Multivariable Calculus Quiz: Partial Derivatives
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Partial DerivativesQuestion 1 of 14

Let w=x3y+y2z2w = x^3 y + y^2 z^2, where x=scos(t)x = s \cos(t), y=ssin(t)y = s \sin(t), and z=stz = s t. What is the value of wt\frac{\partial w}{\partial t} when s=2s=2 and t=π2t=\frac{\pi}{2}?

00
8π28\pi^2
16π16\pi
16π-16\pi
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Multivariable Calculus Quiz

Multivariable Calculus Quiz: Partial Derivatives

Practice Partial Derivatives in Multivariable Calculus with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Partial Derivatives, giving you a quick way to practice the rules, question types, and explanations that matter most for Multivariable Calculus.

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Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

Let w=x3y+y2z2w = x^3 y + y^2 z^2, where x=scos(t)x = s \cos(t), y=ssin(t)y = s \sin(t), and z=stz = s t. What is the value of wt\frac{\partial w}{\partial t} when s=2s=2 and t=π2t=\frac{\pi}{2}?

  1. 00
  2. 8π28\pi^2
  3. 16π16\pi (correct answer)
  4. 16π-16\pi
Explanation: We use the chain rule for partial derivatives: wt=wxxt+wyyt+wzzt\frac{\partial w}{\partial t} = \frac{\partial w}{\partial x}\frac{\partial x}{\partial t} + \frac{\partial w}{\partial y}\frac{\partial y}{\partial t} + \frac{\partial w}{\partial z}\frac{\partial z}{\partial t}. First, find the point (x,y,z)(x,y,z) corresponding to (s,t)=(2,π/2)(s,t) = (2, \pi/2): x=2cos(π/2)=0x = 2 \cos(\pi/2) = 0 y=2sin(π/2)=2y = 2 \sin(\pi/2) = 2 z=2(π/2)=πz = 2(\pi/2) = \pi Next, compute the partial derivatives of ww with respect to x,y,zx, y, z and evaluate them at (0,2,π)(0, 2, \pi): wx=3x2y    3(0)2(2)=0\frac{\partial w}{\partial x} = 3x^2 y \implies 3(0)^2(2) = 0 wy=x3+2yz2    03+2(2)(π)2=4π2\frac{\partial w}{\partial y} = x^3 + 2yz^2 \implies 0^3 + 2(2)(\pi)^2 = 4\pi^2 wz=2y2z    2(2)2(π)=8π\frac{\partial w}{\partial z} = 2y^2z \implies 2(2)^2(\pi) = 8\pi Then, compute the partial derivatives of x,y,zx, y, z with respect to tt and evaluate them at (s,t)=(2,π/2)(s,t) = (2, \pi/2): xt=ssin(t)    2sin(π/2)=2\frac{\partial x}{\partial t} = -s \sin(t) \implies -2 \sin(\pi/2) = -2 yt=scos(t)    2cos(π/2)=0\frac{\partial y}{\partial t} = s \cos(t) \implies 2 \cos(\pi/2) = 0 zt=s    2\frac{\partial z}{\partial t} = s \implies 2 Finally, substitute these values into the chain rule formula: wt=(0)(2)+(4π2)(0)+(8π)(2)=0+0+16π=16π\frac{\partial w}{\partial t} = (0)(-2) + (4\pi^2)(0) + (8\pi)(2) = 0 + 0 + 16\pi = 16\pi. Distractor A is incorrect; it results from omitting the wzzt\frac{\partial w}{\partial z}\frac{\partial z}{\partial t} term from the chain rule. Distractor B is incorrect; it results from computing ws\frac{\partial w}{\partial s} instead of wt\frac{\partial w}{\partial t}. Distractor D is incorrect; it can result from swapping the derivative formulas for sine and cosine.

Question 2

Consider the function f(x,y)f(x, y) defined by f(x,y)=(x2+y2)sin(1x2+y2)f(x, y) = (x^2 + y^2) \sin\left(\frac{1}{\sqrt{x^2+y^2}}\right) for (x,y)(0,0)(x, y) \neq (0, 0) and f(0,0)=0f(0, 0) = 0. What is the value of the partial derivative fy(0,0)f_y(0, 0)?

