The Sinkhorn Limit of Positive 3 × 3 Matrices

ISEF · 2023 Mathematics

Overview

A positive square matrix is an n × n array of positive real number entries. The Sinkhorn-Knopp alternate minimization algorithm transforms these matrices into their respective doubly stochastic Sinkhorn limits. This effect is analyzed using both numerical and symbolic data. A modified version of Nathanson’s explicit formula for the Sinkhorn limit of general positive 2 × 2 matrices is introduced. Then a methodology inspired by Nathanson and Zeilberger that utilizes Buchberger’s algorithm to compute Gröbner bases in order to find an explicit formula for the Sinkhorn limit of general positive 3 × 3 matrices is discussed. After implementing this methodology, a desired explicit formula is provided and analyzed. Focal parts of this formula are symbolically analyzed for applications in finding explicit formulae for the Sinkhorn limit of n × n matrices where n>3.

Competition history

Resources

Related projects

Closest projects by meaning, across every fair and year in the corpus.

Browse more like this

Source: Regeneron International Science and Engineering Fair

Save projects to your library

Sign in with Google to keep track of projects you find interesting, organized into folders. An account also raises your daily allowance for “Has this been done?”, and lets you create a key for the MCP server with a much higher limit than anonymous use. Browsing stays public.

Continue with Google