Convex Programs for Minimal-Area Problems

Abstract The minimal-area problem that defines string diagrams in closed string field theory asks for the metric of least area on a Riemann surface with the condition that all non-contractible closed curves have length at least $$2\pi $$ 2 π . This is an extremal length problem in conf...

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Main Authors: Headrick, Matthew, Zwiebach, Barton
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2021
Online Access:https://hdl.handle.net/1721.1/131449
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author Headrick, Matthew
Zwiebach, Barton
author_facet Headrick, Matthew
Zwiebach, Barton
author_sort Headrick, Matthew
collection MIT
description Abstract The minimal-area problem that defines string diagrams in closed string field theory asks for the metric of least area on a Riemann surface with the condition that all non-contractible closed curves have length at least $$2\pi $$ 2 π . This is an extremal length problem in conformal geometry as well as a problem in systolic geometry. We consider the analogous minimal-area problem for homology classes of curves and, with the aid of calibrations and the max flow-min cut theorem, formulate it as a local convex program. We derive an equivalent dual program involving maximization of a concave functional. These two programs give new insights into the form of the minimal-area metric and are amenable to numerical solution. We explain how the homology problem can be modified to provide the solution to the original homotopy problem.
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spelling mit-1721.1/1314492021-09-21T03:52:53Z Convex Programs for Minimal-Area Problems Headrick, Matthew Zwiebach, Barton Abstract The minimal-area problem that defines string diagrams in closed string field theory asks for the metric of least area on a Riemann surface with the condition that all non-contractible closed curves have length at least $$2\pi $$ 2 π . This is an extremal length problem in conformal geometry as well as a problem in systolic geometry. We consider the analogous minimal-area problem for homology classes of curves and, with the aid of calibrations and the max flow-min cut theorem, formulate it as a local convex program. We derive an equivalent dual program involving maximization of a concave functional. These two programs give new insights into the form of the minimal-area metric and are amenable to numerical solution. We explain how the homology problem can be modified to provide the solution to the original homotopy problem. 2021-09-20T17:17:07Z 2021-09-20T17:17:07Z 2020-03-31 2020-09-24T20:52:52Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131449 en https://doi.org/10.1007/s00220-020-03732-1 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer-Verlag GmbH Germany, part of Springer Nature application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Headrick, Matthew
Zwiebach, Barton
Convex Programs for Minimal-Area Problems
title Convex Programs for Minimal-Area Problems
title_full Convex Programs for Minimal-Area Problems
title_fullStr Convex Programs for Minimal-Area Problems
title_full_unstemmed Convex Programs for Minimal-Area Problems
title_short Convex Programs for Minimal-Area Problems
title_sort convex programs for minimal area problems
url https://hdl.handle.net/1721.1/131449
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AT zwiebachbarton convexprogramsforminimalareaproblems