}

Now fix any θ\theta and let r→0r\rightarrow 0 (so that we are approaching the origin along the ray that makes an angle θ\theta with the positive xx-axis). If cos⁡θ≠0\cos\theta\ne 0 (i.e. the ray is not part of the yy-axis)

lim⁡r→0cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ=cos⁡2θcos⁡2θ=1\begin{aligned} \lim_{r\rightarrow 0} \frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta} =\frac{\cos^2\theta}{\cos^2\theta} =1 \end{aligned}

But if cos⁡θ=0\cos\theta= 0 (i.e. the ray is part of the yy-axis)

lim⁡r→0cos⁡2θ−r2sin⁡4θcos⁡2θ+r2sin⁡4θ=lim⁡r→0−r2sin⁡4θr2sin⁡4θ=−sin⁡4θsin⁡4θ=−1\begin{aligned} \lim_{r\rightarrow 0} \frac{\cos^2\theta-r^2\sin^4\theta}{\cos^2\theta+r^2\sin^4\theta} =\lim_{r\rightarrow 0} \frac{-r^2\sin^4\theta}{r^2\sin^4\theta} =\frac{-\sin^4\theta}{\sin^4\theta} =-1 \end{aligned}

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.2절 · 42번
# 다변수함수의 극한과 연속증명·논술보통자동 분류
3.CLP-3 · 2.2절 · 5번대학 수준우리말 번역

함수 z(x,y)=x+yx−yz(x,y)=\frac{x+y}{x-y} 가 다음을 만족시킴을 보이세요.

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

영어 원문 보기

Show that the function z(x,y)=x+yx−yz(x,y)=\frac{x+y}{x-y} obeys

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

정답·풀이 보기

몫의 미분법에 의해

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

따라서

x∂z∂x(x,y)+y∂z∂y(x,y)=−2xy+2yx(x−y)2=0x\frac{\partial z}{\partial x}(x,y)+y\frac{\partial z}{\partial y}(x,y) =\frac{-2xy+2yx}{(x-y)^2} =0

원본 교재 풀이(영어)

By the quotient rule

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

Hence

x∂z∂x(x,y)+y∂z∂y(x,y)=−2xy+2yx(x−y)2=0x\frac{\partial z}{\partial x}(x,y)+y\frac{\partial z}{\partial y}(x,y) =\frac{-2xy+2yx}{(x-y)^2} =0

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.2절 · 11번
# 편도함수증명·논술보통자동 분류
4.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
5.CLP-3 · 2.4절 · 12번대학 수준우리말 번역

u(x,y)u(x,y) 가 다음과 같이 정의된다.

u(x,y)=ey F(xe−y2)u(x,y) = e^y\, F\big(xe^{-y^2}\big)

여기서 F(z)F(z) 는 임의의 함수이다.

(a) F(z)=ln⁡(z)F(z) = \ln(z) 일 때, ∂u∂x\frac{\partial u}{\partial x} 와 ∂u∂y\frac{\partial u}{\partial y} 를 구하세요. (b) 임의의 함수 F(z)F(z) 에 대해 u(x,y)u(x,y) 가 다음을 만족시킴을 보이세요.

2xy∂u∂x+∂u∂y=u2xy\frac{\partial u}{\partial x} + \frac{\partial u}{\partial y} = u

영어 원문 보기

u(x,y)u(x,y) is defined as

u(x,y)=ey F(xe−y2)u(x,y) = e^y\, F\big(xe^{-y^2}\big)

for an arbitrary function F(z)F(z).

(a) If F(z)=ln⁡(z)F(z) = \ln(z), find ∂u∂x\frac{\partial u}{\partial x} and ∂u∂y\frac{\partial u}{\partial y}. (b) For an arbitrary F(z)F(z) show that u(x,y)u(x,y) satisfies

2xy∂u∂x+∂u∂y=u2xy\frac{\partial u}{\partial x} + \frac{\partial u}{\partial y} = u

정답·풀이 보기

임의의 (미분가능한) 함수 FF 에 대해, 연쇄법칙과 곱의 미분법에 의해 다음이 성립한다.

∂u∂x(x,y)=∂∂x[ey F(xe−y2)]=ey ∂∂x[F(xe−y2)]=ey F′(xe−y2)∂∂x(xe−y2)=ey F′(xe−y2) e−y2∂u∂y(x,y)=∂∂y[ey F(xe−y2)]=ey F(xe−y2)+ey ∂∂y[F(xe−y2)]=ey F(xe−y2)+ey F′(xe−y2) ∂∂y(xe−y2)=ey F(xe−y2)+ey F′(xe−y2) (−2xy)e−y2\begin{aligned} \frac{\partial u}{\partial x}(x,y)&= \frac{\partial }{\partial x}\Big[e^y\,F\big(xe^{-y^2}\big)\Big] =e^y\,\frac{\partial }{\partial x}\Big[F\big(xe^{-y^2}\big)\Big] \\ &=e^y\,F'\big(xe^{-y^2}\big)\frac{\partial }{\partial x}\Big(xe^{-y^2}\Big) \\ &= e^y\, F'\big(xe^{-y^2}\big)\ e^{-y^2} \\ \frac{\partial u}{\partial y}(x,y)&= \frac{\partial }{\partial y}\Big[e^y\,F\big(xe^{-y^2}\big)\Big]\\ &=e^y\,F\big(xe^{-y^2}\big) +e^y\,\frac{\partial }{\partial y}\Big[F\big(xe^{-y^2}\big)\Big] \\ &= e^y\, F\big(xe^{-y^2}\big) + e^y\,F'\big(xe^{-y^2}\big)\ \frac{\partial }{\partial y}\Big(xe^{-y^2}\Big) \\ &= e^y\, F\big(xe^{-y^2}\big) + e^y\, F'\big(xe^{-y^2}\big)\ (-2xy)e^{-y^2} \end{aligned}

(a) 특히 F(z)=ln⁡(z)F(z)=\ln(z) 일 때 F′(z)=1zF'(z)=\frac{1}{z} 이므로

∂u∂x(x,y)=ey 1xe−y2 e−y2=eyx∂u∂y(x,y)=ey ln⁡(xe−y2)+ey 1xe−y2 (−2xy)e−y2=ey ln⁡(xe−y2)−2yey=ey ln⁡(x)−y2 ey−2yey\begin{aligned} \frac{\partial u}{\partial x}(x,y)&= e^y\, \frac{1}{xe^{-y^2}}\ e^{-y^2} = \frac{e^y}{x}\\ \frac{\partial u}{\partial y}(x,y)&= e^y\, \ln\big(xe^{-y^2}\big) + e^y\, \frac{1}{xe^{-y^2}}\ (-2xy)e^{-y^2} = e^y\, \ln\big(xe^{-y^2}\big) -2y e^y \\ &= e^y\,\ln (x) -y^2\,e^y -2y e^y \end{aligned}

(b) 일반적으로

2xy∂u∂x+∂u∂y=2xy ey F′(xe−y2) e−y2+ey F(xe−y2)+ey F′(xe−y2) (−2xy)e−y2=ey F(xe−y2)=u\begin{aligned} 2xy\frac{\partial u}{\partial x} + \frac{\partial u}{\partial y} &=2xy\ e^y\, F'\big(xe^{-y^2}\big)\ e^{-y^2} +e^y\, F\big(xe^{-y^2}\big) + e^y\, F'\big(xe^{-y^2}\big)\ (-2xy)e^{-y^2} \\ &=e^y\, F\big(xe^{-y^2}\big) \\ &=u \end{aligned}

원본 교재 풀이(영어)

