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TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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Grouping: if ∑ak converges and (nj) is strictly increasing with n0=0, the series of blocks ∑k=njnj+1−1ak converges to the same sum

Statement

Let (ak) be a sequence of reals whose series converges (Series, partial sums, convergence and the sum, divergence, and the tail series), with sum S, and let n:N→N be strictly increasing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences) with n0=0. Define the blocks

Bj  :=  ∑k=njnj+1−1ak(j∈N),

each a finite sum of nj+1−nj≥1 consecutive terms (Finite sums and finite products, by recursion). Then ∑Bj converges, with

∑j=0∞Bj  =  S.

The proof shows more, and the extra is what makes the theorem trivial once seen: the m-th partial sum of ∑Bj is exactly snm, the nm-th partial sum of ∑ak. Grouping does not produce a new series so much as a subsequence of the old partial sums.

The converse fails. A grouped series may converge while the original diverges, and FALSE: if some grouping of a series converges then the series itself converges records that, with the witness on the companion page. What the theorem needs is convergence of ∑ak as a hypothesis, and n0=0, without which the first block would omit the terms before n0.

Facts & Assumptions

Given: A sequence (ak) of reals with ∑ak convergent of sum S and partial sums sn=∑k<nak; a strictly increasing n:N→N with n0=0; and the blocks Bj=∑k=njnj+1−1ak.

[L1]

Finite sums: ∑k<0xk=0 and ∑k<m+1xk=∑k<mxk+xm (Finite sums and finite products, by recursion).

[L2]

Splitting: if m≤n then ∑k<nak=∑k<mak+∑k=mn−1ak (Laws of finite sums and finite products).

[L4]

A subsequence of a convergent sequence converges to the same limit; a subsequence is indexed by a strictly increasing map N→N (Subsequences inherit the limit, Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).

[L5]

The principle of induction on N (The principle of mathematical induction).

Proof

technique · direct
1.1

Since n is strictly increasing, nj<nj+1 for every j, so each block Bj is a finite sum over a nonempty range of indices and is a well-determined real.

givenL1L2
1.2

The map m↦nm is strictly increasing, so (snm)m is a subsequence of the convergent sequence (sn) and therefore converges to S.

givenL3L4
2.1

An induction on m gives ∑j<mBj=snm for every m∈N: at m=0 the left side is the empty sum 0 and the right side is sn0=s0=0; and if ∑j<mBj=snm then ∑j<m+1Bj=snm+Bm=∑k<nmak+∑k=nmnm+1−1ak=∑k<nm+1ak=snm+1, the middle equality being splitting at nm≤nm+1.

givenstep 1.1L1L2L5
3.1

By step 2.1 the partial sums of ∑Bj are precisely the terms snm, so ∑Bj converges with sum S.

step 2.1step 1.2L3∎

Remarks

  • Why n0=0 is a hypothesis and not a normalisation. If n0>0 the same computation gives ∑j<mBj=snm−sn0, so the grouped series converges to S−sn0: the terms a0,…,an0−1 are simply omitted. The theorem as stated is the case where nothing is omitted.

  • Blocks may be as long as one likes, and the theorem is indifferent. No bound on nj+1−nj is assumed, and none is needed: the argument never looks inside a block. This is exactly what fails in the converse direction, where the cancellation hidden inside long blocks is what the grouped series cannot see.

  • The result also gives the associativity one expects of a convergent series. Any two groupings of a convergent series have the same sum, both being S; so one may insert brackets at will, though never remove them (FALSE: if some grouping of a series converges then the series itself converges).

Depends on

Used by

Dependency tree · two levels

30 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources