Differential Equations: 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

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

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).

Derivatives

Power rule
(xⁿ)′ = n·xⁿ⁻¹
Product rule
(uv)′ = u′v + uv′
Quotient rule
(u/v)′ = (u′v − uv′)/v²
Chain rule
f(g(x))′ = f′(g(x))·g′(x)
Common derivatives
(eˣ)′ = eˣ, (ln x)′ = 1/x, (sin x)′ = cos x, (cos x)′ = −sin x

Method

  1. Identify the structure: sum, product, quotient or composition.
  2. Apply the power rule to each power of x.
  3. Use the product, quotient or chain rule where needed.
  4. Simplify, and evaluate at the point if asked.

Numerical methods

Bisection
c = (a + b)/2, width after n steps (b − a)/2ⁿ
Newton–Raphson
xn+1 = xₙ − f(xₙ)/f′(xₙ)
Linear interpolation
y = y₁ + (y₂ − y₁)(x − x₁)/(x₂ − x₁)
Trapezoid rule
T = (h/2)[f₀ + 2f₁ + … + 2fn−1 + fₙ], h = (b − a)/n
Simpson’s rule (n even)
S = (h/3)[f₀ + 4f₁ + 2f₂ + … + 4fn−1 + fₙ]
Trapezoid error bound
|E| ≤ (b − a)h²M/12, M = max|f″|
Euler
yn+1 = yₙ + h·f(tₙ, yₙ)
Heun
yn+1 = yₙ + (h/2)(k₁ + k₂), k₂ = f(tₙ + h, yₙ + hk₁)
RK4
yn+1 = yₙ + (h/6)(k₁ + 2k₂ + 2k₃ + k₄)

Method

  1. For a root: check the sign change for bisection, or compute f and f′ for Newton, and keep six or more digits in a table of iterates.
  2. For a table value: interpolate linearly between the two neighbouring points.
  3. For an integral: find h = (b − a)/n, list f at every node, apply the weights (1, 2, …, 2, 1 for trapezoid; 1, 4, 2, …, 4, 1 for Simpson with even n) and multiply by h/2 or h/3.
  4. For an ODE: step from t₀ with yₙ₊₁ = yₙ + h·f(tₙ, yₙ) (Euler) or the averaged slope (Heun), one row per step, until you reach the requested t.

2Practice problems

1.Differential equationsMedium
tyy(0) = 3y(2) = ?

Solve y″ + 4y′ + 4y = 0 with y(0) = 3 and y′(0) = -2. Find y(2).

y″ + 4y′ + 4y = 0y(0) = 3y′(0) = -2
y(2) =
2.Differential equationsHard
tyy(0) = 3y(0.5) = ?

Solve y″ + 4y′ + 13y = 0 with y(0) = 3 and y′(0) = 0 (released from rest). Find y(0.5); angles in radians.

y″ + 4y′ + 13y = 0y(0) = 3y′(0) = 0
y(0.5) =
3.IntegralsMedium
xy24

Evaluate I = ∫24 2/x dx.

f(x) = 2/x[2, 4]
I =
4.IntegralsHard
xyy = 2x2​y = 3x

Find the area A of the region enclosed by y = 2x2 and y = 3x.

y = 2x2y = 3x
A =
5.DerivativesMedium
xyx = 0.5

Let f(x) = x2·e−0.5x. Find f′(0.5).

f(x) = x2·e−0.5xx = 0.5
f′(0.5) =
6.DerivativesHard
xyx = −2

The tangent line to f(x) = 0.5x2 + 3x − 2 at x = −2 crosses the y-axis at y = b. Find b.

f(x) = 0.5x2 + 3x − 2x = −2
b =
7.Numerical methodsMedium
xy00.16670.33330.50.66670.83331

Approximate ∫01 1/√(1 + x⁴) dx with the trapezoid rule using n = 6 strips. Give T.

f(x) = 1/√(1 + x⁴)[a, b] = [0, 1]n = 6
T =
8.Numerical methodsHard
00.20.40.60.20.40.6ty(0, 0.2)

Solve y′ = y(2 − y), y(0) = 0.2 with Euler's method and step h = 0.25 up to t = 0.75. The exact solution is y = 2y₀/(y₀ + (2 − y₀)e−2t). Find the global error |E| = |y(0.75) − y3|.

y′ = y(2 − y)y(0) = 0.2h = 0.25
|E| =

3Solutions

1.Differential equations

Answer: y(2) = 0.2015

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.

