Math 2.0

Sequences, series, summability Proof

Proof of the Riemann rearrangement theorem by a greedy construction

Builds on Conditional convergenceRearrangement of a seriesTerm testA series of nonnegative terms converges iff its partial sums are boundedLimit of a sum of sequencesLimit of a product of sequencesLimit of a sequenceSequence tending to infinityAbsolute convergence

Proof

Let sN=∑n=0Nans_N = \sum_{n=0}^{N} a_n. Let pn=max⁡(an,0)p_n = \max(a_n, 0) and qn=max⁡(−an,0)q_n = \max(-a_n, 0), with partial sums PNP_N and QNQ_N. Then an=pn−qna_n = p_n - q_n and ∣an∣=pn+qn\abs{a_n} = p_n + q_n.

The positive and negative parts.

  1. The series converges, so an→0a_n \to 0 by the term test.
  2. Suppose PN→PP_N \to P for a real PP. Then QN=PN+(−1)sNQ_N = P_N + (-1) s_N converges, by the limits of sums and products. So ∑∣an∣\sum \abs{a_n} has partial sums PN+QNP_N + Q_N, which converge.
  3. Step 2 contradicts the definition of conditional convergence: ∑∣an∣\sum \abs{a_n} diverges. So ∑pn\sum p_n diverges. In the same way, using PN=sN+QNP_N = s_N + Q_N, the series ∑qn\sum q_n diverges.
  4. By the criterion for nonnegative series, (PN)(P_N) and (QN)(Q_N) are not bounded above. Both are increasing, so both tend to +∞+\infty.
  5. Let U={n:an≥0}U = \set{n : a_n \ge 0} and V={n:an<0}V = \set{n : a_n < 0}. They are disjoint, and their union is ℕ\N. Both are infinite: otherwise (QN)(Q_N) or (PN)(P_N) would be constant from some index on, contradicting step 4.
  6. List them in increasing order: U={u1<u2<⋯ }U = \set{u_1 < u_2 < \cdots} and V={v1<v2<⋯ }V = \set{v_1 < v_2 < \cdots}. Then ∑i=1Kaui=PuK\sum_{i=1}^{K} a_{u_i} = P_{u_K} and ∑j=1K∣avj∣=QvK\sum_{j=1}^{K} \abs{a_{v_j}} = Q_{v_K}.
  7. Since uK,vK≥K−1u_K, v_K \ge K - 1, step 4 shows that both sums in step 6 tend to +∞+\infty as K→∞K \to \infty. The same holds for these sums started at any fixed index.

The construction.

  1. Each rearrangement below is built step by step. At step n=0,1,2,…n = 0, 1, 2, \dots a rule chooses a "UU-step" or a "VV-step". A UU-step sets σ(n)\sigma(n) to the first uiu_i not yet used; a VV-step sets σ(n)\sigma(n) to the first vjv_j not yet used.
  2. Every uiu_i and vjv_j is used at most once, so σ ⁣:ℕ→ℕ\sigma \colon \N \to \N is injective. If both kinds of step occur infinitely often, then the ii-th UU-step uses uiu_i and the jj-th VV-step uses vjv_j. Then σ\sigma is also surjective, by step 5.
  3. Let Sn=∑m=0naσ(m)S_n = \sum_{m=0}^{n} a_{\sigma(m)} and S−1=0S_{-1} = 0. A UU-step gives Sn≥Sn−1S_n \ge S_{n-1} and a VV-step gives Sn<Sn−1S_n < S_{n-1}.

A rearrangement with sum MM.