  1. 00 (correct answer)
  2. 11
  3. 1-1
  4. It does not exist.
Explanation: To find the partial derivative at the origin for this piecewise function, we must use the limit definition of the partial derivative: fy(0,0)=limk0f(0,0+k)f(0,0)kf_y(0, 0) = \lim_{k \to 0} \frac{f(0, 0+k) - f(0, 0)}{k}. First, find the expression for f(0,k)f(0, k): f(0,k)=(02+k2)sin(102+k2)=k2sin(1k)f(0, k) = (0^2 + k^2) \sin\left(\frac{1}{\sqrt{0^2+k^2}}\right) = k^2 \sin\left(\frac{1}{|k|}\right). Now, substitute this into the limit definition, using f(0,0)=0f(0,0)=0: fy(0,0)=limk0k2sin(1/k)0k=limk0ksin(1/k)f_y(0, 0) = \lim_{k \to 0} \frac{k^2 \sin(1/|k|) - 0}{k} = \lim_{k \to 0} k \sin(1/|k|). We can evaluate this limit using the Squeeze Theorem. We know that for any value of k0k \neq 0, 1sin(1/k)1-1 \le \sin(1/|k|) \le 1. Multiplying the inequality by kk (and considering k>0k>0 and k<0k<0 which results in multiplying by k|k|): kksin(1/k)k-|k| \le k \sin(1/|k|) \le |k|. As k0k \to 0, both k-|k| and k|k| approach 0. Therefore, by the Squeeze Theorem, the limit must be 0. fy(0,0)=0f_y(0, 0) = 0. Distractor D is incorrect. A common mistake is to compute fy(x,y)f_y(x, y) using differentiation rules and then try to take the limit as (x,y)(0,0)(x, y) \to (0, 0). The resulting expression for fy(x,y)f_y(x, y) does not have a limit at the origin, but this does not mean the partial derivative at the origin does not exist. The limit definition must be used.

Question 3

Let f(u,v)f(u, v) be a function with continuous second partial derivatives. Define g(x,y)=f(x2y,xy)g(x, y) = f(x^2 y, x-y). Given that fu(0,0)=3f_u(0,0)=3, fv(0,0)=2f_v(0,0)=2, fuu(0,0)=1f_{uu}(0,0)=1, fuv(0,0)=1f_{uv}(0,0)=-1, and fvv(0,0)=4f_{vv}(0,0)=4, what is the value of gxy(0,0)g_{xy}(0,0)?

