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
xy15

Evaluate I = ∫15 1/x dx.

f(x) = 1/x[1, 5]
I =
2.IntegralsHard
xy−11

Find the area A of the region between the parabola y = 1 − x² and the x-axis.

y = 1 − x²
A =
3.Sequences & seriesMedium
AΣ (2/5)ᵏk = 1 … ∞BΣ 3ᵏ/k!k = 1 … ∞CΣ 1/k³k = 1 … ∞DΣ 3ᵏ/k³k = 1 … ∞

Exactly one of the four series diverges. Click it.

A: Σ (2/5)ᵏB: Σ 3ᵏ/k!C: Σ 1/k³D: Σ 3ᵏ/k³
  1. 1A: Σ (2/5)ᵏ
  2. 2B: Σ 3ᵏ/k!
  3. 3C: Σ 1/k³
  4. 4D: Σ 3ᵏ/k³
4.Sequences & seriesHard

f(x) = sin x is approximated at x = 1.5 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 1 × 10⁻⁵.

f(x) = sin xx = 1.5M = 1ε = 1 × 10⁻⁵
n =
5.Multivariable calculusMedium
xy2−1P

The tangent plane to z = 3 sin(3x + y) at the point where (x, y) = (2, −1) can be written as z = px + qy + c. Find c.

f(x, y) = 3 sin(3x + y)(a, b) = (2, −1)
c =
6.Multivariable calculusHard
xy02−20(1, −2)

f(x, y) = 2x² − xy + 2y² − 6x + 9y + 1 has a critical point at (1, −2). Compute the discriminant D = fxxfyy − fxy² there.

f(x, y) = 2x² − xy + 2y² − 6x + 9y + 1P = (1, −2)
D =
7.Differential equationsMedium
tyy(0) = 5y(2) = ?

Solve y″ + 7y′ + 12y = 0 with y(0) = 5 and y′(0) = -4. Find y(2).

y″ + 7y′ + 12y = 0y(0) = 5y′(0) = -4
y(2) =
8.Differential equationsHard
xy13(1, 4)y(3) = ?

Solve the initial value problem y′ + 2y/x = 4x2 for x > 0, with y(1) = 4. Find y(3).

y′ + 2y/x = 4x2y(1) = 4
y(3) =

3Solutions

1.Integrals

Answer: I = 1.609

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) = ln x

Evaluate at the limits

I = (ln 5 − ln 1) = ln 5 = 1.609

Answer

I = 1.609
2.Integrals

Answer: A = 1.333

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.

Zeros

1 − x² = 0 → x = ±1

Integrate

A = [1x − x³/3]−11 = 0.6667 − (−0.6667) = 1.333

Answer

A = 1.333
3.Sequences & series

Answer: D: Σ 3ᵏ/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 (2/5)ᵏ → Geometric with r = 2/5, |r| < 1: converges.
B: Σ 3ᵏ/k! → Ratio test: L = lim 3/(k + 1) = 0 < 1, converges.
C: Σ 1/k³ → p-series with p = 3 > 1: converges.
D: Σ 3ᵏ/k³ → Ratio test: L = 3 > 1, diverges.

The answer

D: Σ 3ᵏ/k³

Answer

D: Σ 3ᵏ/k³
4.Sequences & series

Answer: n = 10

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)!bound011.5121.125260.56253240.210941200.0632857200.01582650400.003397403200.000635683628800.0001059936288001.589 × 10⁻⁵10399168002.167 × 10⁻⁶

Bounds for increasing n

n = 9: 1.589 × 10⁻⁵ ≥ 1 × 10⁻⁵
n = 10: 2.167 × 10⁻⁶ < 1 × 10⁻⁵

Smallest degree

n = 10

Answer

n = 10
5.Multivariable calculus

Answer: c = −7.132

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.

Value and slopes at the point

f(2, −1) = −2.877
fx = 9 cos(3x + y) → fx(2, −1) = 2.553
fy = 3 cos(3x + y) → fy(2, −1) = 0.851

Tangent plane

z = −2.877 + 2.553(x − 2) + 0.851(y + 1)
z = 2.553x + 0.851y − 7.132

Constant term

c = −7.132

Answer

c = −7.132
6.Multivariable calculus

Answer: D = 15

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).

Second derivatives

fxx = 4, fyy = 4, fxy = −1

Discriminant

D = 4·4 − (−1)² = 15
→ local minimum

Answer

D = 15
7.Differential equations

Answer: y(2) = 0.03597

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.

Characteristic roots

(r + 3)(r + 4) = 0 → r = −3, −4

Constants from the initial values

A + B = 5, −3A − 4B = -4
A = 16, B = −11

Evaluate

y(2) = 16·e−6 + (−11)·e−8 = 0.03597

Answer

y(2) = 0.03597
8.Differential equations

Answer: y(3) = 21.96

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 = e∫2/x dx = x2

Integrate

(x2y)′ = 4x4 → x2y = 4x5/5 + C

Initial condition

4 = 4/5 + C → C = 3.2

Evaluate

y(3) = (4·35/5 + 3.2)/32 = 21.96

Answer

y(3) = 21.96

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