The math optional, made finite. Daily Practice

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=1an\sum_{n=1}^{\infty} a_n is a series n=1aσ(n)\sum_{n=1}^{\infty} a_{\sigma(n)}, where σ:NN\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=1anS = \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+1an<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 mMm \geq M,

k=1maσ(k)S=k=1maσ(k)n=1ann{σ(1),,σ(m)}ann=N+1an<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 SR{+,}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+an2=max(an,0),qn=anan2=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=pnqna_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 pn0p_n \to 0 and qn0q_n \to 0 since an0a_n \to 0.

Proof of Theorem B (for SRS \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 AkS+PmkA_k \leq S + P_{m_k}; at an “undershoot” step, Ak<SA_k < S and AkSQnkA_k \geq S - Q_{n_k}. Since Pn0P_n \to 0 and Qn0Q_n \to 0, the oscillation AkS|A_k - S| is bounded by the last term added, which 0\to 0. Therefore AkSA_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>Nan<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 SRS \in \mathbb{R} there is a rearrangement converging to SS.

Proof.

Step 1 — Auxiliary divergence. Since an\sum a_n converges, an0a_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 P10,P20,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[SQnk,S)s_k \in [S - Q_{n_k}, S). Since Pn0P_n \to 0 and Qn0Q_n \to 0, we have skS0|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 skSs_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.

Practice Set

Only one historical question on this atom (shown above).

We've mapped all 13 years of this exam. Get new chapters, tools, and solutions as we release them — free.