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This paper is a brief review of recent developments in random matrix theory. Two aspects are emphasized: the underlying role of integrable systems and the occurrence of the distribution functions of random matrix theory in diverse areas of…

Mathematical Physics · Physics 2007-05-23 Craig A. Tracy , Harold Widom

We present an overview of some results about characterization of compactness in which the concept of approximation scheme has had a role. In particular, we present several results that were proved by the second author, jointly with Luther,…

Functional Analysis · Mathematics 2013-11-12 A. G. Aksoy , J. M. Almira

The second edition of the book "Roos, Stynes, Tobiska -- Robust Numerical Methods for Singularly Perturbed Differential Equations" appeared many years ago and was for many years a reliable guide into the world of numerical methods for…

Numerical Analysis · Mathematics 2022-09-08 Hans-Görg Roos

Consider a binary string $x$ of length $n$ whose Kolmogorov complexity is $\alpha n$ for some $\alpha<1$. We want to increase the complexity of $x$ by changing a small fraction of bits in $x$. This is always possible: Buhrman, Fortnow,…

Information Theory · Computer Science 2019-01-17 Gleb Posobin , Alexander Shen

This expository essay introduces randomness and computation to a lay audience.

Computational Complexity · Computer Science 2010-07-13 David Zuckerman

For Kolmogorov test we find natural conditions of uniform consistency of sets of alternatives approaching to hypothesis. Sets of alternatives can be defined both in terms of distribution functions and in terms of densities.

Statistics Theory · Mathematics 2022-11-28 Mikhail Ermakov

This paper has two parts. First, we complete the proof of the Kolmogorov extension theorem for unbounded random variables using compactness theorem of integral logic which was proved for bounded case in [8]. Second, we give a proof of the…

Logic · Mathematics 2015-09-22 Seyed-Mohammad Bagheri , Karim Khanaki

In this paper we study the complexity of solving a problem when a solution of a similar instance is known. This problem is relevant whenever instances may change from time to time, and known solutions may not remain valid after the change.…

Computational Complexity · Computer Science 2007-05-23 Paolo Liberatore

Probability theory is fundamental for modeling uncertainty, with traditional probabilities being real and non-negative. Complex probability extends this concept by allowing complex-valued probabilities, opening new avenues for analysis in…

Information Theory · Computer Science 2025-03-07 Chan Li , Hejun Xu , Zhu Cao

We consider dynamical systems for which the spatial extension plays an important role. For these systems, the notions of attractor, epsilon-entropy and topological entropy per unit time and volume have been introduced previously. In this…

Dynamical Systems · Mathematics 2009-11-11 Claudio Bonanno , Pierre Collet

We present a complexity measure for any finite time series. This measure has invariance under any monotonic transformation of the time series, has a degree of robustness against noise, and has the adaptability of satisfying almost all the…

Chaotic Dynamics · Physics 2008-11-25 Da-Guan Ke , Qin-Ye Tong

The drawbacks in the formulations of random infinite divisibility in Sandhya (1991, 1996), Gnedenko and Korelev (1996), Klebanov and Rachev (1996), Bunge (1996) and Kozubowski and Panorska (1996) are pointed out. For any given Laplace…

Probability · Mathematics 2007-06-13 S. Satheesh

There are many books on the classical subject of special relativity. However, after having spent a number of years, both in relativistic engineering and research with relativity, I have come to the conclusion that there exist a place for a…

Classical Physics · Physics 2026-03-26 Evgeny Saldin

We study algorithmic randomness and monotone complexity on product of the set of infinite binary sequences. We explore the following problems: monotone complexity on product space, Lambalgen's theorem for correlated probability,…

Information Theory · Computer Science 2010-06-29 Hayato Takahashi

The use of algorithmic information theory (Kolmogorov complexity theory) to explain the relation between mathematical probability theory and `real world' is discussed.

History and Overview · Mathematics 2015-05-13 Alexander Shen

Non-compact symmetries cannot be fully broken by randomness since non-compact groups have no invariant probability distributions. In particular, this makes trickier the "Copernican" random choice of the place of the observer in infinite…

General Relativity and Quantum Cosmology · Physics 2026-02-17 Leonid A. Levin

Lower bounds for the R\'enyi entropies of sums of independent random variables taking values in cyclic groups of prime order under permutations are established. The main ingredients of our approach are extended rearrangement inequalities in…

Combinatorics · Mathematics 2021-10-20 Mokshay Madiman , Liyao Wang , Jae Oh Woo

The present paper extends the earlier results obtained by Abramov [`Conditions for recurrence and transience for time-inhomogeneous birth-and-death processes' \emph{Bull. Aust. Math. Soc.} \textbf{109} (2024), 393--402] for the case of…

Probability · Mathematics 2024-04-24 Vyacheslav M. Abramov

The manual contains (in Russian) solutions of 230 problems that were used by the author for a number of years at the tutorial seminars in the first year undergraduate course in Mechanics and special relativity at Novosibirsk State…

Physics Education · Physics 2018-05-14 Z. K. Silagadze

We develop a theory of complexity for numerical computations that takes into account the condition of the input data and allows for roundoff in the computations. We follow the lines of the theory developed by Blum, Shub, and Smale for…

Computational Complexity · Computer Science 2014-06-09 Felipe Cucker