Overview

This book examines a nonlinear system of parabolic PDEs arising in mathematical biology and statistical mechanics. The work describes the mathematical and physical principles: derivation of a series of equations, biological modeling based on biased random walks, the study of equilibrium states via the variational structure derived from the free energy, and the quantized blowup mechanism based on several PDE techniques.

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Reviews

From the reviews: <p> This book is primarily concerned with systems of partial differential equations of elliptic-parabolic type. Such systems are special cases of systems of pdes that occur naturally in biochemistry, biophysics, molecular biology, and in chemical thermodynamics and statistical mechanicsa in short wherever chemical kinetics and diffusive processes are present in a systema ]. The book itself is well organized and readable although very technical. It is a book about the mathematics of systems and not biology or thermodynamicsa ]. [It] certainly belongs on the bookshelf of specialists in nonlinear pde/math biology. a Bulletin of the AMS <p>a oeThis book is introductory in the sense of being accessible to students not only of mathematics, but also of the physical and the engineering sciences once they have mastered the introductory mathematical courses. a ]Overall, the presentation is quite detailed regarding the needs of the practitioner with many examples to engineering, earth sciences, etc. (among others elasticity, vibrations, heat transfer, fluid flow; also eigenvalue problems), and special but important items not so often covered in other texts, e.g., how to cope with the specific difficulties arising in polar coordinates. Both numerous exercises and codes in Ansys, Fortran, MathematicaA(R) and MATLAB direct the reader towards experimentation of his own.a (Monatshefte fur Mathematik) <p> This book examines a nonlinear system of parabolic partial differential equations (PDEs) arising in mathematical biology and statistical mechanics. a ] Free Energy and Self-Interacting Particles is suitable for researchers and graduate students of mathematics and appliedmathematics who are interested in non-linear PDEs in stochastic processes, cellular automata, variational methods, and their applications to natural sciences. It is also suitable for researchers in other fields such as physics, chemistry, biology, and engineering. (Christopher Mayer, Simulation News Europe, Vol. 16 (1), 2006)

From the reviews: ""This book is primarily concerned with systems of partial differential equations of elliptic-parabolic type. Such systems are special cases of systems of pdes that occur naturally in biochemistry, biophysics, molecular biology, and in chemical thermodynamics and statistical mechanics—in short wherever chemical kinetics and diffusive processes are present in a system…. The book itself is well organized and readable although very technical. It is a book about the mathematics of systems and not biology or thermodynamics…. [It] certainly belongs on the bookshelf of specialists in nonlinear pde/math biology.""  —Bulletin of the AMS “This book is introductory in the sense of being accessible to students not only of mathematics, but also of the physical and the engineering sciences once they have mastered the introductory mathematical courses. …Overall, the presentation is quite detailed regarding the needs of the practitioner with many examples to engineering, earth sciences, etc. (among others elasticity, vibrations, heat transfer, fluid flow; also eigenvalue problems), and special but important items not so often covered in other texts, e.g., how to cope with the specific difficulties arising in polar coordinates. Both numerous exercises and codes in Ansys, Fortran, Mathematica® and MATLAB direct the reader towards experimentation of his own.” (Monatshefte fur Mathematik) ""This book examines a nonlinear system of parabolic partial differential equations (PDEs) arising in mathematical biology and statistical mechanics. … Free Energy and Self-Interacting Particles is suitable for researchers and graduate students of mathematics and applied mathematics who are interested in non-linear PDEs in stochastic processes, cellular automata, variational methods, and their applications to natural sciences. It is also suitable for researchers in other fields such as physics, chemistry, biology, andengineering."" (Christopher Mayer, Simulation News Europe, Vol. 16 (1), 2006)

From the reviews: This book is primarily concerned with systems of partial differential equations of elliptic-parabolic type. Such systems are special cases of systems of pdes that occur naturally in biochemistry, biophysics, molecular biology, and in chemical thermodynamics and statistical mechanics in short wherever chemical kinetics and diffusive processes are present in a system . The book itself is well organized and readable although very technical. It is a book about the mathematics of systems and not biology or thermodynamics . [It] certainly belongs on the bookshelf of specialists in nonlinear pde/math biology. Bulletin of the AMS This book is introductory in the sense of being accessible to students not only of mathematics, but also of the physical and the engineering sciences once they have mastered the introductory mathematical courses. Overall, the presentation is quite detailed regarding the needs of the practitioner with many examples to engineering, earth sciences, etc. (among others elasticity, vibrations, heat transfer, fluid flow; also eigenvalue problems), and special but important items not so often covered in other texts, e.g., how to cope with the specific difficulties arising in polar coordinates. Both numerous exercises and codes in Ansys, Fortran, Mathematica(r) and MATLAB direct the reader towards experimentation of his own. (Monatshefte fur Mathematik) This book examines a nonlinear system of parabolic partial differential equations (PDEs) arising in mathematical biology and statistical mechanics. Free Energy and Self-Interacting Particles is suitable for researchers and graduate students of mathematics and applied mathematics who are interested in non-linear PDEs in stochastic processes, cellular automata, variational methods, and their applications to natural sciences. It is also suitable for researchers in other fields such as physics, chemistry, biology, and engineering. (Christopher Mayer, Simulation News Europe, Vol. 16 (1), 2006)

From the reviews: This book is primarily concerned with systems of partial differential equations of elliptic-parabolic type. Such systems are special cases of systems of pdes that occur naturally in biochemistry, biophysics, molecular biology, and in chemical thermodynamics and statistical mechanics-in short wherever chemical kinetics and diffusive processes are present in a system... The book itself is well organized and readable although very technical. It is a book about the mathematics of systems and not biology or thermodynamics... [It] certainly belongs on the bookshelf of specialists in nonlinear pde/math biology. -Bulletin of the AMS This book is introductory in the sense of being accessible to students not only of mathematics, but also of the physical and the engineering sciences once they have mastered the introductory mathematical courses. ...Overall, the presentation is quite detailed regarding the needs of the practitioner with many examples to engineering, earth sciences, etc. (among others elasticity, vibrations, heat transfer, fluid flow; also eigenvalue problems), and special but important items not so often covered in other texts, e.g., how to cope with the specific difficulties arising in polar coordinates. Both numerous exercises and codes in Ansys, Fortran, Mathematica(R) and MATLAB direct the reader towards experimentation of his own. (Monatshefte fur Mathematik) This book examines a nonlinear system of parabolic partial differential equations (PDEs) arising in mathematical biology and statistical mechanics. ... Free Energy and Self-Interacting Particles is suitable for researchers and graduate students of mathematics and applied mathematics who are interested in non-linear PDEs in stochastic processes, cellular automata, variational methods, and their applications to natural sciences. It is also suitable for researchers in other fields such as physics, chemistry, biology, and engineering. (Christopher Mayer, Simulation News Europe, Vol. 16 (1), 2006)

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