Calculus 2: cram pack

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

New problemsBack to the course

In the print window, choose “Save as PDF” to keep a copy on your device.

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
xy03

Evaluate I = ∫03 e−x dx.

f(x) = e−x[0, 3]
I =
2.IntegralsHard
xyy = 2x2​y = x

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

y = 2x2y = x
A =
3.Sequences & seriesMedium
AΣ 2ᵏ/k!k = 1 … ∞BΣ 2ᵏ/k²k = 1 … ∞CΣ 1/(k(k + 1))k = 1 … ∞DΣ 3/k⁴k = 1 … ∞

Exactly one of the four series diverges. Click it.

A: Σ 2ᵏ/k!B: Σ 2ᵏ/k²C: Σ 1/(k(k + 1))D: Σ 3/k⁴
  1. 1A: Σ 2ᵏ/k!
  2. 2B: Σ 2ᵏ/k²
  3. 3C: Σ 1/(k(k + 1))
  4. 4D: Σ 3/k⁴
4.Sequences & seriesHard

f(x) = cos x is approximated at x = 0.5 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 0.0005.

f(x) = cos xx = 0.5M = 1ε = 0.0005
n =
5.Multivariable calculusMedium
xy−4−20−20vP

For f(x, y) = 3 sin(x − 3y), find the directional derivative Duf at (−1, −1) in the direction of v = (−4, 2).

f(x, y) = 3 sin(x − 3y)P = (−1, −1)v = (−4, 2)
Duf =
6.Multivariable calculusHard
xy−2002(−1, 2)

Find the critical points of f(x, y) = −x² + xy − 2y² − 4x + 9y + 1, classify them, and give the value fmax of f at its local maximum.

f(x, y) = −x² + xy − 2y² − 4x + 9y + 1
fmax =
7.Differential equationsMedium
t (min)T (°C)19Ta​32 °C26 °C

A cup of coffee at 84 °C is left in a room at 23 °C. After 19 min its temperature is 32 °C. It follows Newton's law of cooling, dT/dt = −k·(T − Tₐ). How long after the start, t, does it take to reach 26 °C?

T0 = 84 °CTa = 23 °CT(19) = 32 °CT = 26 °C
t = min
8.Differential equationsHard
tyy(0) = 10y(0.75) = ?

Solve y″ + 3y′ + 11.25y = 0 with y(0) = 10 and y′(0) = 0 (released from rest). Find y(0.75); angles in radians.

y″ + 3y′ + 11.25y = 0y(0) = 10y′(0) = 0
y(0.75) =

3Solutions

1.Integrals

Answer: I = 0.9502

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−3 − 1)/(−1) = (0.04979 − 1)/(−1) = 0.9502

Answer

I = 0.9502
2.Integrals

Answer: A = 0.04167

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

2x2 = x → x = 0, x = 0.5

Integrate upper minus lower

A = [0.5x2 − 0.6667x3]00.5 = 0.04167

Answer

A = 0.04167
3.Sequences & series

Answer: B: Σ 2ᵏ/k²

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/k! → Ratio test: L = lim 2/(k + 1) = 0 < 1, converges.
B: Σ 2ᵏ/k² → Ratio test: L = 2 > 1, diverges.
C: Σ 1/(k(k + 1)) → Smaller than 1/k²: converges by comparison.
D: Σ 3/k⁴ → p-series with p = 4 > 1: converges.

The answer

B: Σ 2ᵏ/k²

Answer

B: Σ 2ᵏ/k²
4.Sequences & series

Answer: n = 4

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)!bound010.5120.125260.020833240.00260441200.0002604

Bounds for increasing n

n = 3: 0.002604 ≥ 0.0005
n = 4: 0.0002604 < 0.0005

Smallest degree

n = 4

Answer

n = 4
5.Multivariable calculus

Answer: Duf = 2.792

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.

Gradient at the point

fx = 3 cos(x − 3y) → fx(−1, −1) = −1.248
fy = −9 cos(x − 3y) → fy(−1, −1) = 3.745

Unit vector

|v| = √((−4)² + 2²) = 4.472
u = (−0.8944, 0.4472)

Dot product

Duf = (−1.248)·(−0.8944) + 3.745·0.4472 = 2.792

Answer

Duf = 2.792
6.Multivariable calculus

Answer: fmax = 12

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).

Critical points

Solve fx = 0 and fy = 0 together.

fx = −2x + y − 4 = 0
fy = x − 4y + 9 = 0
(−1, 2)

Second-derivative test

(−1, 2): fxx = −2, fyy = −4, fxy = 1, D = 7 → local maximum

Value at the extremum

f(−1, 2) = 12

Answer

fmax = 12
7.Differential equations

Answer: t = 29.91 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(61/9)/19 = 0.1007 min⁻¹

Time to reach the target

t = ln(61/3)/0.1007 = 29.91 min

Answer

t = 29.91 min
8.Differential equations

Answer: y(0.75) = −0.7764

Second-order linear equations: for y″ + b·y′ + c·y = 0 try y = ert: this gives the characteristic equation r² + b·r + c = 0. Two real roots r₁ ≠ r₂ give y = A·er₁t + B·er₂t (overdamped); a double root r gives y = (A + Bt)·ert (critically damped); complex roots −α ± jω give y = e−αt(A cos ωt + B sin ωt) (underdamped, oscillating). The initial values y(0) and y′(0) fix A and B. Written as y″ + 2ζωny′ + ωn²y = 0, ωn is the natural frequency and ζ the damping ratio: ζ < 1 oscillates. With a constant input, y″ + by′ + cy = c·K, the solution is the steady value K plus the free response.

Complex roots

r = −1.5 ± 3j

Constants

A = 10, B = 1.5·10/3 = 5

Evaluate

y(0.75) = e−1.125(10·cos 2.25 + 5·sin 2.25) = −0.7764

Answer

y(0.75) = −0.7764

ExamProblems · examproblems.com/courses/calculus-2