For any (differentiable) function FF, we have, by the chain and product rules,

∂u∂x(x,y)=∂∂x[ey F(xe−y2)]=ey ∂∂x[F(xe−y2)]=ey F′(xe−y2)∂∂x(xe−y2)=ey F′(xe−y2) e−y2∂u∂y(x,y)=∂∂y[ey F(xe−y2)]=ey F(xe−y2)+ey ∂∂y[F(xe−y2)]=ey F(xe−y2)+ey F′(xe−y2) ∂∂y(xe−y2)=ey F(xe−y2)+ey F′(xe−y2) (−2xy)e−y2\begin{aligned} \frac{\partial u}{\partial x}(x,y)&= \frac{\partial }{\partial x}\Big[e^y\,F\big(xe^{-y^2}\big)\Big] =e^y\,\frac{\partial }{\partial x}\Big[F\big(xe^{-y^2}\big)\Big] \\ &=e^y\,F'\big(xe^{-y^2}\big)\frac{\partial }{\partial x}\Big(xe^{-y^2}\Big) \\ &= e^y\, F'\big(xe^{-y^2}\big)\ e^{-y^2} \\ \frac{\partial u}{\partial y}(x,y)&= \frac{\partial }{\partial y}\Big[e^y\,F\big(xe^{-y^2}\big)\Big]\\ &=e^y\,F\big(xe^{-y^2}\big) +e^y\,\frac{\partial }{\partial y}\Big[F\big(xe^{-y^2}\big)\Big] \\ &= e^y\, F\big(xe^{-y^2}\big) + e^y\,F'\big(xe^{-y^2}\big)\ \frac{\partial }{\partial y}\Big(xe^{-y^2}\Big) \\ &= e^y\, F\big(xe^{-y^2}\big) + e^y\, F'\big(xe^{-y^2}\big)\ (-2xy)e^{-y^2} \end{aligned}

(a) In particular, when F(z)=ln⁡(z)F(z)=\ln(z), F′(z)=1zF'(z)=\frac{1}{z} and

∂u∂x(x,y)=ey 1xe−y2 e−y2=eyx∂u∂y(x,y)=ey ln⁡(xe−y2)+ey 1xe−y2 (−2xy)e−y2=ey ln⁡(xe−y2)−2yey=ey ln⁡(x)−y2 ey−2yey\begin{aligned} \frac{\partial u}{\partial x}(x,y)&= e^y\, \frac{1}{xe^{-y^2}}\ e^{-y^2} = \frac{e^y}{x}\\ \frac{\partial u}{\partial y}(x,y)&= e^y\, \ln\big(xe^{-y^2}\big) + e^y\, \frac{1}{xe^{-y^2}}\ (-2xy)e^{-y^2} = e^y\, \ln\big(xe^{-y^2}\big) -2y e^y \\ &= e^y\,\ln (x) -y^2\,e^y -2y e^y \end{aligned}

(b) In general

2xy∂u∂x+∂u∂y=2xy ey F′(xe−y2) e−y2+ey F(xe−y2)+ey F′(xe−y2) (−2xy)e−y2=ey F(xe−y2)=u\begin{aligned} 2xy\frac{\partial u}{\partial x} + \frac{\partial u}{\partial y} &=2xy\ e^y\, F'\big(xe^{-y^2}\big)\ e^{-y^2} +e^y\, F\big(xe^{-y^2}\big) + e^y\, F'\big(xe^{-y^2}\big)\ (-2xy)e^{-y^2} \\ &=e^y\, F\big(xe^{-y^2}\big) \\ &=u \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 11번
# 다변수 연쇄법칙증명·논술보통자동 분류
6.CLP-3 · 2.4절 · 14번대학 수준우리말 번역

w=f(xz,yz)w = f (xz, yz) 라고 하자. 여기서 ff 는 미분가능한 함수이다. 다음을 보여라.

x∂w∂x+y∂w∂y=z∂w∂zx\frac{\partial w}{\partial x} + y\frac{\partial w}{\partial y} = z\frac{\partial w}{\partial z}

영어 원문 보기

Suppose that w=f(xz,yz)w = f (xz, yz), where ff is a differentiable function. Show that

x∂w∂x+y∂w∂y=z∂w∂zx\frac{\partial w}{\partial x} + y\frac{\partial w}{\partial y} = z\frac{\partial w}{\partial z}

정답·풀이 보기

먼저 w(x,y,z)w(x,y,z) 의 1계 편도함수를 구한다. u(x,y,z)=xzu(x,y,z)=xz, v(x,y,z)=yzv(x,y,z)=yz 라 하면 w(x,y,z)=f(u(x,y,z),v(x,y,z))w(x,y,z) = f\big(u(x,y,z), v(x,y,z)\big) 이다. 연쇄 법칙에 의해

∂w∂x(x,y,z)=∂∂x[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂x(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂x(x,y,z)=z∂f∂u(xz,yz)∂w∂y(x,y,z)=∂∂y[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂y(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂y(x,y,z)=z∂f∂v(xz,yz)∂w∂z(x,y,z)=∂∂z[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂z(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂z(x,y,z)=x∂f∂u(xz,yz)+y∂f∂v(xz,yz)\begin{aligned} \frac{\partial w}{\partial x}(x,y,z) &= \frac{\partial }{\partial x}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial x}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial x}(x,y,z) \\ &=z\frac{\partial f}{\partial u}(xz, yz) \\ \frac{\partial w}{\partial y}(x,y,z) &= \frac{\partial }{\partial y}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial y}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial y}(x,y,z) \\ &=z\frac{\partial f}{\partial v}(xz, yz) \\ \frac{\partial w}{\partial z}(x,y,z) &= \frac{\partial }{\partial z}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial z}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial z}(x,y,z) \\ &=x\frac{\partial f}{\partial u}(xz, yz) + y\frac{\partial f}{\partial v}(xz, yz) \end{aligned}

따라서

x∂w∂x+y∂w∂y=xz∂f∂u(xz,yz)+yz∂f∂v(xz,yz)=z[x∂f∂u(xz,yz)+y∂f∂v(xz,yz)]=z∂w∂z\begin{aligned} x\frac{\partial w}{\partial x} + y\frac{\partial w}{\partial y} =xz\frac{\partial f}{\partial u}(xz, yz) + yz\frac{\partial f}{\partial v}(xz, yz) =z\left[x\frac{\partial f}{\partial u}(xz, yz) + y\frac{\partial f}{\partial v}(xz, yz)\right] =z\frac{\partial w}{\partial z} \end{aligned}

이므로 주어진 등식이 성립한다.

원본 교재 풀이(영어)

We'll first compute the first order partial derivatives of w(x,y,z)w(x,y,z). Write u(x,y,z)=xzu(x,y,z)=xz and v(x,y,z)=yzv(x,y,z)=yz so that w(x,y,z)=f(u(x,y,z),v(x,y,z))w(x,y,z) = f\big(u(x,y,z), v(x,y,z)\big). By the chain rule,

∂w∂x(x,y,z)=∂∂x[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂x(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂x(x,y,z)=z∂f∂u(xz,yz)∂w∂y(x,y,z)=∂∂y[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂y(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂y(x,y,z)=z∂f∂v(xz,yz)∂w∂z(x,y,z)=∂∂z[f(u(x,y,z),v(x,y,z))]=∂f∂u(u(x,y,z),v(x,y,z))∂u∂z(x,y,z)+∂f∂v(u(x,y,z),v(x,y,z))∂v∂z(x,y,z)=x∂f∂u(xz,yz)+y∂f∂v(xz,yz)\begin{aligned} \frac{\partial w}{\partial x}(x,y,z) &= \frac{\partial }{\partial x}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial x}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial x}(x,y,z) \\ &=z\frac{\partial f}{\partial u}(xz, yz) \\ \frac{\partial w}{\partial y}(x,y,z) &= \frac{\partial }{\partial y}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial y}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial y}(x,y,z) \\ &=z\frac{\partial f}{\partial v}(xz, yz) \\ \frac{\partial w}{\partial z}(x,y,z) &= \frac{\partial }{\partial z}\big[f \big(u(x,y,z), v(x,y,z)\big)\big]\\ &=\frac{\partial f}{\partial u}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial u}{\partial z}(x,y,z) +\frac{\partial f}{\partial v}\big(u(x,y,z), v(x,y,z)\big)\frac{\partial v}{\partial z}(x,y,z) \\ &=x\frac{\partial f}{\partial u}(xz, yz) + y\frac{\partial f}{\partial v}(xz, yz) \end{aligned}

