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We consider families of quasisymmetric functions with the property that if a symmetric function $f$ is a positive sum of functions in one of these families, then f is necessarily a positive sum of Schur functions. Furthermore, in each of…

Combinatorics · Mathematics 2015-08-31 Austin Roberts

Let $\Lambda_s$ denote the inhomogeneous Lipschitz space of order $s\in(0,\infty)$ on $\mathbb{R}^n$. This article characterizes the distance $d(f, V)_{\Lambda_s}: = \inf_{g\in V} \|f-g\|_{\Lambda_s}$ from a function $f\in \Lambda_s$ to a…

Functional Analysis · Mathematics 2025-09-01 Feng Dai , Eero Saksman , Dachun Yang , Wen Yuan , Yangyang Zhang

A very well known result by Harish-Chandra claims that any Hermitian symmetric space of non-compact type admits a canonical embedding into a complex vector space $V$. The image of this embedding is a bounded symmetric domain in $V$. This…

q-alg · Mathematics 2008-02-03 S. Sinel'shchikov , L. Vaksman

Composing two representations of the general linear groups gives rise to Littlewood's (outer) plethysm. On the level of characters, this poses the question of finding the Schur expansion of the plethysm of two Schur functions. A…

Combinatorics · Mathematics 2025-03-20 Laura Colmenarejo , Rosa Orellana , Franco Saliola , Anne Schilling , Mike Zabrocki

We prove that the morphisms from a minimal Sullivan algebra $\Lambda V$ to $A_{PL}(|\Lambda V|)$, the algebra of polynomial differential forms on its realization, can be quasi-isomorphic if and only if the cohomology $H(\Lambda V)$ is of…

Algebraic Topology · Mathematics 2024-09-26 Jiawei Zhou

We consider the well-known method of least squares on an equidistant grid with $N+1$ nodes on the interval $[-1,1]$ with the goal to approximate a function $f\in\mathcal{C}\left[-1,1\right]$ by a polynomial of degree $n$. We investigate the…

Numerical Analysis · Mathematics 2025-10-20 René Goertz

In the context of N. Brown's Hom(N,R^U), we establish that given \pi: N \rightarrow R^U, the dimension of the minimal face containing [\pi] is one less than the dimension of the center of the relative commutant of \pi. We also show the…

Operator Algebras · Mathematics 2016-08-30 Scott Atkinson

The aim of this note is to introduce a compound basis for the space of symmetric functions. Our basis consists of products of Schur functions and $Q$-functions. The basis elements are indexed by the partitions. It is well known that the…

Representation Theory · Mathematics 2007-05-23 Kazuya Aokage , Hiroshi Mizukawa , Hiro-Fumi Yamada

We produce a simple criterion and a constructive recipe to identify those self-adjoint extensions of a lower semi-bounded symmetric operator on Hilbert space which have the same lower bound as the Friedrichs extension. Applications of this…

Functional Analysis · Mathematics 2020-09-15 Matteo Gallone , Alessandro Michelangeli

We introduce the immersion poset $(\mathcal{P}(n), \leqslant_I)$ on partitions, defined by $\lambda \leqslant_I \mu$ if and only if $s_\mu(x_1, \ldots, x_N) - s_\lambda(x_1, \ldots, x_N)$ is monomial-positive. Relations in the immersion…

We present the basic elements of a generalization of symmetric function theory involving functions of commuting and anticommuting (Grassmannian) variables. These new functions, called symmetric functions in superspace, are invariant under…

Combinatorics · Mathematics 2012-08-13 Patrick Desrosiers , Luc Lapointe , Pierre Mathieu

In 2004 Rosas and Sagan asked whether there was a way to define a basis in the algebra of symmetric functions in noncommuting variables, NCSym, having properties analogous to the classical Schur functions. This was because they had…

Combinatorics · Mathematics 2022-06-07 Farid Aliniaeifard , Shu Xiao Li , Stephanie van Willigenburg

We study the question of local testability of low (constant) degree functions from a product domain $S_1 \times \dots \times {S}_n$ to a field $\mathbb{F}$, where ${S_i} \subseteq \mathbb{F}$ can be arbitrary constant sized sets. We show…

Computational Complexity · Computer Science 2024-11-12 Prashanth Amireddy , Srikanth Srinivasan , Madhu Sudan

We consider weakly null sequences in the Banach space of functions of bounded variation $\mathrm{BV}(\mathbb{R}^d)$. We prove that for any such sequence $\{f_n\}$ the jump parts of the gradients of functions $f_n$ tend to $0$ strongly as…

Functional Analysis · Mathematics 2024-07-01 Krystian Kazaniecki , Anton Tselishchev , Michał Wojciechowski

Recently we explained that the classical $Q$ Schur functions stand behind various well-known properties of the cubic Kontsevich model, and the next step is to ask what happens in this approach to the generalized Kontsevich model (GKM) with…

High Energy Physics - Theory · Physics 2021-07-01 A. Mironov , A. Morozov

We present a formulas to add a row or a column to the power, monomial, forgotten, Schur, homogeneous and elementary symmetric functions. As an application of these operators we show that the operator that adds a column to the Schur…

Combinatorics · Mathematics 2007-05-23 Mike Zabrocki

We exhibit a class of Schottky subgroups of $\mathbf{PU}(1,n)$ ($n \geq 2$) which we call well-positioned and show that the Hausdorff dimension of the limit set $\Lambda_\Gamma$ associated with such a subgroup $\Gamma$, with respect to the…

Dynamical Systems · Mathematics 2017-03-29 Laurent Dufloux

It is known that differences of symmetric functions corresponding to various bases are nonnegative on the nonnegative orthant exactly when the partitions defining them are comparable in dominance order. The only exception is the case of…

Combinatorics · Mathematics 2020-11-18 Alexander Heaton , Isabelle Shankar

FPSAC 2013 Extended Abstract. We introduce a new basis of the non-commutative symmetric functions whose elements have Schur functions as their commutative images. Dually, we build a basis of the quasi-symmetric functions which expand…

Combinatorics · Mathematics 2013-03-21 Chris Berg , Nantel Bergeron , Franco Saliola , Luis Serrano , Mike Zabrocki

We present a hierarchy of semidefinite programs (SDPs) for the problem of fitting a shape-constrained (multivariate) polynomial to noisy evaluations of an unknown shape-constrained function. These shape constraints include convexity or…

Optimization and Control · Mathematics 2022-10-31 Mihaela Curmei , Georgina Hall
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