On mathematical theory of selection: Continuous time population dynamics

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

29 pages; published in J. of Mathematical Biology

Scientific paper

Mathematical theory of selection is developed within the frameworks of general models of inhomogeneous populations with continuous time. Methods that allow us to study the distribution dynamics under natural selection and to construct explicit solutions of the models are developed. All statistical characteristics of interest, such as the mean values of the fitness or any trait can be computed effectively, and the results depend in a crucial way on the initial distribution. The developed theory provides an effective method for solving selection systems; it reduces the initial complex model to a special system of ordinary differential equations (the escort system). Applications of the method to the Price equations are given; the solutions of some particular inhomogeneous Malthusian, Ricker and logistic-like models used but not solved in the literature are derived in explicit form.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On mathematical theory of selection: Continuous time population dynamics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On mathematical theory of selection: Continuous time population dynamics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On mathematical theory of selection: Continuous time population dynamics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-604874

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.