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We investigate the set of invariant idempotent probabilities for countable idempotent iterated function systems (IFS) defined in compact metric spaces. We demonstrate that, with constant weights, there exists a unique invariant idempotent…

Dynamical Systems · Mathematics 2024-07-09 Elismar R. Oliveira

Khintchine's theorem is a classical result from metric number theory which relates the Lebesgue measure of certain limsup sets with the convergence/divergence of naturally occurring volume sums. In this paper we ask whether an analogous…

Dynamical Systems · Mathematics 2020-07-23 Simon Baker

Let $(X,d)$ be a compact metric space, and let an iterated function system (IFS) be given on $X$, i.e., a finite set of continuous maps $\sigma_{i}$: $ X\to X$, $i=0,1,..., N-1$. The maps $\sigma_{i}$ transform the measures $\mu $ on $X$…

Classical Analysis and ODEs · Mathematics 2007-05-23 Palle E. T. Jorgensen

In 1996, Strichartz introduced reverse iterated function systems (RIFS) $\mathcal{F}=\{f_i(x)=r_i x+b_i\}_{i=1}^m$ of expanding mappings on $\mathbb{Z}$ and left the determination of the general dimension formulas of invariant sets as an…

Dynamical Systems · Mathematics 2026-05-14 Junjie Miao , Minghui Xu

We provide a new algorithm to generate images of the generalized fuzzy fractal attractors described in Oliveira-2017. We also provide some important results on the approximation of fractal operators to discrete subspaces with application to…

Dynamical Systems · Mathematics 2019-07-03 Rudnei D. da Cunha , Elismar R. Oliveira , Filip Strobin

The intention of this article is to introduce a generalization of Proinov-type contraction via simulation functions. We name this generalized contraction map as Proinov-type Z-contraction. This article establishes the existence and…

Functional Analysis · Mathematics 2023-10-10 Athul Puthusseri , D. Ramesh Kumar

We introduce two families of infinite iterated function systems (IFSs) $\mathcal{F}(\mathbf{d}, T)$ and $\mathcal{G}(\mathbf{d}, T)$, parametrized by a sequence of positive real numbers $\mathbf{d}$ and a natural number $T$, and investigate…

Dynamical Systems · Mathematics 2026-02-25 Takumi Okamoto

Generative Bayesian Filtering (GBF) provides a powerful and flexible framework for performing posterior inference in complex nonlinear and non-Gaussian state-space models. Our approach extends Generative Bayesian Computation (GBC) to…

Methodology · Statistics 2025-11-07 Edoardo Marcelli , Sean O'Hagan , Veronika Rockova

In this study we provide several significant generalisations of Banach contraction principle where the Lipschitz constant is substituted by real-valued control function that is a comparison function. We study non-stationary variants of…

Dynamical Systems · Mathematics 2022-06-23 Amit Bawalia , Vineeta Basotia , Ajay Prajapati

Following the work of Louisa and Michael Barnsley on results in tops of iterated function systems, we extend their work to graph-directed iterated function systems by investigating the relationship between top addresses and shift spaces.…

Dynamical Systems · Mathematics 2024-02-05 Grover Lancaster-Cole , Georgiana Lyall , Thomas Malcolm , Qiyu Zhou

Iterated functions system (IFS) is defined by specifying a set of functions in a classical phase space, which act randomly on an initial point. In an analogous way, we define a quantum iterated functions system (QIFS), where functions act…

Quantum Physics · Physics 2009-11-07 Artur Lozinski , Karol Zyczkowski , Wojciech Slomczynski

This preliminary paper presents initial explorations in rendering Iterated Function System (IFS) fractals using a differentiable rendering pipeline. Differentiable rendering is a recent innovation at the intersection of computer graphics…

Graphics · Computer Science 2024-06-11 Cory Braker Scott

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

For some fractal measures it is a very difficult problem in general to prove the existence of spectrum (respectively, frame, Riesz and Bessel spectrum). In fact there are examples of extremely sparse sets that are not even Bessel spectra.…

Functional Analysis · Mathematics 2012-01-23 Dorin Ervin Dutkay , Deguang Han , Eric Weber

Let $G(x):=\{1/x\}$ be the Gauss map. By $g_n(x)=\frac{1}{x+n}$ we denote its continuous/real analytic inverse branches. We define iterated function system (IFS) $G_n$ by limiting the collection of functions $g_k$, $k\in\mathbb N$, to the…

Dynamical Systems · Mathematics 2026-05-08 Rafał Tryniecki , Mariusz Urbański , Anna Zdunik

A recurrent theme in functional analysis is the interplay between the theory of positive definite functions, and their reproducing kernels, on the one hand, and Gaussian stochastic processes, on the other. This central theme is motivated by…

Functional Analysis · Mathematics 2012-08-15 Daniel Alpay , Palle Jorgensen

This article discusses the notion of convergence of sequences of iterated function systems. The technique of iterated function systems is one of the several methods to construct objects with fractal nature, and the fractals obtained with…

Dynamical Systems · Mathematics 2022-12-09 Praveen M , Sunil Mathew

Mappings from biological sequences (DNA, RNA, protein) to quantitative measures of sequence functionality play an important role in contemporary biology. We are interested in the related tasks of (i) inferring predictive…

Machine Learning · Computer Science 2025-08-05 Samantha Petti , Carlos Martí-Gómez , Justin B. Kinney , Juannan Zhou , David M. McCandlish

We introduce the novel concept of a non-stationary iterated function system by considering a countable sequence of distinct set-valued maps $\{\mathcal{F}_k\}_{k\in \mathbb{N}}$ where each $\mathcal{F}_k$ maps $\mathcal{H}(X)\to…

Dynamical Systems · Mathematics 2019-07-02 Peter Massopust

Using the Feynman-Kac and Cameron-Martin-Girsanov formulas, we obtain a generalized integral fluctuation theorem (GIFT) for discrete jump processes by constructing a time-invariable inner product. The existing discrete IFTs can be derived…

Statistical Mechanics · Physics 2009-06-11 Fei Liu , Yu-Pin Luo , Ming-Chang Huang , Zhong-can Ou-Yang