1. Sobolev Spaces W1,p(ℝn,γ)Weighted by the Gaussian Normal Distribution γ(x):=1πnexp(−|x|2)and the Spectral Theory
- Author
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Sauvigny, Friedrich
- Abstract
In the spectral theory it does make a difference, whether we consider differential operators on bounded or unbounded domains. In order to treat eigenvalue problems on the whole Euclidean space, we construct Sobolev spaces over ℝn, which are weighted by the Gaussian normal distribution. By the methods presented in Chapters 2, 8, and 10 of the treatise F. Sauvigny: Partial Differential Equations 1 and 2, Springer Universitext (2012), we can prove an analogue of the Sobolev embedding theoremand a Rellich selection theoremfor the Sobolev spaces W01,p(ℝn,γ)weighted by γ- with vanishing values towards infinity. We achieve these specific results for our entire Sobolev spacesW1,p(ℝn,γ), since we concentrate on the Gaussian normal distribution γas our weight function. Even our notion of the weighted partial derivativedepends on this weight function. Within the so-called Gauß–Rellich spaceW01,2(ℝn,γ)we shall investigate the discrete spectrum of weighted elliptic operators over ℝnby spectral methods. There we rely on the treatise F. Sauvigny: Spektraltheorie selbstadjungierter Operatoren im Hilbertraum und elliptischer Differentialoperatoren, Springer Spektrum (2019). By reflection methods, we solve eigenvalue problems for elliptic differential operators on the sectorial domain ℝ+nunder vanishing and mixed boundary conditions.
- Published
- 2021
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