Topological Bounds on the Dimension of Orthogonal Representations of Graphs

11/28/2018
by   Ishay Haviv, et al.
0

An orthogonal representation of a graph is an assignment of nonzero real vectors to its vertices such that distinct non-adjacent vertices are assigned to orthogonal vectors. We prove general lower bounds on the dimension of orthogonal representations of graphs using the Borsuk-Ulam theorem from algebraic topology. Our bounds strengthen the Kneser conjecture, proved by Lovász in 1978, and some of its extensions due to Bárány, Schrijver, Dol'nikov, and Kriz. As applications, we determine the integrality gap of fractional upper bounds on the Shannon capacity of graphs and the quantum one-round communication complexity of certain promise equality problems.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/06/2021

On a tracial version of Haemers bound

We extend upper bounds on the quantum independence number and the quantu...
research
10/02/2021

Local Orthogonality Dimension

An orthogonal representation of a graph G over a field 𝔽 is an assignmen...
research
09/15/2017

The Orthogonal Vectors Conjecture for Branching Programs and Formulas

In the Orthogonal Vectors (OV) problem, we wish to determine if there is...
research
12/21/2018

Round elimination in exact communication complexity

We study two basic graph parameters, the chromatic number and the orthog...
research
01/25/2018

On the algorithmic complexity of decomposing graphs into regular/irregular structures

A locally irregular graph is a graph whose adjacent vertices have distin...
research
09/04/2019

On Orthogonal Vector Edge Coloring

Given a graph G and a positive integer d, an orthogonal vector d-colorin...
research
08/11/2021

Shannon capacity, Chess, DNA and Umbrellas

A vexing open problem in information theory is to find the Shannon capac...

Please sign up or login with your details

Forgot password? Click here to reset