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324    7. Discretization of Parabolic Problems


                                                       ∗
        The collection of conditions (1.32), (1), (2), (3) i), (4) is called (IM).
        (IM) implies the inverse monotonicity of A h (Theorem 1.12, (1.39)).
        The collection of conditions (IM), (5) is called (CP).
        (CP) implies a comparison principle in the sense of Corollary 1.13.
                                                        ∗
                                         ∗
        The collection of conditions (CP),(6) is called (MP) .
             ∗
        (MP) implies a maximum principle in the form of Theorem 1.10 (1.38).
        Alternatively, the collection of conditions (CP) (6) #  (see Exercise 1.13) is
        called (MP).
        (MP) implies a maximum principle in the form of Theorem 1.9 (1.34).
        Finally, the collection of conditions (CP), (6), (4) (instead of (4) ), (7) is
                                                                 ∗
        called (SMP).
        (SMP) implies a strong maximum principle in the sense of Theorem 1.9.
          An L -stability estimate in the sense of Theorem 1.14 is closely related.
               ∞
        This will be taken up in the next section.
          In the following we will discuss the above-mentioned properties for the
        one-step-theta method, cast into the form (1.31), on the basis of correspond-
        ing properties of the underlying elliptic problem and its discretization. It
        will turn out that under a reasonable condition (see (7.100)), condition (4) ∗
        (and thus (3) ii)) will not be necessary for the elliptic problem. This reflects
        the fact that contrary to the elliptic problem, for the parabolic problem also
        the case of a pure Neumann boundary condition (where no degrees of free-
        dom are given and thus eliminated) is allowed, since the initial condition
        acts as a Dirichlet boundary condition.
          In assuming that the discretization of the underlying elliptic problem is
        of the form (1.31), we return to the notation M = M 1 + M 2 ,where M 2 is
        the number of degrees of freedom eliminated, and thus A h ,B h ∈ R M 1 ,M 1 .
          We write the discrete problem according to (7.66) as one large system of
        equations for the unknown



                                          1  
                                         u
                                           h
                                        u 2 
                                          h 
                                          .   ,                    (7.96)
                                 u h =   .
                                         .  
                                         u N
                                          h
        in which the vector of grid values u ∈ R M 1  are collected to one large
                                         i
                                         h
        vector of dimension M 1 := N · M 1. Thus the grid points in Ω × (0,T )are
        the points (x j ,t n ),n =1,... ,N, x j ∈ Ω h , e.g., for the finite difference
        method. The defining system of equations has the form



                                   C h u h = p ,                    (7.97)
                                            h
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