Calculus 2: cram pack

Formula sheets, the key method steps for every topic and 8 practice problems, with full solutions at the back.

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1Formulas and methods

Integrals

Power rule
∫xⁿ dx = xⁿ⁺¹/(n + 1) + C
Definite integral
∫ab f dx = F(b) − F(a)
Common integrals
∫eˣ dx = eˣ, ∫1/x dx = ln|x|, ∫sin x dx = −cos x
Area between curves
∫ab (f − g) dx

Method

  1. Rewrite the integrand as a sum of simple terms where possible.
  2. Apply the power rule: ∫xⁿ dx = xⁿ⁺¹/(n + 1), and standard integrals for ex, 1/x, sin and cos.
  3. Use substitution when you see a function and its derivative together.
  4. For a definite integral, evaluate F(b) − F(a).

Sequences & series

Arithmetic sequence
aₙ = a₁ + (n − 1)d, Sₙ = n(a₁ + aₙ)/2
Geometric sequence
aₙ = a₁rⁿ⁻¹, Sₙ = a₁(1 − rⁿ)/(1 − r)
Infinite geometric series
S = a₁/(1 − r), |r| < 1
p-series
Σ1/kᵖ converges only for p > 1
Ratio test
L = lim |ak+1/ak|: L < 1 converges, L > 1 diverges
Radius of convergence
R = lim |ck/ck+1|
Taylor polynomial
Pₙ(x) = Σ f⁽ᵏ⁾(a)(x − a)ᵏ/k!
Maclaurin series
eˣ = Σxᵏ/k!, sin x = x − x³/3! + …, cos x = 1 − x²/2! + …, ln(1 + x) = x − x²/2 + …
Lagrange error bound
|Rₙ| ≤ M·|x − a|ⁿ⁺¹/(n + 1)!

Method

  1. Identify the type: arithmetic (constant difference), geometric (constant ratio), a standard series, a power series or a Taylor polynomial.
  2. For sums use Sₙ = n(a₁ + aₙ)/2, Sₙ = a₁(1 − rⁿ)/(1 − r), or S = a₁/(1 − r) when |r| < 1, with a₁ the first term of the sum.
  3. For convergence: n-th term test first, then compare with Σ1/kᵖ or a geometric series, and use the ratio or root test for factorials and k-th powers.
  4. For Taylor polynomials list f(a), f′(a), f″(a), …, divide the k-th derivative by k!, and bound the error with M·|x − a|ⁿ⁺¹/(n + 1)!.

Multivariable calculus

Partial derivatives
fx = ∂f/∂x (y constant), fxy = fyx
Gradient
∇f = (fx, fy), largest slope |∇f|
Directional derivative
Duf = ∇f·u, u = v/|v|
Tangent plane
z = f(a, b) + fx(x − a) + fy(y − b)
Chain rule
dz/dt = fx·dx/dt + fy·dy/dt
Second-derivative test
D = fxxfyy − fxy²: D > 0, fxx > 0 minimum; D > 0, fxx < 0 maximum; D < 0 saddle
Double integral
∬R f dA = ∫ab∫g(x)h(x) f dy dx
Polar coordinates
x = r cos θ, y = r sin θ, dA = r dr dθ

Method

  1. For a partial derivative, treat the other variable as a constant and use the one-variable rules.
  2. For gradient questions compute ∇f = (fx, fy) at the point; use |∇f| for the steepest slope and ∇f·u with a unit vector u for a directional derivative.
  3. For extrema solve fx = 0 and fy = 0 together, then classify every point with D = fxx·fyy − fxy².
  4. For a double integral sketch the region, choose the order (or polar coordinates for discs) so the inner limits are the bounding curves, and integrate inside first.

Differential equations

Exponential growth/decay
dy/dt = ky → y = y0ekt
Half-life
k = ln 2 / t½
Newton's law of cooling
T(t) = Ta + (T0 − Ta)e−kt
Integrating factor
y′ + p(x)y = q(x): μ = e∫p dx, (μy)′ = μq
Mixing tank
dm/dt = r·c − (r/V)·m

2Practice problems

1.IntegralsMedium
xy02

Evaluate I = ∫02 e−x dx.

f(x) = e−x[0, 2]
I =
2.IntegralsHard
xyy = 0.5x2​y = 2x

Find the area A of the region enclosed by y = 0.5x2 and y = 2x.

y = 0.5x2y = 2x
A =
3.Sequences & seriesMedium
AΣ 2ᵏ/k³k = 1 … ∞BΣ k²/2ᵏk = 1 … ∞CΣ 1/(3ᵏ + k)k = 1 … ∞DΣ (1/3)ᵏk = 1 … ∞

Exactly one of the four series diverges. Click it.

