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A lot of economic problems can formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.
These are" notes based on courses in Theoretical Population
Genetics given at the University of Texas at Houston during the
winter quarter, 1974, and at the University of Wisconsin during the
fall semester, 1976. These notes explore problems of population
genetics and evolution involving stochastic processes. Biological
models and various mathematical techniques are discussed. Special
emphasis is given to the diffusion method and an attempt is made to
emphasize the underlying unity of various problems based on the
Kolmogorov backward equation. A particular effort was made to make
the subject accessible to biology students who are not familiar
with stochastic processes. The references are not exhaustive but
were chosen to provide a starting point for the reader interested
in pursuing the subject further. Acknowledgement I would like to
use this opportunity to express my thanks to Drs. J. F. Crow, M.
Nei and W. J. Schull for their hospitality during my stays at their
universities. I am indebted to Dr. M. Kimura for his continuous
encouragement. My thanks also go to the small but resolute groups
of.students, visitors and colleagues whose enthusiasm was a great
source of encouragement. I am especially obliged to Dr. Martin
Curie-Cohen and Dr. Crow for reading a large part eX the manuscript
and making many valuable comments. Special gratitude is expressed
to Miss Sumiko Imamiya for her patience and endurance and for her
efficient preparation of the manuscript.
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