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Bleher and Kuijlaars recently showed that the eigenvalue correlations from matrix ensembles with external source can be expressed by means of a kernel built out of special multiple orthogonal polynomials. We derive a Christoffel-Darboux…

Classical Analysis and ODEs · Mathematics 2010-07-29 E. Daems , A. B. J. Kuijlaars

We propose a novel strategy for the perturbative resummation of transverse momentum-dependent (TMD) observables, using the $q_T$ spectra of gauge bosons ($\gamma^*$, Higgs) in $pp$ collisions in the regime of low (but perturbative)…

High Energy Physics - Phenomenology · Physics 2018-05-23 Daekyoung Kang , Christopher Lee , Varun Vaidya

In this paper, we provide the first convergence guarantee for the factorization approach. Specifically, to avoid the scaling ambiguity and to facilitate theoretical analysis, we optimize over the so-called left-orthogonal TT format which…

Machine Learning · Statistics 2025-09-01 Zhen Qin , Michael B. Wakin , Zhihui Zhu

The article shows how the factorization of an arbitrary Lorentz transformation is performed. That is, representation of an arbitrary Lorentz transformation as a sequence of spatial rotation and boost or boost and spatial rotation. Relations…

Classical Physics · Physics 2023-02-07 Konstantin Karplyuk , Myroslav Kozak , Oleksandr Zhmudskyy

We study the bi-commutators $[T_1, [b, T_2]]$ of pointwise multiplication and Calder\'on-Zygmund operators, and characterize their $L^{p_1}L^{p_2} \to L^{q_1}L^{q_2}$ boundedness for several off-diagonal regimes of the mixed-norm…

Classical Analysis and ODEs · Mathematics 2021-10-07 Emil Airta , Tuomas Hytönen , Kangwei Li , Henri Martikainen , Tuomas Oikari

Motion polynomials (polynomials over the dual quaternions with nonzero real norm) describe rational motions. We present a necessary and sufficient condition for reduced bounded motion polynomials to admit factorizations into monic linear…

Rings and Algebras · Mathematics 2024-12-03 Zijia Li , Hans-Peter Schröcker , Mikhail Skopenkov , Daniel F. Scharler

When a matrix has a banded inverse there is a remarkable formula that quickly computes that inverse, using only local information in the original matrix. This local inverse formula holds more generally, for matrices with sparsity patterns…

Numerical Analysis · Mathematics 2016-10-06 Gilbert Strang , Shev MacNamara

We study the problem of factorization for residues of generalized biadjoint scalar scattering amplitudes $m^{(k)}_n$, introduced by Cachazo, Early, Guevara and Mizera (CEGM), involving multi-dimensional residues which factorize generically…

Combinatorics · Mathematics 2023-01-23 Nick Early

We give a number of explicit matrix-algorithms for analysis/synthesis in multi-phase filtering; i.e., the operation on discrete-time signals which allow a separation into frequency-band components, one for each of the ranges of bands, say…

Functional Analysis · Mathematics 2014-12-10 Palle Jorgensen , Myung-Sin Song

Consider $\{p_n\}_{n=0}^{\infty}$, a sequence of polynomials orthogonal with respect to $w(x)>0$ on $(a,b)$, and polynomials $\{g_{n,k}\}_{n=0}^{\infty},k \in \mathbb{N}_0$, orthogonal with respect to $c_k(x)w(x)>0$ on $(a,b)$, where…

Classical Analysis and ODEs · Mathematics 2021-10-27 A. S. Jooste , D. D. Tcheutia , W. Koepf

Let $K$ be a field. Let $f\in K[[x_{1},...,x_{r}]]$ and $g\in K[[y_{1},...,y_{s}]]$ be nonzero elements. If $X$ (resp. $Y$) is a matrix factorization of $f$ (resp. $g$), Yoshino had constructed a tensor product (of matrix factorizations)…

Category Theory · Mathematics 2022-07-05 Yves Baudelaire Fomatati

Randomized iterative algorithms, such as the randomized Kaczmarz method and the randomized Gauss-Seidel method, have gained considerable popularity due to their efficacy in solving matrix-vector and matrix-matrix regression problems. Our…

This paper introduces a "kernel-independent" interpolative decomposition butterfly factorization (IDBF) as a data-sparse approximation for matrices that satisfy a complementary low-rank property. The IDBF can be constructed in $O(N\log N)$…

Numerical Analysis · Mathematics 2018-10-09 Qiyuan Pang , Kenneth L. Ho , Haizhao Yang

In the paper, we apply the $k_T$ factorization approach to deal with the $B\to K$ transition form factor $F^{B\to K}_{+,0}(q^2)$ in the large recoil regions. The B-meson wave functions $\Psi_B$ and $\bar\Psi_B$ that include the…

High Energy Physics - Phenomenology · Physics 2008-11-26 Xing-Gang Wu , Tao Huang , Zhen-Yun Fang

A generalization of the factorization technique is shown to be a powerful algebraic tool to discover further properties of a class of integrable systems in Quantum Mechanics. The method is applied in the study of radial oscillator, Morse…

Quantum Physics · Physics 2008-10-13 J. Negro , L. M. Nieto , O. Rosas-Ortiz

Invariant form of BK-factorization is presented, it is used for factorization of the LPDOs equivalent under gauge transformation and for construction of approximate factorization simplifying numerical simulsations with corresponding LPDEs…

Mathematical Physics · Physics 2007-05-23 E. Kartashova , O. Rudenko

We present a simple randomized polynomial time algorithm to approximate the mixed discriminant of $n$ positive semidefinite $n \times n$ matrices within a factor $2^{O(n)}$. Consequently, the algorithm allows us to approximate in randomized…

Rings and Algebras · Mathematics 2008-02-03 Alexander Barvinok

In this work, we give a detailed discussion for QCD factorization involved the complete chirally enhanced power corrections for B decays to two light pseudoscalar mesons, and present some detailed calculations of radiative corrections at…

High Energy Physics - Phenomenology · Physics 2009-11-07 Dongsheng Du , Deshan Yang , Guohuai Zhu

We introduce a generalization of bivariate Griffiths polynomials depending on an additional parameter $\lambda$. These $\lambda$-Griffiths polynomials are bivariate, bispectral and biorthogonal. For two specific values of the parameter…

Mathematical Physics · Physics 2023-11-07 N. Crampe , L. Frappat , J. Gaboriaud , E. Ragoucy , L. Vinet , M. Zaimi

Correlated-noise mechanisms are among the most promising approaches for improving the utility of differentially private model training, but rigorous guarantees require explicit, analyzable factorizations, and practical deployment requires…

Machine Learning · Computer Science 2026-05-19 Nikita P. Kalinin , Aki Rehn , Joel Daniel Andersson , Antti Honkela , Christoph H. Lampert