Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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The Riemann series theorem: a conditionally convergent real series has, for every cRc \in \mathbb{R}, a rearrangement with sum cc, and rearrangements diverging to ++\infty, to -\infty, and oscillating with any prescribed lim inflim sup\liminf \le \limsup in R\overline{\mathbb{R}}

Statement

Let (ak)(a_k) be a sequence of reals whose series converges conditionally (Absolutely convergent and conditionally convergent series, and the general starting index). Let α,βR\alpha, \beta \in \overline{\mathbb{R}} (The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined) with αβ\alpha \le \beta. Then there is a bijection σ:NN\sigma : \mathbb{N} \to \mathbb{N} (Injection, surjection, bijection) such that the partial sums Tn=k<naσ(k)T_n = \sum_{k<n} a_{\sigma(k)} of the rearranged series (Rearrangement of a series along a bijection of N\mathbb{N}, and unconditional convergence) satisfy

lim infnTn=α,lim supnTn=β\liminf_{n} T_n = \alpha, \qquad \limsup_{n} T_n = \beta

(Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}). In particular:

  1. for every cRc \in \mathbb{R}, taking α=β=c\alpha = \beta = c, there is a rearrangement of ak\sum a_k that converges with sum cc;
  2. taking α=β=+\alpha = \beta = +\infty, there is a rearrangement whose partial sums diverge to ++\infty (Divergence to ++\infty and to -\infty), and taking α=β=\alpha = \beta = -\infty, one whose partial sums diverge to -\infty;
  3. taking α<β\alpha < \beta, there is a rearrangement whose partial sums oscillate, with limit inferior exactly α\alpha and limit superior exactly β\beta.

So the sum of a conditionally convergent series is an artefact of the order in which its terms are written, and every prescribed asymptotic behaviour is attainable. Contrast Dirichlet's rearrangement theorem: an absolutely convergent series converges unconditionally, and every rearrangement of it has the same sum, where absolute convergence makes the sum independent of the order.

The construction. Write P:={k:ak0}P := \{k : a_k \ge 0\} and N:={k:ak<0}N := \{k : a_k < 0\}, which partition N\mathbb{N}, and enumerate each increasingly as (pi)(p_i) and (ql)(q_l). Fix real sequences (uj)(u_j) and (vj)(v_j) with ujvju_j \le v_j and ujvj+1u_j \le v_{j+1} for every jj; these are the targets. The rearrangement is produced one index at a time by a greedy rule: while the running sum is at most the current upper target, take the next unused nonnegative term; once it exceeds that target, take negative terms until the running sum falls below the current lower target; then move to the next pair of targets and repeat. Both supplies are inexhaustible, because for a conditionally convergent series both ak+\sum a_k^{+} and ak\sum a_k^{-} diverge to ++\infty (Positive and negative parts: ak=ak+aka_k = a_k^{+} - a_k^{-} and ak=ak++ak|a_k| = a_k^{+} + a_k^{-}; a series converges absolutely iff both ak+\sum a_k^{+} and ak\sum a_k^{-} converge, and for a conditionally convergent series both diverge to ++\infty); and the overshoot at each turning point is at most the term just used, which tends to 00 because ak0a_k \to 0 (If a series converges then its terms tend to 00). Those two facts are the whole theorem.

Facts & Assumptions

Given: A sequence (ak)(a_k) of reals with ak\sum a_k convergent and ak\sum |a_k| divergent; the positive and negative parts ak+a_k^{+}, aka_k^{-}; the sets P={k:ak0}P = \{k : a_k \ge 0\} and N={k:ak<0}N = \{k : a_k < 0\}; and extended reals αβ\alpha \le \beta.

[A1]

PP and NN are disjoint with union N\mathbb{N}, since the order on R\mathbb{R} is total; ak+=aka_k^{+} = a_k and ak=0a_k^{-} = 0 for kPk \in P, while ak+=0a_k^{+} = 0 and ak=aka_k^{-} = -a_k for kNk \in N (Positive and negative parts: ak=ak+aka_k = a_k^{+} - a_k^{-} and ak=ak++ak|a_k| = a_k^{+} + a_k^{-}; a series converges absolutely iff both ak+\sum a_k^{+} and ak\sum a_k^{-} converge, and for a conditionally convergent series both diverge to ++\infty).

