1993
DOI: 10.1088/0264-9381/10/11/010
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The energy-momentum tensor of a black hole, or what curves the Schwarzschild geometry?

Abstract: Using distributional techniques we calculate the energy-momentum tensor of the Schwarzschild geometry. It turns out to be a well-defined tensor-distribution concentrated on the r = 0 region which is usually excluded from space-time. This provides a physical interpretation for the curvature of this geometry.

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Cited by 83 publications
(107 citation statements)
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“…Notice that the authors [15] chose a very dif f erent function f (r) = r λ than the one chosen above f (r) = r/|r|, and in the limit λ → 0, arrived at similar results for the distribution-valued scalar curvature. A different approach based on Colombeau's nonlinear distributional calculus was undertaken by [14].…”
mentioning
confidence: 86%
“…Notice that the authors [15] chose a very dif f erent function f (r) = r λ than the one chosen above f (r) = r/|r|, and in the limit λ → 0, arrived at similar results for the distribution-valued scalar curvature. A different approach based on Colombeau's nonlinear distributional calculus was undertaken by [14].…”
mentioning
confidence: 86%
“…Eventually, its distributional limit is computed and-via the field equations-a distributional energy momentum tensor is obtained. This tensor may then be interpreted as distributional source of the Schwarzschild geometry [9,10,11,12,13]. However, using ad-hoc regularizations we are confronted with the problem of regularization independence of the results which may not be suitably addressed within this setting.…”
Section: Prerequisitesmentioning
confidence: 99%
“…In this section we present a first approach to the "Schwarzschild point mass problem", thereby essentially following earlier treatments in the literature ( [9,11,12,13]). However, we are going to use the language of nonlinear distributional geometry introduced above in order to obtain a unified view, which will enable us to carry out a detailed analysis of the previous approaches in the next section.…”
Section: A First Approach To the Problemmentioning
confidence: 99%
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