The Taylor series of an analytic function at is the Power series
Theorem (Taylor’s theorem in ). If is analytic on the open disk , then on that disk,
The series converges to throughout the disk.
Every analytic function equals its Taylor series on every disk where it’s analytic. There’s no distinction between “analytic” and “represented by its Taylor series,” which doesn’t hold in the real case.
Sketch of proof
For any inside a disk of analyticity around , choose a circle around with inside and still inside the disk. By the Cauchy integral formula,
Expand as a geometric series in (valid because ):
Substitute back and integrate term by term. The integral is by the generalized CIF. Collecting:
Radius of convergence = distance to nearest singularity
A consequence of the proof: the largest disk around on which the Taylor series converges to is the largest disk around on which is analytic. So the radius of convergence equals the distance from to the nearest singularity of .
Example. has singularities at . Taylor series around : the distance to the nearest singularity is , so . The series converges on to .
is perfectly smooth for all real , yet its real Taylor series at only converges for . The complex picture explains why: the singularities at constrain the radius of convergence even on the real line.
The four core Taylor expansions
Memorize these. They’re the building blocks for almost every series computation.
Anything else, build it from these with the manipulation techniques below.
Euler’s formula, finally derived
Back in Chapter 1 we took as a definition. The Taylor series for now justifies it. Substitute :
Split by parity of . For even : . For odd : . So
The rearrangement is legal because the series converges absolutely on all of , and absolutely convergent series can be rearranged freely.
So Euler’s formula is just the series evaluated at , splitting by parity into the cosine and sine series. See Euler’s formula.
Three manipulation techniques
1. Substitution. Replace in a known expansion with .
Example. around : use with : for .
Example. : replace in : .
2. Differentiation. Differentiate a known series term by term (legal inside the disk of convergence).
Example. : differentiate : .
Example. From , differentiating gives .
3. Integration. Integrate a known series term by term.
Example. around : . Integrate (with constant zero since ):
Example. : . Integrate:
(Setting gives Leibniz’s formula for .)
Often you mix techniques. Expand : start with , substitute : . Multiply by : .
Where they show up
- Computing residues at simple poles when with analytic.
- Reading off the behavior of near a point.
- Numerical work: polynomial approximations of transcendental functions.
- Base case for Laurent series (Taylor with possibly-negative powers).