So

x∂w∂x+y∂w∂y=xz∂f∂u(xz,yz)+yz∂f∂v(xz,yz)=z[x∂f∂u(xz,yz)+y∂f∂v(xz,yz)]=z∂w∂z\begin{aligned} x\frac{\partial w}{\partial x} + y\frac{\partial w}{\partial y} =xz\frac{\partial f}{\partial u}(xz, yz) + yz\frac{\partial f}{\partial v}(xz, yz) =z\left[x\frac{\partial f}{\partial u}(xz, yz) + y\frac{\partial f}{\partial v}(xz, yz)\right] =z\frac{\partial w}{\partial z} \end{aligned}

as desired.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 22번
# 다변수 연쇄법칙증명·논술보통자동 분류
7.CLP-3 · 2.4절 · 19번대학 수준우리말 번역

f(u,v)f(u,v) 를 두 변수의 미분가능한 함수라 하고, zz 를 f(xz,yz)=0f(xz,yz) = 0 으로 음함수로 정의된 xx 와 yy 의 미분가능한 함수라 하자. 다음을 보이세요.

x∂z∂x+y∂z∂y=−zx\frac{\partial z}{\partial x}+y\frac{\partial z}{\partial y} = -z

영어 원문 보기

Let f(u,v)f(u,v) be a differentiable function of two variables, and let zz be a differentiable function of xx and yy defined implicitly by f(xz,yz)=0f(xz,yz) = 0. Show that

x∂z∂x+y∂z∂y=−zx\frac{\partial z}{\partial x}+y\frac{\partial z}{\partial y} = -z

정답·풀이 보기

함수 z(x,y)z(x,y) 는 모든 xx 와 yy 에 대해

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

을 만족한다. 연쇄 법칙에 의해

∂∂x[f(x z(x,y) , y z(x,y))]=fu(x z(x,y) , y z(x,y))∂∂x[x z(x,y)]+fv(x z(x,y) , y z(x,y))∂∂x[y z(x,y)]=fu(x z(x,y) , y z(x,y)) [z(x,y)+x zx(x,y)]+fv(x z(x,y) , y z(x,y)) y zx(x,y)∂∂y[f(x z(x,y) , y z(x,y))]=fu(x z(x,y) , y z(x,y))∂∂y[x z(x,y)]+fv(x z(x,y) , y z(x,y))∂∂y[y z(x,y)]=fu(x z(x,y) , y z(x,y)) x zy(x,y)+fv(x z(x,y) , y z(x,y)) [z(x,y)+y zy(x,y)]\begin{aligned} &\frac{\partial }{\partial x}\big[f\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\big] \\[-0.05in] &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial x}\big[x\,z(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial x}\big[y\,z(x,y)\big] \\ &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,\big[z(x,y)+x\,z_x(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,y\,z_x(x,y) \\ &\frac{\partial }{\partial y}\big[f\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\big] \\[-0.05in] &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial y}\big[x\,z(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial y}\big[y\,z(x,y)\big] \\ &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, x\,z_y(x,y) + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, \big[z(x,y)+y\,z_y(x,y)\big] \end{aligned}

이므로 (∗)(*) 를 xx 에 대해, 그리고 yy 에 대해 미분하면

fu(x z(x,y) , y z(x,y)) [z(x,y)+x zx(x,y)]+fv(x z(x,y) , y z(x,y)) yzx(x,y)=0fu(x z(x,y) , y z(x,y)) x zy(x,y)+fv(x z(x,y) , y z(x,y)) [z(x,y)+y zy(x,y)]=0\begin{aligned} f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,\big[z(x,y)+x\,z_x(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,y z_x(x,y) &=0 \\ f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, x\,z_y(x,y) + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, \big[z(x,y)+y\,z_y(x,y)\big] &=0 \end{aligned}

이고, 인수를 생략하여 나타내면

fu [z+x zx]+fv yzx=0fu x zy+fv [z+y zy]=0\begin{aligned} f_u\,\big[z+x\,z_x\big] + f_v\,y z_x &=0 \\ f_u\, x\,z_y + f_v\,\big[z+y\,z_y\big] &=0 \end{aligned}

이다. 첫 번째 식을 zxz_x 에 대해, 두 번째 식을 zyz_y 에 대해 풀면

zx=−z fux fu+y fvzy=−z fvx fu+y fv\begin{aligned} z_x & = -\frac{z\,f_u}{x\,f_u+y\,f_v} \\ z_y & = -\frac{z\,f_v}{x\,f_u+y\,f_v} \end{aligned}

이므로

x∂z∂x+y∂z∂y=−xz fux fu+y fv−yz fvx fu+y fv=−z (x fu+y fv)x fu+y fv=−z\begin{aligned} x\frac{\partial z}{\partial x}+y\frac{\partial z}{\partial y} = -\frac{xz\,f_u}{x\,f_u+y\,f_v} -\frac{yz\,f_v}{x\,f_u+y\,f_v} =-\frac{z\,(x\,f_u+y\,f_v)}{x\,f_u+y\,f_v} = -z \end{aligned}

이다. 따라서 주어진 등식이 성립한다.

참고: 이는 물론 x fu+y fvx\,f_u+y\,f_v 가 0이 아니라는 가정 아래에서이다. 연쇄 법칙에 의해 이 가정은 ∂∂z[f(xz,yz)]\frac{\partial }{\partial z}\big[f(xz,yz)\big] 가 0이 아니라는 가정과 같다. 이는 다시 f(xz,yz)=0f(xz,yz)=0 을 xx 와 yy 의 함수로서 zz 에 대해 풀 수 있다는 진술과 거의 같지만, 완전히 같지는 않다.

원본 교재 풀이(영어)

We are told that the function z(x,y)z(x,y) obeys

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

for all xx and yy. By the chain rule,

∂∂x[f(x z(x,y) , y z(x,y))]=fu(x z(x,y) , y z(x,y))∂∂x[x z(x,y)]+fv(x z(x,y) , y z(x,y))∂∂x[y z(x,y)]=fu(x z(x,y) , y z(x,y)) [z(x,y)+x zx(x,y)]+fv(x z(x,y) , y z(x,y)) y zx(x,y)∂∂y[f(x z(x,y) , y z(x,y))]=fu(x z(x,y) , y z(x,y))∂∂y[x z(x,y)]+fv(x z(x,y) , y z(x,y))∂∂y[y z(x,y)]=fu(x z(x,y) , y z(x,y)) x zy(x,y)+fv(x z(x,y) , y z(x,y)) [z(x,y)+y zy(x,y)]\begin{aligned} &\frac{\partial }{\partial x}\big[f\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\big] \\[-0.05in] &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial x}\big[x\,z(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial x}\big[y\,z(x,y)\big] \\ &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,\big[z(x,y)+x\,z_x(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,y\,z_x(x,y) \\ &\frac{\partial }{\partial y}\big[f\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\big] \\[-0.05in] &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial y}\big[x\,z(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\frac{\partial }{\partial y}\big[y\,z(x,y)\big] \\ &=f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, x\,z_y(x,y) + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, \big[z(x,y)+y\,z_y(x,y)\big] \end{aligned}

so differentiating (∗)(*) with respect to xx and with respect to yy gives

fu(x z(x,y) , y z(x,y)) [z(x,y)+x zx(x,y)]+fv(x z(x,y) , y z(x,y)) yzx(x,y)=0fu(x z(x,y) , y z(x,y)) x zy(x,y)+fv(x z(x,y) , y z(x,y)) [z(x,y)+y zy(x,y)]=0\begin{aligned} f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,\big[z(x,y)+x\,z_x(x,y)\big] + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\,y z_x(x,y) &=0 \\ f_u\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, x\,z_y(x,y) + f_v\big(x\,z(x,y)\,,\, y\,z(x,y)\big)\, \big[z(x,y)+y\,z_y(x,y)\big] &=0 \end{aligned}

or, leaving out the arguments,

fu [z+x zx]+fv yzx=0fu x zy+fv [z+y zy]=0\begin{aligned} f_u\,\big[z+x\,z_x\big] + f_v\,y z_x &=0 \\ f_u\, x\,z_y + f_v\,\big[z+y\,z_y\big] &=0 \end{aligned}

Solving the first equation for zxz_x and the second for zyz_y gives

zx=−z fux fu+y fvzy=−z fvx fu+y fv\begin{aligned} z_x & = -\frac{z\,f_u}{x\,f_u+y\,f_v} \\ z_y & = -\frac{z\,f_v}{x\,f_u+y\,f_v} \end{aligned}

so that

x∂z∂x+y∂z∂y=−xz fux fu+y fv−yz fvx fu+y fv=−z (x fu+y fv)x fu+y fv=−z\begin{aligned} x\frac{\partial z}{\partial x}+y\frac{\partial z}{\partial y} = -\frac{xz\,f_u}{x\,f_u+y\,f_v} -\frac{yz\,f_v}{x\,f_u+y\,f_v} =-\frac{z\,(x\,f_u+y\,f_v)}{x\,f_u+y\,f_v} = -z \end{aligned}

as desired.