  1. 4-4 (correct answer)
  2. 3-3
  3. 4
  4. -1
Explanation: We need to compute gxy(0,0)=y(gx)g_{xy}(0,0) = \frac{\partial}{\partial y}(\frac{\partial g}{\partial x}) at (x,y)=(0,0)(x,y)=(0,0). Let u=x2yu = x^2 y and v=xyv = x-y. First, find gxg_x using the chain rule: gx=gx=fuux+fvvx=fu(u,v)(2xy)+fv(u,v)(1)g_x = \frac{\partial g}{\partial x} = \frac{\partial f}{\partial u}\frac{\partial u}{\partial x} + \frac{\partial f}{\partial v}\frac{\partial v}{\partial x} = f_u(u,v) \cdot (2xy) + f_v(u,v) \cdot (1). Next, differentiate gxg_x with respect to yy using the product rule and the chain rule: gxy=y(fu(u,v)2xy)+y(fv(u,v))g_{xy} = \frac{\partial}{\partial y} (f_u(u,v) \cdot 2xy) + \frac{\partial}{\partial y}(f_v(u,v)). For the first term: y(fu(u,v)2xy)=(yfu(u,v))(2xy)+fu(u,v)(y2xy)\frac{\partial}{\partial y} (f_u(u,v) \cdot 2xy) = (\frac{\partial}{\partial y} f_u(u,v)) \cdot (2xy) + f_u(u,v) \cdot (\frac{\partial}{\partial y} 2xy). Here, yfu(u,v)=fuuuy+fuvvy=fuu(x2)+fuv(1)\frac{\partial}{\partial y} f_u(u,v) = \frac{\partial f_u}{\partial u}\frac{\partial u}{\partial y} + \frac{\partial f_u}{\partial v}\frac{\partial v}{\partial y} = f_{uu} (x^2) + f_{uv} (-1). So the first term becomes (fuux2fuv)2xy+fu2x(f_{uu} x^2 - f_{uv}) \cdot 2xy + f_u \cdot 2x. For the second term: yfv(u,v)=fvuuy+fvvvy=fvu(x2)+fvv(1)\frac{\partial}{\partial y} f_v(u,v) = \frac{\partial f_v}{\partial u}\frac{\partial u}{\partial y} + \frac{\partial f_v}{\partial v}\frac{\partial v}{\partial y} = f_{vu} (x^2) + f_{vv} (-1). Combining everything: gxy=(fuux2fuv)2xy+2xfu+fvux2fvvg_{xy} = (f_{uu} x^2 - f_{uv}) 2xy + 2x f_u + f_{vu} x^2 - f_{vv}. Now, evaluate at (x,y)=(0,0)(x,y)=(0,0). At this point, u=020=0u = 0^2 \cdot 0 = 0 and v=00=0v = 0-0 = 0. We use the given derivative values at (u,v)=(0,0)(u,v)=(0,0). gxy(0,0)=(fuu(0,0)0fuv(0,0))0+2(0)fu(0,0)+fvu(0,0)0fvv(0,0)g_{xy}(0,0) = (f_{uu}(0,0) \cdot 0 - f_{uv}(0,0)) \cdot 0 + 2(0)f_u(0,0) + f_{vu}(0,0) \cdot 0 - f_{vv}(0,0). gxy(0,0)=0+0+0fvv(0,0)=fvv(0,0)g_{xy}(0,0) = 0 + 0 + 0 - f_{vv}(0,0) = -f_{vv}(0,0). Given fvv(0,0)=4f_{vv}(0,0) = 4, we have gxy(0,0)=4g_{xy}(0,0) = -4. Distractor B is incorrect, resulting from an error in applying the chain rule such as gx=fu+fvg_x=f_u+f_v. Distractor C is incorrect, resulting from a sign error such as miscalculating v/y=1\partial v / \partial y = -1. Distractor D is incorrect, corresponding to the value of fuv(0,0)f_{uv}(0,0).

Question 4

The temperature u(x,t)u(x, t) in a one-dimensional rod can be modeled by the heat equation ut=kuxxu_t = k u_{xx} for some constant kk. For which value of kk is u(x,t)=e4tcos(x2)u(x, t) = e^{-4t} \cos(\frac{x}{2}) a solution to this equation?

  1. 44
  2. 16-16
  3. 11
  4. 1616 (correct answer)
Explanation: When you encounter a partial differential equation like the heat equation and need to verify if a given function is a solution, you must substitute the function into the equation and check if both sides are equal. The heat equation is ut=kuxxu_t = k u_{xx}, so you need to find the partial derivatives of u(x,t)=e4tcos(x2)u(x,t) = e^{-4t}\cos(\frac{x}{2}). First, find utu_t by differentiating with respect to tt: ut=t[e4tcos(x2)]=4e4tcos(x2)u_t = \frac{\partial}{\partial t}[e^{-4t}\cos(\frac{x}{2})] = -4e^{-4t}\cos(\frac{x}{2}) Next, find uxxu_{xx} by differentiating twice with respect to xx: ux=x[e4tcos(x2)]=e4t(sin(x2))12=12e4tsin(x2)u_x = \frac{\partial}{\partial x}[e^{-4t}\cos(\frac{x}{2})] = e^{-4t} \cdot (-\sin(\frac{x}{2})) \cdot \frac{1}{2} = -\frac{1}{2}e^{-4t}\sin(\frac{x}{2}) uxx=x[12e4tsin(x2)]=12e4tcos(x2)12=14e4tcos(x2)u_{xx} = \frac{\partial}{\partial x}[-\frac{1}{2}e^{-4t}\sin(\frac{x}{2})] = -\frac{1}{2}e^{-4t} \cdot \cos(\frac{x}{2}) \cdot \frac{1}{2} = -\frac{1}{4}e^{-4t}\cos(\frac{x}{2}) Substituting into the heat equation: 4e4tcos(x2)=k(14e4tcos(x2))-4e^{-4t}\cos(\frac{x}{2}) = k \cdot (-\frac{1}{4}e^{-4t}\cos(\frac{x}{2})) Solving for kk: 4=k(14)-4 = k \cdot (-\frac{1}{4}), so k=16k = 16. This confirms answer (D). Looking at the wrong answers: (A) gives k=4k = 4, which would require uxx=e4tcos(x2)u_{xx} = -e^{-4t}\cos(\frac{x}{2}). (B) gives k=16k = -16, which would make the right side positive. (C) gives k=1k = 1, requiring uxx=4e4tcos(x2)u_{xx} = -4e^{-4t}\cos(\frac{x}{2}). Remember: always compute both required partial derivatives carefully, paying close attention to the chain rule when differentiating composite functions.

