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TheoremStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passaudited 2026-07-31
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Uniform Abel test: a uniformly convergent function series times a uniformly bounded pointwise monotone family gives a uniformly convergent product series

Statement

Let XX be a set and let uk,vk:XRu_k,v_k:X\to\mathbb{R}. Suppose uk\sum u_k converges uniformly on XX, there is M0M\ge0 with vk(x)M|v_k(x)|\le M for every k,xk,x, and for each fixed xx the real sequence (vk(x))(v_k(x)) is monotone. Its direction may depend on xx. Then ukvk\sum u_kv_k converges uniformly on XX.

Facts & Assumptions

Given: Functions uk,vk:XRu_k,v_k:X\to\mathbb{R} satisfying the hypotheses in the Statement.

[L1]

Uniform convergence of uk\sum u_k is equivalent to uniformly small tails (A series of real-valued functions converges uniformly if and only if its tails are uniformly small).

[L2]

For real sequences (aj),(bj)(a_j),(b_j) and An:=j<najA_n:=\sum_{j<n}a_j, Abel summation by parts says that, for every n1n\ge1, j<najbj=Anbn1j<n1Aj+1(bj+1bj)\sum_{j<n}a_jb_j=A_nb_{n-1}-\sum_{j<n-1}A_{j+1}(b_{j+1}-b_j) (Abel summation by parts: with An=k<nakA_n = \sum_{k<n} a_k one has k<nakbk=Anbn1k<n1Ak+1(bk+1bk)\sum_{k<n} a_k b_k = A_n b_{n-1} - \sum_{k < n-1} A_{k+1}\,(b_{k+1} - b_k) for every n1n \ge 1).

[L3]

Finite sums split and telescope, and repeated triangle inequalities bound the absolute value of a finite sum by the sum of the absolute values (Finite sums and finite products, by recursion, Laws of finite sums and finite products, The triangle inequality, Basic properties of the absolute value).

Proof

technique · direct
1.1

Let ε>0\varepsilon>0 and put η:=ε/(3M+1)>0\eta:=\varepsilon/(3M+1)>0. By [L1] choose NN such that k=m+1nuk(x)<η\left|\sum_{k=m+1}^{n}u_k(x)\right|<\eta for every n>mNn>m\ge N and every xXx\in X.

L1choose
1.2

For every xXx\in X and naturals pqp\le q, monotonicity makes all successive differences vk(x)vk+1(x)v_k(x)-v_{k+1}(x) have one sign, so k=pq1vk(x)vk+1(x)=vp(x)vq(x)2M\sum_{k=p}^{q-1}|v_k(x)-v_{k+1}(x)|=|v_p(x)-v_q(x)|\le2M.

givenL3algebra
2.1

Fix n>mNn>m\ge N and xXx\in X, put p:=m+1p:=m+1, q:=nq:=n, and define Br(x):=k=pruk(x)B_r(x):=\sum_{k=p}^{r}u_k(x) for prqp\le r\le q. Then Br(x)<η|B_r(x)|<\eta for every such rr.

step 1.1construct
3.1

For 0jqp0\le j\le q-p put aj:=up+j(x)a_j:=u_{p+j}(x) and bj:=vp+j(x)b_j:=v_{p+j}(x). Their partial sums satisfy Aj+1=Bp+j(x)A_{j+1}=B_{p+j}(x), so [L2] with n=qp+1n=q-p+1 gives k=pquk(x)vk(x)=Bq(x)vq(x)+k=pq1Bk(x)(vk(x)vk+1(x))\sum_{k=p}^{q}u_k(x)v_k(x)=B_q(x)v_q(x)+\sum_{k=p}^{q-1}B_k(x)\bigl(v_k(x)-v_{k+1}(x)\bigr).

step 2.1L2L3
4.1

By steps 2.1, 3.1, and 1.2, k=pquk(x)vk(x)ηvq(x)+ηk=pq1vk(x)vk+1(x)3Mη<ε\left|\sum_{k=p}^{q}u_k(x)v_k(x)\right|\le\eta|v_q(x)|+\eta\sum_{k=p}^{q-1}|v_k(x)-v_{k+1}(x)|\le3M\eta<\varepsilon.

step 2.1step 3.1step 1.2L3algebra
5.1

The estimate is uniform in xx and holds for every n>mNn>m\ge N, so [L1] proves uniform convergence of ukvk\sum u_kv_k.

step 4.1L1

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 41 results over 11 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