Borel summation


In mathematics, Borel summation is a summation method for divergent series, introduced by. It is particularly useful for summing divergent asymptotic series, and in some sense gives the best possible sum for such series. There are several variations of this method that are also called Borel summation, and a generalization of it called Mittag-Leffler summation.

Definition

There are three slightly different methods called Borel summation. They differ in which series they can sum, but are consistent, meaning that if two of the methods sum the same series they give the same answer.
Throughout let A denote a formal power series
and define the Borel transform of A to be its equivalent exponential series

Borel's exponential summation method

Let An denote the partial sum
A weak form of Borel's summation method defines the Borel sum of A to be
If this converges at zC to some a, we say that the weak Borel sum of A converges at z, and write.

Borel's integral summation method

Suppose that the Borel transform converges for all positive real numbers to a function growing sufficiently slowly that the following integral is well defined, the Borel sum of A is given by
If the integral converges at zC to some a, we say that the Borel sum of A converges at z, and write.

Borel's integral summation method with analytic continuation

This is similar to Borel's integral summation method, except that the Borel transform need not converge for all t, but converges to an analytic function of t near 0 that can be analytically continued along the positive real axis.

Basic properties

Regularity

The methods and are both regular summation methods, meaning that whenever A converges, then the Borel sum and weak Borel sum also converge, and do so to the same value. i.e.
Regularity of is easily seen by a change in order of integration, which is valid due to absolute convergence: if A is convergent at z, then
where the rightmost expression is exactly the Borel sum at z.
Regularity of and imply that these methods provide analytic extensions to A.

Nonequivalence of Borel and weak Borel summation

Any series A that is weak Borel summable at zC is also Borel summable at z. However, one can construct [|examples] of series which are divergent under weak Borel summation, but which are Borel summable. The following theorem characterises the equivalence of the two methods.

Relationship to other summation methods

There are always many different functions with any given asymptotic expansion. However, there is sometimes a best possible function, in the sense that the errors in the finite-dimensional approximations are as small as possible in some region. Watson's theorem and Carleman's theorem show that Borel summation produces such a best possible sum of the series.

Watson's theorem

Watson's theorem gives conditions for a function to be the Borel sum of its asymptotic series. Suppose that f is a function satisfying the following conditions:
is bounded by
for all z in the region.
Then Watson's theorem says that in this region f is given by the Borel sum of its asymptotic series. More precisely, the series for the Borel transform converges in a neighborhood of the origin, and can be analytically continued to the positive real axis, and the integral defining the Borel sum converges to f for z in the region above.
Slightly more generally, f is still determined by its asymptotic series if the n! in the error estimate above is replaced by kn! provided the condition |arg| < /2 + ε is replaced by |arg| < k/2 + ε. This is in some sense best possible, as there are counterexamples if the number k/2 is replaced by any smaller number.

Carleman's theorem

Carleman's theorem shows that a function is uniquely determined by an asymptotic series in a sector provided the errors in the finite order approximations do not grow too fast. More precisely it states that if f is analytic in the interior of the sector |z| < C, Re > 0 and |f| < |bnz|n in this region for all n, then f is zero provided that the series 1/b0 + 1/b1 + ... diverges.
Carleman's theorem gives a summation method for any asymptotic series whose terms do not grow too fast, as the sum can be defined to be the unique function with this asymptotic series in a suitable sector if it exists. Borel summation is slightly weaker than special case of this when bn =cn for some constant c. More generally one can define summation methods slightly stronger than Borel's by taking the numbers bn to be slightly larger, for example bn = cnlog n or bn =cnlog n log log n. In practice this generalization is of little use, as there are almost no natural examples of series summable by this method that cannot also be summed by Borel's method.

Example

The function f = exp has the asymptotic series 0 + 0z+ ... with an error bound of the form above in the region |arg| < θ for any θ < /2, but is not given by the Borel sum of its asymptotic series. This shows that the number /2 in Watson's theorem cannot be replaced by any smaller number.

