Related papers: Noether
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In this article we review the past, present, and future of the Loschmidt Echo.
This article gives a brief survey of the theory and applications of anomalies.
This is an expository article/encyclopedia entry explaining the history, techniques, and central results in the field of smooth ergodic theory.
A new core hypothesis on laughter is presented. It has been built by putting together ideas from several disciplines: neurodynamics, evolutionary neurobiology, paleoanthropology, social networks, and communication studies. The hypothesis…
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We briefly summarize the BRITE observations of classical Cepheids so far.
This brief note, written for non-specialists, aims at drawing an introductive overview of the multiverse issue.
Using geometric homology and cohomology we give a simple and conceptual proof of the Thom isomorphism theorem.
A new kind of diagrams is presented, showing the causal structure of bimetric interactions.
In this talk, some aspects of duality symmetries are presented.
We discuss representations of monogenic functions over very regular groups.
We point out a simple characterisation of topological amenability in terms of bounded cohomology, following Johnson's reformulation of amenability.
We give the first L_1-sketching algorithm for integer vectors which produces nearly optimal sized sketches in nearly linear time. This answers the first open problem in the list of open problems from the 2006 IITK Workshop on Algorithms for…
We improve constants in the Rademacher-Menchov inequality.
We give a brief exposition of the color dipole picture of deep inelastic scattering.
We will give several reduction theorems for Noether's problem.
Astrobiology has been gaining increasing scientific prominence and public attention as the search for life beyond Earth continues to make significant headway on multiple fronts. In view of these recent developments, the fascinating and…
In Noether's original presentation of her celebrated theorm of 1918 allowance was made for the dependence of the coefficient functions of the differential operator which generated the infinitesimal transformation of the Action Integral upon…
We propose a neural embedding algorithm called Network Vector, which learns distributed representations of nodes and the entire networks simultaneously. By embedding networks in a low-dimensional space, the algorithm allows us to compare…