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4. Sobolev Spaces













                           In order to study the variational formulations of boundary integral equations
                           and their numerical approximations, one needs proper function spaces. The
                           Sobolev spaces provide a very natural setting for variational problems. This
                           chapter contains a brief summary of the basic definitions and results of the
                             2
                           L –theory of Sobolev spaces which will suffice for our purposes. A more gen-
                           eral discussion on these topics may be found in the standard books such as
                           Adams [1], Grisvard [108], Lions and Magenes [190], Maz‘ya [201] and also
                           in McLean [203].



                                                 s
                           4.1 The Spaces H (Ω)
                                         p
                           The Spaces L (Ω)(1 ≤ p ≤∞)
                                             p
                              We denote by L (Ω)for 1 ≤ p< ∞, the space of equivalence classes of
                                                                                n            p
                           Lebesgue measurable functions u on the open subset Ω ⊂ IR such that |u|
                           is integrable on Ω. We recall that two Lebesgue measurable functions u and
                           v on Ω are said to be equivalent if they are equal almost everywhere in Ω,
                           i.e. u(x)= v(x) for all x outside a set of Lebesgue measure zero (Kufner et al
                                           p
                           [173]. The space L (Ω) is a Banach space with the norm

                                                                       1/p

                                                                   p
                                               
u
 L p (Ω) :=  |u(x)| dx  .
                                                           Ω
                           In particular, for p = 2, we have the space of all square integrable functions
                             2
                           L (Ω) which is also a Hilbert space with the inner product

                                                                             2
                                       (u, v) L 2 (Ω) :=  u(x)v(x)dx for all u, v ∈ L (Ω) .
                                                   Ω
                           A Lebesgue measurable function u on Ω is said to be essentially bounded if
                           there exists a constant c ≥ 0 such that |u(x)|≤ c almost everywhere (a.e.)
                           in Ω. We define

                                        ess sup |u(x)| =inf{c ∈ IR ||u(x)|≤ c a.e.in Ω}.
                                           x∈Ω
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