Divergent series

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For an elementary calculus-based introduction, see Divergent series on Wikiversity

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Les séries divergentes sont en général quelque chose de bien fatal et c’est une honte qu’on ose y fonder aucune démonstration. ("Divergent series are in general something fatal, and it is a disgrace to base any proof on them." Often translated as "Divergent series are an invention of the devil …")

right, N. H. Abel, letter to Holmboe, January 1826, reprinted in volume 2 of his collected papers.

In mathematics, a divergent series is an infinite series that is not convergent, meaning that the infinite sequence of the partial sums of the series does not have a finite limit.

If a series converges, the individual terms of the series must approach zero. Thus any series in which the individual terms do not approach zero diverges. However, convergence is a stronger condition: not all series whose terms approach zero converge. A counterexample is the harmonic series

1 + \frac{1}{2} + \frac{1}{3} + \frac{1}{4} + \frac{1}{5} + \cdots =\sum_{n=1}^\infty\frac{1}{n}.

The divergence of the harmonic series was proven by the medieval mathematician Nicole Oresme.

In specialized mathematical contexts, values can be objectively assigned to certain series whose sequence of partial sums diverges, this is to make meaning of the divergence of the series. A summability method or summation method is a partial function from the set of series to values. For example, Cesàro summation assigns Grandi's divergent series

1 - 1 + 1 - 1 + \cdots

the value 1/2. Cesàro summation is an averaging method, in that it relies on the arithmetic mean of the sequence of partial sums. Other methods involve analytic continuations of related series. In physics, there are a wide variety of summability methods; these are discussed in greater detail in the article on regularization.

History

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... before Cauchy mathematicians asked not 'How shall we define 1−1+1...?' but 'What is 1−1+1...?' and that this habit of mind led them into unnecessary perplexities and controversies which were often really verbal.

thumb, G. H. Hardy, Divergent series, page 6

Before the 19th century divergent series were widely used by Euler and others, but often led to confusing and contradictory results. A major problem was Euler's idea that any divergent series should have a natural sum, without first defining what is meant by the sum of a divergent series. Cauchy eventually gave a rigorous definition of the sum of a (convergent) series, and for some time after this divergent series were mostly excluded from mathematics. They reappeared in 1886 with Poincaré's work on asymptotic series. In 1890 Cesaro realized that one could give a rigorous definition of the sum of some divergent series, and defined Cesaro summation. (This was not the first use of Cesaro summation which was used implicitly by Frobenius in 1880; Cesaro's key contribution was not the discovery of this method but his idea that one should give an explicit definition of the sum of a divergent series.) In the years after Cesaro's paper several other mathematicians gave other definitions of the sum of a divergent series, though these are not always compatible: different definitions can give different answers for the sum of the same divergent series, so when talking about the sum of a divergent series it is necessary to specify which summation method one is using.

Theorems on methods for summing divergent series

A summability method M is regular if it agrees with the actual limit on all convergent series. Such a result is called an abelian theorem for M, from the prototypical Abel's theorem. More interesting and in general more subtle are partial converse results, called tauberian theorems, from a prototype proved by Alfred Tauber. Here partial converse means that if M sums the series Σ, and some side-condition holds, then Σ was convergent in the first place; without any side condition such a result would say that M only summed convergent series (making it useless as a summation method for divergent series).

The operator giving the sum of a convergent series is linear, and it follows from the Hahn–Banach theorem that it may be extended to a summation method summing any series with bounded partial sums. This fact is not very useful in practice since there are many such extensions, inconsistent with each other, and also since proving such operators exist requires invoking the axiom of choice or its equivalents, such as Zorn's lemma. They are therefore nonconstructive.

The subject of divergent series, as a domain of mathematical analysis, is primarily concerned with explicit and natural techniques such as Abel summation, Cesàro summation and Borel summation, and their relationships. The advent of Wiener's tauberian theorem marked an epoch in the subject, introducing unexpected connections to Banach algebra methods in Fourier analysis.

