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We study the joint distribution of the input sum and the output sum of a deterministic transducer. Here, the input of this finite-state machine is a uniformly distributed random sequence. We give a simple combinatorial characterization of…

Combinatorics · Mathematics 2015-04-14 Clemens Heuberger , Sara Kropf , Stephan Wagner

In analogy to the well-known notion of finite--state compressibility of individual sequences, due to Lempel and Ziv, we define a similar notion of "finite-state encryptability" of an individual plaintext sequence, as the minimum asymptotic…

Information Theory · Computer Science 2012-01-10 Neri Merhav

Words are sequences of letters over a finite alphabet. We study two intimately related topics for this object: quasi-randomness and limit theory. With respect to the first topic we investigate the notion of uniform distribution of letters…

Combinatorics · Mathematics 2021-09-01 Hiêp Hàn , Marcos Kiwi , Matías Pavez-Signé

We extend our program, of coupling theories to scale in order to make their Weyl invariance manifest, to include interacting theories, fermions and supersymmetric theories. The results produce mass terms coinciding with the standard ones…

High Energy Physics - Theory · Physics 2014-11-20 Abrar Shaukat , Andrew Waldron

The study of the behavior of solutions of ODEs often benefits from deciding on a convenient choice of coordinates. This choice of coordinates may be used to "simplify" the functional expressions that appear in the vector field in order that…

Optimization and Control · Mathematics 2013-04-01 Boumediene Hamzi , Jeroen S. W. Lamb , Debra Lewis

Sequential quantile estimation refers to incorporating observations into quantile estimates in an incremental fashion thus furnishing an online estimate of one or more quantiles at any given point in time. Sequential quantile estimation is…

Computation · Statistics 2017-03-07 Michael Stephanou , Melvin Varughese , Iain Macdonald

We develop a toolbox for exact analysis of iterative algorithms on a class of high-dimensional nonconvex optimization problems with random data. While prior work has shown that low-dimensional statistics of (generalized) first-order methods…

Statistics Theory · Mathematics 2025-07-29 Michael Celentano , Chen Cheng , Ashwin Pananjady , Kabir Aladin Verchand

Mean-field limits have been used now as a standard tool in approximations, including for networks with a large number of nodes. Statistical inference on mean-filed models has attracted more attention recently mainly due to the rapid…

Statistics Theory · Mathematics 2024-11-21 Ioannis Lambadaris , Ahmed Sid-Ali , Wei Sun , Yiqiang Q. Zhao

We establish sharp bounds for the Hausdorff dimension of sets of irrational numbers in $(0,1)$ whose digits in the $N$-expansion are either uniformly bounded or tend to infinity. For sets with digits bounded by an integer $M \ge N$, we…

Number Theory · Mathematics 2026-03-31 Andreea Catalina Chitu , Gabriela Ileana Sebe , Dan Lascu

Multiparametric statistical model providing stable reconstruction of parameters by observations is considered. The only general method of this kind is the root model based on the representation of the probability density as a squared…

Quantum Physics · Physics 2009-11-10 Yu. I. Bogdanov

For a fixed alphabet A, an infinite sequence X is said to be normal if every word w over A appears in X with the same frequency as any other word of the same length. A classical result relates normality to finite automata as follows: a…

Formal Languages and Automata Theory · Computer Science 2026-04-15 Laurent Bienvenu , Santiago Cifuentes , Hugo Gimbert

In this paper, we focus on the strong subconvexity bounds for triple product L-functions in the cubic level aspect. Our proof on the Weyl-type bound synthesizes techniques from classical analytic number theory with methods in automorphic…

Number Theory · Mathematics 2025-08-20 Xinchen Miao , Huimin Zhang

We obtain a central limit theorem for bulk counting statistics of free fermions in smooth domains of $\mathbb{R}^n$ with an explicit description of the covariance structure. This amounts to a study of the asymptotics of norms of commutators…

Spectral Theory · Mathematics 2024-05-14 Alix Deleporte , Gaultier Lambert

Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages $L$ that assign to each word $w$ a real number $L(w)$. In the case of infinite words, the value of a run is…

Logic in Computer Science · Computer Science 2009-05-15 Krishnendu Chatterjee , Laurent Doyen , Thomas A. Henzinger

The parametric complexity is the key quantity in the minimum description length (MDL) approach to statistical model selection. Rissanen and others have shown that the parametric complexity of a statistical model approaches a simple function…

Information Theory · Computer Science 2015-10-30 James G. Dowty

A nonparametric variant of the Kiefer--Weiss problem is proposed and investigated. In analogy to the classical Kiefer--Weiss problem, the objective is to minimize the maximum expected sample size of a sequential test. However, instead of…

Statistics Theory · Mathematics 2020-10-26 Michael Fauß , H. Vincent Poor

This paper examines information-theoretic questions regarding the difficulty of compressing data versus the difficulty of decompressing data and the role that information loss plays in this interaction. Finite-state compression and…

Computational Complexity · Computer Science 2009-09-29 David Doty , Philippe Moser

Topological Weyl semimetals, besides manifesting chiral anomaly, can also accommodate a disorder-driven unconventional quantum phase transition into a metallic phase. A fundamentally and practically important question in this regard…

Mesoscale and Nanoscale Physics · Physics 2016-09-15 Bitan Roy , Vladimir Juricic , Sankar Das Sarma

In this paper, we present the results of a computer investigation of asymptotics for maximum dimensions of linear and projective representations of the symmetric group. This problem reduces to the investigation of standard and strict Young…

Combinatorics · Mathematics 2020-06-19 Vasilii Duzhin , Nikolay Vasilyev

Distance covariance is a popular dependence measure for two random vectors $X$ and $Y$ of possibly different dimensions and types. Recent years have witnessed concentrated efforts in the literature to understand the distributional…

Statistics Theory · Mathematics 2024-08-05 Qiyang Han , Yandi Shen
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