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.

3문제 · 1 / 1쪽

1.CLP-3 · 2.4절 · 8번대학 수준우리말 번역

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t) 의 모든 이계도함수를 구하세요. f(x,y)f(x,y) 는 매끄러운 함수이므로 연쇄 법칙과 혼합 편도함수의 같음에 관한 클레로의 정리가 적용된다고 가정해도 됩니다.

영어 원문 보기

Find all second order derivatives of g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t). 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

주어진 함수는

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t)

이다.

일계도함수는

gs(s,t)=2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t)gt(s,t)=3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t)\begin{aligned} g_s(s,t)&=2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\\ g_t(s,t)&=3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t) \end{aligned}

이다.

이계도함수는

gss(s,t)=∂∂s(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(2f11+3f12)+3(2f21+3f22)=4f11+6f12+6f21+9f22=4f11(2s+3t,3s−2t)+12f12(2s+3t,3s−2t)+9f22(2s+3t,3s−2t)gst(s,t)=∂∂t(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(3f11−2f12)+3(3f21−2f22)=6f11(2s+3t,3s−2t)+5f12(2s+3t,3s−2t)−6f22(2s+3t,3s−2t)gtt(s,t)=∂∂t(3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t))=3(3f11−2f12)−2(3f21−2f22)=9f11(2s+3t,3s−2t)−12f12(2s+3t,3s−2t)+4f22(2s+3t,3s−2t)\begin{aligned} g_{ss}(s,t) &=\frac{\partial }{\partial s}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(2f_{11}+3f_{12}\Big) +3\Big(2f_{21}+3f_{22}\Big)\\ &=4f_{11}+6f_{12}+6f_{21}+9f_{22}\\ &=4f_{11}(2s+3t,3s-2t)+12f_{12}(2s+3t,3s-2t)+9f_{22}(2s+3t,3s-2t)\\ g_{st}(s,t)&=\frac{\partial }{\partial t}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(3f_{11}-2f_{12}\Big) +3\Big(3f_{21}-2f_{22}\Big)\\ &=6f_{11}(2s+3t,3s-2t)+5f_{12}(2s+3t,3s-2t)-6f_{22}(2s+3t,3s-2t)\\ g_{tt}(s,t)&=\frac{\partial }{\partial t}\Big(3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t)\Big)\\ &=3\Big(3f_{11}-2f_{12}\Big) -2\Big(3f_{21}-2f_{22}\Big)\\ &=9f_{11}(2s+3t,3s-2t)-12f_{12}(2s+3t,3s-2t)+4f_{22}(2s+3t,3s-2t) \end{aligned}

이다.

여기서 f1f_1 은 ff 를 첫 번째 변수에 대해 편미분한 편도함수를 뜻하고, f12f_{12} 는 ff 를 먼저 첫 번째 변수에 대해 편미분한 다음 그 결과를 두 번째 변수에 대해 편미분한 것이며, 나머지도 같은 방식이다.

원본 교재 풀이(영어)

The given function is

g(s,t)=f(2s+3t,3s−2t)g(s,t)=f(2s+3t,3s-2t)

The first order derivatives are

gs(s,t)=2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t)gt(s,t)=3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t)\begin{aligned} g_s(s,t)&=2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\\ g_t(s,t)&=3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t) \end{aligned}