Summation of divergent series is also related to extrapolation methods and sequence transformations as numerical techniques. Examples for such techniques are Padé approximants, Levin-type sequence transformations, and order-dependent mappings related to renormalization techniques for large-order perturbation theory in quantum mechanics.

Properties of summation methods

Summation methods usually concentrate on the sequence of partial sums of the series. While this sequence does not converge, we may often find that when we take an average of larger and larger numbers of initial terms of the sequence, the average converges, and we can use this average instead of a limit to evaluate the sum of the series. So in evaluating a = a0 + a1 + a2 + ..., we work with the sequence s, where s0 = a0 and sn+1 = sn + an+1. In the convergent case, the sequence s approaches the limit a. A summation method can be seen as a function from a set of sequences of partial sums to values. If A is any summation method assigning values to a set of sequences, we may mechanically translate this to a series-summation method AΣ that assigns the same values to the corresponding series. There are certain properties it is desirable for these methods to possess if they are to arrive at values corresponding to limits and sums, respectively.

  1. Regularity. A summation method is regular if, whenever the sequence s converges to x, A(s) = x. Equivalently, the corresponding series-summation method evaluates AΣ(a) = x.
  2. Linearity. A is linear if it is a linear functional on the sequences where it is defined, so that A(k r + s) = k A(r) + A(s) for sequences r, s and a real or complex scalar k. Since the terms an+1 = sn+1sn of the series a are linear functionals on the sequence s and vice versa, this is equivalent to AΣ being a linear functional on the terms of the series.
  3. Stability (also called translativity). If s is a sequence starting from s0 and s′ is the sequence obtained by omitting the first value and subtracting it from the rest, so that sn = sn+1s0, then A(s) is defined if and only if A(s′) is defined, and A(s) = s0 + A(s′). Equivalently, whenever an = an+1 for all n, then AΣ(a) = a0 + AΣ(a′).[1][2] Another way of stating this is that the shift rule must be valid for the series that are summable by this method.

The third condition is less important, and some significant methods, such as Borel summation, do not possess it.[3]

One can also give a weaker alternative to the last condition.

  1. Finite re-indexability. If a and a′ are two series such that there exists a bijection  f: \mathbb{N} \rightarrow \mathbb{N} such that ai = af(i) for all i, and if there exists some  N \in \mathbb{N} such that ai = ai for all i > N, then AΣ(a) = AΣ(a′). (In other words, a′ is the same series as a, with only finitely many terms re-indexed.) Note that this is a weaker condition than Stability, because any summation method that exhibits Stability also exhibits Finite re-indexability, but the converse is not true.

A desirable property for two distinct summation methods A and B to share is consistency: A and B are consistent if for every sequence s to which both assign a value, A(s) = B(s). If two methods are consistent, and one sums more series than the other, the one summing more series is stronger.

There are powerful numerical summation methods that are neither regular nor linear, for instance nonlinear sequence transformations like Levin-type sequence transformations and Padé approximants, as well as the order-dependent mappings of perturbative series based on renormalization techniques.

Taking regularity, linearity and stability as axioms, it is possible to sum many divergent series by elementary algebraic manipulations. This partly explains why many different summation methods give the same answer for certain series.

For instance, whenever r ≠ 1, the geometric series

\begin{align}
G(r,c) & = \sum_{k=0}^\infty cr^k & & \\
 & = c + \sum_{k=0}^\infty cr^{k+1} & & \mbox{ (stability) } \\
 & = c + r \sum_{k=0}^\infty cr^k & & \mbox{ (linearity) } \\
 & = c + r \, G(r,c), & & \mbox{ hence } \\
G(r,c) & = \frac{c}{1-r} ,\mbox{unless it is infinite} & & \\
\end{align}

can be evaluated regardless of convergence. More rigorously, any summation method that possesses these properties and which assigns a finite value to the geometric series must assign this value. However, when r is a real number larger than 1, the partial sums increase without bound, and averaging methods assign a limit of ∞.

