Rearrangement of Series; Riemann’s Theorem

At a Glance

Why This Chapter Matters

This is a T4 atom — it has appeared only once in 13 years (2017, 20 marks). The topic draws a sharp conceptual line between absolute and conditional convergence: absolute convergence is robust under permutation of terms, while conditional convergence is fragile in the most dramatic way possible. When UPSC does ask, they want a clean proof of Riemann’s rearrangement theorem or the absolute-convergence rearrangement result, so knowing the argument cold is worth the investment.

Minimum Theory

Setup. A rearrangement of ∑n=1∞an\sum_{n=1}^{\infty} a_n is a series ∑n=1∞aσ(n)\sum_{n=1}^{\infty} a_{\sigma(n)}, where σ:N→N\sigma:\mathbb{N}\to\mathbb{N} is a bijection.

Theorem A (Absolute convergence is rearrangement-invariant). If ∑an\sum a_n converges absolutely, then every rearrangement converges to the same sum SS.

Proof. Let S=∑n=1∞anS = \sum_{n=1}^{\infty} a_n and let ∑aσ(n)\sum a_{\sigma(n)} be any rearrangement. Let ε>0\varepsilon > 0. Since ∑∣an∣\sum |a_n| converges, choose NN such that ∑n=N+1∞∣an∣<ε\sum_{n=N+1}^{\infty} |a_n| < \varepsilon. Choose MM large enough so that {1,2,…,N}⊆{σ(1),σ(2),…,σ(M)}\{1, 2, \ldots, N\} \subseteq \{\sigma(1), \sigma(2), \ldots, \sigma(M)\}. Then for all m≥Mm \geq M,

∣∑k=1maσ(k)−S∣=∣∑k=1maσ(k)−∑n=1∞an∣≤∑n∉{σ(1),…,σ(m)}∣an∣≤∑n=N+1∞∣an∣<ε.\left|\sum_{k=1}^{m} a_{\sigma(k)} - S\right| = \left|\sum_{k=1}^{m} a_{\sigma(k)} - \sum_{n=1}^{\infty} a_n\right| \leq \sum_{n \notin \{\sigma(1),\ldots,\sigma(m)\}} |a_n| \leq \sum_{n=N+1}^{\infty} |a_n| < \varepsilon.

Since ε\varepsilon was arbitrary, ∑aσ(n)=S\sum a_{\sigma(n)} = S. ■\blacksquare

Theorem B (Riemann’s Rearrangement Theorem). If ∑an\sum a_n converges conditionally (i.e., ∑an\sum a_n converges but ∑∣an∣=∞\sum |a_n| = \infty), then for any S∈R∪{+∞,−∞}S \in \mathbb{R} \cup \{+\infty, -\infty\} there exists a rearrangement of ∑an\sum a_n that converges to SS.

Key Lemma. Define the positive and negative parts:

pn=an+∣an∣2=max⁡(an,0),qn=∣an∣−an2=max⁡(−an,0).p_n = \frac{a_n + |a_n|}{2} = \max(a_n, 0), \qquad q_n = \frac{|a_n| - a_n}{2} = \max(-a_n, 0).

Then an=pn−qna_n = p_n - q_n and ∣an∣=pn+qn|a_n| = p_n + q_n. Since ∑an\sum a_n converges but ∑∣an∣\sum |a_n| diverges, both ∑pn=+∞\sum p_n = +\infty and ∑qn=+∞\sum q_n = +\infty. (If either were finite, the other would too, forcing ∑∣an∣\sum |a_n| to converge — contradiction.) Also pn→0p_n \to 0 and qn→0q_n \to 0 since an→0a_n \to 0.

