Electronic Theses and Dissertations

Date of Award

1-1-2023

Document Type

Thesis

Degree Name

M.S. in Mathematics

First Advisor

Samuel Lisi

Second Advisor

Rizwanur Khan

Third Advisor

Sasa Kocic

School

University of Mississippi

Relational Format

dissertation/thesis

Abstract

Symplectic capacities are a central tool from quantitative symplectic topology which act as symplectic invariants, distinguishing symplectic manifolds as different. There are a wide variety of capacities common in the literature today. The still-open Viterbo conjecture states all normalized symplectic capacities coincide on convex domains. Even upper bounds for these capacities are not completely understood, and there are many hard computational barriers. The recent work of Chaidez and Hutchings as well as that of Haim-Kislev have yielded results simplifying computation of a capacity in the case of convex polytopes. In this thesis, we prove an upper bound on normalized capacities over a rotated hypercube. We investigate a linearization of the cylinder capacity and prove results which aid in computing this linearization. Through these, we are able to investigate statistical properties of the linearized capacity with a computer and can prove a result regarding the distribution of this linearization over randomly rotated hypercubes.

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