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TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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Dirichlet's rearrangement theorem: an absolutely convergent series converges unconditionally, and every rearrangement of it has the same sum

Statement

Let (ak) be a sequence of reals whose series converges absolutely (Absolutely convergent and conditionally convergent series, and the general starting index), and let σ:N→N be a bijection (Injection, surjection, bijection). Then:

  1. ∑∣aσ(k)∣ converges, with ∑k=0∞∣aσ(k)∣=∑k=0∞∣ak∣; that is, the rearranged series again converges absolutely;
  2. ∑aσ(k) converges, with ∑k=0∞aσ(k)  =  ∑k=0∞ak.

Consequently an absolutely convergent series converges unconditionally (Rearrangement of a series along a bijection of N, and unconditional convergence).

The engine of the proof is a single statement about series of nonnegative terms: for those, the sum is the supremum of the partial sums (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum), a quantity that cannot see the order of the terms. The general case is reduced to that one through the positive and negative parts (Positive and negative parts: ak=ak+−ak− and ∣ak∣=ak++ak−; a series converges absolutely iff both ∑ak+ and ∑ak− converge, and for a conditionally convergent series both diverge to +∞), which is why no manipulation of signed finite sums over shuffled index sets occurs anywhere below.

Facts & Assumptions

Given: A sequence (ak) of reals with ∑∣ak∣ convergent, and a bijection σ:N→N.

[L1]

Finite sums: ∑k<0xk=0, ∑k<n+1xk=∑k<nxk+xn, and a finite sum may be split at any intermediate index (Finite sums and finite products, by recursion, Laws of finite sums and finite products).

[L2]

Monotonicity of finite sums: if xk≤yk for all k<n then ∑k<nxk≤∑k<nyk; in particular a finite sum of nonnegative terms is nonnegative (Laws of finite sums and finite products).

[L3]

For a series of nonnegative terms, convergence is equivalent to the range of the partial sums being bounded above, and then the sum is the supremum of that range; in particular every partial sum is at most the sum (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum, Series, partial sums, convergence and the sum, divergence, and the tail series).

[L4]

Limits preserve non-strict inequalities holding eventually (Limits preserve non-strict inequalities, Limits and Cauchy sequences of reals).

[L5]

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

[L6]

A bijection is injective and surjective; f[S] and f−1[T] denote image and preimage (Injection, surjection, bijection).

[L7]

Positive and negative parts: ak+=(∣ak∣+ak)/2 and ak−=(∣ak∣−ak)/2 are nonnegative, ak=ak+−ak−, ∣ak∣=ak++ak−, and ∑∣ak∣ converges if and only if both ∑ak+ and ∑ak− converge (Positive and negative parts: ak=ak+−ak− and ∣ak∣=ak++ak−; a series converges absolutely iff both ∑ak+ and ∑ak− converge, and for a conditionally convergent series both diverge to +∞).

[L8]
[L9]

If ∑∣xk∣ converges then ∑xk converges (If ∑∣ak∣ converges then ∑ak converges).

[L10]

Unconditional convergence means every rearrangement converges to the same sum (Rearrangement of a series along a bijection of N, and unconditional convergence).

Proof

technique · direct
1.1

Finite domination. For every n∈N the following holds: for every sequence (ck) of nonnegative reals, every Q∈N and every injective map τ from {k:k<n} into {k:k<Q}, one has ∑k<ncτ(k)≤∑k<Qck. This is proved by induction on n, the sequence, Q and τ being universally quantified inside the induction statement. At n=0 the left side is the empty sum 0 and the right side is nonnegative. Assume the statement at n, and let τ be injective from {k:k<n+1} into {k:k<Q}; put p:=τ(n), so p<Q, and let (ck′) agree with (ck) except that cp′:=0, again a nonnegative sequence. The restriction of τ to {k:k<n} is injective into {k:k<Q} and never takes the value p, so cτ(k)′=cτ(k) for k<n, and the induction hypothesis gives ∑k<ncτ(k)=∑k<ncτ(k)′≤∑k<Qck′. Splitting the sum ∑k<Q at p and at p+1 shows ∑k<Qck′=∑k<Qck−cp, so adding cp to both sides gives ∑k<n+1cτ(k)≤∑k<Qck.

L1L2L5L6
1.2

Bounding index. For every injective ρ:N→N and every n∈N there is Q∈N with ρ(k)<Q for all k<n: at n=0 take Q=0, and if Q works for n then the greater of Q and ρ(n)+1 works for n+1, the order on N being total.

L5L6
1.3

Since σ is a bijection, for every j∈N there is exactly one k with σ(k)=j; write σ−1(j) for that k. Then σ−1 is a bijection of N, with σ(σ−1(j))=j for every j.

L6choose
1.4

By [L7] both ∑ak+ and ∑ak− converge; write U and V for their sums. Since ak=ak+−ak−, linearity gives ∑k=0∞ak=U−V.

givenL7L8
1.5

The positive and negative parts are defined pointwise from the value of the term, so the positive part of aσ(k) is aσ(k)+ and its negative part is aσ(k)−; both are nonnegative sequences in the index k.

L7
2.1

The nonnegative case, one inequality. Let (ck) be a sequence of nonnegative reals with ∑ck convergent of sum M, and let ρ be a bijection of N. For each n pick Q as in step 1.2; then ρ restricted to {k:k<n} is injective into {k:k<Q}, so ∑k<ncρ(k)≤∑k<Qck≤M by step 1.1 and [L3]. The terms cρ(k) are nonnegative, so the partial sums of ∑cρ(k) are bounded above by M; hence that series converges, and since each partial sum is at most M its sum is at most M.

step 1.1step 1.2L2L3L4
3.1

The nonnegative case, equality. With (ck), M and ρ as in step 2.1, write M′ for the sum of ∑cρ(k), so M′≤M. The sequence (cρ(k))k is nonnegative with convergent series of sum M′, and its rearrangement along the bijection ρ−1 is j↦cρ(ρ−1(j))=cj; so step 2.1, applied to that sequence and that bijection, gives M≤M′. Hence M′=M.

step 1.3step 2.1
4.1

Applying step 3.1 to the nonnegative sequence (∣ak∣), whose series converges by hypothesis, and to σ: the series ∑∣aσ(k)∣ converges with the same sum as ∑∣ak∣, which is claim 1.

givenstep 3.1
4.2

Applying step 3.1 to (ak+) and to (ak−), each with the bijection σ: the series ∑aσ(k)+ and ∑aσ(k)− converge, with sums U and V respectively.

step 3.1step 1.4step 1.5
5.1

Since aσ(k)=aσ(k)+−aσ(k)− for every k, linearity gives that ∑aσ(k) converges with sum U−V, which by step 1.4 equals ∑k=0∞ak; this is claim 2.

step 1.4step 1.5step 4.2L8
6.1

The same conclusion is available from claim 1 alone: ∑∣aσ(k)∣ converges, so ∑aσ(k) converges; step 5.1 is what identifies its sum.

step 4.1L9
7.1

Claims 1 and 2 hold for an arbitrary bijection σ, so ∑ak converges and every rearrangement of it converges to the same sum, that is, ∑ak converges unconditionally.

step 4.1step 5.1L9L10∎

Remarks

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