The second order derivatives are

gss(s,t)=∂∂s(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(2f11+3f12)+3(2f21+3f22)=4f11+6f12+6f21+9f22=4f11(2s+3t,3s−2t)+12f12(2s+3t,3s−2t)+9f22(2s+3t,3s−2t)gst(s,t)=∂∂t(2f1(2s+3t,3s−2t)+3f2(2s+3t,3s−2t))=2(3f11−2f12)+3(3f21−2f22)=6f11(2s+3t,3s−2t)+5f12(2s+3t,3s−2t)−6f22(2s+3t,3s−2t)gtt(s,t)=∂∂t(3f1(2s+3t,3s−2t)−2f2(2s+3t,3s−2t))=3(3f11−2f12)−2(3f21−2f22)=9f11(2s+3t,3s−2t)−12f12(2s+3t,3s−2t)+4f22(2s+3t,3s−2t)\begin{aligned} g_{ss}(s,t) &=\frac{\partial }{\partial s}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(2f_{11}+3f_{12}\Big) +3\Big(2f_{21}+3f_{22}\Big)\\ &=4f_{11}+6f_{12}+6f_{21}+9f_{22}\\ &=4f_{11}(2s+3t,3s-2t)+12f_{12}(2s+3t,3s-2t)+9f_{22}(2s+3t,3s-2t)\\ g_{st}(s,t)&=\frac{\partial }{\partial t}\Big(2f_1(2s+3t,3s-2t)+3f_2(2s+3t,3s-2t)\Big)\\ &=2\Big(3f_{11}-2f_{12}\Big) +3\Big(3f_{21}-2f_{22}\Big)\\ &=6f_{11}(2s+3t,3s-2t)+5f_{12}(2s+3t,3s-2t)-6f_{22}(2s+3t,3s-2t)\\ g_{tt}(s,t)&=\frac{\partial }{\partial t}\Big(3f_1(2s+3t,3s-2t)-2f_2(2s+3t,3s-2t)\Big)\\ &=3\Big(3f_{11}-2f_{12}\Big) -2\Big(3f_{21}-2f_{22}\Big)\\ &=9f_{11}(2s+3t,3s-2t)-12f_{12}(2s+3t,3s-2t)+4f_{22}(2s+3t,3s-2t) \end{aligned}

Here f1f_1 denotes the partial derivative of ff with respect to its first argument, f12f_{12} is the result of first taking one partial derivative of ff with respect to its first argument and then taking a partial derivative with respect to its second argument, and so on.

한 번 더 — 비슷한 문제 풀기OpenStax 3권 · 4.5절 · 39번
# 다변수 연쇄법칙활용보통자동 분류
2.CLP-3 · 2.4절 · 15번대학 수준우리말 번역

z=f(x,y)z = f (x, y) 가 연속인 이계 편도함수를 갖고, x=rcos⁡tx = r \cos t, y=rsin⁡ty = r \sin t 라 하자. 다음 편도함수를 rr, tt, 그리고 ff 의 편도함수로 나타내세요.

(a) ∂z∂t\frac{\partial z}{\partial t} (b) ∂2z∂t2\frac{\partial^2 z}{\partial t^2}

영어 원문 보기

Suppose z=f(x,y)z = f (x, y) has continuous second order partial derivatives, and x=rcos⁡tx = r \cos t, y=rsin⁡ty = r \sin t. Express the following partial derivatives in terms rr, tt, and partial derivatives of ff.

(a) ∂z∂t\frac{\partial z}{\partial t} (b) ∂2z∂t2\frac{\partial^2 z}{\partial t^2}

정답·풀이 보기

정의에 의해 z(r,t)=f(rcos⁡t , rsin⁡t)z(r,t) = f(r\cos t\,,\,r\sin t) 이다.

(a) 연쇄 법칙에 의해

∂z∂t(r,t)=∂∂t[f(rcos⁡t , rsin⁡t)]=∂f∂x(rcos⁡t , rsin⁡t)∂∂t(rcos⁡t)+∂f∂y(rcos⁡t , rsin⁡t)∂∂t(rsin⁡t)=−rsin⁡t ∂f∂x(rcos⁡t , rsin⁡t)+rcos⁡t ∂f∂y(rcos⁡t , rsin⁡t)\begin{aligned} \frac{\partial z}{\partial t}(r,t) &= \frac{\partial }{\partial t}\Big[f(r\cos t\,,\,r\sin t)\Big] \\ &= \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\frac{\partial }{\partial t}(r\cos t) +\frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\frac{\partial }{\partial t}(r\sin t) \\ &= -r\sin t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) +r\cos t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) \end{aligned}

