Alphabeta Math
False statementConstruction: AI-adaptedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

FALSE: if the Cesaro means of a sequence converge then the sequence converges

Statement

False claim: if the Cesaro means (σn)(\sigma_n) of a sequence (xk)(x_k) of reals converge (The Cesaro means σn=(x0++xn)/(n+1)\sigma_n = (x_0 + \dots + x_n)/(n+1) and (C,1)(C,1)-summability), then (xk)(x_k) converges.

The implication in the opposite direction is true and is If xkLx_k \to L then σnL\sigma_n \to L: convergence implies (C,1)(C,1)-summability to the same value. The claim above asserts its converse, and it is refuted below by the alternating sequence sk=(1)ks_k = (-1)^k, whose Cesaro means converge to 00 while the sequence itself does not converge at all.

That is the whole reason Cesaro summability is worth defining: it is a strictly larger notion than convergence, consistent with it where both apply.

Facts & Assumptions

Given: The alternating sequence (sk)(s_k) of The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1, the unique sequence of reals with s0=1s_0 = 1 and sσ(k)=sks_{\sigma(k)} = -s_k, together with the index maps ee and oo of that lemma; and its partial sums Sn:=k<nskS_n := \sum_{k<n} s_k (Finite sums and finite products, by recursion), and its Cesaro means σn=(n+1)1Sn+1\sigma_n = (n+1)^{-1}S_{n+1} (The Cesaro means σn=(x0++xn)/(n+1)\sigma_n = (x_0 + \dots + x_n)/(n+1) and (C,1)(C,1)-summability).

[L1]

The alternating sequence: ee and oo are the unique maps with e0=0e_0 = 0, eσ(j)=σ(σ(ej))e_{\sigma(j)} = \sigma(\sigma(e_j)), o0=σ(0)o_0 = \sigma(0), oσ(j)=σ(σ(oj))o_{\sigma(j)} = \sigma(\sigma(o_j)); both are strictly increasing; N\mathbb{N} is the disjoint union of their ranges; (sk)(s_k) is the unique sequence with s0=1s_0 = 1 and sσ(k)=sks_{\sigma(k)} = -s_k; sk=1|s_k| = 1, sej=1s_{e_j} = 1 and soj=1s_{o_j} = -1 (The even and odd index maps and the alternating sequence: strictly increasing e,oe, o with N\mathbb{N} their disjoint union, and the unique (sk)(s_k) with s0=1s_0 = 1, sσ(k)=sks_{\sigma(k)} = -s_k, which satisfies sk=1|s_k| = 1, se1s \circ e \equiv 1 and so1s \circ o \equiv -1).

[L2]

Finite sums: k<0sk=0\sum_{k<0} s_k = 0 and k<n+1sk=k<nsk+sn\sum_{k<n+1} s_k = \sum_{k<n} s_k + s_n (Finite sums and finite products, by recursion, Laws of finite sums and finite products).

[L3]
[L4]

Cesaro means: σn=(n+1)1k=0nxk\sigma_n = (n+1)^{-1}\sum_{k=0}^{n}x_k, and k=0n=k<n+1\sum_{k=0}^{n} = \sum_{k<n+1} (The Cesaro means σn=(x0++xn)/(n+1)\sigma_n = (x_0 + \dots + x_n)/(n+1) and (C,1)(C,1)-summability, Finite sums and finite products, by recursion).

[L7]

Order arithmetic: (n+1)1R>0(n+1)\cdot 1_{\mathbb{R}} > 0 (Canonical naturals are positive and strictly increasing) hence invertible with positive inverse, and reciprocation reverses the order (Inverses of positives are positive, and reciprocation reverses order); u=u|u| = u for u0u \ge 0 (Basic properties of the absolute value); the order is total and transitive (Complete ordered field (least-upper-bound property), Ordered field).