Question 5

Let f(x,y)=ln(x+e2y)f(x, y) = \ln(x + e^{2y}). What is the value of the third-order partial derivative fxxy(0,0)f_{xxy}(0, 0)?

  1. 4 (correct answer)
  2. 2
  3. -4
  4. 0
Explanation: We compute the partial derivatives sequentially: fxf_x, then fxxf_{xx}, then fxxyf_{xxy}.
  1. Find fxf_x: fx=xln(x+e2y)=1x+e2yf_x = \frac{\partial}{\partial x} \ln(x + e^{2y}) = \frac{1}{x + e^{2y}}.
  2. Find fxxf_{xx}: fxx=x(x+e2y)1=1(x+e2y)21=1(x+e2y)2f_{xx} = \frac{\partial}{\partial x} (x + e^{2y})^{-1} = -1(x + e^{2y})^{-2} \cdot 1 = -\frac{1}{(x + e^{2y})^2}.
  3. Find fxxyf_{xxy}: fxxy=y((x+e2y)2)f_{xxy} = \frac{\partial}{\partial y} \left( -(x + e^{2y})^{-2} \right). Using the chain rule: fxxy=(2)(x+e2y)3y(x+e2y)=2(x+e2y)3(2e2y)=4e2y(x+e2y)3f_{xxy} = -(-2)(x + e^{2y})^{-3} \cdot \frac{\partial}{\partial y}(x + e^{2y}) = 2(x + e^{2y})^{-3} \cdot (2e^{2y}) = \frac{4e^{2y}}{(x + e^{2y})^3}.
  4. Evaluate at the point (0,0)(0, 0): fxxy(0,0)=4e2(0)(0+e2(0))3=4e0(0+e0)3=4(1)(1)3=4f_{xxy}(0, 0) = \frac{4e^{2(0)}}{(0 + e^{2(0)})^3} = \frac{4e^0}{(0 + e^0)^3} = \frac{4(1)}{(1)^3} = 4.
Distractor B is incorrect; this results from forgetting the factor of 2 from the chain rule when differentiating e2ye^{2y} in the final step. Distractor C is incorrect; this results from a sign error, likely when differentiating (x+e2y)2(x+e^{2y})^{-2}. Distractor D is incorrect; this could result from treating e2ye^{2y} as a constant with respect to yy.

Question 6

The ideal gas law can be written as P=nRTVP = \frac{nRT}{V}, where nn and RR are constants. This law defines relationships between pressure (PP), volume (VV), and temperature (TT). What is the value of the product (PV)T(VT)P(TP)V\left(\frac{\partial P}{\partial V}\right)_T \left(\frac{\partial V}{\partial T}\right)_P \left(\frac{\partial T}{\partial P}\right)_V?

