2011
DOI: 10.1017/s0308210509001255
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Global strict solutions to continuous coagulation–fragmentation equations with strong fragmentation

Abstract: We give an elementary proof of the unique, global-in-time solvability of the coagulation-(multiple) fragmentation equation with polynomially bounded fragmentation and particle production rates and a bounded coagulation rate. The proof relies on a new result concerning domain invariance for the fragmentation semigroup which is based on a simple monotonicity argument.

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Cited by 24 publications
(21 citation statements)
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References 19 publications
(28 reference statements)
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“…(b) F is a bounded subset of L 1 (Ω) satisfying the following two properties: 5) and, for every ε > 0, there is Ω ε ∈ B such that µ(Ω ε ) < ∞ and…”
Section: 1mentioning
confidence: 99%
“…(b) F is a bounded subset of L 1 (Ω) satisfying the following two properties: 5) and, for every ε > 0, there is Ω ε ∈ B such that µ(Ω ε ) < ∞ and…”
Section: 1mentioning
confidence: 99%
“…In general, due to the effect of gelation, the existence analysis of coagulationfragmentation models follows two main streams. In the first stream, several works have been devoted to the construction of mass-conserving solutions to models whose kernels satisfy 0 U Smo (ω 1 , ω 2 ) 2 + ω 1 + ω 2 with various assumptions on a and b (see [6,7,21,45,8,84] and the references therein). In the second stream, weak solutions which need not satisfy the mass conservation have been constructed (cf.…”
mentioning
confidence: 99%
“…Coagulation-fragmentation equations are mean-field models describing the growth of clusters changing their sizes under the combined effects of (binary) merging and breakup. Denoting the size distribution function of the particles with mass x > 0 at time t > 0 by f = f (t, x) ≥ 0, the coagulation equation with multiple fragmentation reads for (t, x) ∈ (0, ∞) 2 . In (1.1), K denotes the coagulation kernel which is a non-negative and symmetric function K(x, y) = K(y, x) ≥ 0 of (x, y) accounting for the likelihood of two particles with respective masses x and y to merge.…”
Section: Introductionmentioning
confidence: 99%