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“Random walks” is a topic situated somewhere in between probability, potential theory, harmonic analysis, geometry, graph theory, and algebra. The beauty of the subject stems from this linkage, both in the way of thinking and in the methods employed, of different fields.
Let me briefly declare what - in my viewpoint - random walks are. These are time-homogeneous Markov chains whose transition probabilities are in some way (to be specified more precisely in each case) adapted to a given structure of the underlying state space. This structure may be geometric or algebraic; here it will be discrete and infinite. Typically, we shall use locally finite graphs to view the structure. This also includes groups via their Cayley graphs. From the probabilistic viewpoint, the question is what impact the particular type of structure has on various aspects of the behaviour of the random walk, such as transience/recurrence, decay and asymptotic behaviour of transition probabilities, rate of escape, convergence to a boundary at infinity and harmonic functions. Vice versa, random walks may also be seen as a nice tool for classifying, or at least describing the structure of graphs, groups and related objects.
Of course, random walks on finite graphs and groups are a fascinating topic as well, and have had an enormous renaissance in the last decade: a book written by two major experts, D. Aldous and J. Fill, is about to appear.
This final chapter is devoted to studying the interplay between the spatial behaviour of random walks, harmonic functions, and compactifications of the state space. The word “topological” in the title is thought of as opposed to “measure theoretic”. This means that the rich and deep theory of the Poisson boundary, related entropy methods and the weak Liouville property (constantness of bounded harmonic functions) will be touched only marginally.
Let X be a separable metric space (typically a graph with its integervalued distance). By a compactification of X we shall always mean a compact Hausdorff space with countable base of the topology, containing X, such that the inclusion X → is a homeomorphism, and such that X is open and dense in. Therefore is metrizable, and the boundary ϑX = \ X is compact. Our way of thinking is that the compactification has a “natural” description in terms of the geometry of X, prior to considering random walks. We then consider a transient random walk Zn on X with transition matrix P and look for suitable adaptedness conditions which allow us to answer the following questions.
(A) Convergence to the boundary. Does there exist a ϑX-valued random variable Z∞ such that in the -topology, Zn → Z∞ almost surely (ℙx) for every x?
(B) Dirichlet problem at infinity. Does every continuous function ϑX → ℝ admit a continuous extension to which is harmonic on X?
A type of evolution of graphs with maximum vertex degree at most d is introduced. This evolution can start from any initial graph whose set of vertices of degree less than d is independent. The main concern is the regularity of graphs generated by this graph process when the initial graph has no edges. By analysis of the solutions of systems of differential equations it is shown that the final graph of this evolution is asymptotically almost surely a d-regular graph (subject to the usual parity condition).
We prove that if the edge probability p(n) satisfies n−1/4+ε [les ] p(n) [les ] 3/4, where 0 < ε < 1/4 is a constant, then the choice number and the chromatic number of the random graph G(n, p) are almost surely asymptotically equal.
Two results dealing with the relation between the smallest eigenvalue of a graph and its bipartite subgraphs are obtained. The first result is that the smallest eigenvalue μ of any non-bipartite graph on n vertices with diameter D and maximum degree Δ satisfies μ [ges ] −Δ + 1/(D+1)n. This improves previous estimates and is tight up to a constant factor. The second result is the determination of the precise approximation guarantee of the MAX CUT algorithm of Goemans and Williamson for graphs G = (V, E) in which the size of the max cut is at least A[mid ]E[mid ], for all A between 0.845 and 1. This extends a result of Karloff.
The maximum expected length of an increasing subsequence which can be selected by a non-anticipating policy from a random permutation of 1, …, n is known to be asymptotic to √2n. We give a new proof of this fact and demonstrate a policy which achieves this value.
We prove the following conjecture of J. van den Berg and H. Kesten. For any events [Ascr] and [Bscr] in a product probability space, Prob([Ascr]□[Bscr]) [les ] Prob([Ascr])Prob([Bscr]), where [Ascr]□[Bscr] is the event that [Ascr] and [Bscr] occur ‘disjointly’.
The k-colouring problem is to colour a given k-colourable graph with k colours. This problem is known to be NP-hard even for fixed k [ges ] 3. The best known polynomial time approximation algorithms require nδ (for a positive constant δ depending on k) colours to colour an arbitrary k-colourable n-vertex graph. The situation is entirely different if we look at the average performance of an algorithm rather than its worst-case performance. It is well known that a k-colourable graph drawn from certain classes of distributions can be k-coloured almost surely in polynomial time.
In this paper, we present further results in this direction. We consider k-colourable graphs drawn from the random model in which each allowed edge is chosen independently with probability p(n) after initially partitioning the vertex set into k colour classes. We present polynomial time algorithms of two different types. The first type of algorithm always runs in polynomial time and succeeds almost surely. Algorithms of this type have been proposed before, but our algorithms have provably exponentially small failure probabilities. The second type of algorithm always succeeds and has polynomial running time on average. Such algorithms are more useful and more difficult to obtain than the first type of algorithms. Our algorithms work as long as p(n) [ges ] n−1+ε where ε is a constant greater than 1/4.
We generalize the notion of choice number from graphs to hypergraphs and estimate the sharp order of magnitude of the choice number of random hypergraphs. It turns out that the choice number and the chromatic number of a random hypergraph have the same order of magnitude, almost surely. Our result implies an earlier bound on the chromatic number of random hypergraphs, proved by Schmidt [23] using a different method.
It is well known that, if p is prime, the multiplicative group (ℤ/pℤ)* of reduced residues is cyclic. A generator is called a primitive root; there are φ(p − 1) of them, where φ is Euler's function. Thus, (φ(p − 1)/(p−1) is the proportion of primitive roots modulo p in (ℤ/pℤ)*. Elliott has proved that φp − 1)/(p − 1) has a limiting distribution function [2], in the sense that
Assuming the abc-conjecture, it is shown that there are only finitely many powerful binomial coefficients with 3≤k≤n/2 in fact, if q2 divides , then . Unconditionally, it is shown that there are N1/2+σ(1) powerful binomial coefficients in the top N rows of Pascal's Triangle.
Several results are proved related to a question of Steinhaus: is there a set E⊂ℝ2 such that the image of E under each rigid motion of IR2 contains exactly one lattice point? Assuming measurability, the analogous question in higher dimensions is answered in the negative, and on the known partial results in the two dimensional case are improved on. Also considered is a related problem involving finite sets of rotations.
A (countably) compact measure is one which is inner regular with respect to a (countably) compact class of sets. This note characterizes compact probability measures in terms of the representation of Boolean homomorphisms of their measure algebras, and shows that the same ideas can be used to give a direct proof of J. Pachl's theorem that any image measure of a countably compact measure is again countably compact.
Questions of Haight and of Weizsäcker are answered in the following result. There exists a measurable function f: (0, + ∞) → {0,1} and two non-empty intervals IFI∞⊂[½,1) such that Σ∞n = 1f(nx) = +∞ for everyx εI∞, and Σ∞n = 1f(nx) >+∞ for almost every xεIf. The function f may be taken to be the characteristic function of an open set E.
Let φ(n) be the Euler function (i.e., φ(n) denotes the number of integers less than n which are relatively prime to n), and define
These functions were extensively studied by several mathematicians. One of the problems investigated concerns their sign changes. We say that a function fx) has a sign change at x = x0 if f(x0 −) f(x0 +) < 0, and f(x) has a sign change on the integer n if (n)f(n+1) < 0. The numbers of sign changes and sign changes on integers of f(x) in the interval [1, T] are denoted by Xf(T) and Nf(T), respectively.