Journal
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS
Volume 24, Issue 3, Pages 309-321Publisher
WALTER DE GRUYTER GMBH
DOI: 10.1515/jiip-2014-0041
Keywords
Size-structured population model; generalized sensitivity; Smoluchowski coagulation equation
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Funding
- National Science Foundation [DMS-1225878]
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1225878] Funding Source: National Science Foundation
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Size-structured population models provide a popular means to mathematically describe phenomena such as bacterial aggregation, schooling fish, and planetesimal evolution. For parameter estimation, a generalized sensitivity function (GSF) provides a tool that quantifies the impact of data from specific regions of the experimental domain. This function helps to identify the most relevant data subdomains, which enhances the optimization of experimental design. To our knowledge, GSFs have not been used in the partial differential equation (PDE) realm, so we provide a novel PDE extension of the discrete and continuous ordinary differential equation (ODE) concepts of Thomaseth and Cobelli and Banks et al. respectively. We analyze a GSF in the context of size-structured population models, and specifically analyze the Smoluchowski coagulation equation to determine the most relevant time and volume domains for three, distinct aggregation kernels. Finally, we provide evidence that parameter estimation for the Smoluchowski coagulation equation does not require post-gelation data.
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