
Given the Cauchy process \((X_{t})\) on \(\mathbb R^d\), \(d\geq 1\), the authors investigate the spectral properties of the semigroup \((P_{t}^D)\) obtained from \((X_{t})\) by killing the process upon leaving the bounded open set \(D\) whose boundary has to satisfy some (Lipschitz) regularity property. The basic step is the fact that the functions \(u_{n}(x,t):= P_{t}^D \varphi_{n}(x)\) satisfy a mixed Steklov problem where \(\varphi_{n}\) are the eigenfunctions of the semigroup \(P_{t}^D\) with eigenvalues \(e^{-\lambda_{n}t}\), \(00\) on \(D_{\pm} = \{x\in D\;| \;\pm x_{1} >0\}\) and show that \(\varphi_{\ast}\) has the lowest eigenvalue among all antisymmetric eigenfunctions. The last section is devoted to the one-dimensional problem with \(D=(-1,1)\). Estimates for \(\lambda_{1},\;\lambda_{2}\) and \(\lambda_{3}\) are given and symmetry properties of the corresponding eigenfunctions are proven.
nodal sets, variational formula for eigenvalues, Eigenvalue, spectral theory, Probabilistic potential theory, mixed Steklov problem, Couchy process, Stable stochastic processes, Cauchy process, Steklov problem, symmetry properties of eigenfunctions, Eigenfunction, Spectral theory, Analysis
nodal sets, variational formula for eigenvalues, Eigenvalue, spectral theory, Probabilistic potential theory, mixed Steklov problem, Couchy process, Stable stochastic processes, Cauchy process, Steklov problem, symmetry properties of eigenfunctions, Eigenfunction, Spectral theory, Analysis
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