문제 은행 · 미적분 · 대학 미적분 · 다변수 미분

다변수 연쇄법칙

변수가 여러 단계로 연결될 때 나무 그림으로 편도함수를 구한다

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

1문제 · 1 / 1쪽

1.CLP-3 · 2.4절 · 4번대학 수준우리말 번역

열역학 교재에서는 다음 관계를 사용한다.

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

이 등식의 의미를 설명하고, 이것이 성립함을 증명하세요.

영어 원문 보기

Thermodynamics texts use the relationship

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

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

정답·풀이 보기

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

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

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

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

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

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

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

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

이다.

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

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

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

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

를 얻는다.

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

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

이고,

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

이다.

원본 교재 풀이(영어)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

and

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

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 5번
# 다변수 연쇄법칙증명·논술기본자동 분류