Proof of Theorem B (for S∈RS \in \mathbb{R}). Enumerate the positive terms as P1,P2,…P_1, P_2, \ldots (in order of original index) and the negative terms as −Q1,−Q2,…-Q_1, -Q_2, \ldots (each Qi>0Q_i > 0). Construct the rearrangement as follows:

This process never stalls because ∑Pn=∑Qn=+∞\sum P_n = \sum Q_n = +\infty. Let AkA_k denote the partial sum at the end of step kk. At an “overshoot” step, Ak>SA_k > S and Ak≤S+PmkA_k \leq S + P_{m_k}; at an “undershoot” step, Ak<SA_k < S and Ak≥S−QnkA_k \geq S - Q_{n_k}. Since Pn→0P_n \to 0 and Qn→0Q_n \to 0, the oscillation ∣Ak−S∣|A_k - S| is bounded by the last term added, which →0\to 0. Therefore Ak→SA_k \to S, and every partial sum lies between two consecutive milestone partial sums whose distance to SS tends to zero. Hence the full sequence of partial sums converges to SS. ■\blacksquare

Corollary. A rearrangement can also be constructed to diverge to +∞+\infty or −∞-\infty by taking ever more positive or negative terms without switching.

Question Archetypes

ArchetypeRecognition
prove-absolute-rearrangement”Prove that every rearrangement of an absolutely convergent series has the same sum.”
state-and-prove-riemann”State and prove Riemann’s rearrangement theorem.”
apply-riemann”Given a conditionally convergent series, show a rearrangement converging to a given value.”

prove-absolute-rearrangement (1 question(s); 2017)

Recognition Cues

Solution Template

  1. State the theorem precisely (bijection σ\sigma, same limit SS).
  2. Use ε\varepsilon-argument: cover {1,…,N}\{1,\ldots,N\} inside {σ(1),…,σ(M)}\{\sigma(1),\ldots,\sigma(M)\} for large MM.
  3. Bound tail by ∑n>N∣an∣<ε\sum_{n > N} |a_n| < \varepsilon.
  4. Conclude ∑aσ(n)=S\sum a_{\sigma(n)} = S. ■\blacksquare

Worked Example

2017 Paper 2, 2017-P2-Q1b (20 marks)

State and prove Riemann’s rearrangement theorem for real series.

Claim. If ∑an\sum a_n converges conditionally, then for any S∈RS \in \mathbb{R} there is a rearrangement converging to SS.

Proof.

Step 1 — Auxiliary divergence. Since ∑an\sum a_n converges, an→0a_n \to 0, so pn=max⁡(an,0)→0p_n = \max(a_n,0) \to 0 and qn=max⁡(−an,0)→0q_n = \max(-a_n,0) \to 0. Since ∑an\sum a_n converges conditionally, ∑∣an∣=∞\sum |a_n| = \infty, hence ∑pn=∞\sum p_n = \infty and ∑qn=∞\sum q_n = \infty (as argued in the lemma above).

Step 2 — Construction. List the positive summands as P1≥0,P2≥0,…P_1 \geq 0, P_2 \geq 0, \ldots and the negative summands by their magnitudes Q1,Q2,…>0Q_1, Q_2, \ldots > 0, each sequence retaining original order. Define the rearrangement inductively:

Such indices always exist because ∑Pn=∑Qn=∞\sum P_n = \sum Q_n = \infty.

Step 3 — Convergence. Let sks_k be the partial sum after stage kk. After an overshoot stage, sk∈(S,S+Pmk]s_k \in (S, S + P_{m_k}]; after an undershoot stage, sk∈[S−Qnk,S)s_k \in [S - Q_{n_k}, S). Since Pn→0P_n \to 0 and Qn→0Q_n \to 0, we have ∣sk−S∣→0|s_k - S| \to 0.

Every partial sum ss of the rearrangement lies between two consecutive milestone sums sks_k and sk+1s_{k+1}, both within max⁡(Pmk+1,Qnk+1)\max(P_{m_{k+1}}, Q_{n_{k+1}}) of SS, which tends to 00. Hence sk→Ss_k \to S.

Every conditionally convergent series can be rearranged to any prescribed sum.  ■\boxed{\text{Every conditionally convergent series can be rearranged to any prescribed sum.}}\;\blacksquare

Common Traps

Marks-Aware Writing

At 20 marks this is a full Section B proof question. Allocate roughly: (a) state the theorem precisely — 3 marks; (b) prove the auxiliary lemma (∑pn=∑qn=∞\sum p_n = \sum q_n = \infty) — 5 marks; (c) construct the rearrangement — 6 marks; (d) prove convergence of the rearrangement — 6 marks. Write in complete sentences with logical connectives; do not list steps without justification.

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