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Inverse Obstacle Scattering with Non-Over-Determined Scattering Data (Synthesis Lectures on Mathematics and Statistics) (Paperback)

Inverse Obstacle Scattering with Non-Over-Determined Scattering Data (Synthesis Lectures on Mathematics and Statistics) Cover Image
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Description


The inverse obstacle scattering problem consists of finding the unknown surface of a body (obstacle) from the scattering (;; ), where (;; ) is the scattering amplitude, $; is the direction of the scattered, incident wave, respectively, is the unit sphere in the ℝ3 and k > 0 is the modulus of the wave vector.

The scattering data is called non-over-determined if its dimensionality is the same as the one of the unknown object. By the dimensionality one understands the minimal number of variables of a function describing the data or an object. In an inverse obstacle scattering problem this number is 2, and an example of non-over-determined data is ( ): = (; ₀; ₀). By sub-index 0 a fixed value of a variable is denoted.

It is proved in this book that the data ( ), known for all in an open subset of , determines uniquely the surface and the boundary condition on . This condition can be the Dirichlet, or the Neumann, or the impedance type.

The above uniqueness theorem is of principal importance because the non-over-determined data are the minimal data determining uniquely the unknown . There were no such results in the literature, therefore the need for this book arose. This book contains a self-contained proof of the existence and uniqueness of the scattering solution for rough surfaces.


Product Details
ISBN: 9781681735887
ISBN-10: 1681735881
Publisher: Morgan & Claypool
Publication Date: June 12th, 2019
Pages: 69
Language: English
Series: Synthesis Lectures on Mathematics and Statistics