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450                                                                Chapter 9



        of Yee cells discretization considered below.  FDTD  method  [4]  is the direct solution of
                                            Maxwell’s equations, conceptually simple,  and
                                            probably the  most powerful and versatile
                                            numerical  method. We know (see Table 1.7 in
                                            Chapter 1) that Maxwell’s equations include the
                                            time derivative of B-fields depending on the curl
                                            of E-fields and H-field is proportional to B-field,
                                            D-field depends on the curl of H-fields and E-field
                                            is proportional to D-field, and so on. Figure 9.1.8a
                                            illustrates such sequencing flow of EM field that
                                            is the basis of Yee cells discretization considered
             Figure 9.1.8b Central difference   below.

        The curls, in turn, are a combination of the first order spatial coordinate derivatives. If so, each
        of spatial or time derivatives can be replaced, as a calculus course tells us, with some level
        accuracy by finite (for example, central) differences. Figure 9.1.8b demonstrates the exemplary
        procedure for  1D function.  If the value of  ∆ =  +1  −  −1   is small enough  and the
                                  ′      ∆    2
        function () is smooth, then  ( ) ≅  + (∆ ). Here the numerator ∆ =  +1  −  −1
                                    
                                         ∆
                                             is referred to as a central difference. The “big-
                                             Oh” represents all the terms that are not explicitly
                                             shown and the  value in parentheses,  i.e. ∆ ,
                                                                                  2
                                             indicates the lowest order of ∆ in these hidden
                                             terms.  Since  the  lowest  power  of  ∆  being
                                             ignored is second order, the  presented  central
                                             difference is said to have second-order accuracy
                                             or second-order behavior.  More accurate
                                             approximations can be performed treating the
                                             function y(x) like a polynomial of second, third



           Figure 9.1.9 Sphere discretization in
                 Cartesian coordinates
        or higher order  in the neighborhood  of   .
                                            
        Clearly, the above-mentioned approximation
        can be extended to 3D regions discretized into
        cells of smaller sizes (typically < /10).

        Although theoretically, the cell shape could be
        arbitrary, the preferable coordinate system is
        Cartesian that leads to cubic cells. For example,
        a sphere discretized in this manner looks like
        Figure 9.1.9  pictures. As a result,  the
        computational image does not perfectly imitate
        curved object surface  where the boundary   Figure 9.1.10 Cell touching sphere
        conditions are  commonly  defined. Thereby             surface
        some errors  are unavoidable. Figure  9.1.10
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