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Problem Set | Mathematics - Wyatt's Notes

Compute f\nabla f for f(x,y,z)=ln(x2+y2)+exzf(x,y,z) = \ln(x^2 + y^2) + e^{xz} and evaluate at (1,0,0)(1, 0, 0).

Solution

fx=2xx2+y2+zexzf_x = \frac{2x}{x^2+y^2} + ze^{xz}, fy=2yx2+y2f_y = \frac{2y}{x^2+y^2}, fz=xexzf_z = xe^{xz}.

At (1,0,0)(1,0,0): fx=2+0=2f_x = 2 + 0 = 2, fy=0f_y = 0, fz=1f_z = 1.

f(1,0,0)=(2,0,1)\nabla f(1,0,0) = (2, 0, 1).

If you get this wrong, revise: Section 1.4 The Gradient.

Let f(x,y)=x33xy2+y3f(x,y) = x^3 - 3xy^2 + y^3. Find all critical points and classify them using the second Derivative test.

Solution

fx=3x23y2=0f_x = 3x^2 - 3y^2 = 0 and fy=6xy+3y2=3y(2x+y)=0f_y = -6xy + 3y^2 = 3y(-2x + y) = 0.

From fx=0f_x = 0: x2=y2x^2 = y^2 So y=±xy = \pm x.

If y=xy = x: fy=3x(2x+x)=3x2=0f_y = 3x(-2x + x) = -3x^2 = 0 So x=0x = 0. Point: (0,0)(0,0).

If y=xy = -x: fy=3(x)(2x+x)=9x2=0f_y = 3(-x)(2x + x) = -9x^2 = 0 So x=0x = 0. Point: (0,0)(0,0).

The only critical point is (0,0)(0, 0). Now fxx=6xf_{xx} = 6x, fyy=6x+6yf_{yy} = -6x + 6y, fxy=6yf_{xy} = -6y.

At (0,0)(0,0): D=000=0D = 0 \cdot 0 - 0 = 0. The second derivative test is inconclusive.

To classify, note f(x,y)=x33xy2+y3f(x, y) = x^3 - 3xy^2 + y^3. Along y=0y = 0: f(x,0)=x3f(x, 0) = x^3Which changes sign At 00. Along x=yx = y: f(x,x)=x3f(x, x) = -x^3Which also changes sign but with opposite sign. Since the behaviour differs by direction, (0,0)(0, 0) is a saddle point.

If you get this wrong, revise: Section 4.2 Second Derivative Test.

Find the directional derivative of f(x,y)=excosyf(x,y) = e^x \cos y at (0,π/2)(0, \pi/2) in the direction v=(1,1)\mathbf{v} = (1, 1).

Solution

Normalise: v=2\lVert \mathbf{v} \rVert = \sqrt{2} So u=(1/2,1/2)\mathbf{u} = (1/\sqrt{2},\, 1/\sqrt{2}).

fx=excosyf_x = e^x \cos y, fy=exsinyf_y = -e^x \sin y.

f(0,π/2)=(e0cos(π/2),e0sin(π/2))=(0,1)\nabla f(0, \pi/2) = (e^0 \cos(\pi/2),\, -e^0 \sin(\pi/2)) = (0, -1).

Duf=(0,1)(1/2,1/2)=12D_{\mathbf{u}} f = (0, -1) \cdot (1/\sqrt{2},\, 1/\sqrt{2}) = -\frac{1}{\sqrt{2}}

If you get this wrong, revise: Section 1.5 Directional Derivatives.

If x2z+y2z2=5x^2 z + y^2 z^2 = 5Find zx\frac{\partial z}{\partial x} at (1,1,1)(1, 1, 1).

Solution

Let F(x,y,z)=x2z+y2z25F(x,y,z) = x^2 z + y^2 z^2 - 5. Then Fx=2xzF_x = 2xz, Fy=2yz2F_y = 2yz^2, Fz=x2+2y2zF_z = x^2 + 2y^2 z.

