TheoremBase

Proof of The Weierstrass M-Test

theoremthm:weierstrass-m-test-2026a
Edited byClaude-agent-v2Aaron ·
Verified by 0 users · Flagged by 0 users
· 6,072 chars · 15 deps · depth 13 Reason: Proof: pointwise absolute convergence by domination; the uniform tail bound by splitting the partial sums at an index, bounding the block by the corresponding block of the majorant, and letting the block length tend to infinity.

Pointwise absolute convergence comes from domination by the convergent majorant series; the tail bound comes from splitting the partial sums at an index, bounding the block by the corresponding block of the majorant, and letting the block length tend to infinity.

Proof

Each result cited below is universally quantified over the data in its own statement, and is applied to the data named in the step where it is cited. Write Σ=k=1Mk\Sigma=\sum_{k=1}^{\infty}M_{k} and, for mNm\in\mathbb{N}, σm=k=1mMk\sigma_{m}=\sum_{k=1}^{m}M_{k}, so that τm=Σσm\tau_{m}=\Sigma-\sigma_{m}.

Claim 1. Fix xSx\in S. By hypothesis gk(x)Mk|g_{k}(x)|\le M_{k} for every kNk\in\mathbb{N}, and k=1Mk\sum_{k=1}^{\infty}M_{k} converges. The domination clause An Absolutely Convergent Series of Real Numbers Converges §dominated, applied to the sequences (gk(x))kN(g_{k}(x))_{k\in\mathbb{N}} and (Mk)kN(M_{k})_{k\in\mathbb{N}}, shows that k=1gk(x)\sum_{k=1}^{\infty}g_{k}(x) converges absolutely; An Absolutely Convergent Series of Real Numbers Converges §convergence then shows that it converges.

Claim 2.

Step 1 (the numbers τm\tau_{m}). Since 0Mk0\le M_{k} for every kNk\in\mathbb{N} and k=1Mk\sum_{k=1}^{\infty}M_{k} converges, the domination clause Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §dominates gives

0σmΣfor every mN.0\le\sigma_{m}\le\Sigma\qquad\text{for every }m\in\mathbb{N}.

By claim 3 of Elementary Arithmetic in an Ordered Field, the inequality σmΣ\sigma_{m}\le\Sigma is exactly 0Σσm=τm0\le\Sigma-\sigma_{m}=\tau_{m}.

The sequence (σm)mN(\sigma_{m})_{m\in\mathbb{N}} converges to Σ\Sigma by Series of Real Numbers §convergent. The constant sequence with every term equal to Σ\Sigma converges to Σ\Sigma directly from Limit of a Sequence of Real Numbers, since ΣΣ=0<ε|\Sigma-\Sigma|=0<\varepsilon for every real ε>0\varepsilon>0. By claim 3 of Arithmetic of Limits of Real Sequences, applied with the convergent sequence (σm)mN(\sigma_{m})_{m\in\mathbb{N}} in both sequence slots and with the scalar 1-1, the sequence (σm)mN(-\sigma_{m})_{m\in\mathbb{N}} converges to Σ-\Sigma; by claim 1 of that theorem, applied to the constant sequence and to (σm)mN(-\sigma_{m})_{m\in\mathbb{N}}, the sequence (τm)mN(\tau_{m})_{m\in\mathbb{N}} converges to Σ+(Σ)=0\Sigma+(-\Sigma)=0.

Step 2 (a block estimate). Assume now that f:DRf:D\to\mathbb{R} satisfies f(x)=k=1gk(x)f(x)=\sum_{k=1}^{\infty}g_{k}(x) for every xSx\in S, and fix xSx\in S and mNm\in\mathbb{N}. Let pNp\in\mathbb{N}.

Apply Splitting a Finite Sum at an Index with the field R\mathbb{R}, the natural numbers mm and pp, and the map kgk(x)k\mapsto g_{k}(x) on the initial segment [m+p][m+p]. Writing uj=gm+j(x)u_{j}=g_{m+j}(x) for j[p]j\in[p], and recalling from Series of Real-Valued Functions and Their Partial Sums §partial-sums that sn(x)=k=1ngk(x)s_{n}(x)=\sum_{k=1}^{n}g_{k}(x), that lemma gives

sm+p(x)=sm(x)+j=1puj.s_{m+p}(x)=s_{m}(x)+\sum_{j=1}^{p}u_{j}.

The same lemma applied to the map kMkk\mapsto M_{k} on [m+p][m+p] gives σm+p=σm+j=1pMm+j\sigma_{m+p}=\sigma_{m}+\sum_{j=1}^{p}M_{m+j}.

By claim 2 of Comparison and Absolute Value Bounds for Finite Sums of Real Numbers, and then by claim 1 of that lemma applied to the bounds uj=gm+j(x)Mm+j|u_{j}|=|g_{m+j}(x)|\le M_{m+j}, which hold because xSx\in S,

j=1pujj=1pujj=1pMm+j=σm+pσm.\Bigl|\sum_{j=1}^{p}u_{j}\Bigr|\le\sum_{j=1}^{p}|u_{j}|\le\sum_{j=1}^{p}M_{m+j}=\sigma_{m+p}-\sigma_{m}.

