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random-walks – Ben Barber https://babarber.uk mathematical storytelling Fri, 16 Dec 2016 14:17:16 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.2 Partition regularity and other combinatorial problems https://babarber.uk/157/thesis/ https://babarber.uk/157/thesis/#respond Fri, 16 Dec 2016 14:17:16 +0000 http://babarber.uk/?p=157 This is the imaginative title of my PhD thesis.  It contains four unrelated pieces of work.  (I was warned off using this phrasing in the thesis itself, where the chapters are instead described as “self-contained”.)

The first and most substantial concerns partition regularity.  It is a coherent presentation of all of the material from Partition regularity in the rationals, Partition regularity with congruence conditions and Partition regularity of a system of De and Hindman.

The remaining three chapters are expanded versions of Maximum hitting for n sufficiently large, Random walks on quasirandom graphs and A note on balanced independent sets in the cube.1

Erratum: the form of Talagrand’s inequality quoted as Theorem 6 in Chapter 4 has an incorrect proof in the book cited.  The proof can be modified to prove a slightly weaker result, with 60 replaced by 90 and an assumption that the median of X is at least 100c^2 (a constant).  This is remarked in the published version of this chapter, Random walks on quasirandom graphs.

1 “A note … ” was fairly described by one of my examiners as a “potboiler”.  It was also my first submitted paper, and completed in my second of three years.  Perhaps this will reassure anybody in the first year of a PhD who is worrying that they have yet to publish.

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Random walks on quasirandom graphs https://babarber.uk/92/random-walks-on-quasirandom-graphs/ https://babarber.uk/92/random-walks-on-quasirandom-graphs/#respond Wed, 31 Aug 2016 16:45:52 +0000 http://babarber.uk/?p=92 Ben Barber and Eoin Long, The Electronic Journal of Combinatorics, 20(4) (2013), #P25 PDF

Take a long (proportional to n^2) random walk W in a quasirandom graph G. Must the subgraph of edges traversed by W be quasirandom? We’d like to say yes, for the following reason: W visits every vertex about the same number of times, so we pick up the same number of random edges at every vertex. In the case where the minimum degree of G is large, this argument is essentially correct. If G has some vertices of very low degree then it breaks down because the random walk can get stuck in clusters of low degree vertices. However, a more sophisticated argument can recover a result that is almost as strong.

The proofs both fall into two parts: first show that the random walk does not differ too much from a process that has much more independence, then exploit that independence by applying standard concentration results to show that things work with high probability. It turns out that our results can be tweaked to apply to the more general case of random homomorphisms of trees (rather than paths) provided the maximum degree of the tree isn’t too large, so we indicate the necessary changes at the end of the paper.

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