Formula sheet
Differential equations — Formula Sheet
4 formulas from Differential Equations, each with what it means, when to use it and the trap it sets.
Separable equation
- What it says
- Get all the y on one side and all the x on the other, then integrate both.
- When to reach for it
- The right-hand side factors cleanly into an x part times a y part.
- Watch out
- One constant of integration is enough for both sides, and dividing by h(y) can lose the constant solution h(y) = 0.
Exponentiate at the end to get y = Ae^{x²/2}.
Integrating factor
- What it says
- Multiply through by μ and the left side collapses into a single product derivative.
- When to reach for it
- First-order linear equations that will not separate.
- Watch out
- The equation must be in standard form with the coefficient of y′ equal to 1 before you read off P.
The whole method exists to make the left side an exact derivative.
Characteristic equation
- What it says
- Guess y = e^{rx} and the differential equation becomes an ordinary quadratic.
- When to reach for it
- Second-order linear equations with constant coefficients.
- Watch out
- Three cases: distinct real roots give two exponentials, a repeated root needs an extra factor of x, and complex roots a ± bi give e^{ax}(C₁cos bx + C₂sin bx).
Two distinct real roots, so two independent exponentials.
Laplace transform of a derivative
- What it says
- Differentiation becomes multiplication by s, with the initial condition folded in.
- When to reach for it
- Initial-value problems, especially with discontinuous or impulsive forcing.
- Watch out
- The initial values are part of the transform. Dropping f(0) silently solves a different problem.
Each extra derivative adds one more initial-condition term.
Other formula sheets
- Numbers and operations
- Algebra building blocks
- Lines and graphs
- Limits and continuity
- What a derivative is
- Differentiation techniques
- Applications of derivatives
- Integration
- Applications of integrals
- Techniques of integration
- Sequences and series
- Parametric and polar
- Vectors and matrices
- Multivariable calculus
- Probability and statistics