Remark: This is of course under the assumption that x fu+y fvx\,f_u+y\,f_v is nonzero. That is equivalent, by the chain rule, to the assumption that ∂∂z[f(xz,yz)]\frac{\partial }{\partial z}\big[f(xz,yz)\big] is non zero. That, in turn, is almost, but not quite, equivalent to the statement that f(xz,yz)=0f(xz,yz)=0 is can be solved for zz as a function of xx and yy.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 18번
# 다변수 연쇄법칙증명·논술보통자동 분류
8.CLP-3 · 2.4절 · 23번대학 수준우리말 번역

(a) ff 를 실수 전체에서 정의된 임의의 미분가능한 함수라 하자. 평면 전체에서 다음과 같이 정의된 함수 ww 가

w(x,y)=e−yf(x−y)w(x,y)=e^{-y}f(x-y)

편미분방정식

w+∂w∂x+∂w∂y=0w+\frac{\partial w}{\partial x}+\frac{\partial w}{\partial y}=0

을 만족시킴을 보이세요. (b) 방정식 x=u3−3uv2x=u^3-3uv^2, y=3u2v−v3y=3u^2v-v^3, z=u2−v2z=u^2-v^2 은 zz 를 xx 와 yy 의 함수로 정의한다. 점 (x,y)=(2,11)(x,y)=(2,11) 에 대응하는 점 (u,v)=(2,1)(u,v)=(2,1) 에서 ∂z∂x\frac{\partial z}{\partial x} 의 값을 구하세요.

영어 원문 보기

(a) Let ff be an arbitrary differentiable function defined on the entire real line. Show that the function ww defined on the entire plane as

w(x,y)=e−yf(x−y)w(x,y)=e^{-y}f(x-y)

satisfies the partial differential equation:

w+∂w∂x+∂w∂y=0w+\frac{\partial w}{\partial x}+\frac{\partial w}{\partial y}=0 (b) The equations x=u3−3uv2x=u^3-3uv^2, y=3u2v−v3y=3u^2v-v^3 and z=u2−v2z=u^2-v^2 define zz as a function of xx and yy. Determine ∂z∂x\frac{\partial z}{\partial x} at the point (u,v)=(2,1)(u,v)=(2,1) which corresponds to the point (x,y)=(2,11)(x,y)=(2,11).

정답·풀이 보기

(a) 곱의 미분법과 연쇄 법칙에 의해

wx(x,y)=∂∂x[e−yf(x−y)]=e−y∂∂x[f(x−y)]=e−yf′(x−y)∂∂x(x−y)=e−yf′(x−y)wy(x,y)=∂∂y[e−yf(x−y)]=−e−yf(x−y)+e−y∂∂y[f(x−y)]=−e−yf(x−y)+e−yf′(x−y)∂∂y(x−y)=−e−yf(x−y)−e−yf′(x−y)\begin{aligned} w_x(x,y) &= \frac{\partial }{\partial x}\big[e^{-y}f(x-y)\big] = e^{-y} \frac{\partial }{\partial x}\big[f(x-y)\big] = e^{-y} f'(x-y)\frac{\partial }{\partial x}(x-y) \\ &= e^{-y}f'(x-y) \\% w_y(x,y) &= \frac{\partial }{\partial y}\big[e^{-y}f(x-y)\big] = -e^{-y}f(x-y) + e^{-y} \frac{\partial }{\partial y}\big[f(x-y)\big] \\ &= -e^{-y}f(x-y) + e^{-y} f'(x-y)\frac{\partial }{\partial y}(x-y) \\ &= -e^{-y}f(x-y)-e^{-y}f'(x-y) \end{aligned}

이므로

w+∂w∂x+∂w∂y=e−yf(x−y)+e−yf′(x−y)−e−yf(x−y)−e−yf′(x−y)=0w+\frac{\partial w}{\partial x}+\frac{\partial w}{\partial y} =e^{-y}f(x-y)+e^{-y}f'(x-y)-e^{-y}f(x-y)-e^{-y}f'(x-y) =0

이다. 따라서 성립한다.

(b) x=u3−3uv2x=u^3-3uv^2, y=3u2v−v3y=3u^2v-v^3 을 xx, yy 가 주어진 매개변수이고 uu, vv 가 미지수인 두 방정식으로 생각하자. 문제는 적어도 (u,v)=(2,1)(u,v)=(2,1), (x,y)=(2,11)(x,y)=(2,11) 근처에서 이 두 방정식을 uu, vv 에 대해 xx, yy 로 풀 수 있음을 암묵적으로 알려 준다. 즉, 함수 u(x,y)u(x,y) 와 v(x,y)v(x,y) 가 다음 식으로 정해진다는 것을 알려 준다.

x=u(x,y)3−3u(x,y) v(x,y)2y=3u(x,y)2v(x,y)−v(x,y)3x=u(x,y)^3-3u(x,y)\,v(x,y)^2\qquad y=3u(x,y)^2v(x,y)-v(x,y)^3

등식 x=u(x,y)3−3u(x,y)v(x,y)2x=u(x,y)^3-3u(x,y)v(x,y)^2 의 양변에 ∂∂x\frac{\partial }{\partial x} 를 취하면

1=3 u(x,y)2 ∂u∂x(x,y)−3∂u∂x(x,y) v(x,y)2−6 u(x,y) v(x,y) ∂v∂x(x,y)\begin{aligned} 1&=3\,u(x,y)^2\,\frac{\partial u}{\partial x}(x,y) -3\frac{\partial u}{\partial x}(x,y)\,v(x,y)^2 -6\,u(x,y)\,v(x,y)\,\frac{\partial v}{\partial x}(x,y) \\[0.05in] \end{aligned}

이다. 다음으로 y=3u(x,y)2v(x,y)−v(x,y)3y=3u(x,y)^2v(x,y)-v(x,y)^3 의 양변에 ∂∂x\frac{\partial }{\partial x} 를 취하면

0=6 u(x,y) ∂u∂x(x,y) v(x,y)+3 u(x,y)2 ∂v∂x(x,y)−3 v(x,y)2 ∂v∂x(x,y)\begin{aligned} 0&=6\,u(x,y)\,\frac{\partial u}{\partial x}(x,y)\,v(x,y) +3\,u(x,y)^2\,\frac{\partial v}{\partial x}(x,y) -3\,v(x,y)^2\,\frac{\partial v}{\partial x}(x,y) \end{aligned}

이다. x=2x=2, y=11y=11, u=2u=2, v=1v=1 을 대입하면

1=12∂u∂x(2,11)−3∂u∂x(2,11)−12∂v∂x(2,11)=9∂u∂x(2,11)−12∂v∂x(2,11)0=12∂u∂x(2,11)+12∂v∂x(2,11)−3∂v∂x(2,11)=12∂u∂x(2,11)+9∂v∂x(2,11)\begin{aligned} 1&=12\frac{\partial u}{\partial x}(2,11) -3\frac{\partial u}{\partial x}(2,11) -12\frac{\partial v}{\partial x}(2,11) &&=9\frac{\partial u}{\partial x}(2,11) -12\frac{\partial v}{\partial x}(2,11)\\[0.05in] 0&=12\frac{\partial u}{\partial x}(2,11) +12\frac{\partial v}{\partial x}(2,11) -3\frac{\partial v}{\partial x}(2,11) &&=12\frac{\partial u}{\partial x}(2,11) +9\frac{\partial v}{\partial x}(2,11) \end{aligned}

