Abel's Theorem (power series at x=1)

If a series sum a_n converges, then sum a_n r^n tends to the same limit as r→1−
Abel's Theorem (power series at x=1)

Abel’s Theorem (one standard form): Let (an)(a_n) be a real or complex sequence such that the n=0an\sum_{n=0}^\infty a_n to ss. For 0r<10\le r<1, define f(r)=n=0anrn, f(r)=\sum_{n=0}^\infty a_n r^n, which converges for r<1|r|<1. Then limr1f(r)=s. \lim_{r\to 1^-} f(r)=s.

This theorem connects ordinary convergence of an\sum a_n to the boundary behavior of the associated power series with radius 11. It is one of the basic results explaining why power series behave well as the variable approaches the boundary from within.

Proof sketch: Let sn=k=0naks_n=\sum_{k=0}^n a_k. One can rewrite (Abel summation) n=0anrn=(1r)n=0snrn. \sum_{n=0}^\infty a_n r^n = (1-r)\sum_{n=0}^\infty s_n r^n. Since snss_n\to s, the sequence (sn)(s_n) is . As r1r\to 1^-, the weights (1r)rn(1-r)r^n form an approximate “probability distribution” concentrating on large nn, forcing (1r)snrns(1-r)\sum s_n r^n \to s.