König's theorem (complex analysis)

In complex analysis and numerical analysis, König's theorem,[1] named after the Hungarian mathematician Gyula Kőnig, gives a way to estimate simple poles or simple roots of a function. In particular, it has numerous applications in root finding algorithms like Newton's method and its generalization Householder's method.

Statement

Given a meromorphic function defined on |x|<R:

f(x) = \sum_{n=0}^\infty c_nx^n, \qquad c_0\neq 0.

Suppose it only has one simple pole x=r in this disk. If 0<\sigma<1 such that |r|<\sigma R, then

\frac{c_n}{c_{n+1}} = r + o(\sigma^{n+1}).

In particular, we have

\lim_{n\rightarrow \infty} \frac{c_n}{c_{n+1}} = r.

Intuition

Near x=r we expect the function to be dominated by the pole:

f(x)\approx\frac{C}{x-r}=-\frac{C}{r}\,\frac{1}{1-x/r}=-\frac{C}{r}\sum_{n=0}^{\infty}\left[\frac{x}{r}\right]^n.

Matching the coefficients we see that \frac{c_n}{c_{n+1}}\approx r.

References

  1. Householder, Alston Scott (1970). The Numerical Treatment of a Single Nonlinear Equation. McGraw-Hill. p. 115. LCCN 79-103908.
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