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Saeed Hashemi Sababe

Publications and source records attributed to Saeed Hashemi Sababe.

12 recordsLinked to original sources

Sharp median testing and sparse criteria for generalized \(BMO\) spaces

We study generalized \(BMO\)-type spaces associated with a normalized family of local quasi-Banach function spaces \(\mathbb X=\{X_Q\}_{Q\subset\mathbb R^n}\). For such a family we consider two oscillation seminorms: the mean-based seminorm \(BMO_{\mathbb X}\) and the best-constant seminorm \(BMO_{\mathbb X}^{*}\). The main purpose of the paper is to separate the two mechanisms that govern their comparison with classical \(BMO\). First, we introduce a lower median-testing functional \(Λ_{\mathbb X}\), which measures the nondegeneracy of the local norms on subsets occupying a fixed positive proportion of a cube. Using the John--Strömberg median oscillation characterization of \(BMO\), we prove that the condition \(Λ_{\mathbb X}(λ)>0\) for some \(0<λ<1/2\) implies the embedding \[ BMO_{\mathbb X}^{*}\cap L^1_{\mathrm{loc}}(\mathbb R^n) \hookrightarrow BMO . \] Second, we introduce a sparse testing seminorm \(T_{\mathbb X}\), which measures the compatibility of the local norms with sparse sums of characteristic functions. Using a sparse domination principle for \(BMO\) oscillation, we prove that \(T_X(η_0)<\infty\), where \(η_0\) is the sparsity parameter arising from the local sparse domination formula, implies \[ BMO\hookrightarrow BMO_{\mathbb X} . \] We also provide a sufficient small-set criterion for this sparse testing condition in terms of an upper testing functional \(Ψ_{\mathbb X}\).

math.FA

Arens Products and Asymptotic Structures on Chébli-Trimèche Hypergroups under Low Regularity Conditions

We investigate the Arens products on the second duals of convolution algebras associated with Chébli--Trimèche hypergroups, particularly focusing on the left and right topological centres of $L^{1}(H)^{\prime\prime}$ and $M(H)^{\prime\prime}$. Building on the recent framework established by Losert, we relax the classical smoothness assumptions on the underlying Sturm--Liouville function $A$ and develop new asymptotic analysis tools for measure-valued and low-regularity perturbations. This allows us to extend the existence and continuity of the asymptotic measures $ν_{x}$ and the limit measure $ν_{\infty}$ to a strictly larger class of hypergroups. We further provide new necessary and sufficient conditions for strong Arens irregularity of $L^{1}(H)$ in terms of the spectral behaviour of $ν_{\infty}$, explore weighted (Beurling-type) hypergroup algebras, and obtain the first detailed comparison between the left and right topological centres for a wide class of non-classical examples. Several concrete applications to Jacobi, Naimark, and Bessel--Kingman hypergroups are presented.

math.FA

On Kernels and Covariance Structures in Hilbert Space Gaussian Processes

Motivated by practical applications, I present a novel and comprehensive framework for operator-valued positive definite kernels. This framework is applied to both operator theory and stochastic processes. The first application focuses on various dilation constructions within operator theory, while the second pertains to broad classes of stochastic processes. In this context, the authors utilize the results derived from operator-valued kernels to develop new Hilbert space-valued Gaussian processes and to investigate the structures of their covariance configurations.

math.ST

Stochastic Krasnosel skii-Mann Iterations in Banach Spaces with Bregman Distances

We propose a generalization of the stochastic Krasnoselskil-Mann $(SKM)$ algorithm to reflexive Banach spaces endowed with Bregman distances. Under standard martingale-difference noise assumptions in the dual space and mild conditions on the distance-generating function, we establish almost-sure convergence to a fixed point and derive non-asymptotic residual bounds that depend on the uniform convexity modulus of the generating function. Extensions to adaptive Bregman geometries and robust noise models are also discussed. Numerical experiments on entropy-regularized reinforcement learning and mirror-descent illustrate the theoretical findings.

math.OC

Generalized Bregman Projection Algorithms for Solving Nonlinear Split Feasibility Problems in Infinite-Dimensional Spaces

