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Presentation of the content of the monograph                        9

                    0
                                                                                  Ω
                of F (x)=0 in the finite dimensional case, that should satisfy any u ∈ C 2  ¡ ¢
                minimizer of (P), namely (we write here the equation in the case N =1)
                                  n
                                 X   ∂ £           ¤
                           (E)          f ξ i  (x, u, ∇u) = f u (x, u, ∇u) , ∀x ∈ Ω
                                    ∂x i
                                 i=1
                        = ∂f/∂ξ and f u = ∂f/∂u.
                where f ξ i     i
                   In thecaseofthe Dirichletintegral
                                   ½         Z                          ¾
                                            1          2
                           (P)  inf I (u)=      |∇u (x)| dx : u = u 0 on ∂Ω
                                            2
                                              Ω
                the Euler-Lagrange equation reduces to Laplace equation,namely ∆u =0.
                                                             2
                   We immediately note that, in general, finding a C solution of (E) is a difficult
                task, unless, perhaps, n =1 or the equation (E) is linear. The next step is to
                know if a solution u of (E), called sometimes a stationary point of I,is,in fact,
                a minimizer of (P). If (u, ξ) → f (x, u, ξ) is convex for every x ∈ Ω then u is
                indeed a minimum of (P); in the above examples this happens for the Dirichlet
                integral or the problem of minimal surfaces in nonparametric form. If, however,
                (u, ξ) → f (x, u, ξ) is not convex, several criteria, specially in the case n =1,
                can be used to determine the nature of the stationary point. Such criteria are
                for example, Legendre, Weierstrass, Weierstrass-Erdmann, Jacobi conditions or
                the fields theories.
                   In Chapters 3and 4wewill presentthe direct methods introduced by Hilbert,
                Lebesgue and Tonelli. The idea is to break the problem into two pieces: existence
                of minimizers in Sobolev spaces and then regularity of the solution. We will start
                by establishing, in Chapter 3, the existence of minimizers of (P) in Sobolev spaces
                W 1,p  (Ω). In Chapter 4 we will see that, sometimes, minimizers of (P) are more
                                                        1
                regularthaninaSobolevspace they arein C or even in C ,ifthe data Ω, f
                                                                    ∞
                and u 0 are sufficiently regular.
                   We now briefly describe the ideas behind the proof of existence of minimizers
                in Sobolev spaces. As for the finite dimensional case we start by considering a
                minimizing sequence {u ν } ⊂ W 1,p  (Ω), which means that
                              ©                            1,p   ª
                    I (u ν ) → inf I (u): u = u 0 on ∂Ω and u ∈ W  (Ω) = m,as ν →∞.
                The first step consists in showing that the sequence is compact, i.e., that the
                sequence converges to an element u ∈ W 1,p  (Ω). This, of course, depends on
                the topology that we have on W 1,p . The natural one is the one induced by the
                norm, that we call strong convergence and that we denote by

                                           u ν → u in W 1,p .
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