2012
DOI: 10.1090/s0002-9939-2012-11531-x
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Polyhedral surfaces and determinant of Laplacian

Abstract: An explicit formula for the determinant of the Laplacian on a compact polyhedral surface of genus g > 1 is found. This formula generalizes previously known results for flat surfaces with trivial holonomy and compact polyhedral tori.

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Cited by 22 publications
(34 citation statements)
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“…This formula is stated in [9] for fixed radius R and for the heat kernel at time t as t → 0, but because of the usual scaling properties, it holds equally well for fixed t, say t = 1, and as the radius R → ∞; indeed, the quantity on the left depends only on the ratio R/t 2 . The coefficients in this expansion have been written in a nonreduced form in order to emphasize the dependence on the angle 2α.…”
Section: Neumann Boundary Conditionsmentioning
confidence: 98%
“…This formula is stated in [9] for fixed radius R and for the heat kernel at time t as t → 0, but because of the usual scaling properties, it holds equally well for fixed t, say t = 1, and as the radius R → ∞; indeed, the quantity on the left depends only on the ratio R/t 2 . The coefficients in this expansion have been written in a nonreduced form in order to emphasize the dependence on the angle 2α.…”
Section: Neumann Boundary Conditionsmentioning
confidence: 98%
“…In [22] it was found a comparison formula (an analog of classical Polyakov formula) relating determinants of the Laplacians in two conformally equivalent flat conical metrics. This lead to the generalization of the results of [24] to the case of arbitrary flat conformal metrics with conical singularities.…”
Section: General Partmentioning
confidence: 99%
“…In recent years there has been progress towards understanding the behavior of the determinant of certain self-adjoint extensions of the Laplace operator, most notably the Friedrichs extension, on surfaces with conical singularities. This progress represents different aspects that have been studied by Kokotov [ 22 ], Hillairet and Kokotov [ 19 ], Loya et al [ 26 ], Spreafico [ 40 ], and Sher [ 39 ]. In particular, the results by Aurell and Salomonson [ 5 ] inspired our present work.…”
Section: Introductionmentioning
confidence: 95%