이다. 두 번째 식에서 ∂v∂x(2,11)=−43∂u∂x(2,11)\frac{\partial v}{\partial x}(2,11) =-\frac{4}{3}\frac{\partial u}{\partial x}(2,11) 이다. 이를 첫 번째 식에 대입하면

1=9∂u∂x(2,11)−12[−43∂u∂x(2,11)]=25∂u∂x(2,11)1=9\frac{\partial u}{\partial x}(2,11) -12\left[-\frac{4}{3}\frac{\partial u}{\partial x}(2,11)\right] = 25\frac{\partial u}{\partial x}(2,11)

이므로 ∂u∂x(2,11)=125\frac{\partial u}{\partial x}(2,11)=\frac{1}{25} 이고 ∂v∂x(2,11)=−475\frac{\partial v}{\partial x}(2,11)=-\frac{4}{75} 이다. 또한 문제에서 z(x,y)=u(x,y)2−v(x,y)2z(x,y)=u(x,y)^2-v(x,y)^2 임을 알 수 있다. 따라서

∂z∂x(x,y)=2u(x,y)∂u∂x(x,y)−2v(x,y)∂v∂x(x,y)  ⟹  ∂z∂x(2,11)=4∂u∂x(2,11)−2∂v∂x(2,11)=4125+2475=2075=415\begin{aligned} &\frac{\partial z}{\partial x}(x,y) =2u(x,y)\frac{\partial u}{\partial x}(x,y) -2v(x,y)\frac{\partial v}{\partial x}(x,y)\\ \implies & \frac{\partial z}{\partial x}(2,11) =4\frac{\partial u}{\partial x}(2,11) -2\frac{\partial v}{\partial x}(2,11) =4\frac{1}{25}+2\frac{4}{75}=\frac{20}{75} =\frac{4}{15} \end{aligned}

이다.

원본 교재 풀이(영어)

(a) By the product and chain rules

wx(x,y)=∂∂x[e−yf(x−y)]=e−y∂∂x[f(x−y)]=e−yf′(x−y)∂∂x(x−y)=e−yf′(x−y)wy(x,y)=∂∂y[e−yf(x−y)]=−e−yf(x−y)+e−y∂∂y[f(x−y)]=−e−yf(x−y)+e−yf′(x−y)∂∂y(x−y)=−e−yf(x−y)−e−yf′(x−y)\begin{aligned} w_x(x,y) &= \frac{\partial }{\partial x}\big[e^{-y}f(x-y)\big] = e^{-y} \frac{\partial }{\partial x}\big[f(x-y)\big] = e^{-y} f'(x-y)\frac{\partial }{\partial x}(x-y) \\ &= e^{-y}f'(x-y) \\% w_y(x,y) &= \frac{\partial }{\partial y}\big[e^{-y}f(x-y)\big] = -e^{-y}f(x-y) + e^{-y} \frac{\partial }{\partial y}\big[f(x-y)\big] \\ &= -e^{-y}f(x-y) + e^{-y} f'(x-y)\frac{\partial }{\partial y}(x-y) \\ &= -e^{-y}f(x-y)-e^{-y}f'(x-y) \end{aligned}

Hence

w+∂w∂x+∂w∂y=e−yf(x−y)+e−yf′(x−y)−e−yf(x−y)−e−yf′(x−y)=0w+\frac{\partial w}{\partial x}+\frac{\partial w}{\partial y} =e^{-y}f(x-y)+e^{-y}f'(x-y)-e^{-y}f(x-y)-e^{-y}f'(x-y) =0

as desired.

(b) Think of x=u3−3uv2x=u^3-3uv^2, y=3u2v−v3y=3u^2v-v^3 as two equations in the two unknowns uu, vv with xx, yy just being given parameters. The question implicitly tells us that those two equations can be solved for uu, vv in terms of xx, yy, at least near (u,v)=(2,1)(u,v)=(2,1), (x,y)=(2,11)(x,y)=(2,11). That is, the question implicitly tells us that the functions u(x,y)u(x,y) and v(x,y)v(x,y) are determined by

x=u(x,y)3−3u(x,y) v(x,y)2y=3u(x,y)2v(x,y)−v(x,y)3x=u(x,y)^3-3u(x,y)\,v(x,y)^2\qquad y=3u(x,y)^2v(x,y)-v(x,y)^3

Applying ∂∂x\frac{\partial }{\partial x} to both sides of the equation x=u(x,y)3−3u(x,y)v(x,y)2x=u(x,y)^3-3u(x,y)v(x,y)^2 gives

1=3 u(x,y)2 ∂u∂x(x,y)−3∂u∂x(x,y) v(x,y)2−6 u(x,y) v(x,y) ∂v∂x(x,y)\begin{aligned} 1&=3\,u(x,y)^2\,\frac{\partial u}{\partial x}(x,y) -3\frac{\partial u}{\partial x}(x,y)\,v(x,y)^2 -6\,u(x,y)\,v(x,y)\,\frac{\partial v}{\partial x}(x,y) \\[0.05in] \end{aligned}

Then applying ∂∂x\frac{\partial }{\partial x} to both sides of y=3u(x,y)2v(x,y)−v(x,y)3y=3u(x,y)^2v(x,y)-v(x,y)^3 gives

0=6 u(x,y) ∂u∂x(x,y) v(x,y)+3 u(x,y)2 ∂v∂x(x,y)−3 v(x,y)2 ∂v∂x(x,y)\begin{aligned} 0&=6\,u(x,y)\,\frac{\partial u}{\partial x}(x,y)\,v(x,y) +3\,u(x,y)^2\,\frac{\partial v}{\partial x}(x,y) -3\,v(x,y)^2\,\frac{\partial v}{\partial x}(x,y) \end{aligned}

Substituting in x=2x=2, y=11y=11, u=2u=2, v=1v=1 gives

1=12∂u∂x(2,11)−3∂u∂x(2,11)−12∂v∂x(2,11)=9∂u∂x(2,11)−12∂v∂x(2,11)0=12∂u∂x(2,11)+12∂v∂x(2,11)−3∂v∂x(2,11)=12∂u∂x(2,11)+9∂v∂x(2,11)\begin{aligned} 1&=12\frac{\partial u}{\partial x}(2,11) -3\frac{\partial u}{\partial x}(2,11) -12\frac{\partial v}{\partial x}(2,11) &&=9\frac{\partial u}{\partial x}(2,11) -12\frac{\partial v}{\partial x}(2,11)\\[0.05in] 0&=12\frac{\partial u}{\partial x}(2,11) +12\frac{\partial v}{\partial x}(2,11) -3\frac{\partial v}{\partial x}(2,11) &&=12\frac{\partial u}{\partial x}(2,11) +9\frac{\partial v}{\partial x}(2,11) \end{aligned}

From the second equation ∂v∂x(2,11)=−43∂u∂x(2,11)\frac{\partial v}{\partial x}(2,11) =-\frac{4}{3}\frac{\partial u}{\partial x}(2,11). Substituting into the first equation gives

1=9∂u∂x(2,11)−12[−43∂u∂x(2,11)]=25∂u∂x(2,11)1=9\frac{\partial u}{\partial x}(2,11) -12\left[-\frac{4}{3}\frac{\partial u}{\partial x}(2,11)\right] = 25\frac{\partial u}{\partial x}(2,11)

so that ∂u∂x(2,11)=125\frac{\partial u}{\partial x}(2,11)=\frac{1}{25} and ∂v∂x(2,11)=−475\frac{\partial v}{\partial x}(2,11)=-\frac{4}{75}. The question also tells us that z(x,y)=u(x,y)2−v(x,y)2z(x,y)=u(x,y)^2-v(x,y)^2. Hence

∂z∂x(x,y)=2u(x,y)∂u∂x(x,y)−2v(x,y)∂v∂x(x,y)  ⟹  ∂z∂x(2,11)=4∂u∂x(2,11)−2∂v∂x(2,11)=4125+2475=2075=415\begin{aligned} &\frac{\partial z}{\partial x}(x,y) =2u(x,y)\frac{\partial u}{\partial x}(x,y) -2v(x,y)\frac{\partial v}{\partial x}(x,y)\\ \implies & \frac{\partial z}{\partial x}(2,11) =4\frac{\partial u}{\partial x}(2,11) -2\frac{\partial v}{\partial x}(2,11) =4\frac{1}{25}+2\frac{4}{75}=\frac{20}{75} =\frac{4}{15} \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 20번
# 다변수 연쇄법칙증명·논술보통자동 분류
9.CLP-3 · 2.7절 · 26번대학 수준우리말 번역

상수 kk 가 있어서 u=k/vu=k/v 일 때, uu 는 vv 에 반비례한다고 합니다. 금속 공 안의 온도 TT 가 공의 중심으로부터의 거리에 반비례한다고 합시다. 여기서 공의 중심은 원점으로 잡습니다. 점 (1,2,2)(1,2,2) 에서의 온도는 120∘120^\circ 입니다.

