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A series converges iff each of its tail series converges, and the sum splits as plus the -th tail
Statement
Let be a sequence of reals with partial sums , let , and let be the partial sums of the -th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series). Then:
- for every ;
- converges if and only if its -th tail series converges, and in that case
- hence the following are equivalent: converges; every tail series of converges; some tail series of converges.
In words: convergence of a series is a property of its terms from any index on, and changing finitely many terms changes the sum but not the fact of convergence.
Facts & Assumptions
Given: A sequence of reals, a natural number , the partial sums and the partial sums of the -th tail series (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Splitting of finite sums: if then (Laws of finite sums and finite products), and is by definition (Finite sums and finite products, by recursion).
Convergence depends only on the tail: a sequence converges to if and only if its -th tail converges to (Convergence depends only on the tail, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Algebra of limits: if and then and (Algebra of limits: sums, scalar multiples, products and quotients).
A constant sequence converges to , immediately from the definition of a limit (Limits and Cauchy sequences of reals).
Proof
Fix and put , so that and .
The family is the -th tail of the sequence of partial sums.
Splitting the partial sum at gives .
Suppose converges, say ; then the -th tail converges to .
Claim 1 follows: for every .
The constant sequence with value converges to , so , and the -th tail series converges with sum .
Conversely, suppose the -th tail series converges, say ; then by the same two rules.
So the -th tail of converges to , hence itself converges to and converges.
Claim 2 follows: the two convergences are equivalent, and when they hold the sums are related by , which is the displayed identity.
Claim 3 follows as well: if converges then by claim 2 every tail series converges; every tail series converging trivially gives some tail series converging, the family of tails being indexed by all of ; and if some tail series, say the -th, converges then by claim 2 again converges.
Remarks
-
Where the hypothesis-free character comes from. Nothing here assumes the terms have a sign or that any series converges: claim 1 is an identity between finite sums, valid always, and claims 2 and 3 are read off from it by two standard limit rules. That is why the lemma may be used to move between a series and its tails inside proofs that have not yet decided the convergence question.
-
The sum does change. Only the fact of convergence is tail invariant. The identity in claim 2 is the exact bookkeeping: discarding the first terms lowers the sum by , and no more.
Depends on
- Series, partial sums, convergence and the sum, divergence, and the tail series
- Convergence depends only on the tail
- Finite sums and finite products, by recursion
- Laws of finite sums and finite products
- Algebra of limits: sums, scalar multiples, products and quotients
- Limits and Cauchy sequences of reals
- Sequences of reals: bounded, eventually, frequently, tails, subsequences
Used by
- Integral test as an equivalence with an improper integral Corollary
- Whenever the ratio test decides, the root test decides the same way, and the converse fails Corollary
- aₖ = 2^-k+(-1)ᵏ has ratio limsup 2 and liminf 1/8, so the ratio test fails, while the root test gives convergence Counterexample
- ∏_j ≥ 0 (1 - 1/(j+2)) has partial products 1/(n+1), which tend to 0, so the product does not converge in the sense used here Example
- ∑ 1/k² converges with sum at most 2, by comparison with the telescoping ∑ 1/(k(k-1)) Example
- 0.999… = 1 and 0.4999… = 0.5: the second expansion of a number is exactly an eventually-all-(b-1) digit sequence Example
- Geometric sums computed: ∑_k ≥ 1 2⁻ᵏ = 1 and ∑_k ≥ 0 (-1/3)ᵏ = 3/4 Example
- Young's theorem integrates a Hölder function of unbounded variation against itself Example
- The jumps of a variation function equal the absolute jumps of the original function Lemma
- Base-b expansions: for an integer b ≥ 2 every x ∈ [0,1) is the sum of ∑_j ≥ 0 dⱼ / b^ j+1 for digits dⱼ < b, and the digit sequence is unique among those that are not eventually constantly b-1 Theorem
- Converse to Froda: for every at most countable E ⊆ ℝ there is a bounded nondecreasing f : ℝ → ℝ whose set of discontinuities is exactly E, every one of them a jump Theorem
- For a divergent series of positive terms with partial sums sₖ, the series ∑ aₖ/sₖ diverges and ∑ aₖ/sₖ² converges Theorem
- For pₖ ≥ 0 the product ∏ (1 + pₖ) converges iff ∑ pₖ converges, with 1 + ∑_k<n pₖ ≤ ∏_k<n(1+pₖ) ≤ 1/(1 - ∑_k<n pₖ) when ∑_k<n pₖ < 1; for 0 ≤ pₖ < 1 the product ∏ (1 - pₖ) converges iff ∑ pₖ converges and its partial products tend to 0 otherwise; and ∑ |pₖ| convergent implies ∏ (1+pₖ) convergent Theorem
- Gauss: for positive terms, if aₖ/aₖ₊₁ = 1 + h/k + rₖ with |rₖ| ≤ C k^-1-ε for k ≥ 1, some constant C and some rational ε > 0, the series converges iff h > 1 Theorem
- If 0 ≤ aₖ ≤ bₖ eventually, convergence of ∑ bₖ gives convergence of ∑ aₖ, and divergence of ∑ aₖ gives divergence of ∑ bₖ Theorem
- Kummer: for positive terms aₖ and weights ζₖ > 0, liminf(ζₖ aₖ/aₖ₊₁ - ζₖ₊₁) > 0 gives convergence, and if ∑ 1/ζₖ diverges while that expression is eventually ≤ 0 the series diverges Theorem
- Ratio test: limsup |aₖ₊₁/aₖ| < 1 gives absolute convergence and hence convergence, and liminf |aₖ₊₁/aₖ| > 1 gives divergence Theorem
- Root test: limsup |aₖ|^1/k < 1 gives absolute convergence and hence convergence, > 1 gives divergence, and = 1 decides nothing Theorem
- Under square summability, the signed product of (1+pₙ) converges iff the series of pₙ converges Theorem
- Uniform oscillatory tail mass forces failure of absolute convergence Theorem
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Sources
- Series (mathematics) (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (standard reference, not scraped)
- John K. Hunter, An Introduction to Real Analysis (standard reference, not scraped)