  1. 1
  2. 1-1 (correct answer)
  3. 0
  4. n2R2n^2 R^2
Explanation: When you encounter partial derivatives with subscripts in thermodynamics, you're dealing with a fundamental relationship in multivariable calculus. The subscripts indicate which variable is held constant during differentiation, and this product represents a cyclic chain of partial derivatives. To find each partial derivative from the ideal gas law P=nRTVP = \frac{nRT}{V}, treat the subscripted variable as constant. First, (PV)T=nRTV2\left(\frac{\partial P}{\partial V}\right)_T = -\frac{nRT}{V^2} since pressure decreases as volume increases at constant temperature. For the second term, rearrange to solve for VV: V=nRTPV = \frac{nRT}{P}, so (VT)P=nRP\left(\frac{\partial V}{\partial T}\right)_P = \frac{nR}{P}. For the third term, rearrange to solve for TT: T=PVnRT = \frac{PV}{nR}, so (TP)V=VnR\left(\frac{\partial T}{\partial P}\right)_V = \frac{V}{nR}. Now multiply all three: (nRTV2)(nRP)(VnR)=(nR)2TVV2PnR=nRTVP\left(-\frac{nRT}{V^2}\right) \cdot \left(\frac{nR}{P}\right) \cdot \left(\frac{V}{nR}\right) = -\frac{(nR)^2TV}{V^2 \cdot P \cdot nR} = -\frac{nRT}{VP}. Since P=nRTVP = \frac{nRT}{V}, we have nRTVP=1\frac{nRT}{VP} = 1, making our product equal to 1-1. Choice (A) gives 1, which ignores the negative sign from the inverse relationship between pressure and volume. Choice (C) suggests no relationship exists, which is impossible for related thermodynamic variables. Choice (D) incorrectly assumes the constants don't cancel out. Remember: cyclic partial derivative products for three interdependent variables always equal 1-1 – this is a universal theorem in multivariable calculus that applies beyond just thermodynamics.

Question 7

Consider the function h(x,y)=x3+y33axyh(x,y) = x^3 + y^3 - 3axy where a>0a > 0. At the critical point (a,a)(a,a), what is the value of 2hxy\frac{\partial^2 h}{\partial x \partial y}?

  1. 3a3a
  2. 3-3
  3. 33
  4. 3a-3a (correct answer)
Explanation: When you encounter mixed partial derivatives in multivariable calculus, remember that you're looking at how the rate of change in one variable depends on changes in another variable. The notation 2hxy\frac{\partial^2 h}{\partial x \partial y} means you first take the partial derivative with respect to yy, then with respect to xx. Let's work through this systematically. Starting with h(x,y)=x3+y33axyh(x,y) = x^3 + y^3 - 3axy, first find hy\frac{\partial h}{\partial y}: hy=3y23ax\frac{\partial h}{\partial y} = 3y^2 - 3ax Now take the partial derivative of this result with respect to xx: 2hxy=x(3y23ax)=3a\frac{\partial^2 h}{\partial x \partial y} = \frac{\partial}{\partial x}(3y^2 - 3ax) = -3a Notice that this mixed partial derivative is constant — it doesn't depend on the values of xx or yy, so it has the same value at every point, including the critical point (a,a)(a,a). Looking at the wrong answers: Choice A (3a3a) has the wrong sign — you might get this if you mistakenly wrote +3ax+3ax instead of 3ax-3ax in the original function. Choice B (3-3) omits the parameter aa entirely, suggesting confusion about which terms contribute to the mixed partial. Choice C (33) combines both errors — wrong sign and missing the parameter aa. Study tip: For mixed partials, work step-by-step and pay careful attention to signs and coefficients. Also remember that for functions with continuous second derivatives, 2hxy=2hyx\frac{\partial^2 h}{\partial x \partial y} = \frac{\partial^2 h}{\partial y \partial x} — you can verify your answer by computing it both ways.

Question 8

If h(x,y)=exysin(x+y)h(x,y) = e^{xy} \sin(x+y) and hx(0,π)=a\frac{\partial h}{\partial x}(0,\pi) = a, what is hy(π,0)\frac{\partial h}{\partial y}(\pi,0)?

  1. aa (correct answer)
  2. a-a
  3. πa\pi a
  4. a/πa/\pi
Explanation: Using the product rule: hx=yexysin(x+y)+exycos(x+y)\frac{\partial h}{\partial x} = ye^{xy}\sin(x+y) + e^{xy}\cos(x+y). At (0,π)(0,\pi): a=πe0sin(π)+e0cos(π)=π(0)+1(1)=1a = \pi e^0 \sin(\pi) + e^0 \cos(\pi) = \pi(0) + 1(-1) = -1. For hy=xexysin(x+y)+exycos(x+y)\frac{\partial h}{\partial y} = xe^{xy}\sin(x+y) + e^{xy}\cos(x+y). At (π,0)(\pi,0): hy(π,0)=πe0sin(π)+e0cos(π)=π(0)+1(1)=1=a\frac{\partial h}{\partial y}(\pi,0) = \pi e^0 \sin(\pi) + e^0 \cos(\pi) = \pi(0) + 1(-1) = -1 = a.

