Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar Talk Information |

**Date and Time**: Tuesday, May 17, 2016, 12:15 pm

**Duration**: 30 minutes

**Location**: OAT S15/S16/S17

**Speaker**: Ahad N. Zehmakan

You are Given a graph $G(V,E)$ and an initial random vertex-coloring such that each vertex $v\in V$ is blue with probability $p$ and red with probability $1-p$. In each step, all vertices change their current color synchronously to the most frequent color in their neighborhood (in the case of a tie, a vertex conserves its current color). We discuss the asymptotic behavior of this (random) process which is called color war. We mostly focus on grid and torus (probabilistic cellular automata) and, as a main result, show there exits $0 < q < 1$ as a threshold such that if $p \ll q$ a grid (torus) $G(V,E)$ reaches a red generation (all vertices red) in a constant number of steps, but $p \gg q$ results in the coexistence of both colors in a configuration of period one or two in at most $2|V|$ steps. You can also assume in the case of a tie, a vertex flips a coin to choose blue or red. We name this Markov chain random color war, and present also some interesting properties regarding its behavior.

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