A theorem that determines the radius of convergence of a power series.
In mathematics, the Cauchy–Hadamard theorem is a result in complex analysis named after the French mathematicians Augustin Louis Cauchy and Jacques Hadamard, describing the radius of convergence of a power series. It was published in 1821 by Cauchy, but remained relatively unknown until Hadamard rediscovered it. Hadamard's first publication of this result was in 1888; he also included it as part of his 1892 Ph.D. thesis.
Theorem for one complex variable
Consider the formal power series in one complex variable z of the form
where 
Then the radius of convergence
of f at the point a is given by
where lim sup denotes the limit superior, the limit as n approaches infinity of the supremum of the sequence values after the nth position. If the sequence values is unbounded so that the lim sup is ∞, then the power series does not converge near a, while if the lim sup is 0 then the radius of convergence is ∞, meaning that the series converges on the entire plane.
Proof
Without loss of generality assume that
. We will show first that the power series
converges for
, and then that it diverges for
.
First suppose
. Let
not be
or
For any
, there exists only a finite number of
such that
. Now
for all but a finite number of
, so the series
converges if
. This proves the first part.
Conversely, for
,
for infinitely many
, so if
, we see that the series cannot converge because its nth term does not tend to 0.
Theorem for several complex variables
Let
be an n-dimensional vector of natural numbers (
) with
, then
converges with radius of convergence
,
if and only if
of the multidimensional power series 
Proof
From
Set 
Then

This is a power series in one variable
which converges for
and diverges for
. Therefore, by the Cauchy–Hadamard theorem for one variable
![{\displaystyle \limsup _{\mu \to \infty }{\sqrt[{\mu }]{\sum _{\|\alpha \|=\mu }|c_{\alpha }|\rho ^{\alpha }}}=1.}](https://wikimedia.org/api/rest_v1/media/math/render/svg/5d8240e7b6416ded223958156e0c4898c897a5b4)
Setting
gives us an estimate

Because
as 
![{\displaystyle {\sqrt[{\mu }]{|c_{m}|\rho ^{m}}}\leq {\sqrt[{\mu }]{\sum _{\|\alpha \|=\mu }|c_{\alpha }|\rho ^{\alpha }}}\leq {\sqrt[{\mu }]{|c_{m}|\rho ^{m}}}\implies {\sqrt[{\mu }]{\sum _{\|\alpha \|=\mu }|c_{\alpha }|\rho ^{\alpha }}}={\sqrt[{\mu }]{|c_{m}|\rho ^{m}}}\qquad (\mu \to \infty ).}](https://wikimedia.org/api/rest_v1/media/math/render/svg/e7c7516804b55995bd93b6ca82a0e9172ffebf5c)
Therefore
![{\displaystyle \limsup _{\|\alpha \|\to \infty }{\sqrt[{\|\alpha \|}]{|c_{\alpha }|\rho ^{\alpha }}}=\limsup _{\mu \to \infty }{\sqrt[{\mu }]{|c_{m}|\rho ^{m}}}=1.}](https://wikimedia.org/api/rest_v1/media/math/render/svg/9241dab724ce7c4f218435aaccb1ec2a0a25df3a)
Notes
External links