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Introduction Convergence Differentiability Hadamard’s Formula

Power

Ryan C. Daileda

Trinity University

Complex Variables

Daileda Introduction Convergence Differentiability Hadamard’s Formula Introduction

Definition A power series (PS) centered at z C is an expression of the form 0 ∈ ∞ k ak (z z0) , ak C. (1) k − ∈ X=0 The terms in the ak are called the coefficients of (1). { } Remarks.

1 PS can be viewed as infinite-degree generalizations of polynomials, and share many (though not all!) of their properties.

2 We can always viewed as a PS as centered at z0 = 0 via the simple substitution w = z z . − 0

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

Example 1 k The geometric series z is a power series centered at z0 = 0. It converges (normally) for z < 1, and diverges otherwise. P | |

We will see that all power series share similar convergence properties. We begin with a fundamental lemma.

Lemma 1 k If the PS ak z converges at a nonzero point z0, then it converges absolutely and normally on z < z . P | | | 0|

Proof. Let R = z and choose 0 < r < R. | 0| k k Because ak z converges, ak z 0. 0 0 →

P Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

k k In particular, ak z = ak R < 1 for all k K. 0 | | ≥

If z r < R, then for k K we have | |≤ ≥ k k k k k k r r ak z = ak z ak r = ak R < . | | · | | ≤ | | | | R R     k Thus, ak z is (eventually) dominated by the convergent | | k geometric series (r/R) . P P k By the M-test, the series ak z converges absolutely and uniformly for z r. | |≤ P

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

Corollary 1 k If the PS ak z diverges at a nonzero point z0, then it diverges for all z > z . | | P| 0| k Proof. Suppose, instead, that ak z converges for some z > z . | | | 0| P It then converges at z0 by the Lemma, contradicting our hypothesis.

Definition k Let ak z be a power series and

P k R = sup z : ak z converges , | | n o X k the of ak z .

Remark. It is possible to havePR = 0 or R = . ∞ Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Convergence of Power Series

Theorem 1 k The radius of convergence R of a PS ak z is uniquely defined by the following properties: k P 1. ak z converges absolutely and normally for z < R; k | | 2. ak z diverges for z > R. P | | P k Proof. By definition, ak z diverges for z > R, so 2 holds. | | As for 1, let 0 < r < PR. Because R is the supremum, there is a z0 R so that r < z0 k | |≤ | | and ak z0 converges. For z r, the conclusion follows from the fundamental Lemma. |P|≤ (Uniqueness is an easy exercise.)

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Examples

Example 2 ∞ zk Determine the radius of convergence of k . k k2 X=1

Solution. We appeal to the for :

k k z z z L = lim k = lim |k | = | | k→∞ k2 k→∞ √ 2 s 2 k

The series converges absolutely when L < 1 and diverges if L > 1.

It follows that the radius of convergence is R = 2 .

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

Example 3 ∞ zk Find the radius of convergence of the exponential series . k k! X=0

Solution. We use the for absolute convergence:

zk+1 zk z L = lim = lim | | = 0 k→∞ (k + 1)! k! k→∞ k + 1 

for all z C. ∈ Because L < 1, the ratio test implies the series converges absolutely for all z C. ∈ Thus the radius of convergence is R = . ∞

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Differentiability of Power Series

Theorem 2 k Let ak z be a power series with positive radius of convergence R. The P ∞ k f (z)= ak z k X=0 is analytic on z < R and can be differentiated term-by-term, infinitely often:| |

m ∞ ∞ m ∞ (m) d k d k k! k−m f (z)= m ak z = m ak z = ak z , dz k k dz k m (k m)! X=0 X=0 X= − with absolute and for z < R. | |

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Proof

The terms in a power series are entire functions, and power series converge normally inside their radii of convergence. The result is an immediate consequence of the theorem on normal convergence of analytic functions and its corollaries. Remarks.

1 Theorem 2 becomes a result on all power series after the change of variable z z z . → − 0 2 According to Theorem 2, deriving a PS cannot decrease its radius of convergence. Could it possibly increase?

3 We know that analytic functions on disks have analytic antiderivatives. Might we be able to integrate term-by-term as well?

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Hadamard’s Formula

It turns out that there is a simple formula for the radius of convergence that will answer these questions.

Theorem 3 (Hadamard’s Formula) k The radius of convergence of the power series ak z is given by

−1 P k limsup ak . k | |  →∞  p

k Proof. Let L = limsup ak < . | | ∞ p Suppose that 0 < z < 1/L. | |

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

Choose L < R < 1/ z . Note that Rz < 1. | | | |

k Then there is a K so that supk K ak < R. ≥ | | p k In particular, ak < R for k K. Hence | | ≥ p k k ak z < Rz for k K, | | ≥

k and ak z is eventually dominated by the convergent geometric series Rz k . | | P P k Thus, ak z converges when z < 1/L. | | P

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

On the other hand, suppose z > 1/L, so that 1/ z < L. | | | |

k We know that L supk K ak for all K, by definition. ≤ ≥ | | p nK So for each K we can choose nK K so that 1/ z < an . ≥ | | | K | p This means we can find arbitrarily large values of k for which k 1/ z < ak . | | | | p k k k That is, ak z > 1 infinitely often, so that ak z 0, and ak z | | 6→ diverges. P

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Examples

Example 4 k k− Show that ak z and its derived series kak z 1 have the same radius of convergence. P P Solution. We begin by writing

∞ ∞ k−1 1 k kak z = kak z , k z k X=0 X=0 and note that both series converge for the same values of z. We apply Hadamard in the second:

k k limsup kak = limsup ak k→∞ | | k→∞ | | p p k because lim √k = 1.

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

It follows that the original series and the derived series have the same value of R (the reciprocal of the common lim sup).

Example 5 k ak k+1 Show that ak z and the integrated series k+1 z have the same radius of convergence. P P

Solution. The solution is nearly identical, except that we use the fact that k k limsup ak /(k + 1) = limsup ak , k→∞ | | k→∞ | |

k p p since limk→∞ √k + 1 = 1.

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula Towers of Power Series

k Suppose f (z)= ak z has positive radius of convergence R. P Inductively applying Example 4 in Theorem 2, we find that f (z) is analytic for z < R, all of its derivatives are given by formal | | differentiation of PS, and all have radius of convergence R as well.

ak k+1 By Example 5, F (z)= k+1 z is also analytic, with radius R. By Theorem 2, F ′(z)= f (z). P

Again by induction, we can formally antidifferentiate f (z) arbtrarily often to obtain repeated PS antiderivatives of f (z), all with radius R.

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

This yields a tower of power series, all with common radius of convergence R:

f (−2) f (−1) f f ′ f ′′ ···d −→/dx d−→/dx d−→/dx d−→/dx d−→/dx d−→/dx · · ·

Each term is obtained by formally differentiating or integrating the adjacent terms. Example 6

Find a power series representation for Arctan z centered at z0 = 0.

Solution. We know that ∞ d 1 z k z2k Arctan = 2 = ( 1) dz 1+ z k − X=0 for z2 < 1 z < 1. | | ⇐⇒ | |

Daileda Power Series Introduction Convergence Differentiability Hadamard’s Formula

It follows that

∞ ∞ k k k ( 1) k Arctan z = ( 1) z2 dz = − z2 +1 + C, k − k 2k + 1 Z X=0 X=0 for z < 1. Setting z = 0 we find that C = 0, so that | | ∞ k ( 1) k Arctan z = − z2 +1 for z < 1 . k 2k + 1 | | X=0

Daileda Power Series