Stochastic population models, spring 2011
Stochastic population models, spring 2011
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Summary
This is a course about population models that cannot be properly described or analysed in a purely deterministic way because of the presence of noise. This noise may be exogenous, i.e., due to autonomous processes external to the population itself but nevertheless affecting it by causing population parameters to fluctuate in time. The noise may also be endogenous, i.e., due to stochastic demographic fluctuations in the number of births and deaths within any given time interval.
The course addresses the following issues:
Basic notions in model formulation and analysis: the principle of mass-action; growth and development; equilibria and local stability; elements of the theory of Poincare and Bendixon.
The population as a filter of externally generated noise: ordinary differential equations and delay-differential equations; impulse response; frequency response; transfer function; filter characteristics of the population model.
The population as the source of noise: single-type and multi-type birth-death processes; demographic noise; stochastic processes and ergodicity; the Fokker-Planck equation; stochastic differential equations; autocorrelation function and spectral density.
Lecturer
Scope
10 cu.
Type
Advanced studies / Applied mathematics / Biomathematics
Prerequisites
Some acquaintance with differential equations would be handy.
Lectures
Weeks 3-9 and 11-18, Tuesday 10-12 in room B321, Thursday 14-16 C124.
Easter holiday
Lecture notes
PART I: "The population as a filter of external noise"
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PART II: "The population as a generator of internally produced noise"
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10.
APPENDICES
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A2.
A3.
A4.
EXERCISES
Part I:
Part II:
Exams
Bibliography
Registration
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Exercise groups
Group | Day | Time | Place | Instructor |
---|---|---|---|---|
1. | Friday | 14-16 | B321 | Ilmari Karonen |