[L2]

The terms of a convergent series tend to 00 (If a series converges then its terms tend to 00).

[L3]

Every nonempty subset of N\mathbb{N} has a least element (The well-ordering principle).

[L4]

The recursion theorem: for a set AA, an element aAa \in A and a function f:AAf : A \to A there is a unique g:NAg : \mathbb{N} \to A with g(0)=ag(0) = a and g(n+1)=f(g(n))g(n+1) = f(g(n)) (The recursion theorem).

[L5]

The principle of induction on N\mathbb{N} (The principle of mathematical induction).

[L6]

Finite sums: k<0xk=0\sum_{k<0} x_k = 0, k<n+1xk=k<nxk+xn\sum_{k<n+1}x_k = \sum_{k<n}x_k + x_n, splitting at an intermediate index, and k<n0=0\sum_{k<n} 0 = 0 (Finite sums and finite products, by recursion, Laws of finite sums and finite products).

[L7]

Partial sums of a series and their recursion sn+1=sn+ans_{n+1} = s_n + a_n (Series, partial sums, convergence and the sum, divergence, and the tail series).

[L8]

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

[L9]

A bijection is an injective surjection (Injection, surjection, bijection).

[L10]

lim supnxn=inf{sup{xm:mn}:nN}\limsup_n x_n = \inf\{\, \sup\{x_m : m \ge n\} : n \in \mathbb{N} \,\} and lim infnxn=sup{inf{xm:mn}:nN}\liminf_n x_n = \sup\{\, \inf\{x_m : m \ge n\} : n \in \mathbb{N}\,\}, both taken in R\overline{\mathbb{R}} (Limit superior and limit inferior of a real sequence as infnsupknxk\inf_n \sup_{k \ge n} x_k and supninfknxk\sup_n \inf_{k \ge n} x_k in R\overline{\mathbb{R}}, The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined).

[L12]

For nonnegative terms, a series diverges exactly when the range of its partial sums is unbounded above, and then those partial sums diverge to ++\infty (A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum).

Proof

technique · constructive
1.1

Since ak\sum a_k converges, ak0a_k \to 0.

givenL2
1.2

For every KNK \in \mathbb{N} there is kKk \ge K with kPk \in P: otherwise ak<0a_k < 0 for every kKk \ge K, so ak+=0a_k^{+} = 0 for every kKk \ge K, so the partial sums of ak+\sum a_k^{+} are constant from KK on and hence bounded, contradicting [L1]. The same argument with aka_k^{-} shows that for every KK there is kKk \ge K with kNk \in N.

A1L1L6L12
2.1

In particular PP and NN are nonempty, and for every kk the sets {mP:m>k}\{m \in P : m > k\} and {mN:m>k}\{m \in N : m > k\} are nonempty; so by [L3] each has a least element.

step 1.2L3
3.1

Define p:NNp : \mathbb{N} \to \mathbb{N} by p0:=minPp_0 := \min P and pi+1:=min{mP:m>pi}p_{i+1} := \min\{m \in P : m > p_i\}, and q:NNq : \mathbb{N} \to \mathbb{N} by q0:=minNq_0 := \min N and ql+1:=min{mN:m>ql}q_{l+1} := \min\{m \in N : m > q_l\}; both are legitimate applications of the recursion theorem, the "next element" operations being total functions NN\mathbb{N} \to \mathbb{N} by step 2.1. Both pp and qq take values in PP, respectively NN, and are strictly increasing.

step 2.1L3L4construct
4.1

An induction gives piip_i \ge i and qllq_l \ge l for every index, since p00p_0 \ge 0 and pi+1>piip_{i+1} > p_i \ge i forces pi+1i+1p_{i+1} \ge i+1.

step 3.1L5
4.2

An induction on ii gives P{k:k<pi}={pi:i<i}P \cap \{k : k < p_i\} = \{p_{i'} : i' < i\}: at i=0i = 0 both sides are empty because p0p_0 is the least element of PP; and passing from ii to i+1i+1 adds exactly pip_i, since pi+1p_{i+1} is the least element of PP strictly greater than pip_i, so no element of PP lies strictly between them. The same holds for qq and NN.

