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Related papers: Johnson-Lindenstrauss lemma for circulant matrices

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In this paper we investigate the spectral norm for circulant matrices, whose entries are modified Fibonacci numbers and Lucas numbers. We obtain the identity estimations for the spectral norms. Some numerical test results are listed to…

Numerical Analysis · Mathematics 2026-05-29 Jianwei Zhou , Zhaolin Jiang

We consider Johnson's rule for minimizing the makespan in the two-machine flow shop problem. Although its worst-case time complexity is O(n log n), we show that it is possible to detect in linear time whether a full sorting of jobs can be…

Optimization and Control · Mathematics 2026-01-08 Federico Della Croce , Quentin Schau

Let $e_{1},\dots, e_{k}$ be complex $n\times n$ matrices such that $e_{i}e_{j}=-e_{j}e_{i}$ whenever $i\not=j$. We conjecture that $\hbox{rk}(e_{1}^{2})+\hbox{rk}(e_{2}^{2})+\cdots+\hbox{rk}(e_{k}^{2})\leq O(n\log n)$, and prove some…

Computational Complexity · Computer Science 2014-12-19 Pavel Hrubeš

We show that crossing probabilities in 2D critical site percolation on the triangular lattice in a piecewise analytic Jordan domain converge with power law rate in the mesh size to their limit given by the Cardy-Smirnov formula. We use this…

Probability · Mathematics 2014-05-05 Dana Mendelson , Asaf Nachmias , Samuel S. Watson

We study a classical iterative algorithm for balancing matrices in the $L_\infty$ norm via a scaling transformation. This algorithm, which goes back to Osborne and Parlett \& Reinsch in the 1960s, is implemented as a standard preconditioner…

Data Structures and Algorithms · Computer Science 2015-06-16 Leonard J. Schulman , Alistair Sinclair

This paper proposes lower bounds on a quantity called $L^p$-norm joint spectral radius, or in short, $p$-radius, of a finite set of matrices. Despite its wide range of applications to, for example, stability analysis of switched linear…

Optimization and Control · Mathematics 2016-11-04 Masaki Ogura , Victor M. Preciado , Raphaël Jungers

The Kronecker product is an important matrix operation with a wide range of applications in supporting fast linear transforms, including signal processing, graph theory, quantum computing and deep learning. In this work, we introduce a…

Information Theory · Computer Science 2020-11-25 Ruhui Jin , Tamara G. Kolda , Rachel Ward

The objective of the matrix selection problem is to select a submatrix $A_{S}\in \mathbb{R}^{n\times k}$ from $A\in \mathbb{R}^{n\times m}$ such that its minimum singular value is maximized. In this paper, we employ the interlacing…

Functional Analysis · Mathematics 2025-08-15 Zhiqiang Xu

The sparse Johnson-Lindenstrauss transform is one of the central techniques in dimensionality reduction. It supports embedding a set of $n$ points in $\mathbb{R}^d$ into $m=O(\varepsilon^{-2} \lg n)$ dimensions while preserving all pairwise…

Data Structures and Algorithms · Computer Science 2023-02-14 Mikael Møller Høgsgaard , Lion Kamma , Kasper Green Larsen , Jelani Nelson , Chris Schwiegelshohn

We present here the necessary and sufficient conditions for the invertibility of tridiagonal matrices, commonly named Jacobi matrices, and explicitly compute their inverse. The techniques we use are related with the solution of…

Rings and Algebras · Mathematics 2018-07-23 A. M. Encinas , M. J. Jiménez

We analytically calculate some orbital effects induced by the Lorentz-invariance/momentum-conservation PPN parameter $\alpha_3$ in a gravitationally bound binary system made of a compact primary orbited by a test particle. We neither…

General Relativity and Quantum Cosmology · Physics 2014-09-30 Lorenzo Iorio

The fastest known algorithms for dealing with structured matrices, in the sense of the displacement rank measure, are randomized. For handling classical displacement structures, they achieve the complexity bounds…

Symbolic Computation · Computer Science 2026-03-04 Sara Khichane , Vincent Neiger

We complement our earlier position-space exploration of a recently proposed S-matrix for transplanckian scattering by a momentum-space analysis. As in the previous paper, we restrict ourselves to the case of axisymmetric collisions of…

High Energy Physics - Theory · Physics 2009-12-10 G. Veneziano , J. Wosiek

In this monograph, we study complexity classes that are defined using $O(\log n)$-space bounded non-deterministic Turing machines. We prove salient results of Computational Complexity in this topic such as the Immerman-Szelepcsenyi Theorem,…

Computational Complexity · Computer Science 2026-03-17 T. C. Vijayaraghavan

A new algorithm is developed allowing the Monte Carlo study of a 1 + 1 dimensional theory in real time. The main algorithmic development is to avoid the explicit calculation of the Jacobian matrix and its determinant in the update process.…

High Energy Physics - Lattice · Physics 2017-06-14 Andrei Alexandru , Gokce Basar , Paulo F. Bedaque , Gregory W. Ridgway

Turyn prove that if a circulant Hadamard matrix of order $n$ exists then $n$ must be of the form $n=4m^{2}$ for some odd integer $m$. In this paper we use the structure constant of Schur ring of $\Z_{2}^{4m^{2}}$ to prove that there is no…

Combinatorics · Mathematics 2018-05-15 Ronald Orozco López

Consider Ginibre's ensemble of $N \times N$ non-Hermitian random matrices in which all entries are independent complex Gaussians of mean zero and variance $\frac{1}{N}$. As $N \uparrow \infty$ the normalized counting measure of the…

Probability · Mathematics 2007-05-23 Brian Rider

In this note, we give short proofs of three theorems concerning extremal problems in the Johnson scheme, or, in other terminology, on $(n,k,L)$-systems. The main result is a proof of the Aljohani--Bamberg--Cameron conjecture which claims…

Combinatorics · Mathematics 2026-05-29 Danila Cherkashin , Yakov Shubin

In this paper, we are concerned with the inversion of circulant matrices and their quantized tensor-train (QTT) structure. In particular, we show that the inverse of a complex circulant matrix $A$, generated by the first column of the form…

Numerical Analysis · Mathematics 2022-05-10 Lev Vysotsky , Maxim Rakhuba

The complexity of matrix multiplication is measured in terms of $\omega$, the smallest real number such that two $n\times n$ matrices can be multiplied using $O(n^{\omega+\epsilon})$ field operations for all $\epsilon>0$; the best bound…

Data Structures and Algorithms · Computer Science 2024-09-11 Josh Alman , Virginia Vassilevska Williams