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Bounded-kernel measure solutions are stable in bounded-Lipschitz discrepancy
Statement
Let be positive weak solutions of Continuous-size coagulation-fragmentation weak model on , with . Then for a constant depending only on ,
Facts & Assumptions
Given: Two positive weak solutions, the bounded-Lipschitz test class, symmetric bounded Lipschitz , and bounded Lipschitz fragmentation data.
Continuous-size coagulation-fragmentation weak model: the coagulation test increment is , and the fragmentation increment is .
Bounded-Lipschitz discrepancy for finite measures: is the supremum over tests with and .
Bounded-kernel measure solutions conserve mass and control number and second moments: the number moments of both solutions are bounded by their initial number times .
Proof
Fix an admissible test in [F2]. The coagulation integrand has a uniform supremum bound and uniform Lipschitz bounds in each variable: the bracket is bounded by and changes by at most when only changes, so the product rule for differences gives a bound depending only on .
The function is bounded by and Lipschitz with constant at most , by the assumed boundedness and . Thus its fragmentation derivative difference is bounded by a constant times .
Write . For each fixed value of the other variable, the section of is a bounded-Lipschitz function with the constants from step 1.1. Scaling that section into the unit test class [F2] and integrating the other variable gives a coagulation derivative difference bounded by .
Integrating the weak equations, steps 2.1 and 1.2 give for every admissible the bound , where [F3] makes uniform on . Taking the supremum gives . Put ; then and almost everywhere, so and .
Depends on
Used by
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Sources
- Philippe Laurençot, Weak compactness techniques and coagulation equations, §3.4 (standard reference, not scraped)
- Philippe Laurençot and Stéphane Mischler, From the discrete to the continuous coagulation-fragmentation equations, §§2–4 (standard reference, not scraped)