Regulation of Viable and Optimal Cohorts

Abstract : ​This study deals with the evolution of (scalar) attributes (resources or income in evolutionary demography or economics, position in traffic management, etc.) of a population of ``mobiles'' (economic agents, vehicles, etc.). The set of mobiles sharing the same attributes is regarded as an instantaneous cohort described by the number of its elements. The union of instantaneous cohorts during a mobile window between two attributes is a cohort}. Given a measure defining the number of instantaneous cohorts, the accumulation} of the mobile attributes on a evolving mobile window is the measure of the cohort on this temporal mobile window. Imposing accumulation constraints and departure conditions, this study is devoted to the regulation of the evolutions of the attributes which are viable} in the sense that the accumulations constraints} are satisfied at each instant, and, among them, optimal}, in the sense that both the duration of the temporal mobile window is maximum and that the accumulation on this temporal mobile window is the largest viable one. This value is the ``accumulation valuation'' function. Viable and optimal evolutions under accumulation constraints are regulated by an `implicit Volterra integro-differential inclusion'' built from the accumulation valuation function, solution to an Hamilton-Jacobi-Bellman partial differential equation under constraints which is constructed for this purpose.​
Type de document :
Article dans une revue
Applied Mathematics and Optimization, 2014, pp.24. 〈10.1007/s00245-014-9277-x​ 〉
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Contributeur : Jean-Pierre Aubin <>
Soumis le : dimanche 19 octobre 2014 - 10:09:25
Dernière modification le : lundi 21 mars 2016 - 17:37:35




Jean-Pierre Aubin. Regulation of Viable and Optimal Cohorts. Applied Mathematics and Optimization, 2014, pp.24. 〈10.1007/s00245-014-9277-x​ 〉. 〈hal-01075632〉



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