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This paper continues the studies of symbolic integration by focusing on the stability problems on D-finite functions. We introduce the notion of stability index in order to investigate the order growth of the differential operators…

Symbolic Computation · Computer Science 2023-11-13 Shaoshi Chen , Ruyong Feng , Zewang Guo , Wei Lu

We give necessary and sufficient conditions for a bounded operator defined between complex Hilbert spaces to be absolutely norm attaining. We discuss structure of such operators in the case of self-adjoint and normal operators separately.…

Spectral Theory · Mathematics 2018-01-09 G. Ramesh , D. Venku Naidu

Identifying active constraints from a point near an optimal solution is important both theoretically and practically in constrained continuous optimization, as it can help identify optimal Lagrange multipliers and essentially reduces an…

Optimization and Control · Mathematics 2025-09-03 Frank E. Curtis , Daniel P. Robinson , Lara Zebiane

If there is a topologically locally constant family of smooth algebraic varieties together with an admissible normal function on the total space, then the latter is constant on any fiber if this holds on some fiber. Combined with spreading…

Algebraic Geometry · Mathematics 2014-11-25 Morihiko Saito

In this note we solve, except for extremely pathological cases, a question posed by Puglisi and Seoane-Sepulveda on the lineability of the set of bounded non-absolutely summing linear operators. We also show how the idea of the proof can be…

Functional Analysis · Mathematics 2009-02-17 G. Botelho , D. Diniz , D. Pellegrino

The application of machine learning in safety-critical systems requires a reliable assessment of uncertainty. However, deep neural networks are known to produce highly overconfident predictions on out-of-distribution (OOD) data. Even if…

Machine Learning · Computer Science 2022-10-19 Alexander Meinke , Julian Bitterwolf , Matthias Hein

This work focuses on the generic identifiability of dynamical networks with partial excitation and measurement: a set of nodes are interconnected by transfer functions according to a known topology, some nodes are excited, some are…

Optimization and Control · Mathematics 2023-09-27 Antoine Legat , Julien M. Hendrickx

Dynamical systems modeling is a core pillar of scientific inquiry across natural and life sciences. Increasingly, dynamical system models are learned from data, rendering identifiability a paramount concept. For systems that are not…

Machine Learning · Computer Science 2026-05-11 Cecilia Casolo , Sören Becker , Niki Kilbertus

The statements on the BIBO stability of continuous-time convolution systems found in engineering textbooks are often either too vague (because of lack of hypotheses) or mathematically incorrect. What is more troubling is that they usually…

Functional Analysis · Mathematics 2020-12-02 Michael Unser

We consider contractive operators $T$ that are trace class perturbations of a unitary operator $U$. We prove that the dimension functions of the absolutely continuous spectrum of $T$, $T^*$ and of $U$ coincide. In particular, if $U$ has a…

Functional Analysis · Mathematics 2022-05-20 Sergei Treil , Constanze Liaw

In this paper, we develop a class of samplers for the diffusion model using the operator-splitting technique. The linear drift term and the nonlinear score-driven drift of the probability flow ordinary differential equation are split and…

Numerical Analysis · Mathematics 2026-01-27 Peiyi Liu , Zhaoqiang Liu , Yiqi Gu

Recent sampling theorems allow for the recovery of operators with bandlimited Kohn-Nirenberg symbols from their response to a single discretely supported identifier signal. The available results are inherently non-local. For example, we…

Functional Analysis · Mathematics 2013-10-22 Felix Krahmer , Götz Pfander

We prove that a condition of boundedness of the maximal function of a singular integral operator, that is known to be sufficient for the continuity of the corresponding integral operator in H\"{o}lder spaces, is actually also necessary in…

Functional Analysis · Mathematics 2023-05-08 Massimo Lanza de Cristoforis

Neural operators have emerged as a powerful, discretization-invariant framework for solving partial differential equations (PDEs). Although established approaches like the Deep Operator Network (DeepONet) have successfully achieved…

Machine Learning · Computer Science 2026-05-20 Abderrahim Bendahi , Adrien Fradin , Johan Peralez , Julie Digne , Madiha Nadri

The spectral and scattering properties of non-selfadjoint problems pose a mathematical challenge. Apart from exceptional cases, the well-developed methods used to examine the spectrum of selfadjoint problems are not applicable. One of the…

Spectral Theory · Mathematics 2022-12-02 B. Malcolm Brown , Marco Marletta , Sergey Naboko , Ian Wood

We prove that if T is an operator on an infinite-dimensional Hilbert space whose spectrum and essential spectrum are both connected and whose Fredholm index is only 0 or 1, then the only nontrivial norm-stable invariant subspaces of T are…

Functional Analysis · Mathematics 2010-08-20 Alexander Borichev , Don Hadwin , Hassan Yousefi

The dispersion error is often the dominant error for computed solutions of wave propagation problems with high-frequency components. In this paper, we define and give explicit examples of $\alpha$-dispersion-relation-preserving schemes.…

Numerical Analysis · Mathematics 2021-10-12 Christopher Williams , Kenneth Duru

Inspired by a recent article \cite[JFAA, 28(2):1-34, (2022)]{Skrettingland2022JoFAaA}, this paper is devoted to the study of suitable window class in the framework of bounded linear operators on $L^2(\rd)$. We establish a natural and…

Functional Analysis · Mathematics 2022-10-12 Weichao Guo , Guoping Zhao

We establish sharp results on the modulus of continuity of the distribution of the spectral measure for one-frequency Schrodinger operators with Diophantine frequencies in the region of absolutely continuous spectrum. More precisely, we…

Dynamical Systems · Mathematics 2015-05-14 Artur Avila , Svetlana Jitomirskaya

We establish a necessary density criterion for the identifiability of time-frequency structured classes of Hilbert-Schmidt operators. The density condition is based on the density criterion for Gabor frames and Riesz bases in the space of…

Functional Analysis · Mathematics 2015-04-23 Niklas Grip , Götz E. Pfander , Peter Rashkov