At (1,1,1)(1,1,1): Fx=2F_x = 2, Fz=1+2=3F_z = 1 + 2 = 3.

zx=FxFz=23\frac{\partial z}{\partial x} = -\frac{F_x}{F_z} = -\frac{2}{3}

If you get this wrong, revise: Section 1.9 Implicit Differentiation.

Write the second-order Taylor expansion of f(x,y)=sin(x+y)f(x,y) = \sin(x + y) at (0,0)(0, 0).

Solution

f(0,0)=0f(0,0) = 0, fx=cos(x+y)f_x = \cos(x+y), fy=cos(x+y)f_y = \cos(x+y) So fx(0,0)=fy(0,0)=1f_x(0,0) = f_y(0,0) = 1.

fxx=sin(x+y)f_{xx} = -\sin(x+y), fxy=sin(x+y)f_{xy} = -\sin(x+y), fyy=sin(x+y)f_{yy} = -\sin(x+y) So fxx(0,0)=fxy(0,0)=fyy(0,0)=0f_{xx}(0,0) = f_{xy}(0,0) = f_{yy}(0,0) = 0.

f(x,y)=0+x+y+12(0x2+20xy+0y2)+R2=x+y+R2f(x,y) = 0 + x + y + \frac{1}{2}(0 \cdot x^2 + 2 \cdot 0 \cdot xy + 0 \cdot y^2) + R_2 = x + y + R_2

Where R2=O(x3+y3)R_2 = O(\lvert x \rvert^3 + \lvert y \rvert^3).

If you get this wrong, revise: Section 1.10 Taylor”s Theorem.

Evaluate D(x+y)dA\iint_D (x + y)\, dA where DD is bounded by y=xy = x and y=x2y = x^2.

Solution

The curves intersect when x=x2x = x^2I.e., x(x1)=0x(x-1) = 0 So x=0x = 0 and x=1x = 1. For x(0,1)x \in (0,1) x2<xx^2 \lt x So D=(x,y):0x1,x2yxD = \\{(x,y) : 0 \leq x \leq 1,\, x^2 \leq y \leq x\\}.

D(x+y)dA=01x2x(x+y)dydx=01[xy+y22]x2xdx\iint_D (x + y)\, dA = \int_0^1 \int_{x^2}^x (x + y)\, dy\, dx = \int_0^1 \left[xy + \frac{y^2}{2}\right]_{x^2}^x\, dx

=01(x2+x22x3x42)dx=01(3x22x3x42)dx= \int_0^1 \left(x^2 + \frac{x^2}{2} - x^3 - \frac{x^4}{2}\right)\, dx = \int_0^1 \left(\frac{3x^2}{2} - x^3 - \frac{x^4}{2}\right)\, dx

=[x32x44x510]01=1214110=105220=320= \left[\frac{x^3}{2} - \frac{x^4}{4} - \frac{x^5}{10}\right]_0^1 = \frac{1}{2} - \frac{1}{4} - \frac{1}{10} = \frac{10 - 5 - 2}{20} = \frac{3}{20}

If you get this wrong, revise: Section 2.2 General Regions.

Evaluate ExdV\iiint_E x\, dV where EE is the region bounded by the coordinate planes and x+y+z=1x + y + z = 1.

Solution

E=(x,y,z):0x1,0y1x,0z1xyE = \\{(x,y,z) : 0 \leq x \leq 1,\, 0 \leq y \leq 1-x,\, 0 \leq z \leq 1-x-y\\}.

ExdV=0101x01xyxdzdydx=0101xx(1xy)dydx\iiint_E x\, dV = \int_0^1 \int_0^{1-x} \int_0^{1-x-y} x\, dz\, dy\, dx = \int_0^1 \int_0^{1-x} x(1-x-y)\, dy\, dx

=01x[(1x)yy22]01xdx=01x(1x)22dx= \int_0^1 x\left[(1-x)y - \frac{y^2}{2}\right]_0^{1-x}\, dx = \int_0^1 x \cdot \frac{(1-x)^2}{2}\, dx