Refutation

technique · direct
1.1

By induction on jj, oj=σ(ej)o_j = \sigma(e_j) and eσ(j)=σ(oj)e_{\sigma(j)} = \sigma(o_j): at j=0j = 0 one has o0=σ(0)=σ(e0)o_0 = \sigma(0) = \sigma(e_0), and eσ(j)=σ(σ(ej))=σ(oj)e_{\sigma(j)} = \sigma(\sigma(e_j)) = \sigma(o_j) follows from the first identity at jj, while oσ(j)=σ(σ(oj))=σ(eσ(j))o_{\sigma(j)} = \sigma(\sigma(o_j)) = \sigma(e_{\sigma(j)}) carries the first identity to σ(j)\sigma(j).

L1L3
1.2

The partial sums satisfy S0=0S_0 = 0 and Sσ(n)=Sn+snS_{\sigma(n)} = S_n + s_n, and σn=(n+1)1Sσ(n)\sigma_n = (n+1)^{-1}S_{\sigma(n)}.

L2L4L7
1.3

(sk)(s_k) does not converge.

L5
2.1

By induction on jj: Sej=0S_{e_j} = 0 and Soj=1S_{o_j} = 1. At j=0j = 0: Se0=S0=0S_{e_0} = S_0 = 0 and So0=Sσ(0)=S0+s0=1S_{o_0} = S_{\sigma(0)} = S_0 + s_0 = 1. For the step, Seσ(j)=Sσ(oj)=Soj+soj=1+(1)=0S_{e_{\sigma(j)}} = S_{\sigma(o_j)} = S_{o_j} + s_{o_j} = 1 + (-1) = 0 and Soσ(j)=Sσ(eσ(j))=Seσ(j)+seσ(j)=0+1=1S_{o_{\sigma(j)}} = S_{\sigma(e_{\sigma(j)})} = S_{e_{\sigma(j)}} + s_{e_{\sigma(j)}} = 0 + 1 = 1.

step 1.1step 1.2L1L3
3.1

Every natural number is eje_j for exactly one jj or ojo_j for exactly one jj, so Sm{0,1}S_m \in \{0,1\} for every mm; in particular 0Sσ(n)10 \le S_{\sigma(n)} \le 1 for every nn.

step 1.1step 2.1L1
4.1

Hence 0σn=(n+1)1Sσ(n)(n+1)10 \le \sigma_n = (n+1)^{-1}S_{\sigma(n)} \le (n+1)^{-1} and so σn(n+1)1|\sigma_n| \le (n+1)^{-1} for every nn.

step 1.2step 3.1L7
5.1

Given a real ε>0\varepsilon > 0, choose m1m \ge 1 with 1/m<ε1/m < \varepsilon; for every nmn \ge m one has n+1>mn+1 > m and therefore σn0(n+1)1<1/m<ε|\sigma_n - 0| \le (n+1)^{-1} < 1/m < \varepsilon. So (σn)(\sigma_n) converges to 00, that is, (sk)(s_k) is (C,1)(C,1)-summable to 00.

step 4.1L4L6L7
6.1

So (sk)(s_k) has convergent Cesaro means and does not converge, and the claim is false.

step 1.3step 5.1

Remarks

  • What averaging destroys. The Cesaro mean of the first n+1n+1 terms of an alternating sequence is either 00 or 1/(n+1)1/(n+1), because the terms cancel in pairs and at most one is left over. The oscillation is real and is not damped by any tail condition; it is simply invisible to the average. So the transform loses information, and no regular summability method can be expected to recover a limit that does not exist (The Cesaro matrix satisfies the Silverman-Toeplitz conditions, giving a second proof of the Cesaro mean theorem).

  • The worked computation of the means, with the values displayed, is The Cesaro means of (1)k(-1)^k converge to 00 although the sequence diverges .

  • A correct converse needs an extra hypothesis. The classical one is Tauberian: if the Cesaro means converge and in addition k(xkxk1)k(x_k - x_{k-1}) is bounded, then (xk)(x_k) converges. No such theorem is proved in this library, and none may be cited from it; the statement is mentioned only to say what the repaired claim would look like.

  • The failure is not caused by unboundedness. The witness is bounded, with sk=1|s_k| = 1 at every index. It is the same sequence that refutes the claim that bounded sequences converge (FALSE: every bounded sequence converges), and for the same underlying reason: boundedness forbids escaping, not oscillating.

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 69 results over 16 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