
Given a sequence of orthonormal polynomials \(\{P_n\}\), satisfying the recurrence relation \[ a_nP_{n+1}(x)+b_nP_n(x)+a_nP_{n-1}(x)=xP_n(x), \quad a_n>0, \quad b_n \in {\mathbb{R}}, \] with \(P_0=0\), \(P_1=1\), the corresponding Jacobi matrix \(T\) is defined by \[ Te_1=a_1e_{2}+b_1e_1, \qquad Te_n=a_ne_{n+1}+b_ne_n+a_ne_{n-1}, \quad n>1, \] where \(e_n, n \geq 1\), is the standard orthonormal basis in \(l_2\). It is well known that the uniqueness of the measure of orthogonality for \(\{ P_n \}\) is equivalent to the essential self-adjointness of \(T\). The approach followed in this paper is based on the separation \(T=AV^*+VA+B\), where \(A\) and \(B\) are diagonal and \(V\) is the right shift operator. The author studies in detail the definition domains of \(A\), \(B\), \(VA\) and \(AV^*\). In this way, a new sufficient condition for non-selfadjointness of \(T\) is proved, which does not restrict the spectrum of \(T\) to the semiaxis.
Mathematics(all), Numerical Analysis, Applied Mathematics, Applied mathematics, Moment problems and interpolation problems in the complex plane, orthonormal polynomials, Linear symmetric and selfadjoint operators (unbounded), selfadjoint operator, Jacobi matrix, recurrence relation, Εφαρμοσμένα μαθηματικά, Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, Linear operator methods in interpolation, moment and extension problems, Analysis
Mathematics(all), Numerical Analysis, Applied Mathematics, Applied mathematics, Moment problems and interpolation problems in the complex plane, orthonormal polynomials, Linear symmetric and selfadjoint operators (unbounded), selfadjoint operator, Jacobi matrix, recurrence relation, Εφαρμοσμένα μαθηματικά, Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, Linear operator methods in interpolation, moment and extension problems, Analysis
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