(a) 비례상수를 구하세요. (b) (1,2,2)(1,2,2) 에서 점 (2,1,3)(2,1,3) 을 향하는 방향으로의 TT 의 변화율을 구하세요. (c) 공 안의 대부분의 점에서 온도가 가장 크게 증가하는 방향은 원점을 향하는 방향임을 보이세요.

영어 원문 보기

We say that uu is inversely proportional to vv if there is a constant kk so that u=k/vu=k/v. Suppose that the temperature TT in a metal ball is inversely proportional to the distance from the centre of the ball, which we take to be the origin. The temperature at the point (1,2,2)(1,2,2) is 120∘120^\circ.

(a) Find the constant of proportionality. (b) Find the rate of change of TT at (1,2,2)(1,2,2) in the direction towards the point (2,1,3)(2,1,3). (c) Show that at most points in the ball, the direction of greatest increase is towards the origin.

정답·풀이 보기

(a) 어떤 상수 kk 에 대하여 T(x,y,z)=k∣<x,y,z>∣=kx2+y2+z2T(x,y,z)=\frac{k}{|\left< x,y,z\right>|} =\frac{k}{\sqrt{x^2+y^2+z^2}} 이고,

120=T(1,2,2)=k∣<1,2,2>∣  ⟹  k=120×1+22+22=360120=T(1,2,2)=\frac{k}{|\left< 1,2,2\right>|} \implies k=120\times\sqrt{1+2^2+2^2} = 360

이다.

(b) (1,2,2)(1,2,2) 에서 (2,1,3)(2,1,3) 으로 향하는 (단위)방향은 d=<2,1,3>−<1,2,2>∣<2,1,3>−<1,2,2>∣=<1,−1,1>∣<1,−1,1>∣=13<1,−1,1>\mathbf{d}=\frac{\left< 2,1,3\right>-\left< 1,2,2\right>}{|\left< 2,1,3\right>-\left< 1,2,2\right>|} =\frac{\left< 1,-1,1\right>}{|\left< 1,-1,1\right>|}=\frac{1}{\sqrt{3}}\left< 1,-1,1\right> 이다. 따라서 구하는 온도의 변화율은

DdT(1,2,2)=∇T(1,2,2)⋅d=−360xı^+yȷ^+zk^(x2+y2+z2)3/2∣<1,2,2>⋅d=−360<1,2,2>27⋅<1,−1,1>3=−4033≈−7.70\begin{aligned} D_{\mathbf{d}} T(1,2,2) &={ \boldsymbol{\nabla} } T(1,2,2)\cdot\mathbf{d} =-360\frac{x\hat{\boldsymbol{\imath}}+y\hat{\boldsymbol{\jmath}}+z\hat{\mathbf{k}}}{{(x^2+y^2+z^2)}^{3/2}}\Big|_{\left< 1,2,2\right>}\cdot\mathbf{d} \\ &=-360\frac{\left< 1,2,2\right>}{27}\cdot\frac{\left< 1,-1,1\right>}{\sqrt{3}} =-\frac{40}{3\sqrt{3}}\approx-7.70 \end{aligned}

이고, 단위 거리당 도이다.

(c) (x,y,z)(x,y,z) 에서 온도가 가장 크게 증가하는 방향은 (x,y,z)(x,y,z) 에서의 온도 기울기(그레이디언트)의 방향이며, 이는 ∇T(x,y,z)=−360xı^+yȷ^+zk^(x2+y2+z2)3/2{ \boldsymbol{\nabla} } T(x,y,z) =-360\frac{x\hat{\boldsymbol{\imath}}+y\hat{\boldsymbol{\jmath}}+z\hat{\mathbf{k}}}{{(x^2+y^2+z^2)}^{3/2}} 이고, 반지름 벡터와 반대 방향을 가리킨다. 즉, 원점을 향한다. 이 논증은 (x,y,z)=(0,0,0)(x,y,z)=(0,0,0) 에서만 성립하지 않는데, 그 점에서는 기울기뿐 아니라 T(x,y,z)T(x,y,z) 도 정의되지 않기 때문이다.

원본 교재 풀이(영어)

(a) We are told that T(x,y,z)=k∣<x,y,z>∣=kx2+y2+z2T(x,y,z)=\frac{k}{|\left< x,y,z\right>|} =\frac{k}{\sqrt{x^2+y^2+z^2}} for some constant kk and that

120=T(1,2,2)=k∣<1,2,2>∣  ⟹  k=120×1+22+22=360120=T(1,2,2)=\frac{k}{|\left< 1,2,2\right>|} \implies k=120\times\sqrt{1+2^2+2^2} = 360

(b) The (unit) direction from (1,2,2)(1,2,2) to (2,1,3)(2,1,3) is d=<2,1,3>−<1,2,2>∣<2,1,3>−<1,2,2>∣=<1,−1,1>∣<1,−1,1>∣=13<1,−1,1>\mathbf{d}=\frac{\left< 2,1,3\right>-\left< 1,2,2\right>}{|\left< 2,1,3\right>-\left< 1,2,2\right>|} =\frac{\left< 1,-1,1\right>}{|\left< 1,-1,1\right>|}=\frac{1}{\sqrt{3}}\left< 1,-1,1\right>. The desired rate of change of temperature is

DdT(1,2,2)=∇T(1,2,2)⋅d=−360xı^+yȷ^+zk^(x2+y2+z2)3/2∣<1,2,2>⋅d=−360<1,2,2>27⋅<1,−1,1>3=−4033≈−7.70\begin{aligned} D_{\mathbf{d}} T(1,2,2) &={ \boldsymbol{\nabla} } T(1,2,2)\cdot\mathbf{d} =-360\frac{x\hat{\boldsymbol{\imath}}+y\hat{\boldsymbol{\jmath}}+z\hat{\mathbf{k}}}{{(x^2+y^2+z^2)}^{3/2}}\Big|_{\left< 1,2,2\right>}\cdot\mathbf{d} \\ &=-360\frac{\left< 1,2,2\right>}{27}\cdot\frac{\left< 1,-1,1\right>}{\sqrt{3}} =-\frac{40}{3\sqrt{3}}\approx-7.70 \end{aligned}

degrees per unit distance.

(c) At (x,y,z)(x,y,z), the direction of greatest increase is in the direction of the temperature gradient at (x,y,z)(x,y,z), which is ∇T(x,y,z)=−360xı^+yȷ^+zk^(x2+y2+z2)3/2{ \boldsymbol{\nabla} } T(x,y,z) =-360\frac{x\hat{\boldsymbol{\imath}}+y\hat{\boldsymbol{\jmath}}+z\hat{\mathbf{k}}}{{(x^2+y^2+z^2)}^{3/2}} and which points opposite to the radius vector. That is, it points towards the origin. This argument only fails at (x,y,z)=(0,0,0)(x,y,z)=(0,0,0), where the gradient, and indeed T(x,y,z)T(x,y,z), is not defined.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.7절 · 29번
# 방향도함수와 기울기벡터증명·논술보통자동 분류
10.CLP-3 · 2.8절 · 7번대학 수준우리말 번역

F(u)F(u) 를 한 변수의 임의의 미분가능한 함수라 하자. z(x,y)=F(x2+y2)z(x,y)=F\big(x^2+y^2\big) 으로 정의한다. 편미분방정식

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

은 반드시 성립하는지 판단하세요. 답의 근거를 반드시 제시하세요.