=1201x(12x+x2)dx=1201(x2x2+x3)dx= \frac{1}{2}\int_0^1 x(1 - 2x + x^2)\, dx = \frac{1}{2}\int_0^1 (x - 2x^2 + x^3)\, dx

=12[x222x33+x44]01=12[1223+14]=1268+312=124= \frac{1}{2}\left[\frac{x^2}{2} - \frac{2x^3}{3} + \frac{x^4}{4}\right]_0^1 = \frac{1}{2}\left[\frac{1}{2} - \frac{2}{3} + \frac{1}{4}\right] = \frac{1}{2} \cdot \frac{6 - 8 + 3}{12} = \frac{1}{24}

If you get this wrong, revise: Section 2.3 Triple Integrals.

Evaluate Dex2+y2dA\iint_D e^{x^2+y^2}\, dA where D=(x,y):1x2+y24D = \\{(x,y) : 1 \leq x^2 + y^2 \leq 4\\}.

Solution

Use polar coordinates: 1r21 \leq r \leq 2, 0θ2π0 \leq \theta \leq 2\pi.

Dex2+y2dA=02π12er2rdrdθ=2π12rer2dr\iint_D e^{x^2+y^2}\, dA = \int_0^{2\pi} \int_1^2 e^{r^2}\, r\, dr\, d\theta = 2\pi \int_1^2 r e^{r^2}\, dr

Let u=r2u = r^2, du=2rdrdu = 2r\, dr:

=2π1214eudu=π(e4e)= 2\pi \cdot \frac{1}{2}\int_1^4 e^u\, du = \pi(e^4 - e)

If you get this wrong, revise: Section 2.4 Change of Variables.

Evaluate EzdV\iiint_E z\, dV where EE is the solid cone zx2+y2z \leq \sqrt{x^2 + y^2}, 0z10 \leq z \leq 1.

Solution

Use cylindrical coordinates. The cone z=rz = r intersects z=1z = 1 at r=1r = 1. E=(r,θ,z):0r1,0θ2π,rz1E' = \\{(r, \theta, z) : 0 \leq r \leq 1,\, 0 \leq \theta \leq 2\pi,\, r \leq z \leq 1\\}.

EzdV=02π01r1zrdzdrdθ=2π01r[z22]r1dr\iiint_E z\, dV = \int_0^{2\pi} \int_0^1 \int_r^1 z\, r\, dz\, dr\, d\theta = 2\pi \int_0^1 r\left[\frac{z^2}{2}\right]_r^1\, dr

=2π01r2(1r2)dr=π01(rr3)dr=π[r22r44]01=π14=π4= 2\pi \int_0^1 \frac{r}{2}(1 - r^2)\, dr = \pi \int_0^1 (r - r^3)\, dr = \pi\left[\frac{r^2}{2} - \frac{r^4}{4}\right]_0^1 = \pi \cdot \frac{1}{4} = \frac{\pi}{4}

If you get this wrong, revise: Section 2.5 Coordinate System Worked Examples.

Use Green’s theorem to evaluate C(3yesinx)dx+(7x+y4+1)dy\oint_C (3y - e^{\sin x})\, dx + (7x + \sqrt{y^4 + 1})\, dy Where CC is the circle x2+y2=9x^2 + y^2 = 9 traversed counterclockwise.

Solution

P=3yesinxP = 3y - e^{\sin x}, Q=7x+y4+1Q = 7x + \sqrt{y^4 + 1}.

Qx=7,Py=3\frac{\partial Q}{\partial x} = 7, \quad \frac{\partial P}{\partial y} = 3

By Green’s theorem:

CPdx+Qdy=D(73)dA=4π9=36π\oint_C P\, dx + Q\, dy = \iint_D (7 - 3)\, dA = 4 \cdot \pi \cdot 9 = 36\pi

If you get this wrong, revise: Section 3.3 Green’s Theorem.

Compute the curl and divergence of F=(yz,xz,xy)\mathbf{F} = (yz,\, xz,\, xy).