step 3.1L5
4.3

Fix real sequences (uj)(u_j) and (vj)(v_j) with ujvju_j \le v_j and ujvj+1u_j \le v_{j+1} for every jj. Put A:=N×N×N×R×{0,1}A := \mathbb{N} \times \mathbb{N} \times \mathbb{N} \times \mathbb{R} \times \{0,1\}, whose elements are written (i,l,j,s,m)(i, l, j, s, m), and define out:AN\mathrm{out} : A \to \mathbb{N} and f:AAf : A \to A by: if m=0m = 0 and svjs \le v_j, then out:=pi\mathrm{out} := p_i and f:=(i+1,l,j,s+api,0)f := (i+1, l, j, s + a_{p_i}, 0); if m=0m = 0 and s>vjs > v_j, then out:=ql\mathrm{out} := q_l and f:=(i,l+1,j,s+aql,1)f := (i, l+1, j, s + a_{q_l}, 1); if m=1m = 1 and sujs \ge u_j, then out:=ql\mathrm{out} := q_l and f:=(i,l+1,j,s+aql,1)f := (i, l+1, j, s + a_{q_l}, 1); if m=1m = 1 and s<ujs < u_j, then out:=pi\mathrm{out} := p_i and f:=(i+1,l,j+1,s+api,0)f := (i+1, l, j+1, s + a_{p_i}, 0). The four cases are exhaustive and mutually exclusive, the order on R\mathbb{R} being total, so ff and out\mathrm{out} are functions.

step 3.1construct
5.1

Every element of PP is some pip_i, and every element of NN is some qlq_l: given kPk \in P, the set {i:pi>k}\{i : p_i > k\} is nonempty by step 4.1, so it has a least element i0i_0; i00i_0 \ne 0 since p0=minPkp_0 = \min P \le k, and pi01k<pi0p_{i_0 - 1} \le k < p_{i_0}, so kP{m:m<pi0}={pi:i<i0}k \in P \cap \{m : m < p_{i_0}\} = \{p_{i'} : i' < i_0\} by step 4.2. Together with step 3.1 this says that pp is a bijection onto PP and qq a bijection onto NN; both are injective because they are strictly increasing.

step 3.1step 4.1step 4.2L3L9
5.2

An induction on ii gives i<iapi=k<piak+\sum_{i' < i} a_{p_{i'}} = \sum_{k < p_i} a_k^{+}: at i=0i = 0 every k<p0k < p_0 lies in NN, so ak+=0a_k^{+} = 0 and both sides are 00; and splitting k<pi+1ak+\sum_{k<p_{i+1}} a_k^{+} at pip_i and at pi+1p_i + 1 isolates the single term api+=apia_{p_i}^{+} = a_{p_i}, all remaining indices kk with pi<k<pi+1p_i < k < p_{i+1} lying in NN by step 4.2 and contributing 00. The same argument gives l<laql=k<qlak\sum_{l' < l} a_{q_{l'}} = -\sum_{k<q_l} a_k^{-}.

A1step 3.1step 4.2L5L6
5.3

By the recursion theorem let g:NAg : \mathbb{N} \to A satisfy g(0)=(0,0,0,0,0)g(0) = (0,0,0,0,0) and g(n+1)=f(g(n))g(n+1) = f(g(n)), write g(n)=(in,ln,jn,sn,mn)g(n) = (i_n, l_n, j_n, s_n, m_n), and define σ(n):=out(g(n))\sigma(n) := \mathrm{out}(g(n)).

step 4.3L4construct
5.4

For general αβ\alpha \le \beta choose real sequences with ujvju_j \le v_j and ujvj+1u_j \le v_{j+1} as follows: if α,β\alpha, \beta are real, uj:=αu_j := \alpha and vj:=βv_j := \beta; if α=\alpha = -\infty and β\beta is real, uj:=β(j+1)u_j := \beta - (j+1) and vj:=βv_j := \beta; if α\alpha is real and β=+\beta = +\infty, uj:=αu_j := \alpha and vj:=α+(j+1)v_j := \alpha + (j+1); if α=β=+\alpha = \beta = +\infty, uj:=ju_j := j and vj:=j+1v_j := j+1; if α=β=\alpha = \beta = -\infty, uj:=(j+2)u_j := -(j+2) and vj:=(j+1)v_j := -(j+1); and if α=\alpha = -\infty, β=+\beta = +\infty, uj:=(j+1)u_j := -(j+1) and vj:=j+1v_j := j+1. In every case (uj)(u_j) tends to α\alpha and (vj)(v_j) to β\beta in R\overline{\mathbb{R}}, and both conditions of step 4.3 hold.