영어 원문 보기

Let F(u)F(u) be any differentiable function of one variable. Define z(x,y)=F(x2+y2)z(x,y)=F\big(x^2+y^2\big). Is the partial differential equation

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

necessarily satisfied? You must justify your answer.

정답·풀이 보기

z=z(x,y)=F(x2+y2)z=z(x,y)=F\big(x^2+y^2\big) 일 때 좌변의 두 항을 각각 계산하면 된다. 연쇄 법칙에 의해

y∂z∂x=y∂∂xF(x2+y2)=yF′(x2+y2)∂∂x (x2+y2)=yF′(x2+y2)(2x)=2xy F′(x2+y2)x∂z∂y=x∂∂yF(x2+y2)=xF′(x2+y2)∂∂y (x2+y2)=xF′(x2+y2)(2y)=2xyF′(x2+y2)\begin{aligned} y\frac{\partial z}{\partial x}&= y\frac{\partial }{\partial x}F\big(x^2+y^2\big) =yF'\big(x^2+y^2\big) \frac{\partial }{\partial x}\,\big(x^2+y^2\big) =yF'\big(x^2+y^2\big)\left(2x\right) \\ &=2xy\,F'\big(x^2+y^2\big) \\ x\frac{\partial z}{\partial y}&= x\frac{\partial }{\partial y}F\big(x^2+y^2\big) =xF'\big(x^2+y^2\big) \frac{\partial }{\partial y}\,\big(x^2+y^2\big) =xF'\big(x^2+y^2\big)\left(2y\right) \\ &=2xyF'\big(x^2+y^2\big) \end{aligned}

이다. 따라서

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

이고, 미분가능한 모든 함수 FF 에 대해 z(x,y)=F(x2+y2)z(x,y)=F\big(x^2+y^2\big) 은 편미분방정식 y∂z∂x−x∂z∂y=0 y\frac{\partial z}{\partial x} - x\frac{\partial z}{\partial y}=0 의 해이다.

원본 교재 풀이(영어)

We simply evaluate the two terms on the left hand side when z=z(x,y)=F(x2+y2)z=z(x,y)=F\big(x^2+y^2\big). By the chain rule,

y∂z∂x=y∂∂xF(x2+y2)=yF′(x2+y2)∂∂x (x2+y2)=yF′(x2+y2)(2x)=2xy F′(x2+y2)x∂z∂y=x∂∂yF(x2+y2)=xF′(x2+y2)∂∂y (x2+y2)=xF′(x2+y2)(2y)=2xyF′(x2+y2)\begin{aligned} y\frac{\partial z}{\partial x}&= y\frac{\partial }{\partial x}F\big(x^2+y^2\big) =yF'\big(x^2+y^2\big) \frac{\partial }{\partial x}\,\big(x^2+y^2\big) =yF'\big(x^2+y^2\big)\left(2x\right) \\ &=2xy\,F'\big(x^2+y^2\big) \\ x\frac{\partial z}{\partial y}&= x\frac{\partial }{\partial y}F\big(x^2+y^2\big) =xF'\big(x^2+y^2\big) \frac{\partial }{\partial y}\,\big(x^2+y^2\big) =xF'\big(x^2+y^2\big)\left(2y\right) \\ &=2xyF'\big(x^2+y^2\big) \end{aligned}

So

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

and z(x,y)=F(x2+y2)z(x,y)=F\big(x^2+y^2\big) really does solve the PDE y∂z∂x−x∂z∂y=0 y\frac{\partial z}{\partial x} - x\frac{\partial z}{\partial y}=0 for any differentiable function FF.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.8절 · 1번
# 편미분방정식 맛보기증명·논술보통자동 분류
11.CLP-3 · 2.8절 · 9번대학 수준우리말 번역

u1(x,t)u_1(x,t) 와 u2(x,t)u_2(x,t) 가 모두 파동방정식 utt=uxxu_{tt}=u_{xx} 의 해이고, a1a_1 과 a2a_2 는 상수라 하자. u(x,t)=a1u1(x,t)+a2u2(t,x)u(x,t)=a_1u_1(x,t)+a_2u_2(t,x) 도 utt=uxxu_{tt}=u_{xx} 의 해임을 보이세요. 이 성질 때문에 파동방정식을 선형 편미분방정식이라고 한다.

영어 원문 보기

Let u1(x,t)u_1(x,t) and u2(x,t)u_2(x,t) both be solutions of the wave equation utt=uxxu_{tt}=u_{xx} and let a1a_1 and a2a_2 be constants. Show that u(x,t)=a1u1(x,t)+a2u2(t,x)u(x,t)=a_1u_1(x,t)+a_2u_2(t,x) is also a solution of utt=uxxu_{tt}=u_{xx}. Because of this property, the wave equation is said to be a linear PDE.

정답·풀이 보기

u1(x,t)u_1(x,t) 와 u2(x,t)u_2(x,t) 가 ∂2∂t2u1(x,t)=∂2∂x2u1(x,t)\frac{\partial^2}{\partial t^2}u_1(x,t) =\frac{\partial^2}{\partial x^2}u_1(x,t) 과 ∂2∂t2u2(x,t)=∂2∂x2u2(x,t)\frac{\partial^2}{\partial t^2}u_2(x,t) =\frac{\partial^2}{\partial x^2}u_2(x,t) 을 만족시킨다고 하자. 그러면 u(x,t)=a1u1(x,t)+a2u2(t,x)u(x,t)=a_1u_1(x,t)+a_2u_2(t,x) 는 다음을 만족시킨다.

utt(x,t)=∂2∂t2[a1u1(x,t)+a2u2(t,x)]=a1∂2∂t2u1(x,t)+a2∂2∂t2u2(x,t)=a1∂2∂x2u1(x,t)+a2∂2∂x2u2(x,t)=∂2∂x2[a1u1(x,t)+a2u2(t,x)]=uxx(x,t)\begin{aligned} u_{tt}(x,t) &= \frac{\partial^2}{\partial t^2} \big[a_1u_1(x,t)+a_2u_2(t,x)\big] \\ &=a_1\frac{\partial^2}{\partial t^2}u_1(x,t) + a_2\frac{\partial^2}{\partial t^2}u_2(x,t) \\ &=a_1\frac{\partial^2}{\partial x^2}u_1(x,t) + a_2\frac{\partial^2}{\partial x^2}u_2(x,t) \\ &= \frac{\partial^2}{\partial x^2}\big[a_1u_1(x,t)+a_2u_2(t,x)\big] \\ &=u_{xx}(x,t) \end{aligned}

따라서 보이려던 바가 성립한다.

원본 교재 풀이(영어)

Let u1(x,t)u_1(x,t) and u2(x,t)u_2(x,t) obey ∂2∂t2u1(x,t)=∂2∂x2u1(x,t)\frac{\partial^2}{\partial t^2}u_1(x,t) =\frac{\partial^2}{\partial x^2}u_1(x,t) and ∂2∂t2u2(x,t)=∂2∂x2u2(x,t)\frac{\partial^2}{\partial t^2}u_2(x,t) =\frac{\partial^2}{\partial x^2}u_2(x,t). Then u(x,t)=a1u1(x,t)+a2u2(t,x)u(x,t)=a_1u_1(x,t)+a_2u_2(t,x) obeys

utt(x,t)=∂2∂t2[a1u1(x,t)+a2u2(t,x)]=a1∂2∂t2u1(x,t)+a2∂2∂t2u2(x,t)=a1∂2∂x2u1(x,t)+a2∂2∂x2u2(x,t)=∂2∂x2[a1u1(x,t)+a2u2(t,x)]=uxx(x,t)\begin{aligned} u_{tt}(x,t) &= \frac{\partial^2}{\partial t^2} \big[a_1u_1(x,t)+a_2u_2(t,x)\big] \\ &=a_1\frac{\partial^2}{\partial t^2}u_1(x,t) + a_2\frac{\partial^2}{\partial t^2}u_2(x,t) \\ &=a_1\frac{\partial^2}{\partial x^2}u_1(x,t) + a_2\frac{\partial^2}{\partial x^2}u_2(x,t) \\ &= \frac{\partial^2}{\partial x^2}\big[a_1u_1(x,t)+a_2u_2(t,x)\big] \\ &=u_{xx}(x,t) \end{aligned}

as desired.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.8절 · 4번
# 편미분방정식 맛보기증명·논술보통자동 분류
12.CLP-3 · 2.8절 · 10번대학 수준우리말 번역

v(x,y)v(x,y) 를 조화함수라 하자. 즉, v(x,y)v(x,y) 는 vxx+vyy=0v_{xx}+v_{yy}=0 을 만족한다. aa, bb, cc, dd 는 상수라 하자. 벡터 <a,b>\left< a,b\right> 와 <c,d>\left< c,d\right> 의 길이가 같고 서로             ‾\underline{\ \ \ \ \ \ \ \ \ \ \ \ } (빈칸에 알맞은 말을 쓰세요) 이면, u(x,y)=v(ax+by , cx+dy)u(x,y)=v(ax+by\,,\,cx+dy) 도 조화함수임을 보이세요.