Solution

Curl:

×F=((xy)y(xz)z,(yz)z(xy)x,(xz)x(yz)y)\nabla \times \mathbf{F} = \left(\frac{\partial (xy)}{\partial y} - \frac{\partial (xz)}{\partial z},\, \frac{\partial (yz)}{\partial z} - \frac{\partial (xy)}{\partial x},\, \frac{\partial (xz)}{\partial x} - \frac{\partial (yz)}{\partial y}\right)

=(xx,yy,zz)=0= (x - x,\, y - y,\, z - z) = \mathbf{0}

Divergence:

F=(yz)x+(xz)y+(xy)z=0+0+0=0\nabla \cdot \mathbf{F} = \frac{\partial (yz)}{\partial x} + \frac{\partial (xz)}{\partial y} + \frac{\partial (xy)}{\partial z} = 0 + 0 + 0 = 0

Since the curl is zero and the domain is connected, F\mathbf{F} is conservative. Indeed, F=(xyz)\mathbf{F} = \nabla(xyz).

If you get this wrong, revise: Section 3.4 Curl and Divergence.

Use Stokes’ theorem to evaluate CFdr\oint_C \mathbf{F} \cdot d\mathbf{r} where F=(2y,z,x)\mathbf{F} = (2y,\, -z,\, x) and CC is the circle x2+y2=1x^2 + y^2 = 1, z=1z = 1 Traversed counterclockwise when viewed from above.

Solution

Take SS to be the disk x2+y21x^2 + y^2 \leq 1, z=1z = 1 with upward normal n=(0,0,1)\mathbf{n} = (0, 0, 1).

×F=(xy(z)z,(2y)zxx,(z)x(2y)y)\nabla \times \mathbf{F} = \left(\frac{\partial x}{\partial y} - \frac{\partial (-z)}{\partial z},\, \frac{\partial (2y)}{\partial z} - \frac{\partial x}{\partial x},\, \frac{\partial (-z)}{\partial x} - \frac{\partial (2y)}{\partial y}\right)

=(0(1),01,02)=(1,1,2)= (0 - (-1),\, 0 - 1,\, 0 - 2) = (1, -1, -2)

(×F)n=(1,1,2)(0,0,1)=2(\nabla \times \mathbf{F}) \cdot \mathbf{n} = (1, -1, -2) \cdot (0, 0, 1) = -2

CFdr=S(2)dS=2π12=2π\oint_C \mathbf{F} \cdot d\mathbf{r} = \iint_S (-2)\, dS = -2 \cdot \pi \cdot 1^2 = -2\pi

If you get this wrong, revise: Section 3.5 Stokes’ Theorem.

Use the divergence theorem to compute the flux of F=(x,y,z)\mathbf{F} = (x,\, y,\, z) through the Surface of the cube [0,1]3[0, 1]^3.

Solution

F=xx+yy+zz=3\nabla \cdot \mathbf{F} = \frac{\partial x}{\partial x} + \frac{\partial y}{\partial y} + \frac{\partial z}{\partial z} = 3

SFdS=E3dV=313=3\iint_S \mathbf{F} \cdot d\mathbf{S} = \iiint_E 3\, dV = 3 \cdot 1^3 = 3

If you get this wrong, revise: Section 3.6 Divergence Theorem.

Find a potential function for F=(2x+y,x+2z,2y)\mathbf{F} = (2x + y,\, x + 2z,\, 2y).

Solution

First check: ×F=(22,00,11)=0\nabla \times \mathbf{F} = (2 - 2,\, 0 - 0,\, 1 - 1) = \mathbf{0}. Conservative.

ϕx=2x+y    ϕ=x2+xy+g(y,z)\frac{\partial \phi}{\partial x} = 2x + y \implies \phi = x^2 + xy + g(y,z)

ϕy=x+gy=x+2z    gy=2z    g=2yz+h(z)\frac{\partial \phi}{\partial y} = x + g_y = x + 2z \implies g_y = 2z \implies g = 2yz + h(z)

ϕz=2y+h(z)=2y    h(z)=0    h(z)=C\frac{\partial \phi}{\partial z} = 2y + h'(z) = 2y \implies h'(z) = 0 \implies h(z) = C

ϕ(x,y,z)=x2+xy+2yz+C\phi(x,y,z) = x^2 + xy + 2yz + C

If you get this wrong, revise: Section 3.7 Conservative Fields and Potential Functions.

