Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014

Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014

In this discussion, we indicate possibilities for (homological and non-homological) linearization of basic notions of the probability theory and also for replacing the real numbers as values of probabilities by objects of suitable combinatorial categories.

Bibliographic Details
Main Author: Misha Gromov
Format: Article
Language:English
Published: MDPI AG 2015-03-01
Series:Entropy
Subjects:
entropy
Bernoulli approximation
homology measures
Online Access:http://www.mdpi.com/1099-4300/17/3/1273
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spelling doaj-d75d69980d254a239575840e5d282ca32020-11-25T00:15:20ZengMDPI AGEntropy1099-43002015-03-011731273127710.3390/e17031273e17031273Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014Misha Gromov0Institut Hautes Études Scientifiques, 35, Route de Chartres, F-91440 Bures-sur-Yvette, FranceIn this discussion, we indicate possibilities for (homological and non-homological) linearization of basic notions of the probability theory and also for replacing the real numbers as values of probabilities by objects of suitable combinatorial categories.http://www.mdpi.com/1099-4300/17/3/1273entropyBernoulli approximationhomology measures
collection DOAJ
language English
format Article
sources DOAJ
author Misha Gromov
spellingShingle Misha Gromov
Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
Entropy
entropy
Bernoulli approximation
homology measures
author_facet Misha Gromov
author_sort Misha Gromov
title Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
title_short Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
title_full Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
title_fullStr Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
title_full_unstemmed Symmetry, Probabiliy, Entropy: Synopsis of the Lecture at MAXENT 2014
title_sort symmetry, probabiliy, entropy: synopsis of the lecture at maxent 2014
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2015-03-01
description In this discussion, we indicate possibilities for (homological and non-homological) linearization of basic notions of the probability theory and also for replacing the real numbers as values of probabilities by objects of suitable combinatorial categories.
topic entropy
Bernoulli approximation
homology measures
url http://www.mdpi.com/1099-4300/17/3/1273
work_keys_str_mv AT mishagromov symmetryprobabiliyentropysynopsisofthelectureatmaxent2014
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