Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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.

Global finite-energy cutoff collision evolution

Statement

Assume ACω. Fix a reference speed v0>0, a rate λ>0, and the weighted space X=L1(R3,w0 dv) with w0(v)=1+∣v∣2/v02, as in Cutoff elastic-reflection collision measure and gain. Let f0∈X be nonnegative with ∫f0 dv=1, first moment m1=∫vf0(v) dv, and finite second moment E2=∫∣v∣2f0(v) dv. Put

K:={g∈X:g≥0 a.e., ∫g dv=1, ∫vg dv=m1, ∫∣v∣2g dv=E2}.

Then there is a unique f∈C([0,∞),K), with continuity in the X norm, satisfying

ft=e−λtf0+λ∫0te−λ(t−s)G(fs,fs) ds,

where the time integral is the norm limit of Riemann sums in X. For all t≥0, ft≥0, ∫ft dv=1, ∫vft dv=∫vf0 dv, and ∫∣v∣2ft dv=E2. If f0>0 almost everywhere, then ft≥e−λtf0 almost everywhere.

If in addition f0∈Mu,a,b for some u∈R3 and 0<a<b, with Mu,a,b as in Regularity and invariance of the cutoff Gaussian-mixture class, then each ft has a positive C∞ velocity representative with the Gaussian bounds in that lemma; these representatives depend continuously on t locally uniformly in velocity, are C1 in t, and satisfy ∂tft=λ(G(ft,ft)−ft) pointwise.

Facts & Assumptions

Given: ACω, v0>0, λ>0, and f0∈X with the nonnegativity, normalization, and finite-second-moment hypotheses of the Statement.

[A1]

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)) for the completed Lebesgue measure suppliers in the collision-operator construction.

[F1]

Cutoff elastic-reflection collision measure and gain: X has norm ∥f∥1,w0=∫(1+∣v∣2/v02)∣f(v)∣ dv, and G is the elastic-reflection gain.

[F2]

Well-defined elastic reflection gain and collision identities: G maps X×X bilinearly to X with ∥G(f,g)∥1,w0≤2∥f∥1,w0∥g∥1,w0, and for mass-one f its gain has the same mass, first moment, and second moment as f.

[F3]

Regularity and invariance of the cutoff Gaussian-mixture class: the closed convex class Mu,a,b is invariant under G, and its elements have common positive Gaussian lower bounds and smooth Gaussian derivative envelopes.

[F5]

Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative measurable functions on a sigma-finite product have measurable sections and equal iterated integrals.

[F6]

Dominated convergence: pointwise almost-everywhere convergence dominated by one integrable function permits passage of limits through the Lebesgue integral.

Proof

Given: [A1], v0>0, λ>0, f0∈X, and [F1]–[F6].

Proof technique: direct.

1.1A1F5construct

The weighted measure w0 dv is sigma-finite because w0 is bounded on every bounded ball. To prove X complete, let (gn) be Cauchy in its norm and choose a subsequence (gnj) with ∥gnj+1−gnj∥1,w0≤2−j. By [F5], the nonnegative series ∑jw0∣gnj+1−gnj∣ is finite almost everywhere and has finite integral. Hence gnj converges pointwise almost everywhere to a measurable g, and the integral of each tail is bounded by ∑j≥J2−j, so gnj→g in X. The same estimates give ∥g∥1,w0<∞. Since the original sequence was Cauchy, it converges to the same g. Thus X is complete.

2.1F1step 1.1algebra

Put m1=∫vf0 dv and E2=∫∣v∣2f0 dv, and let K be the subset of X of nonnegative functions with mass 1, first moment m1, and second moment E2. It is nonempty because f0∈K. It is closed: if gn→g in X, then ∫∣gn−g∣≤∥gn−g∥1,w0, ∫∣v∣∣gn−g∣≤(v0/2)∥gn−g∥1,w0, and ∫∣v∣2∣gn−g∣≤v02∥gn−g∥1,w0; also the negative part of g is bounded by ∣g−gn∣ whenever gn≥0. Thus all constraints pass to the limit, and K is complete. The continuous path space C([0,T],K) with the supremum metric is complete: a uniformly Cauchy sequence has pointwise limits in K, converges uniformly, and the triangle inequality with one continuous approximant proves continuity of the limit.