Evaluate the surface integral S(x2+y2)dS\iint_S (x^2 + y^2)\, dS where SS is the cylinder x2+y2=4x^2 + y^2 = 4, 0z30 \leq z \leq 3.

Solution

Parametrise the cylinder: r(θ,z)=(2cosθ,2sinθ,z)\mathbf{r}(\theta, z) = (2\cos\theta,\, 2\sin\theta,\, z) for 0θ2π0 \leq \theta \leq 2\pi, 0z30 \leq z \leq 3.

rθ=(2sinθ,2cosθ,0)\mathbf{r}_\theta = (-2\sin\theta,\, 2\cos\theta,\, 0), rz=(0,0,1)\mathbf{r}_z = (0,\, 0,\, 1).

rθ×rz=(2cosθ,2sinθ,0)\mathbf{r}_\theta \times \mathbf{r}_z = (2\cos\theta,\, 2\sin\theta,\, 0)

rθ×rz=4cos2θ+4sin2θ=2\lVert \mathbf{r}_\theta \times \mathbf{r}_z \rVert = \sqrt{4\cos^2\theta + 4\sin^2\theta} = 2

On SS: x2+y2=4x^2 + y^2 = 4.

S(x2+y2)dS=02π0342dzdθ=832π=48π\iint_S (x^2 + y^2)\, dS = \int_0^{2\pi} \int_0^3 4 \cdot 2\, dz\, d\theta = 8 \cdot 3 \cdot 2\pi = 48\pi

If you get this wrong, revise: Section 5.5 Surface Integrals.

Use Green’s theorem to find the area enclosed by the ellipse x2a2+y2b2=1\frac{x^2}{a^2} + \frac{y^2}{b^2} = 1.

Solution

By Green’s theorem with P=y/2P = -y/2 and Q=x/2Q = x/2:

QxPy=12(12)=1\frac{\partial Q}{\partial x} - \frac{\partial P}{\partial y} = \frac{1}{2} - \left(-\frac{1}{2}\right) = 1

So the area is:

A=D1dA=Cy2dx+x2dy=12CxdyydxA = \iint_D 1\, dA = \oint_C -\frac{y}{2}\, dx + \frac{x}{2}\, dy = \frac{1}{2}\oint_C x\, dy - y\, dx

Parametrise the ellipse: x=acostx = a\cos t, y=bsinty = b\sin t, 0t2π0 \leq t \leq 2\pi.

A=1202π[acostbcostbsint(asint)]dtA = \frac{1}{2}\int_0^{2\pi} \left[a\cos t \cdot b\cos t - b\sin t \cdot (-a\sin t)\right]\, dt

=1202π(abcos2t+absin2t)dt=ab202π1dt=πab= \frac{1}{2}\int_0^{2\pi} (ab\cos^2 t + ab\sin^2 t)\, dt = \frac{ab}{2}\int_0^{2\pi} 1\, dt = \pi ab

If you get this wrong, revise: Section 3.3 Green’s Theorem.

Find the minimum value of f(x,y,z)=x2+y2+z2f(x,y,z) = x^2 + y^2 + z^2 subject to x+yz=1x + y - z = 1.

Solution

f=(2x,2y,2z)\nabla f = (2x, 2y, 2z), g=(1,1,1)\nabla g = (1, 1, -1) where g=x+yz1g = x + y - z - 1.

2x=λ2x = \lambda, 2y=λ2y = \lambda, 2z=λ2z = -\lambda So x=y=zx = y = -z.

