Spherical mean transform from the pde point of view

Mathematics – Analysis of PDEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages

Scientific paper

We study the spherical mean transform on $\rN^n$. The transform is characterized by the Euler-Poisson-Darboux equation. By looking at the spherical harmonic expansions, we obtain a system of 1+1-dimension hyperbolic equations, which provide a good machinery to attack problems of spherical mean transform. As showcases, we discuss two known problems. The first one is a local uniqueness problem investigated by M. Agranovsky and P. Kuchment, [{\em Memoirs on Differential Equations and Mathematical Physics}, 52:1--16, 2011]. We present a simple proof which works even under a weaker condition. The second problem is to characterize the kernel of spherical mean transform on annular regions, which was studied by C. Epstein and B. Kleiner [{\em Comm. Pure Appl. Math.}, 46(3):441--451, 1993]. We present a short proof that simultaneously obtains the necessity and sufficiency for the characterization. As a consequence, we derive a reconstruction procedure for the transform with additional interior (or exterior) information. We also discuss how the approach works for the hyperbolic and spherical spaces.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Spherical mean transform from the pde point of view does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Spherical mean transform from the pde point of view, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spherical mean transform from the pde point of view will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-231111

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.