문제 은행 · 미적분 · 대학 미적분 · 다변수 미분

다변수 연쇄법칙

먼저 혼자 풀어 보고, 풀이로 확인한 다음, 아래 「한 번 더」 문제로 이어서 연습하세요.

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 문제CLP-3 · 2.4절 · 18번우리말 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.

답 쓰고 채점
다 풀었으면 정답 확인

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}

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# 다변수 연쇄법칙증명·논술보통자동 분류

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