Examples

The geometric series

Consider the geometric series
which converges to 1/ for |z| < 1. The Borel transform is
from which we obtain the Borel sum
which converges in the larger region Re < 1, giving an analytic continuation of the original series.
Considering instead the weak Borel transform, the partial sums are given by AN = /, and so the weak Borel sum is
where, again, convergence is on Re < 1. Alternatively this can be seen by appealing to part 2 of the equivalence theorem, since for Re < 1

An alternating factorial series

Consider the series
then A does not converge for any nonzero zC. The Borel transform is
for |t| < 1, which can be analytically continued to all t ≥ 0. So the Borel sum is
.
This integral converges for all z ≥ 0, so the original divergent series is Borel summable for all such z. This function has an asymptotic expansion as z tends to 0 that is given by the original divergent series. This is a typical example of the fact that Borel summation will sometimes "correctly" sum divergent asymptotic expansions.
Again, since
for all z, the equivalence theorem ensures that weak Borel summation has the same domain of convergence, z ≥ 0.

An example in which equivalence fails

The following example extends on that given in. Consider
After changing the order of summation, the Borel transform is given by
At z = 2 the Borel sum is given by
where S is the Fresnel integral. Via the [|convergence theorem] along chords, the Borel integral converges for all z ≤ 2.
For the weak Borel sum we note that
holds only for z < 1, and so the weak Borel sum converges on this smaller domain.

Existence results and the domain of convergence

Summability on chords

If a formal series A is Borel summable at z0C, then it is also Borel summable at all points on the chord Oz0 connecting z0 to the origin. Moreover, there exists a function a analytic throughout the disk with radius Oz0 such that
for all z = θz0, θ ∈ .
An immediate consequence is that the domain of convergence of the Borel sum is a star domain in C. More can be said about the domain of convergence of the Borel sum, than that it is a star domain, which is referred to as the Borel polygon, and is determined by the singularities of the series A.

The Borel polygon

Suppose that A has strictly positive radius of convergence, so that it is analytic in a non-trivial region containing the origin, and let SA denote the set of singularities of A. This means that PSA if and only if A can be continued analytically along the open chord from 0 to P, but not to P itself. For PSA, let LP denote the line passing through P which is perpendicular to the chord OP. Define the sets
the set of points which lie on the same side of LP as the origin. The Borel polygon of A is the set
An alternative definition was used by Borel and Phragmén. Let denote the largest star domain on which there is an analytic extension of A, then is the largest subset of such that for all the interior of the circle with diameter OP is contained in. Referring to the set as a polygon is somewhat of a misnomer, since the set need not be polygonal at all; if, however, A has only finitely many singularities then will in fact be a polygon.
The following theorem, due to Borel and Phragmén provides convergence criteria for Borel summation.
Note that summability for depends on the nature of the point.

Example 1

Let ωiC denote the m-th roots of unity, i = 1, ..., m, and consider
which converges on BC. Seen as a function on C, A has singularities at SA = , and consequently the Borel polygon is given by the regular m-gon centred at the origin, and such that 1 ∈ C is a midpoint of an edge.

Example 2

The formal series
converges for all . It can however be shown that A does not converge for any point zC such that z2n = 1 for some n. Since the set of such z is dense in the unit circle, there can be no analytic extension of A outside of B. Subsequently the largest star domain to which A can be analytically extended is S = B from which one obtains. In particular one sees that the Borel polygon is not polygonal.

A Tauberian theorem

A Tauberian theorem provides conditions under which convergence of one summation method implies convergence under another method. The principal Tauberian theorem for Borel summation provides conditions under which the weak Borel method implies convergence of the series.

Applications

Borel summation finds application in perturbation expansions in quantum field theory. In particular in 2-dimensional Euclidean field theory the Schwinger functions can often be recovered from their perturbation series using Borel summation. Some of the singularities of the Borel transform are related to instantons and renormalons in quantum field theory.

Generalizations

Borel summation requires that the coefficients do not grow too fast: more precisely, an has to be bounded by n!Cn+1 for some C. There is a variation of Borel summation that replaces factorials n! with ! for some positive integer k, which allows the summation of some series with an bounded by !Cn+1 for some C. This generalization is given by Mittag-Leffler summation.
In the most general case, Borel summation is generalized by Nachbin resummation, which can be used when the bounding function is of some general type, instead of being exponential type.