Reduced limit approach to semilinear partial differential equations (PDEs) involving the fractional Laplacian with measure data
Reduced limit approach to semilinear partial differential equations (PDEs) involving the fractional Laplacian with measure data
We study the following partial differential equation (PDE) (−∆)s u + g(x, u) = µ in Ω, u = 0 in R N Ω, (0.1) where (−∆)s is the fractional Laplacian operator, Ω is a bounded domain in R N with ∂Ω being the boundary of Ω, g(., .) is a nonlinear function defined over Ω × R. Let (µn)n be a sequence of measure in Ω. Assume that there exists a solution un with data µn , i.e. un satisfies the equation (0.1) with µ = µn . We further assume that the sequence of measures weakly converges to µ, while (un)n converges to u in L 1 (Ω). In general, u is not a solution to the partial differential equation in (0.1) with datum (µ, 0). However, there exists a measure µ # such that u is a solution of the partial differential equation with this data. µ # is called the reduced limit of the sequence (µn)n . We investigate the relation between weak limit µ and the reduced limit µ # and the dependence of µ # to the sequence (µn)n . A closely related problem was studied by Bhakta and Marcus [3] and then by Giri and Choudhuri [15] but for the case of a Laplacian and a general second order linear elliptic differential operator, respectively instead of a fractional Laplacian.
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