1,578 research outputs found
Stochastic higher spin six vertex model and Macdonald measures
We prove an identity that relates the q-Laplace transform of the height function of a (higher spin inhomogeneous) stochastic six vertex model in a quadrant on one side and a multiplicative functional of a Macdonald measure on the other. The identity is used to prove the GUE Tracy-Widom asymptotics for two instances of the stochastic six vertex model via asymptotic analysis of the corresponding Schur measures.National Science Foundation (U.S.) (Grant DMS-1056390)National Science Foundation (U.S.) (Grant DMS-1607901
On a conjecture of Widom
We prove a conjecture of H.Widom stated in [W] (math/0108008) about the
reality of eigenvalues of certain infinite matrices arising in asymptotic
analysis of large Toeplitz determinants. As a byproduct we obtain a new proof
of A.Okounkov's formula for the (determinantal) correlation functions of the
Schur measures on partitions.Comment: 9 page
Factorizations of Rational Matrix Functions with Application to Discrete Isomonodromic Transformations and Difference Painlev\'e Equations
We study factorizations of rational matrix functions with simple poles on the
Riemann sphere. For the quadratic case (two poles) we show, using
multiplicative representations of such matrix functions, that a good coordinate
system on this space is given by a mix of residue eigenvectors of the matrix
and its inverse. Our approach is motivated by the theory of discrete
isomonodromic transformations and their relationship with difference Painlev\'e
equations. In particular, in these coordinates, basic isomonodromic
transformations take the form of the discrete Euler-Lagrange equations.
Secondly we show that dPV equations, previously obtained in this context by D.
Arinkin and A. Borodin, can be understood as simple relationships between the
residues of such matrices and their inverses.Comment: 9 pages; minor typos fixed, journal reference adde
Airy processes and variational problems
We review the Airy processes; their formulation and how they are conjectured
to govern the large time, large distance spatial fluctuations of one
dimensional random growth models. We also describe formulas which express the
probabilities that they lie below a given curve as Fredholm determinants of
certain boundary value operators, and the several applications of these
formulas to variational problems involving Airy processes that arise in
physical problems, as well as to their local behaviour.Comment: Minor corrections. 41 pages, 4 figures. To appear as chapter in "PASI
Proceedings: Topics in percolative and disordered systems
Evaluating the effectiveness of companies using the DEA method
The paper assesses the effectiveness of Russian oil and gas companies. It is hypothesized that the DEA method for evaluating the effectiveness of companies gives the most accurate results compared to the method based on profitability coefficients and allows you to determine the individual and industry-wide effectiveness of companie
From interacting particle systems to random matrices
In this contribution we consider stochastic growth models in the
Kardar-Parisi-Zhang universality class in 1+1 dimension. We discuss the large
time distribution and processes and their dependence on the class on initial
condition. This means that the scaling exponents do not uniquely determine the
large time surface statistics, but one has to further divide into subclasses.
Some of the fluctuation laws were first discovered in random matrix models.
Moreover, the limit process for curved limit shape turned out to show up in a
dynamical version of hermitian random matrices, but this analogy does not
extend to the case of symmetric matrices. Therefore the connections between
growth models and random matrices is only partial.Comment: 18 pages, 8 figures; Contribution to StatPhys24 special issue; minor
corrections in scaling of section 2.
The impact of the publication of non-financial statements on the financial performance of companies with the identification of interpectoral features
The purpose of this article is to study the impact of the publication of non-financial statements on the financial performance of Russian companies with the identification of intersectoral feature
Sociocultural Component in the Content of Teaching Foreign Languages to Pre-school Children
The paper is aimed at studying efficiency of learning languages by pre-school children. Different types of memory that are at high level of its development at this age promote children's abilities to acquire languages. Also psychologically, pre-school children are fit to develop speech and communication skills by using adequate materials and tasks. A set of criteria are evaluated to introduce socio-cultural content for promoting effective language learning
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