Page 285 - Process Modelling and Simulation With Finite Element Methods
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272        Process Modelling and Simulation with Finite Element Methods

          Fredholm integral equations of the second kind:
                                           h
                                                                      (7.17)
                                           a
          Volterra integral equations of the first kind:


                                                                      (7.18)
                                       a
          Volterra integral equations of the second kind:


                                                                      (7.19)
                                           a
          In all four cases, g is the unknown function.  K(x,t), called the kernel, and f(x) are
          assumed to be known.  When f(x)=O, the equation is said to be homogeneous.
             One  might  reasonably  ask  why  we  bother  with  integral  equations.   The
          answer  is  the  theme  of  this  chapter  - integral  equations  are  fundamentally
          nonlocal.  Some physical  phenomena  are  inherently  nonlocal  in  character,  so
          their description leads to integral or integro-differential equations.  For instance,
          Shaqfeh  [ 181 derived  a  theory  for  transport properties  of  composite materials
          that  naturally  leads  to  a  nonlocal  description  of  effective  properties.  Many
          systems are “elliptical”  in nature  - the boundary data diffuses everywhere, say
          steady  state heat  transfer  or mass  transfer  - which  results  in the  solution at  a
          point  depending  on  the  solution  everywhere.  Such nonlocal  systems  can  be
          conveniently described in  terms of  a Green’s function, which  then leads  to  an
          integral  equation  description  for  inhomogeneous  systems.   Finally,  some
          processes  are conveniently  described in a phase space  (Fourier space, Laplace
          space, size, volume or mass distribution) that involve nonlinear coupling of the
          variables in phase space.  When described in physical  space, these phase space
          couplings  manifest  as  convolution  integrals  which  are  both  nonlocal  and
          nonlinear.  Rarely, transform methods, for instance the Abel transform, through a
          clever change of  variables, permits the restatement  of an integral equation as an
          equivalent differential equation, at least  for  smooth functions.  Howison  et al.
          [19] give  an  example that  was  cited  with  regard  to  film  drying  in Chapter  6.
          Otherwise,  either  discretization  or  power  series  expansion  are  the  preferred
          analysis techniques.
             It is not the intention of  this chapter to teach integral equation theory.  An
          introduction  worth  reading  is  given  in  Arfken’s  book  [20]  and  a  thorough
          grounding can be found in Stakgold [211 or Lovitt [22]. Here we intend only to
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