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ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05
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A Banach limit obtained from Hahn-Banach

Example

Let ℓ∞ be the real vector space of bounded real sequences with the supremum norm, let S:ℓ∞→ℓ∞ be the shift S(x0,x1,x2,… )=(x1,x2,x3,… ), and let C⊆ℓ∞ be the subspace of sequences whose Cesaro means converge.

Then there exists a linear functional L:ℓ∞→R such that

  • L(x)=lim⁡n→∞σn(x) for every x∈C;
  • L(x)≤lim sup⁡n→∞σn(x) for every bounded sequence x;
  • L(Sx)=L(x) for every bounded sequence x.

The next lemma shows that such an L is a Banach limit.

Facts & Assumptions

Given: The real vector space ℓ∞ of bounded real sequences, the shift S, and the Cesaro means σn(x) of a bounded sequence x.

[L1]

A sublinear functional is additive up to inequality and homogeneous for nonnegative real scalars (A sublinear functional on a real vector space).

[L2]

Dominated real linear functionals extend to the whole ambient real vector space (Hahn-Banach dominated extension theorem for real vector spaces).

[L3]

The nth Cesaro mean is σn(x)=1n+1∑k=0nxk (The Cesaro means σn=(x0+⋯+xn)/(n+1) and (C,1)-summability).

[L6]

A real sequence is a function on N, so bounded sequences are a special class of sequences in the sense of Sequences of reals: bounded, eventually, frequently, tails, subsequences.

Verification

technique · direct
1.1L1L3L4L5L6givenconstructalgebra

Define p:ℓ∞→R by p(x):=lim sup⁡n→∞σn(x). If x∈ℓ∞, choose M≥0 with ∣xn∣≤M for all n; then every Cesaro mean satisfies ∣σn(x)∣≤M, so [L4] shows that p(x) is an ordinary real number. Because σn(x+y)=σn(x)+σn(y) for every n, [L5] gives p(x+y)≤p(x)+p(y). Also σn(tx)=tσn(x) for every t≥0, so p(tx)=tp(x). Thus p is sublinear in the sense of [L1].

2.1L2L3L4step 1.1givenconstructalgebra

Let C⊆ℓ∞ be the set of sequences whose Cesaro means converge, and define λ(x):=lim⁡n→∞σn(x)(x∈C). Since σn(ax+by)=aσn(x)+bσn(y) for all real scalars a,b, the set C is a linear subspace and λ is linear. If x∈C, then the convergent sequence (σn(x)) has limit superior equal to its limit, so λ(x)≤p(x). Therefore [L2] yields a linear extension L:ℓ∞→R of λ with L≤p on all of ℓ∞.

3.1L3step 2.1givenalgebra

Let x=(xn)∈ℓ∞. Since x is bounded, there is M≥0 with ∣xn∣≤M for all n. Using [L3], σn(x−Sx)=1n+1∑k=0n(xk−xk+1)=x0−xn+1n+1. Hence ∣σn(x−Sx)∣≤∣x0∣+Mn+1→0, so x−Sx∈C and λ(x−Sx)=0. Since L extends λ, L(x−Sx)=0, that is, L(Sx)=L(x).

4.1step 2.1step 3.1∎

Step 2.1 gives the extension and domination properties, and step 3.1 gives shift invariance. Therefore L has all three properties listed in the example.

Depends on

Used by

Dependency tree · two levels

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Sources