This paper introduces generalized Bregman projection algorithms for solving nonlinear split feasibility problems (SF P s) in infinitedimensional Hilbert spaces. The methods integrate Bregman projections, proximal gradient steps, and adaptive inertial terms to enhance convergence. Strong convergence is established under mild assumptions, and numerical experiments demonstrate the efficiency and robustness of the proposed algorithms in comparison to classical methods. These results contribute to advancing optimization techniques for nonlinear and high-dimensional problems.

math.OC

Iterative Splitting Methods for Stochastic Dynamic SVIs

This paper extends split variational inclusion problems to dynamic, stochastic, and multi-agent systems in Banach spaces. We propose novel iterative algorithms to handle stochastic noise, time-varying operators, and coupled variational inclusions. Leveraging advanced splitting techniques and self-adaptive rules, we establish weak convergence under minimal assumptions on operator monotonicity. Numerical experiments demonstrate the efficacy of our algorithms, particularly in resource allocation and optimization under uncertainty.

math.OC

Quantitative cyclicity, stability, and geometric analysis in weighted Besov spaces

We introduce new quantitative measures for cyclicity in radially weighted Besov spaces, including the Drury-Arveson space, by defining cyclicity indices based on potential theory and capacity. Extensions to non-commutative settings are developed, yielding analogues of cyclicity in free function spaces. We also study the stability of cyclic functions under perturbations of both the functions and the underlying weight, and we establish geometric criteria linking the structure of zero sets on the boundary to the failure or persistence of cyclicity. These results provide novel invariants and conditions that characterize cyclicity and the structure of multiplier invariant subspaces in a variety of function spaces.

math.FA

Brezis-Van Schaftingen-Yung Inequalities Beyond the Classical Setting

In this paper, we extend the framework of Brezis--Van Schaftingen--Yung type inequalities in metric measure spaces by exploring several novel directions. First, we establish finite difference characterizations and fractional Sobolev-type inequalities in settings where the underlying measure is non-doubling or only satisfies a weak doubling condition. Second, we incorporate variable exponent and Orlicz space frameworks to capture nonstandard growth phenomena. Third, we derive anisotropic and directional versions of these inequalities to better address non-isotropic structures, and we apply our results to study regularity properties of nonlocal operators. Finally, we investigate the stability and sharpness of the associated constants as well as interpolation and limiting behaviors that bridge classical and fractional settings. These developments not only generalize existing results but also open new avenues for applications in partial differential equations and numerical analysis.

math.FA

$L^p$-Theory and Noncommutative Geometry in Quantum Harmonic Analysis

Quantum harmonic analysis extends classical harmonic analysis by integrating quantum mechanical observables, replacing functions with operators and classical convolution structures with their noncommutative counterparts. This paper explores four interrelated developments in this field: (i) a noncommutative $L^p$-theory tailored for quantum harmonic analysis, (ii) the extension of quantum harmonic analysis beyond Euclidean spaces to include Lie groups and homogeneous spaces, (iii) its deep connections with Connes' noncommutative geometry, and (iv) the role of spectral synthesis and approximation properties in quantum settings. We establish novel results concerning the structure and spectral properties of quantum Segal algebras, analyze their functional-analytic aspects, and discuss their implications in quantum physics and operator theory. Our findings provide a unified framework for quantum harmonic analysis, laying the foundation for further advancements in noncommutative analysis and mathematical physics.

math.FA

Calculating max-eigenvalues and max-eigenvectors with jumps of matrices

The eigenvalue problem for an irreducible non negative matrix $A=[a_{ij}]$ in the max-algebra is the form $A \otimes x = λx$ where $(A \otimes x)_i = \max (a_{ij}x_j), x=(x_1,x_2, \dots, x_n)^t $ and $λ$ refers to maximum cycle geometric mean $μ(A) $. In this paper we exhibit a method to compute $μ(A)$ and max-eigenvector by using mutation of matrices. Since the order of power method algorithm is $O(n^3)$, the advantage of this paper present a faster procedure.

math.FA

Relative reproducing kernels in vector-valued Hilbert and Banach spaces

This paper is devoted to the study of vector valued reproducing kernel Hilbert spaces. We focus on reproducing kernels in vector-valued reproducing kernel Hilbert spaces. In particular we extend reproducing kernels to relative reproducing kernels and prove some theorems in this subject.

math.FA