73,834 research outputs found
Limits of permutation sequences
A permutation sequence is said to be convergent if the density of occurrences
of every fixed permutation in the elements of the sequence converges. We prove
that such a convergent sequence has a natural limit object, namely a Lebesgue
measurable function with the additional properties that,
for every fixed , the restriction is a cumulative
distribution function and, for every , the restriction
satisfies a "mass" condition. This limit process is well-behaved:
every function in the class of limit objects is a limit of some permutation
sequence, and two of these functions are limits of the same sequence if and
only if they are equal almost everywhere. An ingredient in the proofs is a new
model of random permutations, which generalizes previous models and might be
interesting for its own sake.Comment: accepted for publication in the Journal of Combinatorial Theory,
Series B. arXiv admin note: text overlap with arXiv:1106.166
Surface tension in the dilute Ising model. The Wulff construction
We study the surface tension and the phenomenon of phase coexistence for the
Ising model on \mathbbm{Z}^d () with ferromagnetic but random
couplings. We prove the convergence in probability (with respect to random
couplings) of surface tension and analyze its large deviations : upper
deviations occur at volume order while lower deviations occur at surface order.
We study the asymptotics of surface tension at low temperatures and relate the
quenched value of surface tension to maximal flows (first passage
times if ). For a broad class of distributions of the couplings we show
that the inequality -- where is the surface
tension under the averaged Gibbs measure -- is strict at low temperatures. We
also describe the phenomenon of phase coexistence in the dilute Ising model and
discuss some of the consequences of the media randomness. All of our results
hold as well for the dilute Potts and random cluster models
Fourier transform of self-affine measures
Suppose is a self-affine set on , , which is not a
singleton, associated to affine contractions , , , , for
some finite . We prove that if the group generated by the
matrices , , forms a proximal and totally irreducible
subgroup of , then any self-affine measure , , , , on
is a Rajchman measure: the Fourier transform as
. As an application this shows that self-affine sets with
proximal and totally irreducible linear parts are sets of rectangular
multiplicity for multiple trigonometric series. Moreover, if the Zariski
closure of is connected real split Lie group in the Zariski topology,
then has a power decay at infinity. Hence is
improving for all and has positive Fourier dimension. In
dimension the irreducibility of and non-compactness of the
image of in is enough for power decay of
. The proof is based on quantitative renewal theorems for random
walks on the sphere .Comment: v2: 27 pages, updated references. Accepted to Advances in Mat
Non-homogeneous polygonal Markov fields in the plane: graphical representations and geometry of higher order correlations
We consider polygonal Markov fields originally introduced by Arak and
Surgailis (1989). Our attention is focused on fields with nodes of order two,
which can be regarded as continuum ensembles of non-intersecting contours in
the plane, sharing a number of features with the two-dimensional Ising model.
We introduce non-homogeneous version of polygonal fields in anisotropic
enviroment. For these fields we provide a class of new graphical constructions
and random dynamics. These include a generalised dynamic representation,
generalised and defective disagreement loop dynamics as well as a generalised
contour birth and death dynamics. Next, we use these constructions as tools to
obtain new exact results on the geometry of higher order correlations of
polygonal Markov fields in their consistent regime.Comment: 54 page
A Note on Kuhn's Theorem with Ambiguity Averse Players
Kuhn's Theorem shows that extensive games with perfect recall can
equivalently be analyzed using mixed or behavioral strategies, as long as
players are expected utility maximizers. This note constructs an example that
illustrate the limits of Kuhn's Theorem in an environment with ambiguity averse
players who use maxmin decision rule and full Bayesian updating.Comment: 7 figure
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