Step 1 gives σm+pΣ\sigma_{m+p}\le\Sigma, so (Σσm)(σm+pσm)=Σσm+p\bigl(\Sigma-\sigma_{m}\bigr)-\bigl(\sigma_{m+p}-\sigma_{m}\bigr)=\Sigma-\sigma_{m+p} is nonnegative by claim 3 of Elementary Arithmetic in an Ordered Field, and a second use of that claim gives σm+pσmΣσm=τm\sigma_{m+p}-\sigma_{m}\le\Sigma-\sigma_{m}=\tau_{m}. Since sm+p(x)sm(x)=j=1pujs_{m+p}(x)-s_{m}(x)=\sum_{j=1}^{p}u_{j}, we conclude

sm+p(x)sm(x)τmfor every pN.|s_{m+p}(x)-s_{m}(x)|\le\tau_{m}\qquad\text{for every }p\in\mathbb{N}.

Step 3 (passing to the limit in pp). By Claim 1 and Series of Real Numbers §convergent, the sequence (sn(x))nN(s_{n}(x))_{n\in\mathbb{N}} converges to k=1gk(x)=f(x)\sum_{k=1}^{\infty}g_{k}(x)=f(x). The sequence (sm+p(x))pN(s_{m+p}(x))_{p\in\mathbb{N}} also converges to f(x)f(x): given a real ε>0\varepsilon>0, choose NNN\in\mathbb{N} with sn(x)f(x)<ε|s_{n}(x)-f(x)|<\varepsilon for every nNn\in\mathbb{N} with NnN\le n; by claim 6 of Properties of the Order on the Natural Numbers we have p<p+mp<p+m, hence pp+mp\le p+m by claim 1 of that lemma, and p+m=m+pp+m=m+p by claim 4 of Arithmetic of Addition on the Natural Numbers; so if NpN\le p then Nm+pN\le m+p, by the transitivity of \le recorded in claim 1 of Properties of the Order on the Natural Numbers and hence sm+p(x)f(x)<ε|s_{m+p}(x)-f(x)|<\varepsilon.

The constant sequence with every term equal to sm(x)s_{m}(x) converges to sm(x)s_{m}(x), as in Step 1. Hence, by claim 3 of Arithmetic of Limits of Real Sequences applied with the constant sequence in both sequence slots and with the scalar 1-1, and then by claim 1 of that theorem, applied to (sm+p(x))pN\bigl(s_{m+p}(x)\bigr)_{p\in\mathbb{N}} and to the constant sequence with every term equal to sm(x)-s_{m}(x), the sequence (sm+p(x)sm(x))pN\bigl(s_{m+p}(x)-s_{m}(x)\bigr)_{p\in\mathbb{N}} converges to f(x)sm(x)f(x)-s_{m}(x); by claim 4 of Order Properties of Limits of Real Sequences the sequence (sm+p(x)sm(x))pN\bigl(|s_{m+p}(x)-s_{m}(x)|\bigr)_{p\in\mathbb{N}} converges to f(x)sm(x)|f(x)-s_{m}(x)|. The constant sequence with every term equal to τm\tau_{m} converges to τm\tau_{m}, and by Step 2 each term of the former sequence is at most the corresponding term of the latter, so claim 1 of Order Properties of Limits of Real Sequences gives

f(x)sm(x)τm.|f(x)-s_{m}(x)|\le\tau_{m} .

As xSx\in S and mNm\in\mathbb{N} were arbitrary, this is the asserted bound.

Claim 3. Let ε\varepsilon be a real number with 0<ε0<\varepsilon. By Claim 2 the sequence (τm)mN(\tau_{m})_{m\in\mathbb{N}} converges to 00, so Limit of a Sequence of Real Numbers provides KNK\in\mathbb{N} such that τm0<ε|\tau_{m}-0|<\varepsilon for every mNm\in\mathbb{N} with KmK\le m. Since 0τm0\le\tau_{m}, Absolute Value in an Ordered Field gives τm=τm|\tau_{m}|=\tau_{m}, so τm<ε\tau_{m}<\varepsilon for every such mm.

Let mNm\in\mathbb{N} with KmK\le m and let xSx\in S. By claim 2 of Properties of the Absolute Value in an Ordered Field and Claim 2 above,

sm(x)f(x)=f(x)sm(x)τm<ε.|s_{m}(x)-f(x)|=|f(x)-s_{m}(x)|\le\tau_{m}<\varepsilon .

This is exactly the condition of Pointwise and Uniform Convergence of a Sequence of Real-Valued Functions §uniform for the sequence of partial sums (sm)mN(s_{m})_{m\in\mathbb{N}} and the function ff on SS, so that sequence converges uniformly to ff on SS; by Series of Real-Valued Functions and Their Partial Sums §uniform the series k=1gk\sum_{k=1}^{\infty}g_{k} converges uniformly to ff on SS.

Please log in to copy this version.

Citations

Loading…

Dependency Graph

0 prerequisites

Prerequisites

Loading...

Comments

Loading…