Limiting absorption principle and well-posedness for the Helmholtz equation with sign changing coefficients

By Hoai-Minh Nguyen. 2015

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In this paper, we investigate the limiting absorption principle associated to and the well-posedness of the Helmholtz equations with sign changing coefficients which are used to model negative index materials. Using the reflecting technique introduced in [26], we first derive Cauchy problems from these equations. The limiting absorption principle and the well-posedness are then obtained via various a priori estimates for these Cauchy problems. Three approaches are proposed to obtain the a priori estimates. The first one follows from a priori estimates of elliptic systems equipped with complementing boundary conditions due to Agmon, Douglis, and Nirenberg in their classic work [1]. The second approach, which complements the first one, is variational and based on the Dirichlet principle. The last approach, which complements the second one, is also variational and uses the multiplier technique. Using these approaches, we are able to obtain new results on the well-posedness of these equations for which the conditions on the coefficients are imposed “partially” or “not strictly” on the interfaces of sign changing coefficients. This allows us to rediscover and extend known results obtained by the integral method, the pseudo differential operator theory, and the T-coercivity approach. The unique solution, obtained by the limiting absorption principle, is not in View the MathML sourceHloc1(Rd) as usual and possibly not even in View the MathML sourceLloc2(Rd). The optimality of our results is also discussed.

Subfields: Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/47e6f828249397a6d1f5f3f4392ddb8576033e2d

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In Computational Theory and Mathematics

  1. Hai Zhang
  2. Pierre Millien
  3. Matias Ruiz
  4. Habib M. Ammari

In Mathematical Physics

  1. Hai Zhang
  2. Pierre Millien
  3. Matias Ruiz
  4. Habib M. Ammari

In Numerical Analysis

  1. Hai Zhang
  2. Pierre Millien
  3. Matias Ruiz
  4. Habib M. Ammari

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