Classical summation methods

The two classical summation methods for series, ordinary convergence and absolute convergence, define the sum as a limit of certain partial sums. Strictly speaking these are not really summation methods for divergent series, as by definition a series is divergent only if these methods do not work, but are included for completeness. Most but not all summation methods for divergent series extend these methods to a larger class of sequences.

Absolute convergence

Absolute convergence defines the sum of a sequence (or set) of numbers to be the limit of the net of all partial sums ak1+ ...+akn, if it exists. It does not depend on the order of the elements of the sequence, and a classical theorem says that a sequence is absolutely convergent if and only if the sequence of absolute values is convergent in the standard sense.

Sum of a series

Cauchy's classical definition of the sum of a series a0+a1+... defines the sum to be the limit of the sequence of partial sums a0+ ...+an. This is the default definition of convergence of a sequence.

Nørlund means

Suppose pn is a sequence of positive terms, starting from p0. Suppose also that

\frac{p_n}{p_0+p_1 + \cdots + p_n} \rightarrow 0.

If now we transform a sequence s by using p to give weighted means, setting

t_m = \frac{p_m s_0 + p_{m-1}s_1 + \cdots + p_0 s_m}{p_0+p_1+\cdots+p_m}

then the limit of tn as n goes to infinity is an average called the Nørlund mean Np(s).

The Nørlund mean is regular, linear, and stable. Moreover, any two Nørlund means are consistent.

Cesàro summation

The most significant of the Nørlund means are the Cesàro sums. Here, if we define the sequence pk by

p_n^k = {n+k-1 \choose k-1}

then the Cesàro sum Ck is defined by Ck(s) = N(pk)(s). Cesàro sums are Nørlund means if k ≥ 0, and hence are regular, linear, stable, and consistent. C0 is ordinary summation, and C1 is ordinary Cesàro summation. Cesàro sums have the property that if h > k, then Ch is stronger than Ck.

Abelian means

Suppose λ = {λ0, λ1, λ2, ...} is a strictly increasing sequence tending towards infinity, and that λ0 ≥ 0. Suppose

f(x) = \sum_{n=0}^\infty a_n \exp(-\lambda_n x)

converges for all real numbers x>0. Then the Abelian mean Aλ is defined as

A_\lambda(s) = \lim_{x \rightarrow 0^{+}} f(x).

More generally, if the series for f only converges for large x but can be analytically continued to all positive real x, then one can still define the sum of the divergent series by the limit above.

A series of this type is known as a generalized Dirichlet series; in applications to physics, this is known as the method of heat-kernel regularization.

Abelian means are regular and linear, but not stable and not always consistent between different choices of λ. However, some special cases are very important summation methods.

Abel summation

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If λn = n, then we obtain the method of Abel summation. Here

f(x) = \sum_{n=0}^\infty a_n e^{-nx} = \sum_{n=0}^\infty a_n z^n,

where z = exp(−x). Then the limit of ƒ(x) as x approaches 0 through positive reals is the limit of the power series for ƒ(z) as z approaches 1 from below through positive reals, and the Abel sum A(s) is defined as

A(s) = \lim_{z \rightarrow 1^{-}} \sum_{n=0}^\infty a_n z^n.

Abel summation is interesting in part because it is consistent with but more powerful than Cesàro summation: A(s) = Ck(s) whenever the latter is defined. The Abel sum is therefore regular, linear, stable, and consistent with Cesàro summation.

Lindelöf summation

If λn = n log(n), then (indexing from one) we have

f(x) = a_1 + a_2 2^{-2x} + a_3 3^{-3x} + \cdots .

Then L(s), the Lindelöf sum (Volkov 2001), is the limit of ƒ(x) as x goes to zero. The Lindelöf sum is a powerful method when applied to power series among other applications, summing power series in the Mittag-Leffler star.

If g(z) is analytic in a disk around zero, and hence has a Maclaurin series G(z) with a positive radius of convergence, then L(G(z)) = g(z) in the Mittag-Leffler star. Moreover, convergence to g(z) is uniform on compact subsets of the star.