(b) 선형성, 곱의 미분법, 연쇄 법칙에 의해

∂2z∂t2(r,t)=−∂∂t[rsin⁡t ∂f∂x(rcos⁡t , rsin⁡t)]+∂∂t[rcos⁡t ∂f∂y(rcos⁡t , rsin⁡t)]=−rcos⁡t ∂f∂x(rcos⁡t , rsin⁡t)−rsin⁡t ∂∂t[∂f∂x(rcos⁡t , rsin⁡t)]−rsin⁡t ∂f∂y(rcos⁡t , rsin⁡t)+rcos⁡t ∂∂t[∂f∂y(rcos⁡t , rsin⁡t)]=−rcos⁡t ∂f∂x(rcos⁡t , rsin⁡t)+r2sin⁡2t ∂2f∂x2(rcos⁡t , rsin⁡t)−r2sin⁡tcos⁡t ∂2 f∂y∂x(rcos⁡t , rsin⁡t)=−rsin⁡t ∂f∂y(rcos⁡t , rsin⁡t)−r2sin⁡tcos⁡t ∂2 f∂x∂y(rcos⁡t , rsin⁡t)+r2cos⁡2t ∂2f∂y2(rcos⁡t , rsin⁡t)=−rcos⁡t ∂f∂x−rsin⁡t ∂f∂y+r2sin⁡2t ∂2f∂x2−2r2sin⁡tcos⁡t ∂2 f∂x∂y+r2cos⁡2t ∂2f∂y2\begin{aligned} \frac{\partial^2 z}{\partial t^2}(r,t) &= -\frac{\partial }{\partial t}\left[r\sin t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\right] +\frac{\partial }{\partial t}\left[r\cos t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\right] \\ &= -r\cos t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) -r\sin t\ \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\right] \\ & -r\sin t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) +r\cos t\ \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\right] \\ &= -r\cos t \ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) \\ & +r^2\sin^2 t\ \frac{\partial^2 f}{\partial x^2}(r\cos t\,,\,r\sin t) -r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial y\partial x}(r\cos t\,,\,r\sin t) \\ &\phantom{=}-r\sin t \ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) \\ & -r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial x\partial y}(r\cos t\,,\,r\sin t) +r^2\cos^2 t\ \frac{\partial^2 f}{\partial y^2}(r\cos t\,,\,r\sin t) \\ &= -r\cos t \ \frac{\partial f}{\partial x} -r\sin t \ \frac{\partial f}{\partial y} \\ & +r^2\sin^2 t\ \frac{\partial^2 f}{\partial x^2} -2r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial x\partial y} +r^2\cos^2 t\ \frac{\partial^2 f}{\partial y^2} \end{aligned}

여기서 ff 의 모든 편도함수는 (rcos⁡t , rsin⁡t)(r\cos t\,,\,r\sin t) 에서의 값이다.

원본 교재 풀이(영어)

By definition z(r,t)=f(rcos⁡t , rsin⁡t)z(r,t) = f(r\cos t\,,\,r\sin t).

(a) By the chain rule

∂z∂t(r,t)=∂∂t[f(rcos⁡t , rsin⁡t)]=∂f∂x(rcos⁡t , rsin⁡t)∂∂t(rcos⁡t)+∂f∂y(rcos⁡t , rsin⁡t)∂∂t(rsin⁡t)=−rsin⁡t ∂f∂x(rcos⁡t , rsin⁡t)+rcos⁡t ∂f∂y(rcos⁡t , rsin⁡t)\begin{aligned} \frac{\partial z}{\partial t}(r,t) &= \frac{\partial }{\partial t}\Big[f(r\cos t\,,\,r\sin t)\Big] \\ &= \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\frac{\partial }{\partial t}(r\cos t) +\frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\frac{\partial }{\partial t}(r\sin t) \\ &= -r\sin t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) +r\cos t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) \end{aligned}

