Steven R. Howard, Aaditya Ramdas, Jon D. McAuliffe, J. Sekhon
{"title":"Time-uniform Chernoff bounds via nonnegative supermartingales","authors":"Steven R. Howard, Aaditya Ramdas, Jon D. McAuliffe, J. Sekhon","doi":"10.1214/18-ps321","DOIUrl":"https://doi.org/10.1214/18-ps321","url":null,"abstract":"We develop a class of exponential bounds for the probability that a martingale sequence crosses a time-dependent linear threshold. Our key insight is that it is both natural and fruitful to formulate exponential concentration inequalities in this way. We illustrate this point by presenting a single assumption and theorem that together unify and strengthen many tail bounds for martingales, including classical inequalities (1960-80) by Bernstein, Bennett, Hoeffding, and Freedman; contemporary inequalities (1980-2000) by Shorack and Wellner, Pinelis, Blackwell, van de Geer, and de la Pe~na; and several modern inequalities (post-2000) by Khan, Tropp, Bercu and Touati, Delyon, and others. In each of these cases, we give the strongest and most general statements to date, quantifying the time-uniform concentration of scalar, matrix, and Banach-space-valued martingales, under a variety of nonparametric assumptions in discrete and continuous time. In doing so, we bridge the gap between existing line-crossing inequalities, the sequential probability ratio test, the Cram'er-Chernoff method, self-normalized processes, and other parts of the literature.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46546439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metastable Markov chains","authors":"C. Landim","doi":"10.1214/18-PS310","DOIUrl":"https://doi.org/10.1214/18-PS310","url":null,"abstract":"We review recent results on the metastable behavior of continuous-time Markov chains derived through the characterization of Markov chains as unique solutions of martingale problems.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48054704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Equivalences and counterexamples between several definitions of the uniform large deviations principle","authors":"M. Salins","doi":"10.1214/18-PS309","DOIUrl":"https://doi.org/10.1214/18-PS309","url":null,"abstract":"This paper explores the equivalences between four definitions of uniform large deviations principles and uniform Laplace principles found in the literature. Counterexamples are presented to illustrate the differences between these definitions and specific conditions are described under which these definitions are equivalent to each other. A fifth definition called the equicontinuous uniform Laplace principle (EULP) is proposed and proven to be equivalent to Freidlin and Wentzell's definition of a uniform large deviations principle. Sufficient conditions that imply a measurable function of infinite dimensional Wiener process satisfies an EULP using the variational methods of Budhiraja, Dupuis and Maroulas are presented. Finally, this theory is applied to prove that a family of Hilbert space valued stochastic equations exposed to multiplicative noise satisfy a uniform large deviations principle that is uniform over all initial conditions in bounded subsets of the Hilbert space.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2017-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43075438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Limits of random tree-like discrete structures","authors":"Benedikt Stufler","doi":"10.1214/19-ps338","DOIUrl":"https://doi.org/10.1214/19-ps338","url":null,"abstract":"We study a model of random $mathcal{R}$-enriched trees that is based on weights on the $mathcal{R}$-structures and allows for a unified treatment of a large family of random discrete structures. We establish distributional limits describing local convergence around fixed and random points in this general context, limit theorems for component sizes when $mathcal{R}$ is a composite class, and a Gromov--Hausdorff scaling limit of random metric spaces patched together from independently drawn metrics on the $mathcal{R}$-structures. Our main applications treat a selection of examples encompassed by this model. We consider random outerplanar maps sampled according to arbitrary weights assigned to their inner faces, and classify in complete generality distributional limits for both the asymptotic local behaviour near the root-edge and near a uniformly at random drawn vertex. We consider random connected graphs drawn according to weights assigned to their blocks and establish a Benjamini--Schramm limit. We also apply our framework to recover in a probabilistic way a central limit theorem for the size of the largest $2$-connected component in random graphs from planar-like classes. We prove Benjamini--Schramm convergence of random $k$-dimensional trees and establish both scaling limits and local weak limits for random planar maps drawn according to Boltzmann-weights assigned to their $2$-connected components.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2016-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66079960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Duminil-Copin, Maxime Gagnebin, Matan Harel, I. Manolescu, V. Tassion
{"title":"The Bethe ansatz for the six-vertex and XXZ models: An exposition","authors":"H. Duminil-Copin, Maxime Gagnebin, Matan Harel, I. Manolescu, V. Tassion","doi":"10.1214/17-PS292","DOIUrl":"https://doi.org/10.1214/17-PS292","url":null,"abstract":"In this paper, we review a few known facts on the coordinate Bethe ansatz. We present a detailed construction of the Bethe ansatz vector (psi) and energy (Lambda), which satisfy (V psi = Lambda psi), where (V) is the transfer matrix of the six-vertex model on a finite square lattice with periodic boundary conditions for weights (a= b=1) and (c > 0). We also show that the same vector (psi) satisfies (H psi = E psi), where (H) is the Hamiltonian of the XXZ model (which is the model for which the Bethe ansatz was first developed), with a value (E) computed explicitly. \u0000 \u0000Variants of this approach have become central techniques for the study of exactly solvable statistical mechanics models in both the physics and mathematics communities. Our aim in this paper is to provide a \u0000pedagogically-minded exposition of this construction, aimed at a mathematical audience. It also provides the opportunity to introduce the notation and framework which will be used in a subsequent paper by the authors [5] that amounts to proving that the random-cluster model on (mathbb{Z}^{2}) with cluster weight (q >4) exhibits a first-order phase transition. \u0000 \u0000","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2016-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1214/17-PS292","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66071434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Equidistribution, uniform distribution: a probabilist's perspective","authors":"V. Limic, Nedvzad Limi'c","doi":"10.1214/17-PS295","DOIUrl":"https://doi.org/10.1214/17-PS295","url":null,"abstract":"The