2.2F1F2step 1.1algebra

Let M0=1+E2/v02; every g∈K has ∥g∥1,w0=M0. On C([0,T],K) define Φ(g)t=e−λtf0+λ∫0te−λ(t−s)G(gs,gs) ds. The integrand is norm-continuous because s↦gs is continuous and [F2] bounds the bilinear map. Its Riemann sums are Cauchy in X by uniform continuity on [0,T] and completeness from step 1.1. The gain identities in [F2] show that Φ(g)t has mass 1, first moment m1, and second moment E2, since e−λt+λ∫0te−λ(t−s)ds=1; nonnegativity is preserved as well. Therefore Φ maps this path space into itself.

3.1F2F4step 2.1step 2.2algebra

Bilinearity and [F2] give ∥G(gs,gs)−G(hs,hs)∥1,w0≤2∥gs−hs∥1,w0(∥gs∥1,w0+∥hs∥1,w0)=4M0∥gs−hs∥1,w0. Hence ∥Φ(g)−Φ(h)∥C([0,T],X)≤4λM0T∥g−h∥C([0,T],X). Choose T=(8λM0)−1, so this constant is 1/2. The nonempty complete path space from step 2.1 and [F4] yield a unique fixed point on [0,T]. Differentiating its norm-continuous mild integral gives ft′=λ(G(ft,ft)−ft) in X.

3.2F3F4step 2.2

Suppose f0∈Mu,a,b. The class is closed and convex by definition. If a path takes values in this class, [F3] puts every gain value in the class. For a partition 0=s0<⋯<sN=t, assign each subinterval Ij=[sj−1,sj] the exact nonnegative weight λ∫Ije−λ(t−s) ds and evaluate the gain at one point of that interval; these weights sum to 1−e−λt. Adding the weight e−λt on f0 gives convex combinations in the class. As the mesh tends to zero, the Riemann sums converge in X to Φ(g)t, so closedness puts Φ(g)t in the class. Thus Picard iteration of Φ starting at the constant path f0 remains in Mu,a,b, and [F4] makes its uniform limit the fixed point. Therefore every ft lies in this class and has the smooth positive representative and Gaussian envelopes from [F3].

4.1F2step 3.1algebra

At t=T the solution is again in K. Restart the same construction with initial value fT; the same M0 gives the same positive interval length. Iterating constructs a solution on every [0,kT], and uniqueness on overlaps makes the concatenation a unique global mild solution. Substituting the restarted mild formula into the preceding interval gives the displayed global formula. Since the gain is nonnegative, the formula also gives ft≥e−λtf0 almost everywhere.

5.1F3F6step 1.1step 4.1algebra

On any compact time interval, the uniform spatial derivative bounds from [F3] make the family of representatives locally relatively compact in C∞. If tj→t, continuity in X gives ftj→ft in weighted L1. Every subsequence has a further locally uniformly convergent subsequence by [F3]; its limit equals almost everywhere the continuous representative of ft, hence equals it everywhere. A subsequence on which local uniform convergence failed would contradict this property, so t↦ft is locally uniformly continuous in velocity. For v in a compact velocity set, the gain integrand fs(v′)fs(w′) is continuous in (s,v), and pair-energy preservation gives the integrable majorant Ce−∣w−u∣2/(2b), uniform on that compact set and compact time intervals. Dominated convergence [F6] therefore makes the pointwise gain integral finite and jointly continuous in (s,v); it is a continuous representative of the X-class gain. In particular, for fixed v this supplies the integrable majorant C(v)e−∣w−u∣2/(2b) uniformly on compact time intervals.

6.1F3F5F6step 1.1step 3.2step 5.1algebra∎

For each fixed t, the Riemann sums defining the mild integral converge in X; their pointwise limits are the ordinary time integral because the gain is continuous in time by step 5.1. Choose a subsequence whose successive X-norm differences are summable; the Tonelli argument in step 1.1, using [F5], shows it converges almost everywhere to the X-class limit. Hence the pointwise time integral represents the mild right-hand side. It is continuous in velocity by the same compact-velocity Gaussian majorant in step 5.1. The left side has the smooth representative from step 3.2. Since these continuous representatives agree as X classes, they agree everywhere; a continuous function vanishing almost everywhere vanishes everywhere. The ordinary fundamental theorem of calculus applied to the pointwise mild integral gives ∂tft(v)=λ(G(ft,ft)(v)−ft(v)). This proves the stated pointwise C1 time regularity.

Depends on

Dependency tree · 2 levels

Sources