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.
Finite sectional dynamics have a unique global positive solution
Statement
For every nonnegative finite-grid initial state , with grid indices , mesh width , maximum aggregation rate , fragmentation rate bound , and daughter count bound , the ODE of Finite sectional coagulation-fragmentation balance with reported overflow has a unique solution for all , and the solution remains nonnegative. Here and each daughter measure has first moment . If its initial augmented mass is , then
where and .
Facts & Assumptions
Given: A finite-dimensional autonomous event ODE, a nonnegative initial state, and the mass and positivity conclusions of the cited items.
The finite sectional reaction vector field is locally Lipschitz: the finite-dimensional right-hand side is locally Lipschitz.
Finite sectional event dynamics preserve positivity and retained-plus-reservoir mass: solutions remain nonnegative and on their intervals of existence.
Every Picard–Lindelöf initial value problem has one maximal solution on an open interval: every locally Lipschitz finite-dimensional initial-value problem has a unique maximal solution.
Picard-Lindelöf local existence and uniqueness for first-order systems: every locally Lipschitz finite-dimensional initial-value problem has a unique solution on a neighborhood of its initial time.
Fixed-pivot weights are nonnegative and reproduce number and mass: redistributing a product or daughter of size adds at most to its second moment.
Proof
By [F1] and [F3], the event ODE has a unique maximal solution on an open time interval containing . While it exists, [F2] puts every coordinate in the closed set and , which is compact because the grid is finite and .
Along each in-range coagulation event at parent masses , the second-moment increment is at most by [F5]; an overflow event only removes retained second moment. Summing the event rates bounds the coagulation contribution by . For fragmentation, because and ; pivot redistribution adds at most per parent event. Thus its second-moment contribution is at most .
Since , the mass bound in step 1.1 gives and . Integrating the derivative bound in step 1.2 yields the displayed estimate.
If the maximal right endpoint were finite, step 1.1 puts the solution in a compact set. Continuity of there gives a bound on , so and has a limit in that set as . By [F4], restarting at the limit gives a local solution; uniqueness in [F3] glues it to the existing solution and extends past , a contradiction. The same argument applies at every finite endpoint.
Depends on
- Finite sectional event dynamics preserve positivity and retained-plus-reservoir mass
- The finite sectional reaction vector field is locally Lipschitz
- Fixed-pivot weights are nonnegative and reproduce number and mass
- Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
- Picard-Lindelöf local existence and uniqueness for first-order systems
- Finite sectional coagulation-fragmentation balance with reported overflow
Used by
Dependency tree · two levels
18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Philippe Laurençot and Stéphane Mischler, From the discrete to the continuous coagulation-fragmentation equations, §1 (standard reference, not scraped)
- Jitendra Kumar, Numerical approximations of population balance equations in particulate systems, Chapter 2 (standard reference, not scraped)