영어 원문 보기

Let v(x,y)v(x,y) be a harmonic function. That is, v(x,y)v(x,y) obeys vxx+vyy=0v_{xx}+v_{yy}=0. Let aa, bb, cc, dd be constants. Show that if the vectors <a,b>\left< a,b\right> and <c,d>\left< c,d\right> have the same length and are mutually             ‾\underline{\ \ \ \ \ \ \ \ \ \ \ \ } (fill in the missing word), then u(x,y)=v(ax+by , cx+dy)u(x,y)=v(ax+by\,,\,cx+dy) is also a harmonic function.

정답·풀이 보기

u(x,y)=v(ax+by , cx+dy)u(x,y)=v(ax+by\,,\,cx+dy) 에 대하여 uxx+uyyu_{xx}+u_{yy} 를 계산한다. 연쇄 법칙에 의해

u(x,y)=v(ax+by , cx+dy)ux(x,y)=a vx(ax+by , cx+dy)+c vy(ax+by , cx+dy)uy(x,y)=b vx(ax+by , cx+dy)+d vy(ax+by , cx+dy)uxx(x,y)=a2 vxx(ax+by , cx+dy)+ac vxy(ax+by , cx+dy)+ca vyx(ax+by , cx+dy)+c2 vyy(ax+by , cx+dy)uyy(x,y)=b2 vxx(ax+by , cx+dy)+bd vxy(ax+by , cx+dy)+db vyx(ax+by , cx+dy)+d2 vyy(ax+by , cx+dy)\begin{aligned} u(x,y) &= v(ax+by\,,\,cx+dy)\\ u_x(x,y) &= a\,v_x(ax+by\,,\,cx+dy)+c\,v_y(ax+by\,,\,cx+dy) \\ u_y(x,y) &= b\,v_x(ax+by\,,\,cx+dy)+d\,v_y(ax+by\,,\,cx+dy) \\ u_{xx}(x,y) &= a^2\,v_{xx}(ax+by\,,\,cx+dy)+ ac\,v_{xy}(ax+by\,,\,cx+dy) \\ & + ca\,v_{yx}(ax+by\,,\,cx+dy) +c^2\,v_{yy}(ax+by\,,\,cx+dy) \\ u_{yy}(x,y) &= b^2\,v_{xx}(ax+by\,,\,cx+dy)+ bd\,v_{xy}(ax+by\,,\,cx+dy) \\ & + db\,v_{yx}(ax+by\,,\,cx+dy) +d^2\,v_{yy}(ax+by\,,\,cx+dy) \end{aligned}

이므로 다음을 얻는다.

uxx+uyy=(a2+b2)vxx(ax+by , cx+dy)+(c2+d2)vyy(ax+by , cx+dy)+2(ac+bd)vxy(ax+by , cx+dy)\begin{aligned} u_{xx}+u_{yy} &=(a^2+b^2) v_{xx}(ax+by\,,\,cx+dy) +(c^2+d^2) v_{yy}(ax+by\,,\,cx+dy) \\& +2(ac+bd) v_{xy}(ax+by\,,\,cx+dy) \end{aligned}

  • a2+b2=c2+d2a^2+b^2=c^2+d^2 이면, 즉 <a,b>\left< a,b\right> 와 <c,d>\left< c,d\right> 의 길이가 같으면, vxx+vyy=0v_{xx}+v_{yy}=0 이므로 우변의 첫째 줄은 0이다.
  • <a,b>⋅<c,d>=ac+bd=0\left< a,b\right>\cdot\left< c,d\right>=ac+bd=0 이면, 즉 <a,b>\left< a,b\right> 와 <c,d>\left< c,d\right> 가 서로 수직이면, 우변의 둘째 줄은 0이다.

따라서 <a,b>\left< a,b\right> 와 <c,d>\left< c,d\right> 의 길이가 같고 서로 수직이면 uxx+uyy=0u_{xx}+u_{yy}=0 이다. 빈칸에 알맞은 말은 “수직”이다.

원본 교재 풀이(영어)

We evaluate uxx+uyyu_{xx}+u_{yy} with u(x,y)=v(ax+by , cx+dy)u(x,y)=v(ax+by\,,\,cx+dy). Since, by the chain rule,

u(x,y)=v(ax+by , cx+dy)ux(x,y)=a vx(ax+by , cx+dy)+c vy(ax+by , cx+dy)uy(x,y)=b vx(ax+by , cx+dy)+d vy(ax+by , cx+dy)uxx(x,y)=a2 vxx(ax+by , cx+dy)+ac vxy(ax+by , cx+dy)+ca vyx(ax+by , cx+dy)+c2 vyy(ax+by , cx+dy)uyy(x,y)=b2 vxx(ax+by , cx+dy)+bd vxy(ax+by , cx+dy)+db vyx(ax+by , cx+dy)+d2 vyy(ax+by , cx+dy)\begin{aligned} u(x,y) &= v(ax+by\,,\,cx+dy)\\ u_x(x,y) &= a\,v_x(ax+by\,,\,cx+dy)+c\,v_y(ax+by\,,\,cx+dy) \\ u_y(x,y) &= b\,v_x(ax+by\,,\,cx+dy)+d\,v_y(ax+by\,,\,cx+dy) \\ u_{xx}(x,y) &= a^2\,v_{xx}(ax+by\,,\,cx+dy)+ ac\,v_{xy}(ax+by\,,\,cx+dy) \\ & + ca\,v_{yx}(ax+by\,,\,cx+dy) +c^2\,v_{yy}(ax+by\,,\,cx+dy) \\ u_{yy}(x,y) &= b^2\,v_{xx}(ax+by\,,\,cx+dy)+ bd\,v_{xy}(ax+by\,,\,cx+dy) \\ & + db\,v_{yx}(ax+by\,,\,cx+dy) +d^2\,v_{yy}(ax+by\,,\,cx+dy) \end{aligned}

we have

uxx+uyy=(a2+b2)vxx(ax+by , cx+dy)+(c2+d2)vyy(ax+by , cx+dy)+2(ac+bd)vxy(ax+by , cx+dy)\begin{aligned} u_{xx}+u_{yy} &=(a^2+b^2) v_{xx}(ax+by\,,\,cx+dy) +(c^2+d^2) v_{yy}(ax+by\,,\,cx+dy) \\& +2(ac+bd) v_{xy}(ax+by\,,\,cx+dy) \end{aligned}

  • If a2+b2=c2+d2a^2+b^2=c^2+d^2, i.e. if <a,b>\left< a,b\right> and <c,d>\left< c,d\right> have the same length, then the first line of the right hand side is zero, since vxx+vyy=0v_{xx}+v_{yy}=0.
  • If <a,b>⋅<c,d>=ac+bd=0\left< a,b\right>\cdot\left< c,d\right>=ac+bd=0, i.e. if <a,b>\left< a,b\right> and <c,d>\left< c,d\right> are mutally perpendicular, then the second line of the right hand side is zero.

So if <a,b>\left< a,b\right> and <c,d>\left< c,d\right> have the same length and are mutally perpendicular, then uxx+uyy=0u_{xx}+u_{yy}=0. The missing word is “perpendicular”.

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.8절 · 9번
# 편미분방정식 맛보기증명·논술보통자동 분류