2010
DOI: 10.3842/sigma.2010.069
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Balanced Metrics and Noncommutative Kähler Geometry

Abstract: Abstract. In this paper we show how Einstein metrics are naturally described using the quantization of the algebra of functions C ∞ (M ) on a Kähler manifold M . In this setup one interprets M as the phase space itself, equipped with the Poisson brackets inherited from the Kähler 2-form. We compare the geometric quantization framework with several deformation quantization approaches. We find that the balanced metrics appear naturally as a result of requiring the vacuum energy to be the constant function on the… Show more

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Cited by 5 publications
(2 citation statements)
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“…In other words, if we think of M as parametrizing embeddings, we pull back the Fubini-Study metric on U ∨ r . Conversely, we saw in (3.28) that we had the assignment Incidentally, there is a sense in which balanced metrics may be regarded as quantized versions of hermitian-Einstein metrics, with = 1/m [53,54]. It is currently not completely clear to us what the significance of this is in the context of phenomenological string compactifications (see [55,56] for a possible interpretation in a slightly different setting), but it would surely be interesting if balanced metrics have some physical significance beyond serving as approximations of hermitian-Einstein metrics.…”
Section: Numerical Approach With Balanced Metricsmentioning
confidence: 97%
“…In other words, if we think of M as parametrizing embeddings, we pull back the Fubini-Study metric on U ∨ r . Conversely, we saw in (3.28) that we had the assignment Incidentally, there is a sense in which balanced metrics may be regarded as quantized versions of hermitian-Einstein metrics, with = 1/m [53,54]. It is currently not completely clear to us what the significance of this is in the context of phenomenological string compactifications (see [55,56] for a possible interpretation in a slightly different setting), but it would surely be interesting if balanced metrics have some physical significance beyond serving as approximations of hermitian-Einstein metrics.…”
Section: Numerical Approach With Balanced Metricsmentioning
confidence: 97%
“…In this context the Bergman kernel is the "reproducing kernel" studied in [20], see [17] for a review. For recent work on applications of the Bergman kernel to quantization of Kähler manifolds see [21,22]. Another recent paper discussing the topic is [23].…”
Section: Introductionmentioning
confidence: 99%