TheoremComplete

Taylor's Theorem for Holomorphic Functions

Every holomorphic function admits a convergent Taylor series expansion in any disk contained in its domain of definition. This fundamental result follows from the Cauchy integral formula.


Statement

Theorem5.9Taylor's theorem

Let ff be holomorphic on a domain DD and let z0Dz_0 \in D. Then ff has a power series expansion

f(z)=n=0an(zz0)n,an=f(n)(z0)n!f(z) = \sum_{n=0}^{\infty} a_n(z - z_0)^n, \qquad a_n = \frac{f^{(n)}(z_0)}{n!}

converging absolutely and uniformly on compact subsets of the largest open disk D(z0,R)DD(z_0, R) \subset D, where R=dist(z0,D)R = \text{dist}(z_0, \partial D).


Proof

Proof

Let r<Rr < R and γ={wz0=r}\gamma = \{|w-z_0| = r\} (positively oriented). For zz0<r|z-z_0| < r, the Cauchy integral formula gives:

f(z)=12πiγf(w)wzdw.f(z) = \frac{1}{2\pi i}\oint_\gamma \frac{f(w)}{w-z}\,dw.

The key step is expanding the Cauchy kernel in a geometric series:

1wz=1(wz0)(zz0)=1wz011zz0wz0=n=0(zz0)n(wz0)n+1\frac{1}{w-z} = \frac{1}{(w-z_0)-(z-z_0)} = \frac{1}{w-z_0}\cdot\frac{1}{1-\frac{z-z_0}{w-z_0}} = \sum_{n=0}^{\infty}\frac{(z-z_0)^n}{(w-z_0)^{n+1}}

which converges uniformly in ww on γ\gamma since zz0/wz0=zz0/r<1|z-z_0|/|w-z_0| = |z-z_0|/r < 1.

Substituting into the Cauchy formula and interchanging sum and integral (justified by uniform convergence):

f(z)=n=0(12πiγf(w)(wz0)n+1dw)(zz0)n=n=0f(n)(z0)n!(zz0)n.f(z) = \sum_{n=0}^{\infty} \left(\frac{1}{2\pi i}\oint_\gamma \frac{f(w)}{(w-z_0)^{n+1}}\,dw\right)(z-z_0)^n = \sum_{n=0}^{\infty}\frac{f^{(n)}(z_0)}{n!}(z-z_0)^n.

Since this holds for every r<Rr < R, the series converges on D(z0,R)D(z_0, R).

Absolute convergence follows from the estimate anMr/rn|a_n| \leq M_r/r^n where Mr=maxwz0=rf(w)M_r = \max_{|w-z_0|=r}|f(w)|, giving an(zz0)nMr(zz0/r)n|a_n(z-z_0)^n| \leq M_r(|z-z_0|/r)^n, a convergent geometric series for zz0<r|z-z_0| < r. \blacksquare


Important Consequences

RemarkAnalytic equals holomorphic

Taylor's theorem proves the equivalence of analyticity and holomorphicity for complex functions. This is in sharp contrast to real analysis, where CC^\infty functions can fail to equal their Taylor series (e.g., f(x)=e1/x2f(x) = e^{-1/x^2} at x=0x = 0). In the complex setting, differentiability at each point forces convergence of the Taylor series.

ExampleStandard Taylor expansions

The following Taylor series converge on all of C\mathbb{C} (radius R=R = \infty):

ez=n=0znn!,sinz=n=0(1)nz2n+1(2n+1)!,cosz=n=0(1)nz2n(2n)!.e^z = \sum_{n=0}^\infty \frac{z^n}{n!}, \qquad \sin z = \sum_{n=0}^\infty \frac{(-1)^n z^{2n+1}}{(2n+1)!}, \qquad \cos z = \sum_{n=0}^\infty \frac{(-1)^n z^{2n}}{(2n)!}.

The series 11z=n=0zn\frac{1}{1-z} = \sum_{n=0}^\infty z^n has R=1R = 1, determined by the singularity at z=1z = 1.

ExampleRadius equals distance to nearest singularity

For f(z)=11+z2f(z) = \frac{1}{1+z^2}, the Taylor series centered at z0=0z_0 = 0 has R=1R = 1 because the nearest singularities are at z=±iz = \pm i with z0(±i)=1|z_0 - (\pm i)| = 1. Centered at z0=2z_0 = 2, the radius would be R=2i=5R = |2 - i| = \sqrt{5}.

RemarkTerm-by-term operations

Within the disk of convergence, one may freely:

  • Differentiate term by term (preserving radius of convergence)
  • Integrate term by term
  • Multiply two power series using the Cauchy product
  • Compose power series (with appropriate radius conditions)