A: Σ 2ᵏ/k³B: Σ k²/2ᵏC: Σ 1/(3ᵏ + k)D: Σ (1/3)ᵏ
  1. 1A: Σ 2ᵏ/k³
  2. 2B: Σ k²/2ᵏ
  3. 3C: Σ 1/(3ᵏ + k)
  4. 4D: Σ (1/3)ᵏ
4.Sequences & seriesHard

f(x) = sin x is approximated at x = 2 by its Maclaurin polynomial of degree n. With the Lagrange bound M·|x|ⁿ⁺¹/(n + 1)! and M = 1, find the smallest degree n that guarantees an error below 1 × 10⁻⁶.

f(x) = sin xx = 2M = 1ε = 1 × 10⁻⁶
n =
5.Multivariable calculusMedium

z = −3x³y² + 2x³ + y³ − xy with x = t + 2 and y = −t² + 1. Use the chain rule to find dz/dt at t = −1.

z = −3x³y² + 2x³ + y³ − xyx = t + 2y = −t² + 1t = −1
dz/dt =
6.Multivariable calculusHard
xyx = 1.5y = x1.5

The integral I = ∫01.5 ∫y1.5 ex² dx dy cannot be done in this order. Reverse the order of integration and evaluate it.

f = ex²0 ≤ y ≤ x ≤ 1.5
I =
7.Differential equationsMedium
t (min)T (°C)24Ta​144 °C254 °C

A forged steel part at 420 °C is left to cool in a workshop at 25 °C. After 24 min its temperature is 144 °C. It follows Newton's law of cooling, dT/dt = −k·(T − Tₐ). How long after the start, t, does it take to reach 254 °C?

T0 = 420 °CTa = 25 °CT(24) = 144 °CT = 254 °C
t = min
8.Differential equationsHard
ty0.5y(0.5) = ?

Solve y′ + 0.5y = 10e−2t with y(0) = 1. Find y(0.5).

y′ + 0.5y = 10e−2ty(0) = 1
y(0.5) =

3Solutions

1.Integrals

Answer: I = 0.8647

Definite integrals: ∫ₐᵇ f(x) dx is the signed area between the graph and the x-axis from a to b. Find an antiderivative F (with F′ = f) and evaluate F(b) − F(a). Power rule: ∫xⁿ dx = xⁿ⁺¹/(n + 1). The area between two curves is ∫(upper − lower) dx.

Antiderivative

F(x) = e−x/(−1)

Evaluate at the limits

I = (e−2 − 1)/(−1) = (0.1353 − 1)/(−1) = 0.8647

Answer

I = 0.8647
2.Integrals

Answer: A = 5.333

Definite integrals: ∫ₐᵇ f(x) dx is the signed area between the graph and the x-axis from a to b. Find an antiderivative F (with F′ = f) and evaluate F(b) − F(a). Power rule: ∫xⁿ dx = xⁿ⁺¹/(n + 1). The area between two curves is ∫(upper − lower) dx.

Intersection points

0.5x2 = 2x → x = 0, x = 4

Integrate upper minus lower

A = [x2 − 0.1667x3]04 = 5.333

Answer

A = 5.333
3.Sequences & series

Answer: A: Σ 2ᵏ/k³

Convergence: if the terms do not tend to 0 the series diverges (n-th term test). Σ1/kᵖ converges only for p > 1, and Σrᵏ only for |r| < 1. Compare a series with one of these when its terms behave like them for large k. Ratio test: L = lim |ak+1/ak|; root test: L = lim |ak|1/k. L < 1 converges, L > 1 diverges, L = 1 decides nothing. A power series Σck(x − x₀)ᵏ converges for |x − x₀| < R with R = lim |ck/ck+1|; an alternating series with terms decreasing to 0 converges.

Test each series

A: Σ 2ᵏ/k³ → Ratio test: L = 2 > 1, diverges.
B: Σ k²/2ᵏ → Ratio test: L = 1/2 < 1, converges.
C: Σ 1/(3ᵏ + k) → Smaller than (1/3)ᵏ, a convergent geometric series: converges by comparison.
D: Σ (1/3)ᵏ → Geometric with r = 1/3, |r| < 1: converges.

