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We propose a notion of continuous path for locally finite metric spaces, taking inspiration from the recent development of A-theory for locally finite connected graphs. We use this notion of continuity to derive an analogue in Z^2 of the…

Metric Geometry · Mathematics 2013-09-18 Valerio Capraro

The work develops further the theory of the following inversion problem, which plays the central role in the rapidly developing area of thermoacoustic tomography and has intimate connections with PDEs and integral geometry: {\it Reconstruct…

Classical Analysis and ODEs · Mathematics 2011-08-04 Yuri A. Antipov , Ricardo Estrada , Boris Rubin

The model of local Turing machines is introduced, including classical and quantum ones, in the framework of matrix-product states. The locality refers to the fact that at any instance of the computation the heads of a Turing machine have…

Quantum Physics · Physics 2020-03-31 Dong-Sheng Wang

Partial observations of continuous time-series dynamics at arbitrary time stamps exist in many disciplines. Fitting this type of data using statistical models with continuous dynamics is not only promising at an intuitive level but also has…

Machine Learning · Computer Science 2021-10-29 Ruizhi Deng , Marcus A. Brubaker , Greg Mori , Andreas M. Lehrmann

In this work we extend our study on a link between automaticity and certain algebraic power series over finite fields. Our starting point is a family of sequences in a finite field of characteristic $2$, recently introduced by the first…

Number Theory · Mathematics 2016-05-04 Alain Lasjaunias , Jia-Yan Yao

We propose a functorial framework for persistent homology based on finite topological spaces and their associated posets. Starting from a finite metric space, we associate a filtration of finite topologies whose structure maps are…

Algebraic Topology · Mathematics 2026-02-24 Selçuk Kayacan

Convergent sequences of real numbers play a fundamental role in many different problems in system theory, e.g., in Lyapunov stability analysis, as well as in optimization theory and computational game theory. In this survey, we provide an…

Optimization and Control · Mathematics 2021-11-23 Barbara Franci , Sergio Grammatico

Sampling theory has traditionally drawn tools from functional and complex analysis. Past successes, such as the Shannon-Nyquist theorem and recent advances in frame theory, have relied heavily on the application of geometry and analysis.…

Algebraic Topology · Mathematics 2014-05-05 Michael Robinson

The goal of this paper is to compute the generating series of a closed-loop system when the plant is described in terms of a Chen-Fliess series and an additive static output feedback is applied. The first step is to consider the so called…

Systems and Control · Electrical Eng. & Systems 2021-10-20 G. S. Venkatesh , W. Steven Gray

A new diffuse interface model for a two-phase flow of two incompressible fluids with different densities is introduced using methods from rational continuum mechanics. The model fulfills local and global dissipation inequalities and is also…

Fluid Dynamics · Physics 2010-11-03 Helmut Abels , Harald Garcke , Günther Grün

Localized patterns are coherent structures embedded in a quiescent state and occur in both discrete and continuous media across a wide range of applications. While it is well-understood how domain covering patterns (for example stripes and…

Pattern Formation and Solitons · Physics 2025-03-19 Jason J. Bramburger , Dan J. Hill , David J. B. Lloyd

In this work, we aim to establish a strong connection between two significant bodies of machine learning research: continual learning and sequence modeling. That is, we propose to formulate continual learning as a sequence modeling problem,…

Machine Learning · Computer Science 2024-05-31 Soochan Lee , Jaehyeon Son , Gunhee Kim

In a recent article, Khojasteh et al. introduced a new class of simulation functions, Z-contractions, with blending over known contractive conditions in the literature. Subsequently, in this paper, we extend and generalize the results on…

Functional Analysis · Mathematics 2016-10-04 Ankush Chanda , Lakshmi Kanta Dey

Kolmogorovs axiomatic framework is the best-known approach to describing probabilities and, due to its use of the Lebesgue integral, leads to remarkably strong continuity properties. However, it relies on the specification of a probability…

Probability · Mathematics 2018-06-11 Natan T'Joens , Gert de Cooman , Jasper De Bock

The continuity problem, i.e., the question whether effective maps between effectively given topological spaces are effectively continuous, is reconsidered. In earlier work it was shown that this is always the case, if the effective map also…

Logic · Mathematics 2016-06-22 Dieter Spreen

The class of input-output systems representable as Chen-Fliess series arises often in control theory. One well known drawback of this representation, however, is that the iterated integrals which appear in these series are algebraically…

Optimization and Control · Mathematics 2025-09-25 W. Steven Gray , Fatima Raza , Lance Berlin , Luis A. Duffaut Espinosa

We consider the problem of determining the class of continuous-time dynamical systems that can be globally linearized in the sense of admitting an embedding into a linear system on a higher-dimensional Euclidean space. We solve this problem…

Dynamical Systems · Mathematics 2026-04-08 Matthew D. Kvalheim , Philip Arathoon

In his work on log-concavity of multiplicities, Okounkov showed in passing that one could associate a convex body to a linear series on a projective variety, and then use convex geometry to study such linear systems. Although Okounkov was…

Algebraic Geometry · Mathematics 2008-05-30 Robert Lazarsfeld , Mircea Mustata

We prove an analytic version of the stable graph regularity lemma from \cite{MaSh}, which applies to stable functions $f\colon V\times W\to [0,1]$. Our methods involve continuous model theory and, in particular, results on the structure of…

Logic · Mathematics 2024-10-21 Nicolas Chavarria , Gabriel Conant , Anand Pillay

For composite nonsmooth optimization problems, Forward-Backward algorithm achieves model identification (e.g. support identification for the Lasso) after a finite number of iterations, provided the objective function is regular enough.…

Machine Learning · Statistics 2020-10-23 Quentin Klopfenstein , Quentin Bertrand , Alexandre Gramfort , Joseph Salmon , Samuel Vaiter