(b) By linearity, the product rule and the chain rule

∂2z∂t2(r,t)=−∂∂t[rsin⁡t ∂f∂x(rcos⁡t , rsin⁡t)]+∂∂t[rcos⁡t ∂f∂y(rcos⁡t , rsin⁡t)]=−rcos⁡t ∂f∂x(rcos⁡t , rsin⁡t)−rsin⁡t ∂∂t[∂f∂x(rcos⁡t , rsin⁡t)]−rsin⁡t ∂f∂y(rcos⁡t , rsin⁡t)+rcos⁡t ∂∂t[∂f∂y(rcos⁡t , rsin⁡t)]=−rcos⁡t ∂f∂x(rcos⁡t , rsin⁡t)+r2sin⁡2t ∂2f∂x2(rcos⁡t , rsin⁡t)−r2sin⁡tcos⁡t ∂2 f∂y∂x(rcos⁡t , rsin⁡t)=−rsin⁡t ∂f∂y(rcos⁡t , rsin⁡t)−r2sin⁡tcos⁡t ∂2 f∂x∂y(rcos⁡t , rsin⁡t)+r2cos⁡2t ∂2f∂y2(rcos⁡t , rsin⁡t)=−rcos⁡t ∂f∂x−rsin⁡t ∂f∂y+r2sin⁡2t ∂2f∂x2−2r2sin⁡tcos⁡t ∂2 f∂x∂y+r2cos⁡2t ∂2f∂y2\begin{aligned} \frac{\partial^2 z}{\partial t^2}(r,t) &= -\frac{\partial }{\partial t}\left[r\sin t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\right] +\frac{\partial }{\partial t}\left[r\cos t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\right] \\ &= -r\cos t\ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) -r\sin t\ \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t)\right] \\ & -r\sin t\ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) +r\cos t\ \frac{\partial }{\partial t}\left[\frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t)\right] \\ &= -r\cos t \ \frac{\partial f}{\partial x}(r\cos t\,,\,r\sin t) \\ & +r^2\sin^2 t\ \frac{\partial^2 f}{\partial x^2}(r\cos t\,,\,r\sin t) -r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial y\partial x}(r\cos t\,,\,r\sin t) \\ &\phantom{=}-r\sin t \ \frac{\partial f}{\partial y}(r\cos t\,,\,r\sin t) \\ & -r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial x\partial y}(r\cos t\,,\,r\sin t) +r^2\cos^2 t\ \frac{\partial^2 f}{\partial y^2}(r\cos t\,,\,r\sin t) \\ &= -r\cos t \ \frac{\partial f}{\partial x} -r\sin t \ \frac{\partial f}{\partial y} \\ & +r^2\sin^2 t\ \frac{\partial^2 f}{\partial x^2} -2r^2\sin t\cos t\ \frac{\partial^2\ f}{\partial x\partial y} +r^2\cos^2 t\ \frac{\partial^2 f}{\partial y^2} \end{aligned}

with all of the partial derivatives of ff evaluated at (rcos⁡t , rsin⁡t)(r\cos t\,,\,r\sin t).

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 25번
# 다변수 연쇄법칙활용보통자동 분류
3.CLP-3 · 2.4절 · 16번대학 수준우리말 번역

z=f(x,y)z = f(x, y) 라 하자. 여기서 f(x,y)f(x, y) 는 연속인 이계 편도함수를 가지며,

fx(2,1)=5,fy(2,1)=−2,fxx(2,1)=2,fxy(2,1)=1,fyy(2,1)=−4f_x (2, 1) = 5, \qquad f_y(2, 1) =-2, \qquad f_{xx}(2, 1) = 2,\qquad f_{xy}(2, 1) = 1, \qquad f_{yy}(2, 1) = -4

이다.

x(t)=2t2x(t)=2t^2, y(t)=t3y(t)=t^3 이고 t=1t=1 일 때, d2dt2z(x(t),y(t)) \frac{\mathrm{d^2}}{\mathrm{d}{t}^2} z\big(x(t),y(t)\big) 의 값을 구하세요.

영어 원문 보기

Let z=f(x,y)z = f(x, y), where f(x,y)f(x, y) has continuous second-order partial derivatives, and

fx(2,1)=5,fy(2,1)=−2,fxx(2,1)=2,fxy(2,1)=1,fyy(2,1)=−4f_x (2, 1) = 5, \qquad f_y(2, 1) =-2, \qquad f_{xx}(2, 1) = 2,\qquad f_{xy}(2, 1) = 1, \qquad f_{yy}(2, 1) = -4

Find d2dt2z(x(t),y(t)) \frac{\mathrm{d^2}}{\mathrm{d}{t}^2} z\big(x(t),y(t)\big) when x(t)=2t2x(t)=2t^2, y(t)=t3y(t)=t^3 and t=1t=1.

답 쓰고 채점
정답·풀이 보기

x(t)=2t2x(t)=2t^2, y(t)=t3y(t)=t^3 에 대해 w(t)=z(x(t),y(t))=f(x(t),y(t))w(t) = z\big(x(t),y(t)\big) = f\big(x(t),y(t)\big) 라 하자. d2wdt2(1)\frac{\mathrm{d^2}w}{\mathrm{d}{t}^2}(1) 을 계산하면 된다. 연쇄 법칙에 의해

dwdt(t)=ddtf(x(t),y(t))=fx(x(t) , y(t)) dxdt(t)+fy(x(t) , y(t)) dydt(t)=4t fx(x(t) , y(t))+3t2 fy(x(t) , y(t))\begin{aligned} \frac{\mathrm{d}w}{\mathrm{d}t}(t)&= \frac{\mathrm{d}}{\mathrm{d}t} f\big(x(t),y(t)\big) \\ &= f_x(x(t)\,,\,y(t))\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) +f_y(x(t)\,,\,y(t))\,\frac{\mathrm{d}y}{\mathrm{d}t}(t) \\ &= 4t\,f_x(x(t)\,,\,y(t)) +3t^2\,f_y(x(t)\,,\,y(t)) \end{aligned}

