Parabolic Equations in Biology Parabolic Equations in Biology
Lecture Notes on Mathematical Modelling in the Life Sciences

Parabolic Equations in Biology

Growth, reaction, movement and diffusion

    • 32,99 €
    • 32,99 €

Publisher Description

This book presents several fundamental questions in mathematical biology such as Turing instability, pattern formation, reaction-diffusion systems, invasion waves and Fokker-Planck equations. These are classical modeling tools for mathematical biology with applications to ecology and population dynamics, the neurosciences, enzymatic reactions, chemotaxis, invasion waves etc. The book presents these aspects from a mathematical perspective, with the aim of identifying those qualitative properties of the models that are relevant for biological applications. To do so, it uncovers the mechanisms at work behind Turing instability, pattern formation and invasion waves. This involves several mathematical tools, such as stability and instability analysis, blow-up in finite time, asymptotic methods and relative entropy properties. Given the content presented, the book is well suited as a textbook for master-level coursework.

GENRE
Science & Nature
RELEASED
2015
9 September
LANGUAGE
EN
English
LENGTH
211
Pages
PUBLISHER
Springer International Publishing
SIZE
4.5
MB

More Books by Benoît Perthame

The Mathematics of Mechanobiology The Mathematics of Mechanobiology
2020
Transport Equations in Biology Transport Equations in Biology
2006

Other Books in This Series

Meta-Ecosystem Dynamics Meta-Ecosystem Dynamics
2021
Transmission Dynamics of Tick-Borne Diseases with Co-Feeding, Developmental and Behavioural Diapause Transmission Dynamics of Tick-Borne Diseases with Co-Feeding, Developmental and Behavioural Diapause
2020
Topics in Mathematical Biology Topics in Mathematical Biology
2017
The Basic Approach to Age-Structured Population Dynamics The Basic Approach to Age-Structured Population Dynamics
2017
Mathematical Methods for Cancer Evolution Mathematical Methods for Cancer Evolution
2017
Simple Mathematical Models of Gene Regulatory Dynamics Simple Mathematical Models of Gene Regulatory Dynamics
2016