Dynamics of the Chemostat

Dynamics of the Chemostat
Author: Abdelhamid Ajbar
Publisher: CRC Press
Total Pages: 370
Release: 2011-08-09
Genre: Mathematics
ISBN: 1439867143

A ubiquitous tool in mathematical biology and chemical engineering, the chemostat often produces instabilities that pose safety hazards and adversely affect the optimization of bioreactive systems. Singularity theory and bifurcation diagrams together offer a useful framework for addressing these issues. Based on the authors’ extensive work in this field, Dynamics of the Chemostat: A Bifurcation Theory Approach explores the use of bifurcation theory to analyze the static and dynamic behavior of the chemostat. Introduction The authors first survey the major work that has been carried out on the stability of continuous bioreactors. They next present the modeling approaches used for bioreactive systems, the different kinetic expressions for growth rates, and tools, such as multiplicity, bifurcation, and singularity theory, for analyzing nonlinear systems. Application The text moves on to the static and dynamic behavior of the basic unstructured model of the chemostat for constant and variable yield coefficients as well as in the presence of wall attachment. It then covers the dynamics of interacting species, including pure and simple microbial competition, biodegradation of mixed substrates, dynamics of plasmid-bearing and plasmid-free recombinant cultures, and dynamics of predator–prey interactions. The authors also examine dynamics of the chemostat with product formation for various growth models, provide examples of bifurcation theory for studying the operability and dynamics of continuous bioreactor models, and apply elementary concepts of bifurcation theory to analyze the dynamics of a periodically forced bioreactor. Using singularity theory and bifurcation techniques, this book presents a cohesive mathematical framework for analyzing and modeling the macro- and microscopic interactions occurring in chemostats. The text includes models that describe the intracellular and operating elements of the bioreactive system. It also explains the mathematical theory behind the models.

The Theory of the Chemostat

The Theory of the Chemostat
Author: Hal L. Smith
Publisher: Cambridge University Press
Total Pages: 334
Release: 1995-01-27
Genre: Mathematics
ISBN: 9780521470278

Basic modelling, analysis and simulation of systems that have proven effective in real ecological applications.

The Chemostat

The Chemostat
Author: Jérôme Harmand
Publisher: John Wiley & Sons
Total Pages: 246
Release: 2017-07-19
Genre: Science
ISBN: 1119437121

Invented by J. Monod, and independently by A. Novick and L. Szilard, in 1950, the chemostat is both a micro-organism culturing device and an abstracted ecosystem managed by a controlled nutrient flow. This book studies mathematical models of single species growth as well as competition models of multiple species by integrating recent work in theoretical ecology and population dynamics. Through a modeling approach, the hypotheses and conclusions drawn from the main mathematical results are analyzed and interpreted from a critical perspective. A large emphasis is placed on numerical simulations of which prudent use is advocated. The Chemostat is aimed at readers possessing degree-level mathematical knowledge and includes a detailed appendix of differential equations relating to specific notions and results used throughout this book.

Differential Equations and Control Theory

Differential Equations and Control Theory
Author: Z. Deng
Publisher: CRC Press
Total Pages: 543
Release: 2020-11-25
Genre: Mathematics
ISBN: 1000105326

This work presents the proceedings from the International Conference on Differential Equations and Control Theory, held recently in Wuhan, China. It provides an overview of current developments in a range of topics including dynamical systems, optimal control theory, stochastic control, chaos, fractals, wavelets and ordinary, partial, functional and stochastic differential equations.

Dynamic Models and Control of Biological Systems

Dynamic Models and Control of Biological Systems
Author: Vadrevu Sree Hari Rao
Publisher: Springer Science & Business Media
Total Pages: 279
Release: 2009-07-30
Genre: Science
ISBN: 1441903593

Mathematical Biology has grown at an astonishing rate and has established itself as a distinct discipline. Mathematical modeling is now being applied in every major discipline in the biological sciences. Though the field has become increasingly large and specialized, this book remains important as a text that introduces some of the exciting problems which arise in the biological sciences and gives some indication of the wide spectrum of questions that modeling can address.

