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Finite difference equation homogeneous

In solving ODE, we assumed the existence of solutions of the form y = A exp(/%) where r is the characteristic root, obtainable from the characteristic equation. In a similar manner, we assume that linear, homogeneous finite difference equations have solutions of the form, for example, in the previous extraction problem... [Pg.167]

By virtue of the fact that the finite difference equation and the governing equation have homogeneous boundary conditions, assume that the error will take the form... [Pg.625]

This is a nonhomogeneous finite difference equation in two dimensions, representing the propagation of error during the numerical solution of the parabolic partial differential equation (6.18). The solution of this finite difference equation is rather difficult to obtain. For this reason, the von Neumann analysis considers the homogeneous part of Eq. (6.126) ... [Pg.432]

The solution of the homogeneous finite difference equation may be written in the separable form... [Pg.432]

To analyze this phenomenon further, 2D numerical simulations of (49) and (50) were performed using a central finite difference approximation of the spatial derivatives and a fourth order Runge-Kutta integration of the resulting ordinary differential equations in time. Details of the simulation technique can be found in [114, 119]. The material parameters of the polymer blend PDMS/PEMS were used and the spatial scale = (K/ b )ll2 and time scale r = 2/D were established from the experimental measurements of the structure factor evolution under a homogeneous temperature quench. [Pg.177]

In this chapter semianalytical solutions (solutions analytical in t and numerical in x) were obtained for parabolic PDEs. In section 5.1.2, the given homogeneous parabolic PDE was converted to matrix form by applying finite differences in the spatial direction. The resulting matrix differential equation was then integrated analytically in time using Maple s matrix exponential. This methodology helps us solve the dependent variables at different node points as an analytical function of time. This is a powerful technique and is valid for all linear parabolic PDEs. This... [Pg.451]

The above equation is derived from the electroneutrahty law for homogeneous environments and is the governing equation to be solved for determining the potential distribution. To solve this equation, appropriate boundary conditions need to be specified. Finite element methods divide the three-dimensional electrolyte volume into a network of finite nodes whose electrical properties are connected to one another by linear equations. Finite element methods yield potential and current distributions within the electrolyte volume. Incorporation of polarization at the anode and cathode surfiices is difficult at volume boundaries. BEM has shown considerable promise in treating this problem. The electrode surface is divided into discrete boundary elements that are solved numerically. Unhke the finite difference methods, in the BEM only the electrode surfaces are divided into discrete elements and not the entire volume, leading to decreased computation power. [Pg.631]

Chapter 5 Staged-Process Models The Calculus of Finite Differences homogeneous equation are... [Pg.176]

Bieniasz LK (1993) Use of dynamically adaptive grid techniques for the solution of electrochemical kinetic equations. Part 1. Introductory exploration of the finite-difference adaptive moving grid solution of the one-dimensional fast homogeneous reaction-diffusion problem with a reaction layer. J Electroanal Chem 360 119-138... [Pg.60]

Consider steady-state liquid flow in a homogeneous isotropic medium satisfying -l- -l- = 0. Finite difference this equation... [Pg.158]

The simplest way to treat an interface is to consider it as a phase with a very small but finite thickness in contact with two homogeneous phases (see Fig. 16.1). The thickness must be so large that it comprises the region where the concentrations of the species differ from their bulk values. It turns out that it does not matter, if a somewhat larger thickness is chosen. For simplicity we assume that the surfaces of the interface are flat. Equation (16.1) is for a bulk phase and does not contain the contribution of the surfaces to the internal energy. To apply it to an interface we must add an extra term. In the case of a liquid-liquid interface (such as that between mercury and an aqueous solution), this is given by 7 cL4, where 7 is the interfacial tension - an easily measurable quantity - and A the surface area. The fundamental equation (16.1) then takes on the form ... [Pg.217]

We recall that our wave equation represents a long wave approximation to the behavior of a structured media (atomic lattice, periodically layered composite, bar of finite thickness), and does not contain information about the processes at small scales which are effectively homogenized out. When the model at the microlevel is nonlinear, one expects essential interaction between different scales which in turn complicates any universal homogenization procedure. In this case, the macro model is often formulated on the basis of some phenomenological constitutive hypotheses nonlinear elasticity with nonconvex energy is a theory of this type. [Pg.185]


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