이다. 선형성, 곱의 미분법, 연쇄 법칙에 의해

d2dt2f(x(t),y(t))=ddt[4t fx(x(t),y(t))]+ddt[3t2 fy(x(t),y(t))]=4 fx(x(t),y(t))+4tddt[fx(x(t),y(t))]+6t fy(x(t),y(t))+3t2ddt[fy(x(t),y(t))]=4 fx(2t2 , t3)+4t[fxx(x(t),y(t)) dxdt(t)+fxy(x(t),y(t)) dydt(t)]=+6t fy(2t2 , t3)+3t2[fyx(x(t),y(t)) dxdt(t)+fyy(x(t),y(t)) dydt(t)]=4 fx(2t2 , t3)+16t2 fxx(2t2 , t3)+12t3 fxy(2t2 , t3)=+6t fy(2t2 , t3)+12t3 fyx(2t2 , t3)+9t4 fyy(2t2 , t3)\begin{aligned} \frac{\mathrm{d^2}}{\mathrm{d}{t}^2} f\big(x(t),y(t)\big) &= \frac{\mathrm{d}}{\mathrm{d}t}\left[4t\,f_x\big(x(t),y(t)\big) \right] +\frac{\mathrm{d}}{\mathrm{d}t}\left[3t^2\,f_y\big(x(t),y(t)\big) \right] \\ &= 4\,f_x\big(x(t),y(t)\big) + 4t \frac{\mathrm{d}}{\mathrm{d}t}\left[f_x\big(x(t),y(t)\big) \right] \\& +6t\,f_y\big(x(t),y(t)\big) + 3t^2\frac{\mathrm{d}}{\mathrm{d}t}\left[f_y\big(x(t),y(t)\big) \right] \\ &= 4\,f_x(2t^2\,,\,t^3) + 4t\Big[f_{xx}\big(x(t),y(t)\big)\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) + f_{xy}\big(x(t),y(t)\big)\,\frac{\mathrm{d}y}{\mathrm{d}t}(t)\Big] \\ &\phantom{=} + 6t\,f_y(2t^2\,,\,t^3) + 3t^2\Big[f_{yx}\big(x(t),y(t)\big)\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) + f_{yy}\big(x(t),y(t)\big)\,\frac{\mathrm{d}y}{\mathrm{d}t}(t)\Big] \\ &= 4\,f_x(2t^2\,,\,t^3) + 16t^2\,f_{xx}(2t^2\,,\,t^3) + 12t^3\,f_{xy}(2t^2\,,\,t^3) \\ &\phantom{=} + 6t\,f_y(2t^2\,,\,t^3) + 12t^3\,f_{yx}(2t^2\,,\,t^3) + 9t^4\,f_{yy}(2t^2\,,\,t^3) \end{aligned}

이다. 특히 t=1t=1 일 때, fxy(2,1)=fyx(2,1)f_{xy}(2, 1)=f_{yx}(2, 1) 이므로

d2dt2f(x(t),y(t))∣t=1=4 (5)+16 (2)+12 (1)=+6 (−2)+12 (1)+9 (−4)=28\begin{aligned} \left.\frac{\mathrm{d^2}}{\mathrm{d}{t}^2} f\big(x(t),y(t)\big) \right|_{t=1} &= 4\,(5) + 16\,(2) + 12\,(1) \\ &\phantom{=} + 6\,(-2) + 12\,(1) + 9\,(-4) \\ &=28 \end{aligned}

이다.

