By Peter A. Markowich

ISBN-10: 3540346457

ISBN-13: 9783540346456

This booklet offers chosen themes in technology and engineering from an applied-mathematics perspective. The defined common, socioeconomic, and engineering phenomena are modeled by way of partial differential equations that relate kingdom variables corresponding to mass, pace, and effort to their spatial and temporal adaptations. ordinarily, those equations are hugely nonlinear; in lots of situations they're structures, they usually symbolize demanding situations even for the main smooth and complicated mathematical and numerical-analytic ideas. the chosen issues replicate the longtime medical pursuits of the writer. They contain flows of fluids and gases, granular-material flows, organic approaches comparable to trend formation on animal skins, kinetics of rarified gases, loose obstacles, semiconductor units, and socioeconomic approaches. every one subject is in brief brought in its medical or engineering context, by way of a presentation of the mathematical types within the type of partial differential equations with a dialogue in their easy mathematical homes. the writer illustrates every one bankruptcy by means of a sequence of his personal top of the range photos, which reveal that partial differential equations are robust instruments for modeling a wide number of phenomena influencing our day-by-day lives.

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**Extra info for Applied Partial Differential Equations: A Visual Approach**

**Sample text**

For a comprehensive review of modern results on the compressible Navier– Stokes equations we refer to the text [5]. For the compressible Euler equations, obtained by setting λ = 0 and ν = 0, globally smooth solutions do not exist in general. fr/users/perthame/ 2 The Navier–Stokes and Euler Equations – Fluid and Gas Dynamics 32 case, the so called p-system, without external force: ρt + (ρu)x = 0 (ρu)t + ρu2 + p(ρ) x = 0 This is a nonlinear hyperbolic system, degenerate at the vacuum state ρ = 0.

So what can the mathematical modeling be based upon? Clearly, granular material flows are a special topic in the physics of dissipative systems, consisting of dilute systems of inelastically colliding particles. As common for open systems, granular materials reveal a rich variety of self-organized structures such as large scale clusters, vortex fields, characteristic shock waves and others, which are still far from being completely understood. Most basically, granular flow modeling is often done with molecular dynamics techniques, treating the interactions of individual grains in the material.

166–209, 1997 [4] G. D. Thesis, Universität Stuttgart, Institut für Computeranwendungen, Logos Verlag Berlin, 2001 [5] G. Toscani, Hydrodynamics from the dissipative Boltzmann equation, in Mathematical models of granular matter, Lecture Notes in Mathematics, Springer, G. Capriz, P. M. Mariano Edts, (in press) (2006)7 [6] C. Villani, Mathematics of Granular Materials, to appear in J. Stat. pdf 55 4. Chemotactic Cell Motion and Biological Pattern Formation Peter A. Markowich and Dietmar Ölz1 One of the most important principles governing the movement of biological cells is represented by chemotaxis, which refers to cell motion in direction of the gradient of a chemical substance.

### Applied Partial Differential Equations: A Visual Approach by Peter A. Markowich

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