CME 305: Discrete Mathematics and Algorithms
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چکیده
Solution: Let G(V,E) denote the graph in question; we construct a new graph H(W,F ) in which an ordinary single particle random walk corresponds to the two particle random walk on G. Take W = V × V = {(v1, v2)|v1, v2 ∈ V } and F = {((v1, v2), (w1, w2))|(v1, w1), (v2, w2) ∈ E}. The idea here is that a uniform random walk on H encodes the state of a two particle random walk on G (in the same way that a random walk on the path graph encodes the state of a drunk). Given a starting configuration v = (v1, v2) ∈ W the expected time until the particles collide is bounded by the hitting time to the vertex u = (v1, v1) ∈ W . This hitting time is bounded by the cover time of H, i.e.
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CME 305: Discrete Mathematics and Algorithms
In this lecture we be begin our tour of discrete mathematics and algorithms by looking at one of the most fundamental and classic problems in combinatorial optimization and graph theory, computing the edge connectivity of an undirected, unweighted graph. In the next few lectures we will take a more principled and fundamental approach to graph theory and connectivity. The goal of today is to get...
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