Divergent series

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

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

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

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

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, although 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 of 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 s_n+1 = s_n + a_n+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 A^Σ 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 A^Σ(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 a_n+1 = s_n+1 − s_n of the series a are linear functionals on the sequence s and vice versa, this is equivalent to A^Σ 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 s′_n = s_n+1 − s₀, then A(s) is defined if and only if A(s′) is defined, and A(s) = s₀ + A(s′). Equivalently, whenever a′_n = a_n+1 for all n, then A^Σ(a) = a₀ + A^Σ(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 such that a_i = a′_f(i) for all i, and if there exists some such that a_i = a′_i for all i > N, then A^Σ(a) = A^Σ(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

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 a_k1+ ...+a_kn, 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+ ...+a_n. This is the default definition of convergence of a sequence.

Nørlund means

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

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

then the limit of t_n as n goes to infinity is an average called the Nørlund mean N_p(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 p^k by

then the Cesàro sum C_k is defined by C_k(s) = N_(p^k)(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 C_h is stronger than C_k.

Abelian means

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

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

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

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

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

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

Lindelöf summation

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

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 Σa_nxⁿ 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

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

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

Zeta function regularization

If the series

(for positive values of the a_n) 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 a_i are sometimes the eigenvalues of a self-adjoint operator A with compact resolvent, and f(s) is then the trace of A^−s. 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 , where B_k is a Bernoulli number.^[4]

Integral function means

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

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)=e^x 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

where H is the second derivative of G and c(n)=e^−G(n).

Moment methods

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

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

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

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

Borel summation

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

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

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

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

.

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

.

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

.

Hardy (1949, 4.11)

Mittag-Leffler summation

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

.

Hardy (1949, 4.11)

Ramanujan summation

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

.

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

.

Riesz means

If λ_n form an increasing sequence of real numbers and

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

Vallée-Poussin summability

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

.

Hardy (1949, 4.17).

See also

• 1 − 1 + 2 − 6 + 24 − 120 + · · ·
• Silverman–Toeplitz theorem

Notes

References

• Arteca, G.A.; Fernández, F.M.; Castro, E.A. (1990), Large-Order Perturbation Theory and Summation Methods in Quantum Mechanics, Berlin: Springer-Verlag .
• Baker, Jr., G. A.; Graves-Morris, P. (1996), Padé Approximants, Cambridge University Press .
• Brezinski, C.; Zaglia, M. Redivo (1991), Extrapolation Methods. Theory and Practice, North-Holland .
• Hardy, G. H. (1949), Divergent Series, Oxford: Clarendon Press .
• LeGuillou, J.-C.; Zinn-Justin, J. (1990), Large-Order Behaviour of Perturbation Theory, Amsterdam: North-Holland .
• Volkov, I.I. (2001), "Lindelöf summation method", in Hazewinkel, Michiel, Encyclopedia of Mathematics, Springer, ISBN 978-1-55608-010-4 .
• Zakharov, A.A. (2001), "Abel summation method", in Hazewinkel, Michiel, Encyclopedia of Mathematics, Springer, ISBN 978-1-55608-010-4 .
• Hazewinkel, Michiel, ed. (2001), "Riesz summation method", Encyclopedia of Mathematics, Springer, ISBN 978-1-55608-010-4 

Sequences and series Arithmetic sequence Divergent series 1 + 1 + 1 + 1 + ⋯ 1 + 2 + 3 + 4 + ⋯ Infinite arithmetic series Geometric sequence Convergent series 1/2 − 1/4 + 1/8 − 1/16 + ⋯ 1/2 + 1/4 + 1/8 + 1/16 + ⋯ 1/4 + 1/16 + 1/64 + 1/256 + ⋯ Divergent geometric series 1 + 1 + 1 + 1 + ⋯ 1 + 2 + 4 + 8 + ⋯ 1 − 2 + 4 − 8 + ⋯ 1 − 1 + 1 − 1 + ⋯ (Grandi's series) Power of two Power of 10 Hypergeometric series Generalized hypergeometric series Hypergeometric function of a matrix argument Lauricella hypergeometric series Modular hypergeometric series Riemann's differential equation Theta hypergeometric series Integer sequence Complete Cubic number Factorial Fibonacci numbers Figurate number Heptagonal number Hexagonal number List Lucas number Pell number Pentagonal number Polygonal number Square number Triangular number Other sequence Divergent series 1 − 2 + 3 − 4 + ⋯ 1 − 1 + 2 − 6 + 24 − 120 + ⋯ 1 + 1/2 + 1/3 + 1/4 + ⋯ 1/2 + 1/3 + 1/5 + 1/7 + 1/11 + ⋯ Periodic sequence