step 4.3L11choose
6.1

Hence i<iapi+\sum_{i'<i} a_{p_{i'}} \to +\infty as ii \to \infty and l<laql\sum_{l'<l} a_{q_{l'}} \to -\infty as ll \to \infty: the left-hand sides are the values of the partial sums of ak+\sum a_k^{+}, respectively of ak-\sum a_k^{-}, at the strictly increasing indices pip_i, respectively qlq_l, and by step 4.1 those indices are at least ii, respectively ll.

step 4.1step 5.2L1
6.2

An induction on nn gives in+ln=ni_n + l_n = n and sn=k<naσ(k)s_n = \sum_{k<n} a_{\sigma(k)}: both hold at n=0n = 0, and each transition increases exactly one of i,li, l by one and adds to ss exactly the term aσ(n)a_{\sigma(n)} indexed by the emitted natural. So sn=Tns_n = T_n, the nn-th partial sum of the rearranged series.

step 4.3step 5.3L5L7
7.1

Consequently, for every i0Ni_0 \in \mathbb{N} and every real MM there is i>i0i > i_0 with i=i0i1api>M\sum_{i'=i_0}^{i-1} a_{p_{i'}} > M, and for every l0l_0 and every real MM there is l>l0l > l_0 with l=l0l1aql<M\sum_{l' = l_0}^{l-1} a_{q_{l'}} < M; this is step 6.1 together with splitting of finite sums, the omitted initial block being a fixed real.

step 6.1L6
7.2

An induction on nn gives that σ(n)=pin\sigma(n) = p_{i_n} at every step that increments ii, and σ(n)=qln\sigma(n) = q_{l_n} at every step that increments ll; since (in)(i_n) and (ln)(l_n) are nondecreasing and increase by one exactly at those steps, distinct steps of the first kind carry distinct values of ini_n and distinct steps of the second kind distinct values of lnl_n. As pp and qq are injective with disjoint ranges PP and NN, the map σ\sigma is injective.

step 4.3step 6.2step 5.1L5
8.1

There are infinitely many steps of each kind: if from some step n0n_0 on no step increments ll, then mnm_n is eventually constantly 00, because a step with m=1m = 1 that does not increment ll sets mm to 00 and a step with m=0m = 0 that does not increment ll leaves mm at 00; then jnj_n is eventually constant, say jj, and every subsequent step satisfies snvjs_n \le v_{j}, while by step 7.1 the values sns_n, which from n0n_0 on increase by the successive terms apia_{p_i}, exceed vjv_j for some nn. Symmetrically, if from some step on no step increments ii, then mnm_n is eventually constantly 11, jnj_n is eventually constant jj, every subsequent step satisfies snujs_n \ge u_j, and step 7.1 makes sns_n fall below uju_j.

step 7.1step 4.3step 6.2L5
9.1

Hence ini_n \to \infty and lnl_n \to \infty, so every pip_i and every qlq_l occurs as some σ(n)\sigma(n); since PN=NP \cup N = \mathbb{N} and p,qp, q enumerate PP and NN, the map σ\sigma is surjective, and with step 7.2 it is a bijection of N\mathbb{N}.

A1step 5.1step 7.2step 8.1L9
9.2

Likewise jnj_n \to \infty: if jnj_n were eventually constant jj, then from some step on no round is completed, so no step has m=1m = 1 and s<ujs < u_j; by the argument of step 8.1 the mode is then eventually constant, and either it is 00 forever, whence snvjs_n \le v_j always while sns_n increases past vjv_j, or it is 11 forever, whence snujs_n \ge u_j always while sns_n falls below uju_j.

step 7.1step 4.3step 8.1
10.1

For each j1j \ge 1 let βj\beta_j be the step at which the mode of round jj changes from 00 to 11, that is the unique nn with jn=jj_n = j, mn=0m_n = 0 and sn>vjs_n > v_j, and let αj\alpha_j be the step at which round jj is completed, the unique nn with jn=jj_n = j, mn=1m_n = 1 and sn<ujs_n < u_j; both exist by step 8.1 and step 9.2, and αj1<βj<αj\alpha_{j-1} < \beta_j < \alpha_j.