  1. Rule: step nn is a UU-step if Sn−1≤MS_{n-1} \le M, and a VV-step if Sn−1>MS_{n-1} > M.
  2. Suppose all steps from n0n_0 on are VV-steps. By step 7, Sn→−∞S_n \to -\infty, so some n≥n0n \ge n_0 has Sn≤MS_n \le M. Then step n+1n + 1 is a UU-step, a contradiction. So there are infinitely many UU-steps.
  3. In the same way, if all steps from n0n_0 on were UU-steps, then Sn→+∞S_n \to +\infty by step 7, which forces a VV-step. So there are infinitely many VV-steps, and σ\sigma is a bijection by step 9.
  4. Let ε>0\varepsilon > 0. By step 1, there is k0k_0 with ∣ak∣<ε\abs{a_k} < \varepsilon for k≥k0k \ge k_0. Only finitely many nn have σ(n)<k0\sigma(n) < k_0. So there is n1n_1 with ∣aσ(n)∣<ε\abs{a_{\sigma(n)}} < \varepsilon for all n≥n1n \ge n_1.
  5. Let I=(M−ε,M+ε)I = (M - \varepsilon, M + \varepsilon), and let n≥n1n \ge n_1 with Sn−1∈IS_{n-1} \in I. If Sn−1≤MS_{n-1} \le M, then Sn−1≤Sn<M+εS_{n-1} \le S_n < M + \varepsilon. If Sn−1>MS_{n-1} > M, then M−ε<Sn<Sn−1M - \varepsilon < S_n < S_{n-1}. In both cases Sn∈IS_n \in I.
  6. By steps 12 and 13, there is a UU-step n≥n1n \ge n_1 such that step n+1n + 1 is a VV-step. Then Sn−1≤M<SnS_{n-1} \le M < S_n, and Sn=Sn−1+aσ(n)<M+εS_n = S_{n-1} + a_{\sigma(n)} < M + \varepsilon. So Sn∈IS_n \in I.
  7. By steps 15 and 16 and induction, Sm∈IS_m \in I for every m≥nm \ge n. Since ε>0\varepsilon > 0 was arbitrary, Sm→MS_m \to M by the definition of the limit.
  8. So the rearrangement ∑aσ(n)\sum a_{\sigma(n)} converges to MM.

A rearrangement that diverges to +∞+\infty.

  1. Let J(n)J(n) be the number of VV-steps among steps 0,…,n0, \dots, n, with J(−1)=0J(-1) = 0. Rule: step nn is a UU-step if Sn−1≤J(n−1)+1S_{n-1} \le J(n-1) + 1, and a VV-step otherwise.
  2. Suppose all steps from n0n_0 on are UU-steps. Then J(n)=J(n0−1)J(n) = J(n_0 - 1) for n≥n0n \ge n_0, while Sn→+∞S_n \to +\infty by step 7. So some SnS_n exceeds J(n)+1J(n) + 1, which forces a VV-step. This is a contradiction.
  3. Suppose all steps from n0n_0 on are VV-steps. Then Sn→−∞S_n \to -\infty by step 7, while J(n)+1≥1J(n) + 1 \ge 1. So some Sn≤J(n)+1S_n \le J(n) + 1, which forces a UU-step. This is a contradiction.
  4. So both kinds of step occur infinitely often, σ\sigma is a bijection by step 9, and J(n)→+∞J(n) \to +\infty.
  5. As in step 14, there is n1n_1 with ∣aσ(n)∣<1\abs{a_{\sigma(n)}} < 1 for all n≥n1n \ge n_1.
  6. Let n≥n1n \ge n_1 be a VV-step. Then Sn−1>J(n−1)+1S_{n-1} > J(n-1) + 1, so Sn>Sn−1−1>J(n−1)=J(n)−1S_n > S_{n-1} - 1 > J(n-1) = J(n) - 1.
  7. Let n≥n1n \ge n_1 be a UU-step with Sn−1>J(n−1)−1S_{n-1} > J(n-1) - 1. Then Sn≥Sn−1>J(n−1)−1=J(n)−1S_n \ge S_{n-1} > J(n-1) - 1 = J(n) - 1.
  8. Let n2n_2 be the first VV-step with n2≥n1n_2 \ge n_1. By steps 24 and 25 and induction, Sn>J(n)−1S_n > J(n) - 1 for all n≥n2n \ge n_2.
  9. Since J(n)J(n) is increasing and tends to +∞+\infty, step 26 shows that Sn→+∞S_n \to +\infty, as a sequence tending to infinity.

A rearrangement that diverges to −∞-\infty.

