The Szeg� Kernel for Non-Pseudoconvex Domains in â²

Description

<p>There are many operators associated with a domain Ω â âⁿ with smooth boundary âΩ. There are two closely related projections that are of particular interest. The <i>Bergman projection</i> <b><i>B</b></i> is the orthogonal projection of L²(Ω) onto the closed subspace L²(Ω)â©O(Ω), where O(Ω)is the space of all holomorphic functions on â¦. The <i>Szeg� projection</i> <b><i>S</b></i> is the orthogonal projection of L²(ââ¦) onto the space H²(Ω) of boundary values of elements of O(Ω). These projection operators have integral representations</p>
<p><b><i>B</b></i>[f](z) = <big>â«</big>_â¦,f(w)<b><i>B</b></i>(z,w)dw, <b><i>S</b></i>[f](z) = <big>â«</big>_ââ¦,f(w)<b><i>S</b></i>(z,w)do(w).</p>
<p>The distributions <b><i>B</b></i> and <b><i>S</b></i> are known respectively as the Bergman and Szeg� kernels. In an attempt to prove that <b><i>B</b></i> and <b><i>S</b></i> are bounded operators on L^p, 1 < p < â, many authors have obtained size estimates for the kernels B and S for <i>pseudoconvex</i> domains in âⁿ.</p>
<p>In this thesis, we restrict our attention to the Szeg� kernel for a large class of domains of the form 1 Such a domain fails to be pseudoconvex precisely when b is not convex on all of R. In an influential paper, Nagel, Rosay, Stein, and Wainger obtain size estimates for both kernels and sharp mapping properties for their respective operators in the convex setting. Consequently, if b is a convex polynomial, the Szeg� kernel S is absolutely convergent off the diagonal only. Carracino proves that the Szeg� kernel has singularities on <i>and off</i> the diagonal for a specific non-smooth, <i>{non-convex</i> piecewise defined quadratic b. Her results are novel since very little is known for the Szeg� kernel for non-pseudoconvex domains 2. I take b to be an arbitrary even-degree polynomial with positive leading coefficient and identify the set in 3 on which the Szeg� kernel is absolutely convergent. For a polynomial b, we will see that the Szeg� kernel is smooth off the diagonal if and only if b is convex. These results provide an incremental step toward proving the projection S is bounded on 4, for a large class of non-pseudoconvex domains â¦.</p>

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1. http://etd.lib.umt.edu/theses/available/etd-08032011-102211/

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Mathematical Sciences

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Identifer	oai:union.ndltd.org:MONTANA/oai:etd.lib.umt.edu:etd-08032011-102211
Date	05 August 2011
Creators	Gilliam, Michael
Contributors	Jennifer Halfpap, Eric Chesebro, Michael Schneider, Karel Stroethoff, Thomas Tonev
Publisher	The University of Montana
Source Sets	University of Montana Missoula
Language	English
Detected Language	English
Type	text
Format	application/pdf
Source	http://etd.lib.umt.edu/theses/available/etd-08032011-102211/
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