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.

2문제 · 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
2.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