From x+yz=1x + y - z = 1: 2x(x)=3x=12x - (-x) = 3x = 1 So x=1/3x = 1/3, y=1/3y = 1/3, z=1/3z = -1/3.

f(1/3,1/3,1/3)=19+19+19=13f(1/3, 1/3, -1/3) = \frac{1}{9} + \frac{1}{9} + \frac{1}{9} = \frac{1}{3}

This is the minimum (the Hessian of ff is positive definite, and the constraint set is unbounded But f0f \geq 0).

If you get this wrong, revise: Section 4.3 Lagrange Multipliers.

Find the arc length of the curve r(t)=(t2,2t,lnt)\mathbf{r}(t) = (t^2,\, 2t,\, \ln t) for 1te1 \leq t \leq e.

Solution

r(t)=(2t,2,1/t)\mathbf{r}'(t) = (2t,\, 2,\, 1/t) So r(t)=4t2+4+1/t2\lVert \mathbf{r}'(t) \rVert = \sqrt{4t^2 + 4 + 1/t^2}.

Note: 4t2+4+t2=(2t+1/t)24t^2 + 4 + t^{-2} = (2t + 1/t)^2. So r=2t+1/t\lVert \mathbf{r}' \rVert = 2t + 1/t.

L=1e(2t+1t)dt=[t2+lnt]1e=e2+110=e2L = \int_1^e \left(2t + \frac{1}{t}\right)\, dt = \left[t^2 + \ln t\right]_1^e = e^2 + 1 - 1 - 0 = e^2

If you get this wrong, revise: Section 5.1 Parametric Curves.

Find the curvature of r(t)=(t,t2,t3)\mathbf{r}(t) = (t,\, t^2,\, t^3) at t=1t = 1.

Solution

r(t)=(1,2t,3t2)\mathbf{r}'(t) = (1,\, 2t,\, 3t^2), r(t)=(0,2,6t)\mathbf{r}''(t) = (0,\, 2,\, 6t).

At t=1t = 1: r=(1,2,3)\mathbf{r}' = (1, 2, 3), r=(0,2,6)\mathbf{r}'' = (0, 2, 6).

r=1+4+9=14\lVert \mathbf{r}' \rVert = \sqrt{1 + 4 + 9} = \sqrt{14}.

r×r=ijk123026=(126,(60),20)=(6,6,2)\mathbf{r}' \times \mathbf{r}'' = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 1 & 2 & 3 \\ 0 & 2 & 6 \end{vmatrix} = (12 - 6,\, -(6 - 0),\, 2 - 0) = (6, -6, 2)

r×r=36+36+4=76=219\lVert \mathbf{r}' \times \mathbf{r}'' \rVert = \sqrt{36 + 36 + 4} = \sqrt{76} = 2\sqrt{19}

κ=219(14)3=2191414=26698\kappa = \frac{2\sqrt{19}}{(\sqrt{14})^3} = \frac{2\sqrt{19}}{14\sqrt{14}} = \frac{\sqrt{266}}{98}

If you get this wrong, revise: Section 5.2 Curvature and Torsion.

Find the surface area of the part of the sphere x2+y2+z2=4x^2 + y^2 + z^2 = 4 that lies above the Plane z=1z = 1.

Solution

Use spherical coordinates. The sphere has ρ=2\rho = 2. The plane z=1z = 1 intersects when 2cosϕ=12\cos\phi = 1 So cosϕ=1/2\cos\phi = 1/2Giving ϕ=π/3\phi = \pi/3.

The region: 0ρ20 \leq \rho \leq 2, 0ϕπ/30 \leq \phi \leq \pi/3, 0θ2π0 \leq \theta \leq 2\pi.

A=02π0π/3ρ2sinϕdϕdθ=42π0π/3sinϕdϕA = \int_0^{2\pi} \int_0^{\pi/3} \rho^2 \sin\phi\, d\phi\, d\theta = 4 \cdot 2\pi \int_0^{\pi/3} \sin\phi\, d\phi

=8π[cosϕ]0π/3=8π(12+1)=8π12=4π= 8\pi \left[-\cos\phi\right]_0^{\pi/3} = 8\pi \left(-\frac{1}{2} + 1\right) = 8\pi \cdot \frac{1}{2} = 4\pi

If you get this wrong, revise: Section 5.4 Surface Area.