Question 9

Let g(x,y)=f(x2y2,2xy)g(x,y) = f(x^2-y^2, 2xy) where ff is a differentiable function of two variables. If fu(1,0)=3f_u(1,0) = 3 and fv(1,0)=2f_v(1,0) = -2, what is gy\frac{\partial g}{\partial y} at the point (1,0)(1,0)?

  1. 6-6
  2. 4-4 (correct answer)
  3. 44
  4. 66
Explanation: Let u=x2y2u = x^2 - y^2 and v=2xyv = 2xy. Using the chain rule: gy=fuuy+fvvy\frac{\partial g}{\partial y} = f_u \frac{\partial u}{\partial y} + f_v \frac{\partial v}{\partial y}. We have uy=2y\frac{\partial u}{\partial y} = -2y and vy=2x\frac{\partial v}{\partial y} = 2x. At the point (x,y)=(1,0)(x,y) = (1,0), we have u=10=1u = 1-0 = 1 and v=0v = 0, so we use fu(1,0)=3f_u(1,0) = 3 and fv(1,0)=2f_v(1,0) = -2. Also, uy=2(0)=0\frac{\partial u}{\partial y} = -2(0) = 0 and vy=2(1)=2\frac{\partial v}{\partial y} = 2(1) = 2. Therefore, gy=3(0)+(2)(2)=4\frac{\partial g}{\partial y} = 3(0) + (-2)(2) = -4.

Question 10

Let f(x,y)=xcos(y)+yexyf(x, y) = x \cos(y) + y e^{xy}. What is the value of the third-order partial derivative fyxy(0,π)f_{yxy}(0, \pi)?

  1. 1
  2. 2
  3. 3 (correct answer)
  4. 0
Explanation: To find fyxyf_{yxy}, we compute the partial derivatives in order. First with respect to yy, then xx, then yy again.
  1. Differentiate with respect to yy: fy=y(xcos(y)+yexy)=xsin(y)+(1exy+yxexy)=xsin(y)+exy(1+xy)f_y = \frac{\partial}{\partial y}(x \cos(y) + y e^{xy}) = -x \sin(y) + (1 \cdot e^{xy} + y \cdot x e^{xy}) = -x \sin(y) + e^{xy}(1+xy).
  2. Differentiate fyf_y with respect to xx: fyx=x(xsin(y)+exy+xyexy)=sin(y)+yexy+(1yexy+xy2exy)=sin(y)+2yexy+xy2exy=sin(y)+exy(2y+xy2)f_{yx} = \frac{\partial}{\partial x}(-x \sin(y) + e^{xy} + xye^{xy}) = -\sin(y) + y e^{xy} + (1 \cdot ye^{xy} + x \cdot y^2 e^{xy}) = -\sin(y) + 2ye^{xy} + xy^2e^{xy} = -\sin(y) + e^{xy}(2y+xy^2).
  3. Differentiate fyxf_{yx} with respect to yy: fyxy=y(sin(y)+exy(2y+xy2))f_{yxy} = \frac{\partial}{\partial y}(-\sin(y) + e^{xy}(2y+xy^2)). Using the product rule on the second term: fyxy=cos(y)+[(yexy)(2y+xy2)+exy(y(2y+xy2))]f_{yxy} = -\cos(y) + [(\frac{\partial}{\partial y}e^{xy})(2y+xy^2) + e^{xy}(\frac{\partial}{\partial y}(2y+xy^2))] fyxy=cos(y)+[xexy(2y+xy2)+exy(2+2xy)]f_{yxy} = -\cos(y) + [x e^{xy}(2y+xy^2) + e^{xy}(2+2xy)].
  4. Evaluate at the point (0,π)(0, \pi): fyxy(0,π)=cos(π)+[0e0(2π+0)+e0(2+0)]=(1)+0+1(2)=1+2=3f_{yxy}(0, \pi) = -\cos(\pi) + [0 \cdot e^0(2\pi+0) + e^0(2+0)] = -(-1) + 0 + 1(2) = 1 + 2 = 3.
Distractor A is incorrect; a value of 1 can result from forgetting the second term of the product rule in the final differentiation step. Distractor B is incorrect; a value of 2 can result from incorrectly differentiating yexyy e^{xy} as just exye^{xy} in the first step. Distractor D is incorrect; a value of 0 can result from evaluating a derivative at the point too early in the process and then differentiating the resulting constant.

