The inverse problem of the Schrödinger equation in the plane - Blåsten, Eemeli
32,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
16 °P sammeln
  • Broschiertes Buch

This licentiate thesis presents Bukhgeim's result of 2008, which gives uniqueness for the inverse problem of the Schrödinger equation in the two-dimensional case. He proved that the boundary data given by an arbitrary potential in a plane domain determines that potential uniquely. After a brief historical review on related inverse problems the author starts to explain Bukhgeim's proof. The big picture is elegant. Given two potentials which give the same boundary data there is a weighted orthogonality relation for the solutions of the two Schrödinger equations. This weight is the difference of…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This licentiate thesis presents Bukhgeim's result of 2008, which gives uniqueness for the inverse problem of the Schrödinger equation in the two-dimensional case. He proved that the boundary data given by an arbitrary potential in a plane domain determines that potential uniquely. After a brief historical review on related inverse problems the author starts to explain Bukhgeim's proof. The big picture is elegant. Given two potentials which give the same boundary data there is a weighted orthogonality relation for the solutions of the two Schrödinger equations. This weight is the difference of the potentials, from which stationary phase techniques give information. This is made possible by using Bukhgeim's new kinds of oscillating solutions. There is a point in the reasoning that is difficult to understand unless one assumes some differentiability for the potentials. This thesis tries to clarify that point.
Autorenporträt
Eemeli Blåsten is a doctoral student at the University of Helsinki. He finished his master's degree there in 2008 and his licentiate's degree in 2010. Currently he works for the Finnish Centre of Excellence in Inverse Problems Research. His topics of research are stability for inverse problems and reducing smoothness requirements.