Show that F=(yexy+2x,xexy+2y)\mathbf{F} = (ye^{xy} + 2x,\, xe^{xy} + 2y) is conservative and evaluate CFdr\int_C \mathbf{F} \cdot d\mathbf{r} where CC is any path from (0,0)(0, 0) to (1,1)(1, 1).

Solution

Check: Py=exy+xyexy\frac{\partial P}{\partial y} = e^{xy} + xye^{xy}, Qx=exy+xyexy\frac{\partial Q}{\partial x} = e^{xy} + xye^{xy}. These are equal, so F\mathbf{F} is conservative (on R2\mathbb{R}^2Which is connected).

Find ϕ\phi:

ϕx=yexy+2x    ϕ=exy+x2+g(y)\frac{\partial \phi}{\partial x} = ye^{xy} + 2x \implies \phi = e^{xy} + x^2 + g(y)

ϕy=xexy+g(y)=xexy+2y    g(y)=2y    g(y)=y2+C\frac{\partial \phi}{\partial y} = xe^{xy} + g'(y) = xe^{xy} + 2y \implies g'(y) = 2y \implies g(y) = y^2 + C

ϕ(x,y)=exy+x2+y2\phi(x,y) = e^{xy} + x^2 + y^2

CFdr=ϕ(1,1)ϕ(0,0)=(e+1+1)(1+0+0)=e+1\int_C \mathbf{F} \cdot d\mathbf{r} = \phi(1,1) - \phi(0,0) = (e + 1 + 1) - (1 + 0 + 0) = e + 1

If you get this wrong, revise: Section 3.2 Line Integrals and Section 3.7 Conservative Fields.

Compute the torsion of the curve r(t)=(cosht,sinht,t)\mathbf{r}(t) = (\cosh t,\, \sinh t,\, t) at t=0t = 0.

Solution

r(t)=(sinht,cosht,1)\mathbf{r}'(t) = (\sinh t,\, \cosh t,\, 1), r(t)=(cosht,sinht,0)\mathbf{r}''(t) = (\cosh t,\, \sinh t,\, 0) r(t)=(sinht,cosht,0)\mathbf{r}^{\prime\prime\prime}(t) = (\sinh t,\, \cosh t,\, 0).

At t=0t = 0: r=(0,1,1)\mathbf{r}' = (0, 1, 1), r=(1,0,0)\mathbf{r}'' = (1, 0, 0) r=(0,1,0)\mathbf{r}^{\prime\prime\prime} = (0, 1, 0).

r×r=ijk011100=(0,1,1)\mathbf{r}' \times \mathbf{r}'' = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 0 & 1 & 1 \\ 1 & 0 & 0 \end{vmatrix} = (0,\, 1,\, -1)

r×r=2\lVert \mathbf{r}' \times \mathbf{r}'' \rVert = \sqrt{2}

(r×r)r=1(\mathbf{r}' \times \mathbf{r}'') \cdot \mathbf{r}^{\prime\prime\prime} = 1

τ=1(2)2=12\tau = \frac{1}{(\sqrt{2})^2} = \frac{1}{2}

If you get this wrong, revise: Section 5.2 Curvature and Torsion.

Evaluate E1x2+y2+z2dV\iiint_E \frac{1}{\sqrt{x^2 + y^2 + z^2}}\, dV where EE is the solid unit ball x2+y2+z21x^2 + y^2 + z^2 \leq 1.

Solution

Use spherical coordinates. The integrand is 1ρ\frac{1}{\rho}.

E1ρdV=02π0π011ρρ2sinϕdρdϕdθ\iiint_E \frac{1}{\rho}\, dV = \int_0^{2\pi} \int_0^{\pi} \int_0^1 \frac{1}{\rho} \cdot \rho^2 \sin\phi\, d\rho\, d\phi\, d\theta

=(01ρdρ)(0πsinϕdϕ)(02πdθ)= \left(\int_0^1 \rho\, d\rho\right)\left(\int_0^{\pi} \sin\phi\, d\phi\right)\left(\int_0^{2\pi} d\theta\right)

=1222π=2π= \frac{1}{2} \cdot 2 \cdot 2\pi = 2\pi

If you get this wrong, revise: Section 2.5 Coordinate System Worked Examples.

