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 . Fix a reference speed , a rate , and the weighted space with , as in Cutoff elastic-reflection collision measure and gain. Let be nonnegative with , first moment , and finite second moment . Put
Then there is a unique , with continuity in the norm, satisfying
where the time integral is the norm limit of Riemann sums in . For all , , , , and . If almost everywhere, then almost everywhere.
If in addition for some and , with as in Regularity and invariance of the cutoff Gaussian-mixture class, then each has a positive velocity representative with the Gaussian bounds in that lemma; these representatives depend continuously on locally uniformly in velocity, are in , and satisfy pointwise.
Facts & Assumptions
Given: , , , and with the nonnegativity, normalization, and finite-second-moment hypotheses of the Statement.
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()) for the completed Lebesgue measure suppliers in the collision-operator construction.
Cutoff elastic-reflection collision measure and gain: has norm , and is the elastic-reflection gain.
Well-defined elastic reflection gain and collision identities: maps bilinearly to with , and for mass-one its gain has the same mass, first moment, and second moment as .
Regularity and invariance of the cutoff Gaussian-mixture class: the closed convex class is invariant under , and its elements have common positive Gaussian lower bounds and smooth Gaussian derivative envelopes.
A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point: a contraction of a nonempty complete metric space into itself has a unique fixed point.
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.
Dominated convergence: pointwise almost-everywhere convergence dominated by one integrable function permits passage of limits through the Lebesgue integral.
Proof
Given: [A1], , , , and [F1]–[F6].
Proof technique: direct.
The weighted measure is sigma-finite because is bounded on every bounded ball. To prove complete, let be Cauchy in its norm and choose a subsequence with . By [F5], the nonnegative series is finite almost everywhere and has finite integral. Hence converges pointwise almost everywhere to a measurable , and the integral of each tail is bounded by , so in . The same estimates give . Since the original sequence was Cauchy, it converges to the same . Thus is complete.
Put and , and let be the subset of of nonnegative functions with mass , first moment , and second moment . It is nonempty because . It is closed: if in , then , , and ; also the negative part of is bounded by whenever . Thus all constraints pass to the limit, and is complete. The continuous path space with the supremum metric is complete: a uniformly Cauchy sequence has pointwise limits in , converges uniformly, and the triangle inequality with one continuous approximant proves continuity of the limit.
Let ; every has . On define The integrand is norm-continuous because is continuous and [F2] bounds the bilinear map. Its Riemann sums are Cauchy in by uniform continuity on and completeness from step 1.1. The gain identities in [F2] show that has mass , first moment , and second moment , since ; nonnegativity is preserved as well. Therefore maps this path space into itself.
Bilinearity and [F2] give Hence . Choose , so this constant is . The nonempty complete path space from step 2.1 and [F4] yield a unique fixed point on . Differentiating its norm-continuous mild integral gives in .
Suppose . 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 , assign each subinterval the exact nonnegative weight and evaluate the gain at one point of that interval; these weights sum to . Adding the weight on gives convex combinations in the class. As the mesh tends to zero, the Riemann sums converge in to , so closedness puts in the class. Thus Picard iteration of starting at the constant path remains in , and [F4] makes its uniform limit the fixed point. Therefore every lies in this class and has the smooth positive representative and Gaussian envelopes from [F3].
At the solution is again in . Restart the same construction with initial value ; the same gives the same positive interval length. Iterating constructs a solution on every , 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 almost everywhere.
On any compact time interval, the uniform spatial derivative bounds from [F3] make the family of representatives locally relatively compact in . If , continuity in gives in weighted . Every subsequence has a further locally uniformly convergent subsequence by [F3]; its limit equals almost everywhere the continuous representative of , hence equals it everywhere. A subsequence on which local uniform convergence failed would contradict this property, so is locally uniformly continuous in velocity. For in a compact velocity set, the gain integrand is continuous in , and pair-energy preservation gives the integrable majorant , uniform on that compact set and compact time intervals. Dominated convergence [F6] therefore makes the pointwise gain integral finite and jointly continuous in ; it is a continuous representative of the -class gain. In particular, for fixed this supplies the integrable majorant uniformly on compact time intervals.
For each fixed , the Riemann sums defining the mild integral converge in ; their pointwise limits are the ordinary time integral because the gain is continuous in time by step 5.1. Choose a subsequence whose successive -norm differences are summable; the Tonelli argument in step 1.1, using [F5], shows it converges almost everywhere to the -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 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 . This proves the stated pointwise time regularity.
Depends on
Cutoff elastic-reflection collision measure and gain
Well-defined elastic reflection gain and collision identities
Regularity and invariance of the cutoff Gaussian-mixture class
The Axiom of Countable Choice ()
A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Dominated convergence