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Kolmogorov's differential equations and positive semigroups on first moment sequence spaces
Maia Martcheva1, Horst R Thieme, Thanate Dhirasakdanon
1Department of Mathematics, University of Florida, 358 Little Hall, PO Box 118105, Gainesville, FL 32611-8105, USA. maia@math.ufl.edu
This study develops mathematical theory for infinite systems of ordinary differential equations, crucial for population dynamics models. It establishes conditions for these systems to form C0-semigroups, enabling analysis of population growth and behavior.
Area of Science:
- Mathematical Biology
- Dynamical Systems Theory
- Stochastic Processes
Background:
- Infinite systems of ordinary differential equations arise in complex population models, including metapopulation dynamics and host-parasite interactions.
- Existing theories often lack the generality to encompass these specific, structured models.
Purpose of the Study:
- To lay the linear foundations for a general theory applicable to infinite systems of ordinary differential equations.
- To derive conditions under which solutions to Kolmogorov's differential equations induce a C0-semigroup on a sequence space.
- To analyze the growth bounds and asymptotic behavior of these systems.
Main Methods:
- Focus on linear foundations of infinite systems of ordinary differential equations.
- Derivation of conditions for C0-semigroup generation on sequence spaces.
- Estimation of growth and essential growth bounds.
- Analysis of asymptotic behavior.
Main Results:
- Established conditions for solutions of infinite linear systems (Kolmogorov's equations) to induce a C0-semigroup.
- Derived estimates for growth and essential growth bounds.
- Investigated the asymptotic behavior of the system's solutions.
Conclusions:
- The developed linear theory provides a framework for analyzing infinite-dimensional population dynamics models.
- The results are applicable to continuous-time population growth processes, including birth-death processes with immigration and catastrophes.
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