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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Ergodic averages converge in Lp on finite-measure spaces

Statement

Let μ(X)<, let T preserve μ, let 1p<, and let fLp(μ) be real or complex valued. If f is its Birkhoff limit, then fLp(μ) and

Anffp0.

No L convergence is asserted.

Facts & Assumptions

Given: The finite measure space, T, p, f, and f in the Statement.

[F1]
[F2]

On finite measure spaces, a.e. convergence implies convergence in measure, and convergence in measure plus uniform integrability gives L1 convergence (On a finite measure space, almost-everywhere convergence implies convergence in measure, Vitali convergence theorem on finite and sigma-finite measure spaces).

[F3]

Markov's inequality, dominated convergence, and Fatou's lemma have their usual integral forms (Chebyshev-Markov inequality for the integral, Dominated convergence, Fatou's lemma).

[F4]

A bounded function on a finite measure space belongs to every finite Lp (Finite-measure Lr includes into Lp for p<r).

Proof

technique · cases $p=1$ and $1<p<\infty$
1.1

Assume p=1. Put En,M={Anf>M}. Contractivity and Markov give μ(En,M)f1/M. For K>0, split f=fK+rK by radial clipping, so fKK and rK=(fK)+. Pointwise, AnfAnfK+AnrK. Consequently En,MAnfdμKf1M+rK1, where invariance gives AnrK=rK1.

assume-case poneF1F3
1.2

Now assume 1<p<. Let fm=f1{fm}. Then fm is bounded and belongs to Lp by [F4], while dominated convergence applied to ffmp gives ffmp0.

assume-case pgreatF3F4
2.1

As K, rK0 and is dominated by f, so its integral tends to zero. Choose K and then M in step 1.1; the bound is uniform in n and proves uniform integrability of (Anf). For complex f, it also proves uniform integrability of the real and imaginary parts because each component modulus is bounded by Anf.

F3step 1.1
2.2

Let fm be the Birkhoff limit of fm. For fixed m, both Anfm and fm are bounded by m. Their pointwise difference tends to zero a.e.; dominated convergence on the finite measure space therefore gives Anfmfmp0.

F1F3F4step 1.2
3.1

By [F1] the averages converge a.e., hence by [F2] in measure. Vitali applied to the real and imaginary parts gives L1 convergence to their corresponding components of f. The complex triangle inequality combines the two component conclusions.

F1F2step 2.1cases: p-one
4.1

Since An(ffm)ffm a.e., Fatou and contractivity imply ffmplim infnAn(ffm)pffmp. Thus fLp, and lim supnAnffp2ffmp. Letting m proves the claim. The two cases exhaust 1p<; the proof never supplies uniform-norm convergence.

F1F3step 1.2step 2.2cases-exhaustive

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