English
Related papers

Related papers: Precise asymptotics for large deviations of integr…

200 papers

The aim of this paper is to get asymptotic deviation bounds via a Large Deviation Principle (LDP) for cumulative processes also known as compound renewal processes or renewal-reward processes. These processes cumulate independent random…

Probability · Mathematics 2023-06-21 Patrick Cattiaux , Laetitia Colombani , Manon Costa

In this paper we study the probability $\xi_n(u):={\mathbb P}\left(C_n\geqslant u n \right)$, with $C_n:=A(\psi_n B(\varphi_n))$ for L\'{e}vy processes $A(\cdot)$ and $B(\cdot)$, and $\varphi_n$ and $\psi_n$ non-negative sequences such that…

Probability · Mathematics 2019-03-06 Mariska Heemskerk , Michel Mandjes

We examine the large-time behavior of axisymmetric solutions without swirl of the Navier--Stokes equation in $\mathbb{R}^3$. We construct higher-order asymptotic expansions for the corresponding vorticity. The appeal of this work lies in…

Analysis of PDEs · Mathematics 2023-11-08 Christian Seis , Dominik Winkler

Exact formulas are derived for the probability density functions of the sum and difference of two independent non-central gamma distributed random variables, with both series and integral representations of the density presented. These…

Probability · Mathematics 2026-05-18 Robert E. Gaunt , Heather L. Sutcliffe

Asymptotic expansions are obtained for contour integrals of the form \[ \int_a^b \exp \left( - zp(t) + z^{\nu /\mu } r(t) \right)q(t)dt, \] in which $z$ is a large real or complex parameter, $p(t)$, $q(t)$ and $r(t)$ are analytic functions…

Classical Analysis and ODEs · Mathematics 2020-03-16 Gergő Nemes

In this short note we study the asymptotic behaviour of the minima over compact intervals of Gaussian processes, whose paths are not necessarily smooth. We show that, beyond the logarithmic large deviation Gaussian estimates, this problem…

Probability · Mathematics 2019-08-27 Zhixin Wu , Arijit Chakrabarty , Gennady Samorodnitsky

We explicitly construct global strict Lyapunov functions for rapidly time-varying nonlinear control systems. The Lyapunov functions we construct are expressed in terms of oftentimes more readily available Lyapunov functions for the limiting…

Optimization and Control · Mathematics 2007-05-23 Frederic Mazenc , Michael Malisoff , Marcio S. de Queiroz

The generating function which counts partitions with the Plancherel measure (and its q-deformed version), can be rewritten as a matrix integral, which allows to compute its asymptotic expansion to all orders. There are applications in…

Mathematical Physics · Physics 2008-12-18 Bertrand Eynard

The discrete Chebyshev polynomials $t_n(x,N)$ are orthogonal with respect to a distribution function, which is a step function with jumps one unit at the points $x=0,1,..., N-1$, N being a fixed positive integer. By using a double integral…

Classical Analysis and ODEs · Mathematics 2011-10-14 J. H. Pan , R. Wong

An explicit sufficient condition on the hypercontractivity is derived for the Markov semigroup associated to a class of functional stochastic differential equations. Consequently, the semigroup $P_t$ converges exponentially to its unique…

Probability · Mathematics 2014-09-19 Jianhai Bao , Feng-Yu Wang , Chenggui Yuan

We consider a non-stationary Cox-Ingersoll-Ross process. We establish a sharp large deviation principle for the maximum likelihood estimator of its drift parameter.

Probability · Mathematics 2018-06-22 marie du Roy de Chaumaray

We prove existence of (at most denumerable many) absolutely continuous invariant probability measures for random one-dimensional dynamical systems with asymptotic expansion. If the rate of expansion (Lyapunov exponents) is bounded away from…

Dynamical Systems · Mathematics 2014-11-18 Vitor Araujo , Javier Solano

Formal asymptotics are substantiated that describe typical dropping cusp singularity of quasiclassical approximations to solutions of two cases of the integrable nonlinear Schr\"odinger equation…

Mathematical Physics · Physics 2023-11-17 Sergej Melikhov , Bulat Suleimanov , Azamat Shavlukov

Time-irreversible stochastic processes are frequently used in natural sciences to explain non-equilibrium phenomena and to design efficient stochastic algorithms. Our main goal in this thesis is to analyse their dynamics by means of large…

Probability · Mathematics 2021-09-21 Mikola C. Schlottke

We use a semi-Markov process method to calculate large deviations of counting statistics for three open quantum systems, including a resonant two-level system and resonant three-level systems in the $\Lambda$- and $V$-configurations. In the…

Statistical Mechanics · Physics 2023-12-15 Fei Liu

The elementary resolution of singularities algorithm of the author's earlier paper (math.CA/0609217) is developed further, replacing the quasibump functions in the blown up coordinates with the characteristic function of a rectangle times a…

Classical Analysis and ODEs · Mathematics 2008-09-21 Michael Greenblatt

We present the asymptotic distribution theory for a class of increment-based estimators of the fractal dimension of a random field of the form g{X(t)}, where g:R\to R is an unknown smooth function and X(t) is a real-valued stationary…

Statistics Theory · Mathematics 2007-06-13 Grace Chan , Andrew T. A. Wood

In [Temme N.M., Special functions. An introduction to the classical functions of mathematical physics, A Wiley-Interscience Publication, John Wiley & Sons, Inc., New York, 1996, Section 11.3.3.1] a uniform asymptotic expansion for the…

Classical Analysis and ODEs · Mathematics 2016-10-26 Gergő Nemes , Adri B. Olde Daalhuis

We study the distribution of the exponential functional $I(\xi,\eta)=\int_0^{\infty} \exp(\xi_{t-}) \d \eta_t$, where $\xi$ and $\eta$ are independent L\'evy processes. In the general setting using the theories of Markov processes and…

Probability · Mathematics 2020-07-07 A. Kuznetsov , J. C. Pardo , M. Savov

Let $\Xi_n \subset \mathbb R^d$, $n\ge 1$, be a sequence of finite sets and consider a $\Xi_n$-valued, irreducible, reversible, continuous-time Markov chain $(X^{(n)}_t:t\ge 0)$. Denote by $\mathscr P(\mathbb R^d) $ the set of probability…

Probability · Mathematics 2025-12-09 Claudio Landim , Ricardo Misturini , Federico Sau