원본 교재 풀이(영어)

Write w(t)=z(x(t),y(t))=f(x(t),y(t))w(t) = z\big(x(t),y(t)\big) = f\big(x(t),y(t)\big) with x(t)=2t2x(t)=2t^2, y(t)=t3y(t)=t^3. We are to compute d2wdt2(1)\frac{\mathrm{d^2}w}{\mathrm{d}{t}^2}(1). By the chain rule

dwdt(t)=ddtf(x(t),y(t))=fx(x(t) , y(t)) dxdt(t)+fy(x(t) , y(t)) dydt(t)=4t fx(x(t) , y(t))+3t2 fy(x(t) , y(t))\begin{aligned} \frac{\mathrm{d}w}{\mathrm{d}t}(t)&= \frac{\mathrm{d}}{\mathrm{d}t} f\big(x(t),y(t)\big) \\ &= f_x(x(t)\,,\,y(t))\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) +f_y(x(t)\,,\,y(t))\,\frac{\mathrm{d}y}{\mathrm{d}t}(t) \\ &= 4t\,f_x(x(t)\,,\,y(t)) +3t^2\,f_y(x(t)\,,\,y(t)) \end{aligned}

By linearity, the product rule, and the chain rule,

d2dt2f(x(t),y(t))=ddt[4t fx(x(t),y(t))]+ddt[3t2 fy(x(t),y(t))]=4 fx(x(t),y(t))+4tddt[fx(x(t),y(t))]+6t fy(x(t),y(t))+3t2ddt[fy(x(t),y(t))]=4 fx(2t2 , t3)+4t[fxx(x(t),y(t)) dxdt(t)+fxy(x(t),y(t)) dydt(t)]=+6t fy(2t2 , t3)+3t2[fyx(x(t),y(t)) dxdt(t)+fyy(x(t),y(t)) dydt(t)]=4 fx(2t2 , t3)+16t2 fxx(2t2 , t3)+12t3 fxy(2t2 , t3)=+6t fy(2t2 , t3)+12t3 fyx(2t2 , t3)+9t4 fyy(2t2 , t3)\begin{aligned} \frac{\mathrm{d^2}}{\mathrm{d}{t}^2} f\big(x(t),y(t)\big) &= \frac{\mathrm{d}}{\mathrm{d}t}\left[4t\,f_x\big(x(t),y(t)\big) \right] +\frac{\mathrm{d}}{\mathrm{d}t}\left[3t^2\,f_y\big(x(t),y(t)\big) \right] \\ &= 4\,f_x\big(x(t),y(t)\big) + 4t \frac{\mathrm{d}}{\mathrm{d}t}\left[f_x\big(x(t),y(t)\big) \right] \\& +6t\,f_y\big(x(t),y(t)\big) + 3t^2\frac{\mathrm{d}}{\mathrm{d}t}\left[f_y\big(x(t),y(t)\big) \right] \\ &= 4\,f_x(2t^2\,,\,t^3) + 4t\Big[f_{xx}\big(x(t),y(t)\big)\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) + f_{xy}\big(x(t),y(t)\big)\,\frac{\mathrm{d}y}{\mathrm{d}t}(t)\Big] \\ &\phantom{=} + 6t\,f_y(2t^2\,,\,t^3) + 3t^2\Big[f_{yx}\big(x(t),y(t)\big)\,\frac{\mathrm{d}x}{\mathrm{d}t}(t) + f_{yy}\big(x(t),y(t)\big)\,\frac{\mathrm{d}y}{\mathrm{d}t}(t)\Big] \\ &= 4\,f_x(2t^2\,,\,t^3) + 16t^2\,f_{xx}(2t^2\,,\,t^3) + 12t^3\,f_{xy}(2t^2\,,\,t^3) \\ &\phantom{=} + 6t\,f_y(2t^2\,,\,t^3) + 12t^3\,f_{yx}(2t^2\,,\,t^3) + 9t^4\,f_{yy}(2t^2\,,\,t^3) \end{aligned}

In particular, when t=1t=1, and since fxy(2,1)=fyx(2,1)f_{xy}(2, 1)=f_{yx}(2, 1),

d2dt2f(x(t),y(t))∣t=1=4 (5)+16 (2)+12 (1)=+6 (−2)+12 (1)+9 (−4)=28\begin{aligned} \left.\frac{\mathrm{d^2}}{\mathrm{d}{t}^2} f\big(x(t),y(t)\big) \right|_{t=1} &= 4\,(5) + 16\,(2) + 12\,(1) \\ &\phantom{=} + 6\,(-2) + 12\,(1) + 9\,(-4) \\ &=28 \end{aligned}

한 번 더 — 비슷한 문제 풀기CLP-3 · 2.4절 · 24번
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