Series Solutions & Taylor Series

When closed-form solutions fail, power series succeed. Learn Taylor and Maclaurin series, radius of convergence, power-series solutions of ODEs, ordinary and singular points, recurrence relations, and the Frobenius method for regular singular points.

Many engineering ODEs (Bessel's for drums and waveguides, Legendre's for spheres, Airy's for optics) have no elementary solutions. Expanding the solution as a power series turns the ODE into an algebraic recurrence for the coefficients.

An analogy

A power series is like building a curve from Lego bricks of increasing detail: 1, x, x², x³ … — add enough and you match the shape as closely as you like.

Taylor polynomials

Truncating the series gives approximations: sin x ≈ x − x³/6 for small x. The error is bounded by the next term (alternating series) or Taylor's remainder.

Power-series ODE solutions

Substitute y = Σ aₙxⁿ, shift indices so all terms have xⁿ, and set coefficients to zero → recurrence. Example y″ + y = 0 gives aₙ₊₂ = −aₙ/((n + 2)(n + 1)) → cos and sin.

Ordinary vs singular points

If p(x), q(x) in y″ + py′ + qy = 0 are analytic at x₀, it's ordinary — plain power series work. If (x − x₀)p and (x − x₀)²q are analytic, it's regular singular — use Frobenius.

Convergence and use

The radius of convergence extends to the nearest singularity (possibly complex). Series solutions define special functions (Bessel, Legendre) tabulated and coded in libraries.

Formulas

Worked example: Recurrence for y″ + y = 0

Given: y = Σ aₙxⁿ

Find: Recurrence and solution.

Answer: y = a₀ cos x + a₁ sin x

Worked example: Taylor estimate

Given: e^0.1 using 3 terms

Find: Approximation and error.

Answer: Error ≈ 1.7 × 10⁻⁴ (≈ next term 0.1³/6)

Common mistakes

Applications

Key takeaways

Going further