König's theorem (complex analysis)

In complex analysis and numerical analysis, König's theorem,{{cite book|last=Householder|first=Alston Scott|year=1970|title=The Numerical Treatment of a Single Nonlinear Equation|publisher=McGraw-Hill|lccn=79-103908|page=115}} 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|:

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

which only has one simple pole x=r in this disk. Then

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

where 0<\sigma<1 such that |r|<\sigma R. In particular, we have

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

Intuition

Recall that

:\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,

which has coefficient ratio equal to \frac{1/r^n}{1/r^{n+1}}=r.

Around its simple pole, a function f(x) = \sum_{n=0}^\infty c_nx^n will vary akin to the geometric series and this will also be manifest in the coefficients of f.

In other words, near x=r we expect the function to be dominated by the pole, i.e.

:f(x)\approx\frac{C}{x-r},

so that \frac{c_n}{c_{n+1}}\approx r.

References

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Category:Theorems in complex analysis