Question 11

The equation x2z3+ysin(πz)=3x^2 z^3 + y \sin(\pi z) = -3 defines zz implicitly as a function of xx and yy. What is the value of zx\frac{\partial z}{\partial x} at the point (2,1,1)(2, -1, -1)?

  1. 413\frac{4}{13}
  2. 412+π\frac{-4}{12 + \pi}
  3. 12+π4\frac{12 + \pi}{4}
  4. 412+π\frac{4}{12 + \pi} (correct answer)
Explanation: We use the formula for implicit differentiation for a function F(x,y,z)=0F(x, y, z) = 0, which is zx=FxFz\frac{\partial z}{\partial x} = -\frac{F_x}{F_z}. First, define F(x,y,z)=x2z3+ysin(πz)+3=0F(x, y, z) = x^2 z^3 + y \sin(\pi z) + 3 = 0. Next, compute the partial derivatives FxF_x and FzF_z: Fx=x(x2z3+ysin(πz)+3)=2xz3F_x = \frac{\partial}{\partial x}(x^2 z^3 + y \sin(\pi z) + 3) = 2xz^3. Fz=z(x2z3+ysin(πz)+3)=3x2z2+ycos(πz)π=3x2z2+πycos(πz)F_z = \frac{\partial}{\partial z}(x^2 z^3 + y \sin(\pi z) + 3) = 3x^2z^2 + y \cos(\pi z) \cdot \pi = 3x^2z^2 + \pi y \cos(\pi z). Now, evaluate these partial derivatives at the point (x,y,z)=(2,1,1)(x, y, z) = (2, -1, -1): Fx(2,1,1)=2(2)(1)3=4F_x(2, -1, -1) = 2(2)(-1)^3 = -4. Fz(2,1,1)=3(22)(1)2+π(1)cos(π)=3(4)(1)π(1)=12+πF_z(2, -1, -1) = 3(2^2)(-1)^2 + \pi(-1)\cos(-\pi) = 3(4)(1) - \pi(-1) = 12 + \pi. Finally, substitute these values into the formula: zx=FxFz=412+π=412+π\frac{\partial z}{\partial x} = -\frac{F_x}{F_z} = -\frac{-4}{12 + \pi} = \frac{4}{12 + \pi}. Distractor A is incorrect; it results from forgetting the chain rule factor of π\pi when differentiating sin(πz)\sin(\pi z). Distractor B is incorrect; it results from a sign error in the implicit differentiation formula. Distractor C is incorrect; it results from inverting the formula to Fz/Fx-F_z/F_x.

Question 12

Let f(x,y)=x3+y3xyf(x, y) = \frac{x^3 + y^3}{x-y} for xyx \neq y. Which of the following partial differential equations does the function ff satisfy?

  1. xfx+yfy=3fx f_x + y f_y = 3f
  2. xfx+yfy=2fx f_x + y f_y = 2f (correct answer)
  3. xfxyfy=fx f_x - y f_y = f
  4. fx+fy=0f_x + f_y = 0
Explanation: The function f(x,y)f(x, y) is a homogeneous function. A function is homogeneous of degree kk if f(tx,ty)=tkf(x,y)f(tx, ty) = t^k f(x, y) for any t>0t > 0. For the given function: f(tx,ty)=(tx)3+(ty)3txty=t3(x3+y3)t(xy)=t2x3+y3xy=t2f(x,y)f(tx, ty) = \frac{(tx)^3 + (ty)^3}{tx-ty} = \frac{t^3(x^3 + y^3)}{t(x-y)} = t^2 \frac{x^3 + y^3}{x-y} = t^2 f(x, y). Thus, ff is a homogeneous function of degree k=2k=2. Euler's Homogeneous Function Theorem states that if ff is a differentiable homogeneous function of degree kk, then it satisfies the partial differential equation xfx+yfy=kfx f_x + y f_y = kf. For this function, with k=2k=2, the equation is xfx+yfy=2fx f_x + y f_y = 2f. This provides a direct solution without computing the derivatives. Direct computation of fxf_x and fyf_y using the quotient rule would be lengthy but would yield the same result. Distractor A is incorrect; k=3k=3 corresponds to the degree of the numerator, not the overall function. Distractor C and D are incorrect alternative differential equations that are not satisfied by this function.