Analytic continuation

Several summation methods involve taking the value of an analytic continuation of a function.

Analytic continuation of power series

If Σanxn converges for small complex x and can be analytically continued along some path from x=0 to the point x=1, then the sum of the series can be defined to be the value at x=1. This value may depend on the choice of path.

Euler summation

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Euler summation is essentially an explicit form of analytic continuation. If a power series converges for small complex z and can be analytically continued to the open disk with diameter from −1/(q+1) to 1 and is continuous at 1, then its value at is called the Euler or (E,q) sum of the series a0+.... Euler used it before analytic continuation was defined in general, and gave explicit formulas for the power series of the analytic continuation.

The operation of Euler summation can be repeated several times, and this is essentially equivalent to taking an analytic continuation of a power series to the point z=1.

Analytic continuation of Dirichlet series

This method defines the sum of a series to be the value of the analytic continuation of the Dirichlet series

f(s) = \frac{a_1}{1^s} + \frac{a_2}{2^s} + \frac{a_3}{3^s}+ \cdots

at s=0, if this exists and is unique. This method is sometimes confused with zeta function regularization.

Zeta function regularization

If the series

f(s) = \frac{1}{a_1^s} + \frac{1}{a_2^s} + \frac{1}{a_3^s}+ \cdots

(for positive values of the an) converges for large real s and can be analytically continued along the real line to s=−1, then its value at s=−1 is called the zeta regularized sum of the series a1+a2+... Zeta function regularization is nonlinear. In applications, the numbers ai are sometimes the eigenvalues of a self-adjoint operator A with compact resolvent, and f(s) is then the trace of As. For example, if A has eigenvalues 1, 2, 3, ... then f(s) is the Riemann zeta function, ζ(s), whose value at s=−1 is −1/12, assigning a value to the divergent series is 1 + 2 + 3 + 4 + ⋯. Other values of s can also be used to assign values for the divergent sums ζ(0)=1 + 1 + 1 + ... = -1/2, ζ(-2)=1 + 4 + 9 + ... = 0 and in general \zeta(-s)=\sum_{n=1}^\infty n^s=1^s + 2^s + 3^s + \ldots = -\frac{B_{s+1}}{s+1}, where Bk is a Bernoulli number.[4]

Integral function means

If J(x)=Σpnxn is an integral function, then the J sum of the series a0+... is defined to be

\lim_{x\rightarrow\infty}\frac{\sum_np_n(a_0+\cdots+a_n)x^n}{\sum_np_nx^n},

if this limit exists.

There is a variation of this method where the series for J has a finite radius of convergence r and diverges at x=r. In this case one defines the sum as above, except taking the limit as x tends to r rather than infinity.

Borel summation

In the special case when J(x)=ex this gives one (weak) form of Borel summation.

Valiron's method

Valiron's method is a generalization of Borel summation to certain more general integral functions J. Valiron showed that under certain conditions it is equivalent to defining the sum of a series as

 \lim_{n\rightarrow +\infty}\sqrt{\frac{H(n)}{2\pi}}\sum_{h\in Z} e^{-h^2H(n)/2}(a_0+\cdots+a_h)

where H is the second derivative of G and c(n)=eG(n).

Moment methods

Suppose that dμ is a measure on the real line such that all the moments

\mu_n=\int x^n d\mu

are finite. If a0+a1+... is a series such that

a(x)=\frac{a_0x^0}{\mu_0}+\frac{a_1x^1}{\mu_1}+\cdots

converges for all x in the support of μ, then the (dμ) sum of the series is defined to be the value of the integral

\int a(x)d\mu

if it is defined. (Note that if the numbers μn increase too rapidly then they do not uniquely determine the measure μ.)

Borel summation

For example, if dμ = exdx for positive x and 0 for negative x then μn = n!, and this gives one version of Borel summation, where the value of a sum is given by

\int_0^\infty e^{-t}\sum\frac{a_nt^{n}}{n!}dt.

