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Fractal interpolation function (FIF) is a special type of continuous function which interpolates certain data set and the attractor of the Iterated function system (IFS) corresponding to the data set is the graph of the FIF. Coalescence…

Dynamical Systems · Mathematics 2015-09-08 Md. Nasim Akhtar , M. Guru Prem Prasad

Making use of a unified approach to certain classes of induced representations, we establish here a number of detailed spectral theoretic decomposition results. They apply to specific problems from non-commutative harmonic analysis, ergodic…

Functional Analysis · Mathematics 2015-08-13 Palle Jorgensen , Feng Tian

$O(N)$ invariants are the observables of real tensor models. We use regular colored graphs to represent these invariants, the valence of the vertices of the graphs relates to the tensor rank. We enumerate $O(N)$ invariants as $d$-regular…

Mathematical Physics · Physics 2022-11-15 Remi C. Avohou , Joseph Ben Geloun , Nicolas Dub

Cyclotomic coset is a classical notion in the theory of finite field which has wide applications in various computation problems. Let $q$ be a prime power, and $n$ be a positive integer coprime to $q$. In this paper we determine explicitly…

Information Theory · Computer Science 2025-05-20 Li Zhu , Jinle Liu , Hongfeng Wu

A main object of our study is multiset functions -- that is, permutation-invariant functions over inputs of varying sizes. Deep Sets, proposed by \cite{zaheer2017deep}, provides a \emph{universal representation} for continuous multiset…

Machine Learning · Computer Science 2023-10-24 Puoya Tabaghi , Yusu Wang

Here we present four independent advances which facilitate the computation of phonons and their interactions from first-principles. First, we implement a group-theoretical approach to construct the order N Taylor series of a d-dimensional…

Computational Physics · Physics 2019-07-24 Lyuwen Fu , Mordechai Kornbluth , Zhengqian Cheng , Chris A. Marianetti

Basis functions which are invariant under the operations of a rotational point group $G$ are able to describe any 3-D object which exhibits the rotational point group symmetry. However, in order to characterize the spatial statistics of an…

Group Theory · Mathematics 2021-03-09 Nan Xu , Peter C. Doerschuk

Parametric representations of various functions are fundamental tools in science and engineering. This paper introduces a fixed-initial-state constant-input dynamical system (FISCIDS) representation, which provides an exact and parametric…

Systems and Control · Electrical Eng. & Systems 2025-12-04 Toshiyuki Ohtsuka

Shearlet theory has become a central tool in analyzing and representing 2D data with anisotropic features. Shearlet systems are systems of functions generated by one single generator with parabolic scaling, shearing, and translation…

Functional Analysis · Mathematics 2010-11-23 Gitta Kutyniok , Jakob Lemvig , Wang-Q Lim

Let $\{S_i\}_{i=1}^\ell$ be an iterated function system (IFS) on $\R^d$ with attractor $K$. Let $(\Sigma,\sigma)$ denote the one-sided full shift over the alphabet $\{1,..., \ell\}$. We define the projection entropy function $h_\pi$ on the…

Dynamical Systems · Mathematics 2010-02-11 De-Jun Feng , Huyi Hu

Let $\mathbb{K}$ be a field of characteristic zero and $\mathbb{K}[x_1, \dots, x_n]$ the corresponding multivariate polynomial ring. Given a sequence of $s$ polynomials $\mathbf{f} = (f_1, \dots, f_s)$ and a polynomial $\phi$, all in…

Symbolic Computation · Computer Science 2022-06-13 Thi Xuan Vu

Let $X$ be an arbitrary separable symmetric space on $[0,1]$. By using a combination of the frame approach and the notion of the multiplicator space $\mathscr{M}(X)$ of $X$ with respect to the tensor product, we investigate the problem when…

Functional Analysis · Mathematics 2019-03-19 Sergey V. Astashkin , Pavel A. Terekhin

Let O_d be the Cuntz algebra on generators S_1,...,S_d, 2 \leq d < \infty, and let D_d \subset O_d be the abelian subalgebra generated by monomials S_\alpha S_\alpha^* =S_{\alpha_{1}}...S_{\alpha_{k}}S_{\alpha_{k}}^*...S_{\alpha_{1}}^*…

Operator Algebras · Mathematics 2007-05-23 Ola Bratteli , Palle E. T. Jorgensen , Vasyl Ostrovskyi

This paper sets a theoretical foundation for the applications of the fractal interpolation functions (FIFs). We construct rational cubic spline FIFs (RCSFIFs) with quadratic denominator involving two shape parameters. The elements of the…

Numerical Analysis · Mathematics 2018-09-24 S. K. Katiyar , A. K. B. Chand , Sangita Jha

The problem of representation of elements of weighted space of infinitely differentiable functions on real line by exponential series is considered.

Classical Analysis and ODEs · Mathematics 2016-09-07 I. Kh. Musin

The representation theory of tensor functions is essential to constitutive modeling of materials including both mechanical and physical behaviors. Generally, material symmetry is incorporated in the tensor functions through a structural or…

Representation Theory · Mathematics 2025-09-12 Mohammad Madadi , Lin Cheng , Pu Zhang

Iterated function systems (IFS) provide a powerful method for constructing fractals and modeling complex structures. This paper develops the notion of a dynamical system of IFS to study how an initial IFS evolves over time. We construct a…

General Mathematics · Mathematics 2024-10-11 Praveen M

We study complexity and periodicity of Delone sets by applying an algebraic approach to multidimensional symbolic dynamics. In this algebraic approach, $\mathbb{Z}^d$-configurations $c: \mathbb{Z}^d \to \mathcal{A}$ for a finite set…

Dynamical Systems · Mathematics 2025-04-30 Pyry Herva , Jarkko Kari

Every Anderson $A$-motive $M$ over a field determines a compatible system of Galois representations on its Tate modules at almost all primes of $A$. This adapts easily to $F$-isocrystals, which are rational analogues of $A$-motives for the…

Number Theory · Mathematics 2025-09-26 Maxim Mornev , Richard Pink

Implicit neural representations (INRs) are increasingly being used as tools to map coordinates to signals, encompassing applications from neural fields to texture compression, shape representations, and beyond. Most INR methods are based on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Guillaume Perez , Janarbek Matai , Takahiro Harada