  1. The series ∑(−an)\sum (-a_n) has partial sums (−1)sN(-1) s_N, which converge by the limit of products. Since ∣−an∣=∣an∣\abs{-a_n} = \abs{a_n}, it does not converge absolutely. So it converges conditionally.
  2. Steps 19 to 27 give a bijection σ\sigma with ∑m=0n(−aσ(m))→+∞\sum_{m=0}^{n} (-a_{\sigma(m)}) \to +\infty. So the partial sums of ∑aσ(n)\sum a_{\sigma(n)} tend to −∞-\infty.

Idea

In a conditionally convergent series, the positive terms alone and the negative terms alone both sum to infinity, while the terms tend to 00. So we can add positive terms until the running sum passes a target, then negative terms until it falls back, forever. The overshoots shrink because the terms shrink, so the sums settle at the target. Raising the target step by step instead gives divergence to infinity.

Reading path

To understand this page from the ground up, read these 68 pages in order. The foundations come first. The path takes the proofs Proof of the limit of a sum of sequences, Proof of the approximation property of the supremum, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof of the limit of a product of sequences, Proof that the absolute value is multiplicative, Proof of the triangle inequality for real numbers, Proof of the epsilon-N definition of the limit of a sequence, Proof of the term test, Proof that convergent sequences are bounded, Proof of the monotone convergence theorem for sequences, Proof that a series of nonnegative terms converges iff its partial sums are bounded.

  1. Construction of the reals from Cauchy sequences concept
  2. Element definition
  3. Integers object
  4. Mathematical induction concept
  5. Ordered field definition
  6. Proposition concept
  7. Rational numbers object
  8. Real numbers object
  9. Sequence definition
  10. Set bounded above definition
  11. Set definition
  12. Ring of integers statement
  13. Implication definition
  14. Predicate definition
  15. The reals form a field statement
  16. Real sequence definition
  17. Supremum definition
  18. Ordered pair definition
  19. Universal quantifier definition
  20. The rationals form a field statement
  21. Bounded sequence definition
  22. Limit of a sequence definition
  23. Monotone sequence definition
  24. Sequence tending to infinity definition
  25. Series definition
  26. Completeness axiom statement
  27. Cartesian product definition
  28. Subset definition
  29. The rationals form an ordered field statement
  30. Convergent sequence definition
  31. Partial sum definition
  32. Rearrangement of a series definition
  33. Binary relation definition
  34. Order on the reals definition
  35. Convergent series definition
  36. Antisymmetric relation definition
  37. Reflexive relation definition
  38. Transitive relation definition
  39. Sum of a series definition
  40. Absolute convergence definition
  41. Preorder definition
  42. Conditional convergence definition
  43. Partial order definition
  44. Total order definition
  45. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  46. The reals form an ordered field statement
  47. Absolute value definition
  48. Proof of the approximation property of the supremum proof
  49. Proof of the triangle inequality for real numbers proof
  50. Proof that the absolute value is multiplicative proof
  51. Proof of the epsilon-N definition of the limit of a sequence proof
  52. Approximation property of the supremum statement
  53. Triangle inequality statement
  54. Absolute value is multiplicative statement
  55. Epsilon-N definition of the limit of a sequence statement
  56. Proof of the limit of a sum of sequences proof
  57. Proof that convergent sequences are bounded proof
  58. Proof of the term test proof
  59. Proof of the monotone convergence theorem for sequences proof
  60. Limit of a sum of sequences statement
  61. Convergent sequences are bounded statement
  62. Monotone convergence theorem for sequences statement
  63. Proof of the limit of a product of sequences proof
  64. Term test statement
  65. Proof that a series of nonnegative terms converges iff its partial sums are bounded proof
  66. Limit of a product of sequences statement
  67. A series of nonnegative terms converges iff its partial sums are bounded statement
  68. Proof of the Riemann rearrangement theorem by a greedy construction proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Riemann_series_theorem, Proof
About this page
TagXXPVHKZ9KV
URIm2://XXPVHKZ9KV
Kindproof
WritingW0 stub
MSC40A05
ProvesRiemann rearrangement theorem
UsesConditional convergence, Rearrangement of a series, Term test, A series of nonnegative terms converges iff its partial sums are bounded, Limit of a sum of sequences, Limit of a product of sequences, Limit of a sequence, Sequence tending to infinity, Absolute convergence
Changed4 November 2026

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.