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Related papers: Insertion algorithms for Gelfand $S_n$-graphs

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We prove that the Bowen-Franks group classifies the Leavitt path algebras of purely infinite simple finite graphs over a regular supercoherent commutative ring with involution where $2$ is invertible, equipped with their standard…

Rings and Algebras · Mathematics 2021-07-13 Guillermo Cortiñas

There exist certain intrinsic relations between the ultraviolet divergent graphs and the convergent ones at the same loop order in renormalizable quantum field theories. Whereupon we present a new method, the inserter regularization method,…

High Energy Physics - Theory · Physics 2007-05-23 Han-Ying Guo , Yu Cai , Hong-Bo Teng

In this paper, we propose a general procedure for establishing the geometric landscape connections of a Riemannian optimization problem under the embedded and quotient geometries. By applying the general procedure to the fixed-rank positive…

Optimization and Control · Mathematics 2023-04-12 Yuetian Luo , Xudong Li , Anru R. Zhang

Algorithms for embedding certain types of nilpotent subalgebras in maximal subalgebras of the same type are developed, using methods of real algebraic groups. These algorithms are applied to determine non-conjugate subalgebras of the…

Representation Theory · Mathematics 2017-05-09 Sajid Ali , Hassan Azad , Indranil Biswas , Ryad Ghanam , Tahir Mustafa

In Schiebinger et al. (2017), the authors use optimal transport of measures on empirical distributions arising from biological experiments to relate the single cell RNA sequencing profiles for induced pluripotent stem cells differentiating.…

Quantitative Methods · Quantitative Biology 2017-10-23 Salil Bhate

The stabilization algorithm of Weisfeiler and Leman has as an input any square matrix A of order n and returns the minimal cellular (coherent) algebra W(A) which includes A. In case when A=A(G) is the adjacency matrix of a graph G the…

Combinatorics · Mathematics 2010-02-10 Luitpold Babel , Irina V. Chuvaeva , Mikhail Klin , Dmitrii V. Pasechnik

Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications. We propose the systematic use of symmetric spaces in representation learning,…

Machine Learning · Computer Science 2021-06-10 Federico López , Beatrice Pozzetti , Steve Trettel , Michael Strube , Anna Wienhard

A Gelfand model for a semisimple algebra A over C is a complex linear representation that contains each irreducible representation of A with multiplicity exactly one. We give a method of constructing these models that works uniformly for a…

Representation Theory · Mathematics 2014-05-28 Tom Halverson , Mike Reeks

$W$-graphs, representing the multiplication action of the standard basis on the canonical basis in the Iwahori-Hecke algebra are introduced by Kazhdan and Lusztig. Marberg defined a generalized $W$-graph, the Gelfand W-graph, corresponding…

Combinatorics · Mathematics 2026-05-19 Zhiqiang Dai , Yifeng Zhang

Graph embedding is a central problem in social network analysis and many other applications, aiming to learn the vector representation for each node. While most existing approaches need to specify the neighborhood and the dependence form to…

Machine Learning · Computer Science 2018-06-06 Shupeng Gui , Xiangliang Zhang , Shuang Qiu , Mingrui Wu , Jieping Ye , Ji Liu

The partition algebra is an associative algebra with a basis of set-partition diagrams and multiplication given by diagram concatenation. It contains as subalgebras a large class of diagram algebras including the Brauer, planar partition,…

Representation Theory · Mathematics 2019-06-27 Tom Halverson , Theodore N. Jacobson

Given a finite group $G$ and two unitary $G$-representations $V$ and $W$, possible restrictions on Brouwer degrees of equivariant maps between representation spheres $S(V)$ and $S(W)$ are usually expressed in a form of congruences modulo…

Representation Theory · Mathematics 2017-06-12 Zalman Balanov , Mikhail Muzychuk , Hao-pin Wu

We present a full list of all representations of the special linear group $\mathrm{SL}_n$ over the complex numbers with complete intersection invariant ring, completing the classification of Shmelkin. For this task, we combine three…

Representation Theory · Mathematics 2018-12-06 Lukas Braun

We describe a new algorithm, termed subspace evolution and transfer (SET), for solving low-rank matrix completion problems. The algorithm takes as its input a subset of entries of a low-rank matrix, and outputs one low-rank matrix…

Information Theory · Computer Science 2015-05-19 Wei Dai , Olgica Milenkovic , Ely Kerman

We describe several algorithms for matrix completion and matrix approximation when only some of its entries are known. The approximation constraint can be any whose approximated solution is known for the full matrix. For low rank…

Numerical Analysis · Mathematics 2014-07-01 Gil Shabat , Yaniv Shmueli , Amir Averbuch

Using a generalization of the Schensted insertion algorithm to rc-graphs, we provide a Littlewood-Richardson rule for multiplying certain Schubert polynomials by Schur polynomials.

Combinatorics · Mathematics 2007-05-23 M. Kogan

In this paper we present a combinatorial proof of a relation between the generating functions of unicellular and bicellular maps. This relation is a consequence of the Schwinger-Dyson equation of matrix theory. Alternatively it can be…

Combinatorics · Mathematics 2013-01-31 Hillary S. W. Han , Christian M. Reidys

An involution in a Coxeter group has an associated set of involution words, a variation on reduced words. These words are saturated chains in a partial order first considered by Richardson and Springer in their study of symmetric varieties.…

Combinatorics · Mathematics 2019-06-27 Eric Marberg , Brendan Pawlowski

There is recent interest in compressing data sets for non-sequential settings, where lack of obvious orderings on their data space, require notions of data equivalences to be considered. For example, Varshney & Goyal (DCC, 2006) considered…

Data Structures and Algorithms · Computer Science 2012-10-16 Fabian Lim

The success of kernel methods has initiated the design of novel positive semidefinite functions, in particular for structured data. A leading design paradigm for this is the convolution kernel, which decomposes structured objects into their…

Machine Learning · Computer Science 2017-02-01 Nils M. Kriege , Pierre-Louis Giscard , Richard C. Wilson