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A Grassmannian frame is a collection of unit vectors which are optimally incoherent. To date, the vast majority of explicit Grassmannian frames are equiangular tight frames (ETFs). This paper surveys every known construction of ETFs and…

Functional Analysis · Mathematics 2016-06-17 Matthew Fickus , Dustin G. Mixon

We consider geometric and combinatorial characterizations of equiangular tight frames (ETFs), with the former concerning homogeneity of the vector and line symmetry groups and the latter the matroid structure. We introduce the concept of…

Functional Analysis · Mathematics 2025-12-25 Emily J. King

This paper studies group frames ($G$-frames) where the unitary group representation can be projective. When the group is abelian, for most combinations $N, n$, we show that $ETF(N,n)$ can only exist for genuinely projective group…

Combinatorics · Mathematics 2025-09-04 Radel Ben Av , Xuemei Chen , Assaf Goldberger , Kasso A. Okoudjou

An Equiangular tight frame (ETF) - also known as the Welch-bound-equality sequences - consists of a sequence of unit norm vectors whose absolute inner product is identical and minimal. Due to this unique property, these frames are preferred…

Signal Processing · Electrical Eng. & Systems 2021-10-26 R. Jyothi , P. Babu

Frame theory is a powerful tool in the domain of signal processing and communication. Among its numerous configurations, the ones which have drawn much attention recently are Equiangular Tight Frame (ETF) and Grassmannian Frame. These…

Information Theory · Computer Science 2013-07-02 Hailong Shi , Hao Zhang

We introduce the study of frames and equiangular lines in classical geometries over finite fields. After developing the basic theory, we give several examples and demonstrate finite field analogs of equiangular tight frames (ETFs) produced…

Metric Geometry · Mathematics 2021-07-15 Gary R. W. Greaves , Joseph W. Iverson , John Jasper , Dustin G. Mixon

Neural collapse is a phenomenon observed during the terminal phase of neural network training, characterized by the convergence of network activations, class means, and linear classifier weights to a simplex equiangular tight frame (ETF), a…

Machine Learning · Computer Science 2024-12-03 Emily Liu

An equichordal tight fusion frame (ECTFF) is a finite sequence of equi-dimensional subspaces of a finite-dimensional Hilbert space that achieves equality in Conway, Hardin and Sloane's simplex bound. Every ECTFF is a type of optimal…

Functional Analysis · Mathematics 2021-03-05 Matthew Fickus , Benjamin R. Mayo , Cody E. Watson

In this paper we describe some new algebraic features of the Gram matrices of complex Equiangular Tight Frames (ETF). This lead on the one hand to the nonexistence of several low dimensional complex ETFs; and on the other hand to the full…

Functional Analysis · Mathematics 2014-02-27 Ferenc Szöllősi

We present a new efficient algorithm to construct partitions of a special class of equiangular tight frames (ETFs) that satisfy the operator norm bound established by a theorem of Marcus, Spielman, and Srivastava (MSS), which they proved as…

Functional Analysis · Mathematics 2016-11-14 James Rosado , Hieu D. Nguyen , Lei Cao

This paper supplies additions to our paper in Linear Algebra Appl. 510 (2016) 395--420 on integral spans of tight frames in Euclidean spaces. In that previous paper, we considered the case of an equiangular tight frame (ETF), proving that…

Number Theory · Mathematics 2018-10-15 Albrecht Boettcher , Lenny Fukshansky

We investigate equiangular lines in finite orthogonal geometries, focusing specifically on equiangular tight frames (ETFs). In parallel with the known correspondence between real ETFs and strongly regular graphs (SRGs) that satisfy certain…

Combinatorics · Mathematics 2021-11-16 Gary R. W. Greaves , Joseph W. Iverson , John Jasper , Dustin G. Mixon

Neural Collapse (NC) is a recently observed phenomenon in neural networks that characterises the solution space of the final classifier layer when trained until zero training loss. Specifically, NC suggests that the final classifier layer…

Machine Learning · Computer Science 2024-11-05 Evan Markou , Thalaiyasingam Ajanthan , Stephen Gould

Equiangular tight frames provide optimal packings of lines through the origin. We combine Steiner triple systems with Hadamard matrices to produce a new infinite family of equiangular tight frames. This in turn leads to new constructions of…

Functional Analysis · Mathematics 2017-06-29 Matthew Fickus , John Jasper , Dustin G. Mixon , Jesse Peterson

The $(D+1)$-dimensional symmetry topological field theory (SymTFT$_{D+1}$) of a $D$-dimensional absolute quantum field theory (QFT$_D$) provides a topological characterization of symmetry data. In this framework, the SymTFT comes equipped…

High Energy Physics - Theory · Physics 2026-04-22 Oren Bergman , Jonathan J. Heckman , Max Hübner , Daniele Migliorati , Xingyang Yu , Hao Y. Zhang

This paper demonstrates that random, independently chosen equi-dimensional subspaces with a unitarily invariant distribution in a real Hilbert space provide nearly tight, nearly equiangular fusion frames. The angle between a pair of…

Functional Analysis · Mathematics 2013-03-26 Bernhard G. Bodmann

Over-complete systems of vectors, or in short, frames, play the role of analog codes in many areas of communication and signal processing. To name a few, spreading sequences for code-division multiple access (CDMA), over-complete…

Information Theory · Computer Science 2021-11-16 Marina Haikin , Matan Gavish , Dustin G. Mixon , Ram Zamir

We study definable sets, groups, and fields in the theory $T_\infty$ of infinite-dimensional vector spaces over an algebraically closed field equipped with a nondegenerate symmetric (or alternating) bilinear form. First, we define an…

Logic · Mathematics 2023-11-14 Jan Dobrowolski

The theory of finitary biframes as order-theoretical duals of bitopological spaces is explored. The category of finitary biframes is a coreflective subcategory of that of biframes. Some of the advantages of adopting finitary biframes as a…

Category Theory · Mathematics 2020-10-13 Anna Laura Suarez

A finite collection of unit vectors $S \subset \mathbb{R}^n$ is called a spherical two-distance set if there are two numbers $a$ and $b$ such that the inner products of distinct vectors from $S$ are either $a$ or $b$. We prove that if $a\ne…

Functional Analysis · Mathematics 2015-02-26 Alexander Barg , Alexei Glazyrin , Kasso Okoudjou , Wei-Hsuan Yu