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University of Maryland

Statistical Modeling of Wave Chaotic Transport and Tunneling

Abstract

dc:description.abstract

This thesis treats two general problem areas in the field of wave chaos. The first problem area that we address concerns short wavelength tunneling from a classically confined region in which the classical orbits are chaotic. We de- velop a quantitative theory for the statistics of energy level splittings for symmetric chaotic wells separated by a tunneling barrier. Our theory is based on the ran- dom plane wave hypothesis. While the fluctuation statistics are very different for chaotic and non-chaotic well dynamics, we show that the mean splittings of differ- ently shaped wells, including integrable and chaotic wells, are the same if their well areas and barrier parameters are the same. We also consider the case of tunneling from a single well into a region with outgoing quantum waves. Our second problem area concerns the statistical properties of the impedance matrix (related to the scattering matrix) describing the input/output properties of waves in cavities in which ray trajectories that are regular and chaotic coexist (i.e., `mixed' systems). The impedance can be written as a summation over eigenmodes where the eigenmodes can typically be classified as either regular or chaotic. By appropriate characterizations of regular and chaotic contributions, we obtain statis- tical predictions for the impedance. We then test these predictions by comparison with numerical calculations for a specific cavity shape, obtaining good agreement.

Degree

thesis:*
Department dc:contributor.department
Physics
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lee, Ming-Jer
Advisor dc:contributor.advisor
  • Ott, Edward

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1903/14524
OAI identifier oai:identifier
oai:drum.lib.umd.edu:1903/14524

Chain of custody

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Last updated
2026-07-24
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citation

Lee, Ming-Jer. Statistical Modeling of Wave Chaotic Transport and Tunneling. 2013. http://hdl.handle.net/1903/14524