Asymptotics for Bergman projections with smooth weights: a direct approach
Michael Hitrik, Matthew Stone

TL;DR
This paper extends the direct semiclassical Bergman kernel asymptotics approach, previously used for real analytic weights, to smooth weights, avoiding complex tricks and enabling explicit amplitude construction via Fourier integral operators.
Contribution
It introduces a new method for asymptotic Bergman kernel analysis with smooth weights, bypassing the Kuranishi trick and using explicit Fourier integral operator inversion.
Findings
Successful adaptation of the approach to smooth weights
Explicit construction of the Bergman projection amplitude
Avoidance of the Kuranishi trick in asymptotic analysis
Abstract
We adapt the direct approach to the semiclassical Bergman kernel asymptotics, developed recently by A. Deleporte, J. Sj\"ostrand, and the first-named author for real analytic exponential weights, to the smooth case. Similar to that work, our approach avoids the use of the Kuranishi trick and it allows us to construct the amplitude of the asymptotic Bergman projection by means of an asymptotic inversion of an explicit Fourier integral operator.
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Taxonomy
TopicsHolomorphic and Operator Theory · Algebraic and Geometric Analysis · Mathematical functions and polynomials
