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Related papers: Introduction to the Rapid Decay property

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Small model property is an important property that implies decidability. We show that the small model size is directly related to some important resources in games and automata for checking provability.

Logic in Computer Science · Computer Science 2021-11-05 Maciej Zielenkiewicz

By ascribing a complex anticommuting variable $\zeta$ to each basic {\em property} of a field, it is possible to describe all the fundamental particles as combinations of only five $\zeta$ and understand the occurrence of particle…

High Energy Physics - Theory · Physics 2008-11-26 R. Delbourgo

A continuous approximation for the results of [1] is obtained. In this approximation the energy distribution is represented in the form of the product of the Gibbs factor and superstatistics factor. The mutual weights of the factors are…

Chemical Physics · Physics 2007-05-23 V. V. Ryazanov

These are lecture notes for a simple minicourse approaching the satistical properties of a dynamical system by the study of the associated transfer operator (considered on a suitable functions or measures spaces). The following questions…

Dynamical Systems · Mathematics 2022-11-15 Stefano Galatolo

We study a concept of evasion and prediction associated with slaloms, called slalom prediction. This article collects ZFC-provable properties on the slalom prediction.

Logic · Mathematics 2025-03-06 Takashi Yamazoe

The critical behavior of the random field $O(N)$ model driven at a uniform velocity is investigated at zero-temperature. From naive phenomenological arguments, we introduce a dimensional reduction property, which relates the large-scale…

Statistical Mechanics · Physics 2017-11-22 Taiki Haga

There is knowledge. There is belief. And there is tacit agreement.' 'We may talk about objects. We may talk about attributes of the objects. Or we may talk both about objects and their attributes.' This work inspects tacit agreements on…

Artificial Intelligence · Computer Science 2014-04-25 Ryuta Arisaka

This is a review of some of the interesting properties of the Riemann Zeta Function.

History and Overview · Mathematics 2018-12-07 Johar M. Ashfaque

In this research, methods of reducing a general periodic one-dimensional hopping model to a one- or two-state model, which keeps the basic properties of the original process, are discussed. This reduction also implies that, to some extent,…

Mathematical Physics · Physics 2011-05-06 Yunxin Zhang

Learning rate decay (lrDecay) is a \emph{de facto} technique for training modern neural networks. It starts with a large learning rate and then decays it multiple times. It is empirically observed to help both optimization and…

Machine Learning · Computer Science 2019-09-27 Kaichao You , Mingsheng Long , Jianmin Wang , Michael I. Jordan

Studying Fermat sequence we can simply find infinitely many other rapidly growing sequences of similar properties. On the other hand this approach allows us simple construction of such sequences.

General Mathematics · Mathematics 2007-05-23 Drastich Stanislav

The Northcott property for special values of Dedekind zeta functions and more general motivic $L$-functions was defined by Pazuki and Pengo. We investigate this property for any complex evaluation of Dedekind zeta functions. The results are…

Number Theory · Mathematics 2022-09-29 Xavier Généreux , Matilde Lalín

In this book we collect many different and useful facts around gradient descent method. First of all we consider gradient descent with inexact oracle. We build a general model of optimized function that include composite optimization…

Optimization and Control · Mathematics 2020-07-20 Alexander Gasnikov

Property A introduced by Guoliang Yu is an amenability-type property for metric spaces. In this article, we study property A for uniformly locally finite coarse spaces. Main examples of coarse spaces are a metric space, a set equipped with…

Metric Geometry · Mathematics 2013-03-29 Hiroki Sako

The reduction of dynamical systems has a rich history, with many important applications related to stability, control and verification. Reduction of nonlinear systems is typically performed in an exact manner - as is the case with…

Optimization and Control · Mathematics 2007-07-26 Paulo Tabuada , Aaron D. Ames , Agung Julius , George J. Pappas

The stochastic gradient descent has been widely used for solving composite optimization problems in big data analyses. Many algorithms and convergence properties have been developed. The composite functions were convex primarily and…

Machine Learning · Statistics 2020-03-03 Takayuki Kawashima , Hironori Fujisawa

In our present investigation we propose to study and develop the I-function of two variables analogous to the I-function of one variable introduced and studied by one of the authors[24]. The conditions for convergence, series…

Complex Variables · Mathematics 2013-01-01 Shantha Kumari. K. , Vasudevan Nambisan T. M. , Arjun K. Rathie

We present a common framework to study decay and exchanges rates in a wide class of dynamical systems. Several applications, ranging form the metric theory of continuons fractions and the Shannon capacity of contrained systems to the decay…

Dynamical Systems · Mathematics 2015-05-13 Gerhard Keller , Carlangelo Liverani

We consider some natural generalizations to the class of all GLP-algebras of the so-called reduction property for reflection algebras in arithmetic. An analogue of this property is established for the free GLP-algebras and for some…

Logic · Mathematics 2016-06-02 L. D. Beklemishev

Person attributes are often exploited as mid-level human semantic information to help promote the performance of person re-identification task. In this paper, unlike most existing methods simply taking attribute learning as a classification…

Computer Vision and Pattern Recognition · Computer Science 2019-02-28 Shuzhao Li , Huimin Yu , Wei Huang , Jing Zhang