There is a generalization of this depending on a variable α, called the (B',α) sum, where the sum of a series a0+... is defined to be

\int_0^\infty e^{-t}\sum\frac{a_nt^{n\alpha}}{\Gamma(n\alpha+1)}dt

if this integral exists. A further generalization is to replace the sum under the integral by its analytic continuation from small t.

Miscellaneous methods

Hausdorff transformations

Hardy (1949, chapter 11).

Hölder summation

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Hutton's method

In 1812 Hutton introduced a method of summing divergent series by starting with the sequence of partial sums, and repeated applying the operation of replacing a sequence s0, s1, ... by the sequence of averages (s0+ s1)/2, (s1+ s2)/2, ..., and then taking the limit (Hardy 1949, p. 21).

Ingham summability

The series a1+... is called Ingham summable to s if

\lim_{x\rightarrow \infty} \sum_{1\le n\le x} a_n\frac{n}{x}\left[\frac{x}{n}\right] = s.

Albert Ingham showed that if δ is any positive number then (C,−δ) (Cesaro) summability implies Ingham summability, and Ingham summability implies (C,δ) summability Hardy (1949, Appendix II).

Lambert summability

The series a1+... is called Lambert summable to s if

\lim_{y\rightarrow 0^+} \sum_{n\ge 1} a_n\frac{nye^{-ny}}{1-e^{-ny}} = s.

If a series is (C,k) (Cesaro) summable for any k then it is Lambert summable to the same value, and if a series is Lambert summable then it is Abel summable to the same value Hardy (1949, Appendix II).

Le Roy summation

The series a0+... is called Le Roy summable to s if

\lim_{\zeta\rightarrow 1^-} \sum_{n} \frac{\Gamma(1+\zeta n)}{\Gamma(1+ n)}a_n = s.

Hardy (1949, 4.11)

Mittag-Leffler summation

The series a0+... is called Mittag-Leffler (M) summable to s if

\lim_{\delta\rightarrow 0} \sum_{n} \frac{a_n}{\Gamma(1+\delta n)} = s.

Hardy (1949, 4.11)

Ramanujan summation

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Ramanujan summation is a method of assigning a value to divergent series used by Ramanujan and based on the Euler–Maclaurin summation formula. The Ramanujan sum of a series f(0) + f(1) + ... depends not only on the values of f at integers, but also on values of the function f at non-integral points, so it is not really a summation method in the sense of this article.

Riemann summability

The series a1+... is called (R,k) (or Riemann) summable to s if

\lim_{h\rightarrow 0} \sum_{n} a_n\left(\frac{\sin nh}{nh}\right)^k = s.

Hardy (1949, 4.17). The series a1+... is called R2 summable to s if

\lim_{h\rightarrow 0} \frac{2}{\pi}\sum_{ n}\frac{\sin^2 nh}{n^2h}(a_1+\cdots a_n) = s.

Riesz means

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If λn form an increasing sequence of real numbers and

A_\lambda(x)=a_0+\cdots+a_n \text{ for } \lambda_n<x\le \lambda_{n+1}

then the Riesz (R,λ,κ) sum of the series a0+... is defined to be

\lim_{\omega\rightarrow\infty} \frac{\kappa}{\omega^\kappa}\int_0^\omega A_\lambda(x)(\omega-x)^{\kappa-1}dx

Vallée-Poussin summability

The series a1+... is called VP (or Vallée-Poussin) summable to s if

\lim_{m\rightarrow \infty} a_0+a_1\frac{m}{m+1}+a_2\frac{m(m-1)}{(m+1)(m+2)}+\cdots = s.

Hardy (1949, 4.17).

See also

Notes

  1. see Michon's Numericana http://www.numericana.com/answer/sums.htm
  2. see also Translativity at The Encyclopedia of Mathematics wiki (Springer) [1]
  3. Lua error in package.lua at line 80: module 'strict' not found.. Muraev observes that Borel summation is translative in one of the two directions: augmenting a series by a zero placed at its start does not change the summability or value of the series. However, he states "the converse is false".
  4. Lua error in package.lua at line 80: module 'strict' not found.

References

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