Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Convex Programs for Minimal-Area Problems
This is not the latest version of this item. The latest version can be found here.

Convex Programs for Minimal-Area Problems

Thumbnail Image
Download
Name

220_2020_3732_ReferencePDF.pdf

Size

14.95 MB

Format

Adobe PDF

Checksum (MD5)

1bf6953a9862cd097b156616831806b3

Download all files submitted through automated deposit
art_8154803977033805806.zip (14.2 MB)
Author(s)
Headrick, Matthew
•
Zwiebach, Barton
Date Issued
March 31, 2020
Publisher
Springer Berlin Heidelberg
Version
Author's final manuscript
Abstract
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.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/131449
DOI of Published Version
https://doi.org/10.1007/s00220-020-03732-1
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.