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We lift the constraint of a diagonal representation of the Hamiltonian by searching for square integrable bases that support a tridiagonal matrix representation of the wave operator. Doing so results in exactly solvable problems with a…

Mathematical Physics · Physics 2007-05-23 A. D. Alhaidari

We extend the Capelli identities (1890) from the Lie algebra $gl_N$ to the other two classical Lie algebras $so_N$ and $sp_N$. We employ the theory of reductive dual pairs due to Howe. Our technique comes from the representation theory of…

q-alg · Mathematics 2007-05-23 Alexander Molev , Maxim Nazarov

Abductive reasoning is a popular non-monotonic paradigm that aims to explain observed symptoms and manifestations. It has many applications, such as diagnosis and planning in artificial intelligence and database updates. In propositional…

Artificial Intelligence · Computer Science 2026-01-14 Johannes Schmidt , Mohamed Maizia , Victor Lagerkvist , Johannes K. Fichte

We study a family $C_{s,l}$ of Capelli-type invariant differential operators on the space of rectangular matrices over a real division algebra. The $C_{s,l}$ descend to invariant differential operators on the corresponding Grassmannian,…

Representation Theory · Mathematics 2015-11-17 Siddhartha Sahi , Genkai Zhang

We consider the problem of recovering a unitary eigendecomposition of a complex unitary matrix from that of its embedded real-valued formulation. Such formulations arise naturally in scientific computing workflows that employ…

Numerical Analysis · Mathematics 2026-05-20 Stefanie Günther , N. Anders Petersson

We introduce a natural generalization of Maya diagrams -- the space of infinite Fibonacci configurations, which are specified functions on $\mathbb{Z}$ with values $1$ and $0$. Infinite Fibonacci configurations are particularly interesting…

Combinatorics · Mathematics 2024-03-15 Timur Kenzhaev

The discretized Bethe-Salpeter eigenvalue problem arises in the Green's function evaluation in many body physics and quantum chemistry. Discretization leads to a matrix eigenvalue problem for $H \in \mathbb{C}^{2n\times 2n}$ with a…

Numerical Analysis · Mathematics 2018-01-04 Zhen-Chen Guo , Eric King-Wah Chu , Wen-Wei Lin

It is demonstrated that the knowledge of a single and arbitrary solution of the three-dimension\-al Jacobi equations allows determining infinite families of new solutions, which are generally and explicitly constructed in what follows.…

Mathematical Physics · Physics 2019-11-05 Benito Hernández-Bermejo

This part is a continuation of the Part I where we built resolutions of identity for certain non-Hermitian Hamiltonians constructed of biorthogonal sets of their eigen- and associated functions for the spectral problem defined on entire…

Mathematical Physics · Physics 2011-12-06 Andrey V. Sokolov

In this paper, firstly, by a determinant of deformed Pascal's triangle, namely the normalized Hessenberg matrix determinant, to count Dyck paths, we give another combinatorial proof of the theorems which are of Catalan numbers determinant…

Combinatorics · Mathematics 2020-09-29 Jishe Feng , Cunqin Shi , Huani Zhao

We show that, up to multiplication by a factor $\frac{1}{(cq;q)_{\infty}}$, the weighted words version of Capparelli's identity is a particular case of the weighted words version of Primc's identity. We prove this first using recurrences,…

Combinatorics · Mathematics 2020-05-25 Jehanne Dousse

Angular parts of certain solvable models are studied. We find that an extension of this class may be based on suitable trigonometric identities. The new exactly solvable Hamiltonians are shown to describe interesting two- and three-particle…

Quantum Physics · Physics 2011-07-19 Vit Jakubsky , Miloslav Znojil , Euclides Augusto Luis , Frieder Kleefeld

With the rise of cameras and smart sensors, humanity generates an exponential amount of data. This valuable information, including underrepresented cases like AI in medical settings, can fuel new deep-learning tools. However, data…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Zikui Cai , Zhongpai Gao , Benjamin Planche , Meng Zheng , Terrence Chen , M. Salman Asif , Ziyan Wu

In this work, we propose the use of a causal collider structured model to describe the underlying data generative process assumptions in disentangled representation learning. This extends the conventional i.i.d. factorization assumption…

Machine Learning · Computer Science 2024-01-29 Juan Castorena

Aiming to provide weak as possible axiomatic assumptions in which one can develop basic linear algebra, we give a uniform and integral version of the short propositional proofs for the determinant identities demonstrated over $GF(2)$ in…

Computational Complexity · Computer Science 2018-11-13 Iddo Tzameret , Stephen A. Cook

Let $N$ be a simply connected, connected nilpotent Lie group which admits a uniform subgroup $\Gamma.$ Let $\alpha$ be an automorphism of $N$ defined by $\alpha\left( \exp X\right) =\exp AX.$ We assume that the linear action of $A$ is…

Representation Theory · Mathematics 2014-02-06 B. Currey , A. Mayeli , V. Oussa

In these two companion papers, we give infinite families of partition identities which generalise Primc's and Capparelli's identities, and study their consequences on the theory of crystal bases of the affine Lie algebra $A_{n-1}^{(1)}.$ In…

Combinatorics · Mathematics 2020-07-10 Jehanne Dousse , Isaac Konan

We previously showed that the real eigenvalues of 3x3 octonionic Hermitian matrices form two separate families, each containing 3 eigenvalues, and each leading to an orthonormal decomposition of the identity matrix, which would normally…

Rings and Algebras · Mathematics 2007-05-23 Tevian Dray , Corinne A Manogue , Susumu Okubo

Recently, D. Wang has devised a new contour integral based method to simplify certain matrix integrals. Capitalizing on that approach, we derive a new expression for the probability density function (p.d.f.) of the joint eigenvalues of a…

Statistics Theory · Mathematics 2013-06-28 Prathapasinghe Dharmawansa

Decoupling multivariate polynomials is useful for obtaining an insight into the workings of a nonlinear mapping, performing parameter reduction, or approximating nonlinear functions. Several different tensor-based approaches have been…

Numerical Analysis · Mathematics 2019-01-31 Konstantin Usevich , Philippe Dreesen , Mariya Ishteva