theory of equidistribution is about hundred years old, and has been developed primarily by number theorists and theoretical computer scientists. A motivated uninitiated peer could encounter difficulties perusing the literature, due to various synonyms and polysemes used by different schools. One purpose of this note is to provide a short introduction for probabilists. We proceed by recalling a perspective originating in a work of the second author from 2002. Using it, various new examples of completely uniformly distributed (mathsf{mod}~1) sequences, in the “metric” (meaning almost sure stochastic) sense, can be easily exhibited. In particular, we point out natural generalizations of the original (p)-multiply equidistributed sequence (k^p, t {mathsf{mod}}~1), (kgeq1) (where (pinmathbb{N}) and (tin[0,1])), due to Hermann Weyl in 1916. In passing, we also derive a Weyl-like criterion for weakly completely equidistributed (also known as WCUD) sequences, of substantial recent interest in MCMC simulations. \u0000 \u0000The translation from number theory to probability language brings into focus a version of the strong law of large numbers for weakly correlated complex-valued random variables, the study of which was initiated by Weyl in the aforementioned manuscript, followed up by Davenport, Erdős and LeVeque in 1963, and greatly extended by Russell Lyons in 1988. In this context, an application to (infty)-distributed Koksma's numbers (t^k {mathsf{mod}}~1), (kgeq1) (where (tin[1,a]) for some (a>1)), and an important generalization by Niederreiter and Tichy from 1985 are discussed. \u0000 \u0000The paper contains negligible amount of new mathematics in the strict sense, but its perspective and open questions included in the end could be of considerable interest to probabilists and statisticians, as well as \u0000certain computer scientists and number theorists. \u0000 \u0000","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2016-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66071523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the scaling limits of weakly asymmetric bridges","authors":"C. Labb'e","doi":"10.1214/17-PS285","DOIUrl":"https://doi.org/10.1214/17-PS285","url":null,"abstract":"We consider a discrete bridge from ((0,0)) to ((2N,0)) evolving according to the corner growth dynamics, where the jump rates are subject to an upward asymmetry of order (N^{-alpha}) with (alphain(0,infty)). We provide a classification of the asymptotic behaviours - invariant measure, hydrodynamic limit and fluctuations - of this model according to the value of the parameter (alpha).<script type=\"text/javascript\"src=\"//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2016-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66071747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TASEP hydrodynamics using microscopic characteristics","authors":"P. Ferrari","doi":"10.1214/17-PS284","DOIUrl":"https://doi.org/10.1214/17-PS284","url":null,"abstract":"The convergence of the totally asymmetric simple exclusion process to the solution of the Burgers equation is a classical result. In his seminal 1981 paper, Herman Rost proved the convergence of the density fields and local equilibrium when the limiting solution of the equation is a rarefaction fan. An important tool of his proof is the subadditive ergodic theorem. We prove his results by showing how second class particles transport the rarefaction-fan solution, as characteristics do for the Burgers equation, avoiding subadditivity. Along the way we show laws of large numbers for tagged particles, fluxes and second class particles, and simplify existing proofs in the shock cases. The presentation is self contained.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1214/17-PS284","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66071545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From extreme values of i.i.d. random fields to extreme eigenvalues of finite-volume Anderson Hamiltonian","authors":"A. Astrauskas","doi":"10.1214/15-PS252","DOIUrl":"https://doi.org/10.1214/15-PS252","url":null,"abstract":"The aim of this paper is to study asymptotic geometric properties \u0000almost surely or/and in probability of extreme order statistics of an \u0000i.i.d. random field (potential) indexed by sites of multidimensional lattice \u0000cube, the volume of which unboundedly increases. We discuss the following \u0000topics: (I) high level exceedances, in particular, clustering of exceedances; \u0000(II) decay rate of spacings in comparison with increasing rate of extreme order \u0000statistics; (III) minimum of spacings of successive order statistics; (IV) \u0000asymptotic behavior of values neighboring to extremes and so on. The conditions \u0000of the results are formulated in terms of regular variation (RV) of \u0000the cumulative hazard function and its inverse. A relationship between RV \u0000classes of the present paper as well as their links to the well-known RV \u0000classes (including domains of attraction of max-stable distributions) are \u0000discussed. \u0000The asymptotic behavior of functionals (I)–(IV) determines the asymptotic \u0000structure of the top eigenvalues and the corresponding eigenfunctions \u0000of the large-volume discrete Schrodinger operators with an i.i.d. potential \u0000(Anderson Hamiltonian). Thus, another aim of the present paper is \u0000to review and comment a recent progress on the extreme value theory for \u0000eigenvalues of random Schrodinger operators as well as to provide a clear \u0000and rigorous understanding of the relationship between the top eigenvalues \u0000and extreme values of i.i.d. random potentials. We also discuss their links \u0000to the long-time intermittent behavior of the parabolic problems associated \u0000with the Anderson Hamiltonian via spectral representation of solutions.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2015-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1214/15-PS252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66046450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Current open questions in complete mixability","authors":"Ruodu Wang","doi":"10.1214/14-PS250","DOIUrl":"https://doi.org/10.1214/14-PS250","url":null,"abstract":"Complete and joint mixability has raised considerable interest \u0000in recent few years, in both the theory of distributions with given margins, \u0000and applications in discrete optimization and quantitative risk management. \u0000We list various open questions in the theory of complete and joint \u0000mixability, which are mathematically concrete, and yet accessible to a broad \u0000range of researchers without specific background knowledge. In addition to \u0000the discussions on open questions, some results contained in this paper are \u0000new.","PeriodicalId":46216,"journal":{"name":"Probability Surveys","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2014-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66028038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}