step 4.3step 8.1step 9.2choose
11.1

The step βj\beta_j is preceded, within round jj, either by a step that added a term api0a_{p_i} \ge 0 to a value svjs \le v_j, or by the completing step αj1\alpha_{j-1} of the previous round, which added a term api0a_{p_i} \ge 0 to a value s<uj1vjs < u_{j-1} \le v_j. In both situations vj<Tβjvj+apiv_j < T_{\beta_j} \le v_j + a_{p_i} for the index ii used at the immediately preceding step.

step 4.3step 10.1
11.2

Likewise the step αj\alpha_j is preceded within round jj by a step that added a term aql<0a_{q_l} < 0 to a value sujs \ge u_j, that step being either an earlier descent step or the switch βj\beta_j itself, at which s>vjujs > v_j \ge u_j; so ujaqlTαj<uju_j - |a_{q_l}| \le T_{\alpha_j} < u_j for the index ll used at that step.

step 4.3step 10.1
11.3

For αj1nβj\alpha_{j-1} \le n \le \beta_j the partial sums increase, every step of the climb adding a term api0a_{p_i} \ge 0; for βjnαj\beta_j \le n \le \alpha_j they decrease, every step of the descent adding a term aql<0a_{q_l} < 0. Hence for every nn with αj1nαj\alpha_{j-1} \le n \le \alpha_j one has min{Tαj1,Tαj}TnTβj\min\{T_{\alpha_{j-1}}, T_{\alpha_j}\} \le T_n \le T_{\beta_j}.

A1step 4.3step 10.1
12.1

Put δj:=max{api(j),aql(j)}\delta_j := \max\{a_{p_{i(j)}},\, |a_{q_{l(j)}}|\} for the two indices appearing in step 11.1 and step 11.2. As jj \to \infty those indices tend to infinity, by step 8.1 and step 9.2, so pi(j)p_{i(j)} \to \infty and ql(j)q_{l(j)} \to \infty by step 4.1, and δj0\delta_j \to 0 by step 1.1. Thus vj<Tβjvj+δjv_j < T_{\beta_j} \le v_j + \delta_j and ujδjTαj<uju_j - \delta_j \le T_{\alpha_j} < u_j for every j1j \ge 1.

step 1.1step 4.1step 8.1step 9.2step 11.1step 11.2
12.2

Fix nn and let JJ be least with αJ1n\alpha_{J-1} \ge n, which exists because the αj\alpha_j are strictly increasing. By step 11.3 every mαJ1m \ge \alpha_{J-1} satisfies Tmsup{Tβj:jJ}T_m \le \sup\{T_{\beta_j} : j \ge J\}, and only the finitely many indices mm with nm<αJ1n \le m < \alpha_{J-1} are unaccounted for; each of those lies in a round of index at most J1J-1 and so is at most max{Tβj:1jJ1}\max\{T_{\beta_j} : 1 \le j \le J-1\} together with TnT_n itself. Hence sup{Tm:mn}\sup\{T_m : m \ge n\} is finite or ++\infty according as sup{Tβj:jJ}\sup\{T_{\beta_j} : j \ge J\} is, and taking the infimum over nn, which drives JJ to infinity, gives lim supnTn=lim supjTβj\limsup_n T_n = \limsup_j T_{\beta_j}.

step 10.1step 11.3L10
13.1

Take uj=vj=cu_j = v_j = c for all jj, which satisfies the two conditions of step 4.3. Then c<Tβjc+δjc < T_{\beta_j} \le c + \delta_j and cδjTαj<cc - \delta_j \le T_{\alpha_j} < c, so by step 11.3 every nn with αj1nαj\alpha_{j-1} \le n \le \alpha_j has Tncmax{δj1,δj}|T_n - c| \le \max\{\delta_{j-1}, \delta_j\}. Given a real ε>0\varepsilon > 0, choose J2J \ge 2 with δj<ε\delta_j < \varepsilon for all jJ1j \ge J-1; then Tnc<ε|T_n - c| < \varepsilon for all nαJ1n \ge \alpha_{J-1}, so TncT_n \to c and the rearranged series converges with sum cc. This is claim 1.