Plankton Regulation Dynamics

Plankton Regulation Dynamics
Author: Norbert Walz
Publisher: Springer Science & Business Media
Total Pages: 310
Release: 2012-12-06
Genre: Science
ISBN: 3642778046

Continuous cultures, i.e. chemostats with an continuous dilution rate, are model ecosystems for the study of general regulation principles in plankton communities. Further to an introduction, general continuous culture methods and especially the characteristics of rotifer continuousculture systems are presented. Sections on metabolism and energetics in chemostats, growth models, competition and predator-prey interactions, as well as the application of rotifer continuous cultures to ecotoxicology and their use in aquaculture are included.

Adaptive Diversification

Adaptive Diversification
Author: Michael Doebeli
Publisher: Princeton University Press
Total Pages: 346
Release: 2011-08-01
Genre: Science
ISBN: 1400838932

Understanding the mechanisms driving biological diversity remains a central problem in ecology and evolutionary biology. Traditional explanations assume that differences in selection pressures lead to different adaptations in geographically separated locations. This book takes a different approach and explores adaptive diversification--diversification rooted in ecological interactions and frequency-dependent selection. In any ecosystem, birth and death rates of individuals are affected by interactions with other individuals. What is an advantageous phenotype therefore depends on the phenotype of other individuals, and it may often be best to be ecologically different from the majority phenotype. Such rare-type advantage is a hallmark of frequency-dependent selection and opens the scope for processes of diversification that require ecological contact rather than geographical isolation. Michael Doebeli investigates adaptive diversification using the mathematical framework of adaptive dynamics. Evolutionary branching is a paradigmatic feature of adaptive dynamics that serves as a basic metaphor for adaptive diversification, and Doebeli explores the scope of evolutionary branching in many different ecological scenarios, including models of coevolution, cooperation, and cultural evolution. He also uses alternative modeling approaches. Stochastic, individual-based models are particularly useful for studying adaptive speciation in sexual populations, and partial differential equation models confirm the pervasiveness of adaptive diversification. Showing that frequency-dependent interactions are an important driver of biological diversity, Adaptive Diversification provides a comprehensive theoretical treatment of adaptive diversification.

Dynamic Energy Budget Theory for Metabolic Organisation

Dynamic Energy Budget Theory for Metabolic Organisation
Author: S. A. L. M. Kooijman
Publisher: Cambridge University Press
Total Pages: 533
Release: 2010
Genre: Mathematics
ISBN: 052113191X

The Dynamic Energy Budget theory unifies the commonalities between organisms and links different levels of biological organisation.

Mathematics for Ecology and Environmental Sciences

Mathematics for Ecology and Environmental Sciences
Author: Yasuhiro Takeuchi
Publisher: Springer Science & Business Media
Total Pages: 189
Release: 2007-01-19
Genre: Mathematics
ISBN: 3540344284

This volume discusses the rich and interesting properties of dynamical systems that appear in ecology and environmental sciences. It provides a fascinating survey of the theory of dynamical systems in ecology and environmental science. Each chapter introduces students and scholars to the state-of-the-art in an exciting area, presents new results, and inspires future contributions to mathematical modeling in ecology and environmental sciences.

Dynamical Systems in Population Biology

Dynamical Systems in Population Biology
Author: Xiao-Qiang Zhao
Publisher: Springer Science & Business Media
Total Pages: 285
Release: 2013-06-05
Genre: Mathematics
ISBN: 0387217614

Population dynamics is an important subject in mathematical biology. A cen tral problem is to study the long-term behavior of modeling systems. Most of these systems are governed by various evolutionary equations such as difference, ordinary, functional, and partial differential equations (see, e. g. , [165, 142, 218, 119, 55]). As we know, interactive populations often live in a fluctuating environment. For example, physical environmental conditions such as temperature and humidity and the availability of food, water, and other resources usually vary in time with seasonal or daily variations. Therefore, more realistic models should be nonautonomous systems. In particular, if the data in a model are periodic functions of time with commensurate period, a periodic system arises; if these periodic functions have different (minimal) periods, we get an almost periodic system. The existing reference books, from the dynamical systems point of view, mainly focus on autonomous biological systems. The book of Hess [106J is an excellent reference for periodic parabolic boundary value problems with applications to population dynamics. Since the publication of this book there have been extensive investigations on periodic, asymptotically periodic, almost periodic, and even general nonautonomous biological systems, which in turn have motivated further development of the theory of dynamical systems. In order to explain the dynamical systems approach to periodic population problems, let us consider, as an illustration, two species periodic competitive systems dUI dt = !I(t,Ul,U2), (0.