An Introduction to the Finite Element Method for Differential Equations. Mohammad Asadzadeh

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1.6Consider the equation . Write the equation in the coordinates .Find the general solution of the equation.Consider the equation . Write it in the coordinates and .

      7 Problem 1.7Show that for satisfiesFind a linear combination of s that satisfies .Solve the Dirichlet problem

1.5 Some Equations of Mathematical Physics

      Throughout the book, we focus on the study of some of the basic PDEs of mathematical physics. These equations involve differential operators as the gradient and Laplacian, acting on :

      (1.5.1)

These equations describe fundamental physical phenomena as follows:

(1.5.2)

      Here is a given function. In the special case, when , i.e. when Eq. (1.5.2) are homogeneous, the first equation is called the Laplace equation and, being time‐independent, has some special features: besides the fact that it describes the steady‐state heat transfer and the standing wave equations (loosely speaking, the time‐independent versions of the other two equations), the Laplace equation arises in describing several physical phenomena such as electrostatic potential in regions with no electric charge, gravitational potential in the regions with no mass distribution, in elasticity, etc.

      1.5.1 The Poisson Equation

      The Poisson equation is a BVP of the form

      (1.5.3)

      Below are some common phenomena modeled by the Poisson's equation.

       Electrostatics: To describe the components of the Maxwell's equations, associating the electric‐ and potential fields and to the charge density , roughly speaking, we haveand with a Dirichlet boundary condition on .

       Fluid mechanics: The velocity field of a rotation‐free fluid flow satisfies and hence, is a, so‐called, gradient field: , with being a scalar potential field. The rotation‐free incompressible fluid flow satisfies , which yields the Laplace's equation for its potential. At a solid boundary, this problem will be associated with homogeneous Neumann boundary condition, due to the fact that in such a boundary, the normal velocity is zero.

       Statistical physics: The random motion of particles inside a container until they hit the boundary is described by the probability of a particle starting at the point winding up to stop at some point on , where means that it is certain and means that it never happens. It turns out that solves the Laplace's equation , with discontinuity at the boundary: on and on where . Poisson's equation is of vital importance in describing, the coupling of nonlinearity aspects, in the system of gas kinetic/dynamic equations.

      1.5.2 The Heat Equation

      1.5.2.1 A Model Problem for the Stationary Heat Equation in

Below we model the heat conduction in a thin heat‐conducting wire stretched between the two endpoints of an interval that is subject to a heat source of intensity , as in Figure 1.3. We are interested in the stationary distribution of temperature in the wire.

Figure 1.3 A heat‐conducting one‐dimensional wire.

To this end, let denote the heat flux in the direction of the positive ‐axis in the wire . Conservation of energy in the stationary case requires that the net heat through the endpoints of an arbitrary subinterval of is equal to the heat produced in per unit time:

      By the Fundamental Theorem of Calculus,

      Hence, we conclude that

      Since and are arbitrary, assuming that the integrands are continuous, yields

(1.5.4)

      which expresses conservation of energy in differential equation form. We need an additional equation that relates the heat flux to the temperature gradient called a constitutive equation. The simplest constitutive equation for heat flow is Fourier's law:

(1.5.5)

which states that heat flows from warm regions to cold regions at a rate proportional to the temperature gradient . The constant of proportionality is the coefficient of heat conductivity , which we assume to be a positive function in . Combining (1.5.4) and (1.5.5) gives the stationary heat equation in one dimension:

      (1.5.6)

      To define a solution Скачать книгу