Searcharxiv⌕ Search

arXiv subjects

Fikret Gölgeleyen

Publications and source records attributed to Fikret Gölgeleyen.

5 recordsLinked to original sources

Inverse coefficient problems for a transport equation by local Carleman estimate

We consider the transport equation $\ppp_tu(x,t) + (H(x)\cdot \nabla u(x,t)) + p(x)u(x,t) = 0$ in $\OOO \times (0,T)$ where $\OOO \subset \R^n$ is a bounded domain, and discuss two inverse problems which consist of determining a vector-valued function $H(x)$ or a real-valued function $p(x)$ by initial values and data on a subboundary of $\OOO$. Our results are conditional stability of Hölder type in a subdomain $D$ provided that the outward normal component of $H(x)$ is positive on $\ppp D \cap \ppp\OOO$. The proofs are based on a Carleman estimate where the weight function depends on $H$.

math.AP↗

Inverse Problems for Ultrahyperbolic Schrödinger Equations

In this paper, we establish a global Carleman estimate for an Ultrahyperbolic Schrödinger equation. Moreover, we prove Hölder stability for the inverse problem of determining a coefficient or a source term in the Ultrahyperbolic Schrödinger equation by some lateral boundary data.

math.AP↗

Stability for some inverse problems for transport equations

In this article, we consider inverse problems of determining a source term and a coefficient of a first-order partial differential equation and prove conditional stability estimates with minimum boundary observation data and relaxed condition on the principal part.

math.AP↗

Uniqueness in an Integral Geometry Problem and an Inverse Problem for the Kinetic Equation

In this paper, we discuss the uniqueness in an integral geometry problem in a strongly convex domain. Our problem is related to the problem of finding a Riemannian metric by the distances between all pairs of the boundary points. For the proof, the problem is reduced to an inverse source problem for a kinetic equation on a Riemannian manifold and then the uniqueness theorem is proved in semi-geodesic coordinates by using the tools of Fourier analysis.

math.DG↗