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In mathematics, Abel's theorem for power series relates a limit of a power series to the sum of its coefficients. It is named after Norwegian mathematician Niels Henrik Abel, who proved it in 1826. [1]
Let the Taylor series be a power series with real coefficients . Suppose that the series converges. Then is continuous from the left at that is,
The same theorem holds for complex power series provided that entirely within a single Stolz sector, that is, a region of the open unit disk where for some fixed finite . Without this restriction, the limit may fail to exist: for example, the power series converges to at but is unbounded near any other point of the form so the value at is not the limit as tends to 1 in the whole open disk.
Note that the convergence of implies that the radius of convergence of the power series is at least 1, ensuring convergence for .
Also note that by the uniform limit theorem, is continuous on the real closed interval for by virtue of the uniform convergence of the series on compact subsets of the disk of convergence (by the Weierstrass M-test). Abel's theorem allows us to say more, namely that the restriction of to is continuous.
The Stolz sector has explicit equationand is plotted on the right for various values.
The left end of the sector is , and the right end is . On the right end, it becomes a cone with angle where .
As an immediate consequence of this theorem, if is any nonzero complex number for which the series converges, then it follows that in which the limit is taken from below.
The theorem can also be generalized to account for sums which diverge to infinity; see below.[ citation needed ] If then
However, if the series is only known to be divergent, but for reasons other than diverging to infinity, then the claim of the theorem may fail: take, for example, the power series for
At the series is equal to but
We also remark the theorem holds for radii of convergence other than : let be a power series with radius of convergence and suppose the series converges at Then is continuous from the left at that is,
The utility of Abel's theorem is that it allows us to find the limit of a power series as its argument (that is, ) approaches from below, even in cases where the radius of convergence, of the power series is equal to and we cannot be sure whether the limit should be finite or not. See for example, the binomial series. Abel's theorem allows us to evaluate many series in closed form. For example, when we obtain by integrating the uniformly convergent geometric power series term by term on ; thus the series converges to by Abel's theorem. Similarly, converges to
is called the generating function of the sequence Abel's theorem is frequently useful in dealing with generating functions of real-valued and non-negative sequences, such as probability-generating functions. In particular, it is useful in the theory of Galton–Watson processes.
Let and Then substituting and performing a simple manipulation of the series (summation by parts) results in
Given pick large enough so that for all and note that when lies within the given Stolz angle. Whenever is sufficiently close to we have so that when is both sufficiently close to and within the Stolz angle.
To prove the case for , let and . Since diverges to , we can find, for any , a such that for all . We write, for : Since the first term on the right hand side vanishes as , we can find an such that it exceeds whenever . The second term may be estimated by: Hence, if we let , then for this exceeds . Combining, we get, for any and : This establishes:
Note that in the absence of additional assumptions, the series might not converge when , hence the use of the limit inferior.
Converses to a theorem like Abel's are called Tauberian theorems: There is no exact converse, but results conditional on some hypothesis. The field of divergent series, and their summation methods, contains many theorems of abelian type and of tauberian type.
In the real case, the functions may be replaced by bounded non-negative functions monotonically decreasing with (i.e., ) such that for all [3] . This follows from Abel's uniform convergence test and applying the uniform limit theorem.