Double root

(r + 2)² = 0 → r = −2

Constants

A = y(0) = 3
y′(0) = B − 2A → B = -2 + 6 = 4

Evaluate

y(2) = (3 + 4·2)·e−4 = 0.2015

Answer

y(2) = 0.2015
2.Differential equations

Answer: y(0.5) = 0.812

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 = −2 ± 3j

Constants

A = 3, B = 2·3/3 = 2

Evaluate

y(0.5) = e−1(3·cos 1.5 + 2·sin 1.5) = 0.812

Answer

y(0.5) = 0.812
3.Integrals

Answer: I = 1.386

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) = 2·ln x

Evaluate at the limits

I = 2·(ln 4 − ln 2) = 2·ln 2 = 1.386

Answer

I = 1.386
4.Integrals

Answer: A = 1.125

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 = 3x → x = 0, x = 1.5

Integrate upper minus lower

A = [1.5x2 − 0.6667x3]01.5 = 1.125

Answer

A = 1.125
5.Derivatives

Answer: f′(0.5) = 0.6815

Differentiation: the derivative f′(x) is the slope of the graph at x. Power rule: (xⁿ)′ = n·xⁿ⁻¹. Product rule: (uv)′ = u′v + uv′. Chain rule: (f(g(x)))′ = f′(g(x))·g′(x). Where f′(x) = 0 the graph has a horizontal tangent: a maximum, minimum or saddle point.

Product rule

f′(x) = u′v + uv′ = e−0.5x·(2x + (−0.5)·x2)

Substitute

f′(0.5) = 0.7788·(1 + (−0.125)) = 0.6815

Answer

f′(0.5) = 0.6815
6.Derivatives

Answer: b = −4

Differentiation: the derivative f′(x) is the slope of the graph at x. Power rule: (xⁿ)′ = n·xⁿ⁻¹. Product rule: (uv)′ = u′v + uv′. Chain rule: (f(g(x)))′ = f′(g(x))·g′(x). Where f′(x) = 0 the graph has a horizontal tangent: a maximum, minimum or saddle point.

Point and slope

f(−2) = −6
f′(x) = x + 3 → f′(−2) = 1

Tangent line at x = 0

b = f(x₀) − f′(x₀)·x₀ = −6 − 1·(−2) = −4

Answer

b = −4
7.Numerical methods

Answer: T = 0.9254

Numerical integration: split [a, b] into n strips of width h = (b − a)/n with nodes x₀ … xₙ. Trapezoid rule: T = (h/2)[f₀ + 2f₁ + 2f₂ + … + 2fn−1 + fₙ]. Simpson's rule (n even): S = (h/3)[f₀ + 4f₁ + 2f₂ + 4f₃ + … + 4fn−1 + fₙ]. The trapezoid error shrinks like h² (bound (b − a)h²·M/12 with M = max|f″|), Simpson's like h⁴, so Simpson is usually far more accurate for the same nodes.

ixᵢf(xᵢ)weight001110.1666670.999614220.3333330.993884230.50.970143240.6666670.913812250.8333330.821372610.7071071

Nodes and values

h = 0.1667
Σ wᵢfᵢ = 1 + 2·0.999614 + 2·0.993884 + 2·0.970143 + 2·0.913812 + 2·0.82137 + 0.707107 = 11.104751

Trapezoid rule

T = (0.1667/2)·11.104751 = 0.9254

Answer

T = 0.9254

This integral has no elementary antiderivative, which is exactly when a numerical rule is needed.

8.Numerical methods

Answer: |E| = 0.08674

Numerical solution of y′ = f(t, y): Euler's method steps along the slope at the start of each step: yn+1 = yₙ + h·f(tₙ, yₙ). Heun's method (improved Euler) averages the slope at the start and at an Euler prediction: k₁ = f(tₙ, yₙ), k₂ = f(tₙ + h, yₙ + h·k₁), yn+1 = yₙ + (h/2)(k₁ + k₂). The classical Runge–Kutta method (RK4) combines four slopes: yn+1 = yₙ + (h/6)(k₁ + 2k₂ + 2k₃ + k₄). The global error of Euler is proportional to h, Heun's to h², RK4's to h⁴.

ntₙyₙf(tₙ, yₙ)yₙ₊₁000.20.360.2910.250.290.49590.41397520.50.4139750.6565750.578119

Euler steps

y3 = 0.578119

Exact value

y(0.75) = 0.664856

Global error

|E| = |0.664856 − 0.578119| = 0.08674
00.20.40.60.20.40.6ty

Graph

Answer

|E| = 0.08674

Halving h roughly halves the error of Euler's method.

ExamProblems · examproblems.com/courses/differential-equations