12,579 research outputs found
Commuting self-adjoint extensions of symmetric operators defined from the partial derivatives
We consider the problem of finding commuting self-adjoint extensions of the
partial derivatives {(1/i)(\partial/\partial x_j):j=1,...,d} with domain
C_c^\infty(\Omega) where the self-adjointness is defined relative to
L^2(\Omega), and \Omega is a given open subset of R^d. The measure on \Omega is
Lebesgue measure on R^d restricted to \Omega. The problem originates with I.E.
Segal and B. Fuglede, and is difficult in general. In this paper, we provide a
representation-theoretic answer in the special case when \Omega=I\times\Omega_2
and I is an open interval. We then apply the results to the case when \Omega is
a d-cube, I^d, and we describe possible subsets \Lambda of R^d such that
{e^(i2\pi\lambda \dot x) restricted to I^d:\lambda\in\Lambda} is an orthonormal
basis in L^2(I^d).Comment: LaTeX2e amsart class, 18 pages, 2 figures; PACS numbers 02.20.Km,
02.30.Nw, 02.30.Tb, 02.60.-x, 03.65.-w, 03.65.Bz, 03.65.Db, 61.12.Bt,
61.44.B
Spectral reciprocity and matrix representations of unbounded operators
Motivated by potential theory on discrete spaces, we study a family of
unbounded Hermitian operators in Hilbert space which generalize the usual
graph-theoretic discrete Laplacian. These operators are discrete analogues of
the classical conformal Laplacians and Hamiltonians from statistical mechanics.
For an infinite discrete set , we consider operators acting on Hilbert
spaces of functions on , and their representations as infinite matrices; the
focus is on , and the energy space . In
particular, we prove that these operators are always essentially self-adjoint
on , but may fail to be essentially self-adjoint on
. In the general case, we examine the von Neumann
deficiency indices of these operators and explore their relevance in
mathematical physics. Finally we study the spectra of the
operators with the use of a new approximation
scheme.Comment: 20 pages, 1 figure. To appear: Journal of Functional Analysi
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