step 12.1step 11.3L8
13.2

Take vj=j+1v_j = j+1 and uj=ju_j = j, which satisfy the two conditions. Then Tαjujδj=jδjT_{\alpha_j} \ge u_j - \delta_j = j - \delta_j, so by step 11.3 every nn with αj1nαj\alpha_{j-1} \le n \le \alpha_j has Tnmin{j1δj1,jδj}T_n \ge \min\{j-1-\delta_{j-1},\, j - \delta_j\}, a quantity that exceeds any prescribed real for all large jj; hence Tn+T_n \to +\infty. Taking instead vj=(j+1)v_j = -(j+1) and uj=(j+2)u_j = -(j+2), which also satisfy the two conditions, gives TnTβjvj+δj=(j+1)+δjT_n \le T_{\beta_j} \le v_j + \delta_j = -(j+1) + \delta_j on the same ranges, hence TnT_n \to -\infty. This is claim 2.

step 12.1step 11.3L8
13.3

By step 12.1 the subsequence (Tβj)j1(T_{\beta_j})_{j \ge 1} tends to β\beta and (Tαj)j1(T_{\alpha_j})_{j\ge1} tends to α\alpha, in R\overline{\mathbb{R}}: when the target sequence is real-valued and convergent the two-sided bound of step 12.1 with δj0\delta_j \to 0 gives it, and when the target sequence diverges the one-sided bound does.

step 12.1step 5.4L8L11
14.1

By step 13.3 and [L11], lim supjTβj=β\limsup_j T_{\beta_j} = \beta; so lim supnTn=β\limsup_n T_n = \beta. The same argument applied to infima, with αj\alpha_j in place of βj\beta_j and the lower bound of step 11.3 in place of the upper one, gives lim infnTn=lim infjTαj=α\liminf_n T_n = \liminf_j T_{\alpha_j} = \alpha.

step 13.3step 12.2L10L11
15.1

The bijection σ\sigma of step 5.3, built from the targets chosen in step 5.4, is therefore a rearrangement of ak\sum a_k whose partial sums have limit inferior α\alpha and limit superior β\beta; claims 1 and 2 are the special cases computed directly in step 13.1 and step 13.2, and claim 3 is the case α<β\alpha < \beta.

step 9.1step 13.1step 13.2step 14.1discharge-construct

Remarks

  • Only two properties of the series are used. That both part series diverge to ++\infty (Positive and negative parts: ak=ak+aka_k = a_k^{+} - a_k^{-} and ak=ak++ak|a_k| = a_k^{+} + a_k^{-}; a series converges absolutely iff both ak+\sum a_k^{+} and ak\sum a_k^{-} converge, and for a conditionally convergent series both diverge to ++\infty), which is what keeps the two supplies inexhaustible, and that ak0a_k \to 0 (If a series converges then its terms tend to 00), which is what makes the overshoot at each turning point vanish. Both hold for every conditionally convergent series and neither holds for an absolutely convergent one, whose part series both converge.

  • Where the well-ordering principle is used, and where it is not. It appears in step 2.1 and step 3.1, to define the increasing enumerations of PP and NN, and in step 5.1. It does not appear in the greedy rule: "take terms until the running sum crosses the target" is implemented as a one-step recursion whose state carries the two counters, the round and the running sum, so no least crossing index is ever selected. No choice principle is used anywhere; every object is determined by the data.

  • Zero terms are not a special case. They are collected into PP, so a run of zeros is consumed during a climb without moving the running sum, and the climb still terminates because the tail sums of iapi\sum_i a_{p_i} are unbounded. Had PP been defined as {k:ak>0}\{k : a_k > 0\}, the zero-indexed terms would have had to be inserted separately for σ\sigma to be surjective.

  • The oscillating case is genuinely more than the two divergences. With α<β\alpha < \beta both finite, the partial sums visit every neighbourhood of α\alpha and of β\beta infinitely often and are eventually confined to a neighbourhood of [α,β][\alpha, \beta]; the subsequential limit set of (Tn)(T_n) is then the whole interval, though nothing on this page needs that refinement.

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Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 117 results over 26 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.

Sources