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

By Peter A. Markowich

This ebook provides chosen subject matters in technological know-how and engineering from an applied-mathematics viewpoint. The defined traditional, socioeconomic, and engineering phenomena are modeled through partial differential equations that relate nation variables resembling mass, pace, and effort to their spatial and temporal adaptations. commonly, those equations are hugely nonlinear; in lots of circumstances they're platforms, and so they characterize demanding situations even for the main sleek and complicated mathematical and numerical-analytic innovations. the chosen issues mirror the longtime clinical pursuits of the writer. They comprise flows of fluids and gases, granular-material flows, organic strategies akin to development formation on animal skins, kinetics of rarified gases, loose limitations, semiconductor units, and socioeconomic procedures. every one subject is in short brought in its clinical or engineering context, via a presentation of the mathematical types within the type of partial differential equations with a dialogue in their easy mathematical houses. the writer illustrates each one bankruptcy by means of a chain of his personal top quality images, which exhibit that partial differential equations are strong instruments for modeling a wide number of phenomena influencing our day-by-day lives.

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In Mexico 5 million tons of corn are handled each year, 30% of which is lost due to poor handling systems. Even small increases in efficiency can make a significant economic impact. So far, there still is a poor understanding of how to model granular materials mathematically. Most of the knowledge is empirical and no general approach for analyzing these flows exists. 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.

The velocities (v∗∗ , w∗∗ ) are the pre collisional velocities of the so-called inverse collision, which results from (v, w) as post collisional velocities. The factor χ in the gain term stems from the Jacobian of the transformation dv∗∗ dw∗∗ into dvdw and from the lengths of the collisional cylinders e|q∗∗ · n||q · n|. For a constant restitution coefficient, χ = e−2 . 3 Granular Material Flows 42 Fig. 3. Barchan Dune in Sossus Vlei, Namibia Due to dissipation, a granular gas cools down. One of the main problems is to describe this cooling in the hydrodynamic setting, by scaling limits from the granular Enskog–Boltzmann equation.

Three-dimensional) acting on the fluid and ν > 0 the kinematic viscosity parameter. The functions u and p are the solutions of the PDE system, the fluid density is assumed to be constant (say, 1) here as consistent with the incompressibility assumption. The nonlinear Navier–Stokes system has to be supplemented by an initial condition for the velocity field and by boundary conditions if spatially confined fluid flows are considered (or by decay conditions on whole space). A typical boundary condition is the so-called no-slip condition which reads u=0 on the boundary of the fluid domain.

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