The answer

A: Σ 2ᵏ/k³

Answer

A: Σ 2ᵏ/k³
4.Sequences & series

Answer: n = 13

Taylor polynomials: near x = a a smooth function is approximated by Pₙ(x) = f(a) + f′(a)(x − a) + f″(a)(x − a)²/2! + … + f⁽ⁿ⁾(a)(x − a)ⁿ/n!; for a = 0 this is the Maclaurin polynomial. Standard series: eˣ = Σxᵏ/k!, sin x = x − x³/3! + x⁵/5! − …, cos x = 1 − x²/2! + x⁴/4! − …, ln(1 + x) = x − x²/2 + x³/3 − …, 1/(1 − x) = Σxᵏ. Lagrange error bound: |f(x) − Pₙ(x)| ≤ M·|x − a|ⁿ⁺¹/(n + 1)!, where M is the largest value of |f⁽ⁿ⁺¹⁾| between a and x.

n(n + 1)!bound261.3333240.666741200.266757200.08889650400.02547403200.00634983628800.001411936288000.000282210399168005.131 × 10⁻⁵114790016008.551 × 10⁻⁶1262270208001.316 × 10⁻⁶13871782912001.879 × 10⁻⁷

Bounds for increasing n

n = 12: 1.316 × 10⁻⁶ ≥ 1 × 10⁻⁶
n = 13: 1.879 × 10⁻⁷ < 1 × 10⁻⁶

Smallest degree

n = 13

Answer

n = 13
5.Multivariable calculus

Answer: dz/dt = 4

Gradient: ∇f = (fx, fy) points in the direction of steepest ascent, and |∇f| is the largest rate of change. The directional derivative along a direction v is Duf = ∇f·u with the unit vector u = v/|v|. The tangent plane at (a, b) is z = f(a, b) + fx(a, b)(x − a) + fy(a, b)(y − b); it gives the linear approximation of f near that point. Chain rule: dz/dt = fx·dx/dt + fy·dy/dt.

Point and rates

x(−1) = 1, y(−1) = 0
dx/dt = 1, dy/dt = −2t = 2

Partial derivatives

fx = −9x²y² + 6x² − y = 6
fy = −6x³y + 3y² − x = −1

Chain rule

dz/dt = 6·1 + (−1)·2 = 4

Answer

dz/dt = 4
6.Multivariable calculus

Answer: I = 4.244

Critical points and double integrals: a critical point has fx = fy = 0. Second-derivative test with D = fxxfyy − fxy²: D > 0 and fxx > 0 is a local minimum, D > 0 and fxx < 0 a local maximum, D < 0 a saddle point, and D = 0 decides nothing. For a double integral over a general region, let the inner limits be the curves that bound the region; for discs and sectors use polar coordinates, x = r cos θ, y = r sin θ and dA = r dr dθ (do not forget the factor r).

Region

0 ≤ y ≤ x, 0 ≤ x ≤ 1.5

Reversed order

I = ∫01.5 ∫0x ex² dy dx = ∫01.5 x·ex² dx

Substitution u = x²

I = [ex²/2]01.5 = 4.244

Answer

I = 4.244
7.Differential equations

Answer: t = 10.91 min

First-order differential equations: dy/dt = k·y has the solution y = y₀·ekt (growth for k > 0, decay for k < 0); a half-life T gives k = ln 2/T. Newton's law of cooling, dT/dt = −k·(T − Tₐ), gives T(t) = Tₐ + (T₀ − Tₐ)·e−kt. A linear equation y′ + p(x)·y = q(x) is solved with the integrating factor μ = e∫p dx: (μy)′ = μq, so μy = ∫μq dx + C.

Cooling constant

k = ln(395/119)/24 = 0.04999 min⁻¹

Time to reach the target

t = ln(395/229)/0.04999 = 10.91 min

Answer

t = 10.91 min
8.Differential equations

Answer: y(0.5) = 3.518

First-order differential equations: dy/dt = k·y has the solution y = y₀·ekt (growth for k > 0, decay for k < 0); a half-life T gives k = ln 2/T. Newton's law of cooling, dT/dt = −k·(T − Tₐ), gives T(t) = Tₐ + (T₀ − Tₐ)·e−kt. A linear equation y′ + p(x)·y = q(x) is solved with the integrating factor μ = e∫p dx: (μy)′ = μq, so μy = ∫μq dx + C.

Integrating factor

μ = e0.5t
(e0.5ty)′ = 10e−1.5t

General solution

y = 10/(−1.5)·e−2t + C·e−0.5t = −6.667·e−2t + C·e−0.5t

Initial condition

1 = −6.667 + C → C = 7.667

Evaluate

y(0.5) = −6.667·0.3679 + 7.667·0.7788 = 3.518

Answer

y(0.5) = 3.518

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