Question 13

If z=ex+ycos(xy)z = e^{x+y}\cos(x-y) and zx+zy=kex+ycos(xy)\frac{\partial z}{\partial x} + \frac{\partial z}{\partial y} = ke^{x+y}\cos(x-y) for some constant kk, what is the value of kk?

  1. 00
  2. 11
  3. 22 (correct answer)
  4. 44
Explanation: Using the product rule: zx=ex+ycos(xy)+ex+y(sin(xy))=ex+y[cos(xy)sin(xy)]\frac{\partial z}{\partial x} = e^{x+y}\cos(x-y) + e^{x+y}(-\sin(x-y)) = e^{x+y}[\cos(x-y) - \sin(x-y)]. Similarly: zy=ex+ycos(xy)+ex+y(sin(xy))(1)=ex+y[cos(xy)+sin(xy)]\frac{\partial z}{\partial y} = e^{x+y}\cos(x-y) + e^{x+y}(-\sin(x-y))(-1) = e^{x+y}[\cos(x-y) + \sin(x-y)]. Adding these: zx+zy=ex+y[cos(xy)sin(xy)+cos(xy)+sin(xy)]=ex+y[2cos(xy)]=2ex+ycos(xy)\frac{\partial z}{\partial x} + \frac{\partial z}{\partial y} = e^{x+y}[\cos(x-y) - \sin(x-y) + \cos(x-y) + \sin(x-y)] = e^{x+y}[2\cos(x-y)] = 2e^{x+y}\cos(x-y). Therefore, k=2k = 2.

Question 14

Consider the function g(x,y)=ln(x2+y2)+arctan(y/x)g(x,y) = \ln(x^2 + y^2) + \arctan(y/x) for x>0x > 0. What is 2gx2+2gy2\frac{\partial^2 g}{\partial x^2} + \frac{\partial^2 g}{\partial y^2} at the point (1,1)(1,1)?

  1. 1-1
  2. 00 (correct answer)
  3. 11
  4. 22
Explanation: For ln(x2+y2)\ln(x^2 + y^2): x=2xx2+y2\frac{\partial}{\partial x} = \frac{2x}{x^2+y^2}, so 2x2=2(x2+y2)2x(2x)(x2+y2)2=2y22x2(x2+y2)2\frac{\partial^2}{\partial x^2} = \frac{2(x^2+y^2) - 2x(2x)}{(x^2+y^2)^2} = \frac{2y^2-2x^2}{(x^2+y^2)^2}. Similarly, 2y2=2x22y2(x2+y2)2\frac{\partial^2}{\partial y^2} = \frac{2x^2-2y^2}{(x^2+y^2)^2}. For arctan(y/x)\arctan(y/x): x=11+(y/x)2yx2=yx2+y2\frac{\partial}{\partial x} = \frac{1}{1+(y/x)^2} \cdot \frac{-y}{x^2} = \frac{-y}{x^2+y^2}, so 2x2=2xy(x2+y2)2\frac{\partial^2}{\partial x^2} = \frac{2xy}{(x^2+y^2)^2}. And 2y2=2xy(x2+y2)2\frac{\partial^2}{\partial y^2} = \frac{-2xy}{(x^2+y^2)^2}. Adding all second partials: 2y22x2(x2+y2)2+2x22y2(x2+y2)2+2xy(x2+y2)2+2xy(x2+y2)2=0\frac{2y^2-2x^2}{(x^2+y^2)^2} + \frac{2x^2-2y^2}{(x^2+y^2)^2} + \frac{2xy}{(x^2+y^2)^2} + \frac{-2xy}{(x^2+y^2)^2} = 0.