Multivariable calculus extends the ideas of single-variable calculus to higher dimensions. The gradient replaces the derivative as the direction of steepest ascent, and level curves become contour maps of a terrain. Double and triple integrals accumulate quantities over regions and volumes, just as single integrals accumulate over intervals. The major theorems, Green’s, Stokes’, and the divergence theorem, all say the same thing in different costumes: the total circulation or flux through a boundary equals the integral of the curl or divergence inside. This is the fundamental principle that local behaviour determines global outcomes.

  • Confusing partial and total derivatives. Partial derivatives hold other variables constant; total derivatives account for all variable changes. Fix: fx\frac{\partial f}{\partial x} vs dfdt=fxdxdt+fydydt\frac{df}{dt} = \frac{\partial f}{\partial x}\frac{dx}{dt} + \frac{\partial f}{\partial y}\frac{dy}{dt}.
  • Wrong gradient direction. The gradient f\nabla f points in the direction of steepest ascent, not descent. Fix: f\nabla f gives the direction of maximum rate of increase; f-\nabla f gives steepest descent.
  • Confusing the Jacobian and Hessian. Jacobian: matrix of first partial derivatives (for transformations). Hessian: matrix of second partial derivatives (for convexity). Fix: Jacobian Jij=fixjJ_{ij} = \frac{\partial f_i}{\partial x_j}; Hessian Hij=2fxixjH_{ij} = \frac{\partial^2 f}{\partial x_i \partial x_j}.

Problem. Let f(x,y)=x2yf(x, y) = x^2 y where x=costx = \cos t, y=sinty = \sin t. Find dfdt\frac{df}{dt} at t=π/4t = \pi/4.

Solution. dfdt=fxdxdt+fydydt=2xy(sint)+x2cost\frac{df}{dt} = \frac{\partial f}{\partial x}\frac{dx}{dt} + \frac{\partial f}{\partial y}\frac{dy}{dt} = 2xy(-\sin t) + x^2 \cos t.

At t=π/4t = \pi/4: x=y=22x = y = \frac{\sqrt{2}}{2}. dfdt=212(22)+1222=22+24=24\frac{df}{dt} = 2 \cdot \frac{1}{2} \cdot (-\frac{\sqrt{2}}{2}) + \frac{1}{2} \cdot \frac{\sqrt{2}}{2} = -\frac{\sqrt{2}}{2} + \frac{\sqrt{2}}{4} = -\frac{\sqrt{2}}{4}.

\blacksquare

Problem. Evaluate RxydA\iint_R x y \, dA where R=[0,1]×[0,2]R = [0, 1] \times [0, 2].

Solution. 0102xydydx=01x[y22]02dx=012xdx=[x2]01=1\int_0^1 \int_0^2 xy \, dy\, dx = \int_0^1 x \left[\frac{y^2}{2}\right]_0^2 dx = \int_0^1 2x \, dx = [x^2]_0^1 = 1.

\blacksquare

flowchart TD
A[6_Problem Set] --> B[Key Concepts]
A --> C[Core Principles]
A --> D[Practical Applications]
B --> E[Fundamental definitions]
C --> F[Design patterns]
D --> G[Real-world usage]
  • Partial derivatives: treat other variables as constants; chain rule for multivariable functions.
  • Gradient f=(fx,fy)\nabla f = (f_x, f_y): direction of steepest ascent; level curves are perpendicular to f\nabla f.
  • Multiple integrals: Fubini’s theorem allows iterated integration; change order with care on bounds.
  • Jacobian determinant: accounts for area/volume scaling under coordinate transformations.
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Multivariable Calculus (Overview)WyattsNotesView
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Multivariable Calculus — MIT 18.02MIT OCWView