1,232 research outputs found
Uniqueness theorem for inverse scattering problem with non-overdetermined data
Let be real-valued compactly supported sufficiently smooth function,
, . It is proved that the
scattering data ,
determine uniquely. here is the scattering amplitude,
corresponding to the potential
Uniqueness of the solution to inverse scattering problem with scattering data at a fixed direction of the incident wave
Let be real-valued compactly supported sufficiently smooth function.
It is proved that the scattering data , determine uniquely. Here is a fixed
direction of the incident plane wave
Creating materials with a desired refraction coefficient
A method is given for creating material with a desired refraction
coefficient. The method consists of embedding into a material with known
refraction coefficient many small particles of size . The number of
particles per unit volume around any point is prescribed, the distance between
neighboring particles is as ,
is a fixed parameter. The total number of the embedded particle is
. The physical properties of the particles are described by
the boundary impedance of the particle,
as . The refraction coefficient is the
coefficient in the wave equation
Creating desired potentials by embedding small inhomogeneities
The governing equation is in . It is shown
that any desired potential , vanishing outside a bounded domain , can
be obtained if one embeds into D many small scatterers , vanishing
outside balls , such that in ,
outside , , . It is proved that if the number of
small scatterers in any subdomain is defined as
and is given by the formula
as , where
, then the limit of the function , does exist and solves the equation in
, where ,and . The total number of small
inhomogeneities is equal to and is of the order as .
A similar result is derived in the one-dimensional case
Recovery of a quarkonium system from experimental data
For confining potentials of the form q(r)=r+p(r), where p(r) decays rapidly
and is smooth for r>0, it is proved that q(r) can be uniquely recovered from
the data {E_j,s_j}, where E_j are the bound states energies and s_j are the
values of u'_j(0), and u_j(r) are the normalized eigenfunctions of the problem
-u_j" +q(r)u_j=E_ju_j, r>0, u_j(0)=0, ||u_j||=1, where the norm is L^2(0,
\infty) norm. An algorithm is given for recovery of p(r) from few experimental
data
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