Results 81 to 90 of about 564,269 (235)

On the stability of vacuum in the screened Vlasov–Poisson equation

open access: yesJournal of the London Mathematical Society, Volume 113, Issue 1, January 2026.
Abstract We study the asymptotic behavior of small data solutions to the screened Vlasov–Poisson equation on Rd×Rd$\mathbb {R}^d\times \mathbb {R}^d$ near vacuum. We show that for dimensions d⩾2$d\geqslant 2$, under mild assumptions on localization (in terms of spatial moments) and regularity (in terms of at most three Sobolev derivatives) solutions ...
Mikaela Iacobelli   +2 more
wiley   +1 more source

On Stability of Parametrized Families of Polynomials and Matrices

open access: yesAbstract and Applied Analysis, 2010
The Schur and Hurwitz stability problems for a parametric polynomial family as well as the Schur stability problem for a compact set of real matrix family are considered.
Handan Akyar   +2 more
doaj   +1 more source

A Lucas Operational Matrix Method for Solving Nonlinear Fractional Two‐Dimensional Partial Volterra Integral Equations

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.
This paper introduces a new numerical method for solving a class of two‐dimensional fractional partial Volterra integral equations (2DFPVIEs). Our approach uses Lucas polynomials (LPs) to construct operational matrices (OMs) that effectively transform the complex fractional‐order equations into a more manageable system of algebraic equations.
S. S. Gholami   +4 more
wiley   +1 more source

Tests of structural changes in conditional distributions with unknown changepoints [PDF]

open access: yes
This paper focuses on a procedure to test for structural changes in the first two moments of a time series, when no information about the process driving the breaks is available.
Dominique Guegan, Philippe De Peretti
core  

Deficient Bernstein polynomials

open access: yesJournal of Approximation Theory, 1989
In the first part of the paper the author gives another proof of the following theorem, established by \textit{D. Freedman} and \textit{E. Passow} [J. Approximation Theory 39, 89-92 (1983; Zbl 0534.41005)]. Let f be a piecewise linear function having (possible) changes of slope only at the points i/m, \(i=1,2,...m-1\).
openaire   +1 more source

Constrained Path Planning for Soft Continuum Robots With Bernstein Surfaces

open access: yesIEEE Open Journal of Control Systems
This manuscript presents a framework for trajectory generation for soft continuum robots using principles from optimal control. The problem is constrained over the partial differential kinematic equations of the Cosserat rod model, capturing all modes of
Maxwell Hammond   +4 more
doaj   +1 more source

Area of Bernstein-Type Polynomials [PDF]

open access: yesProceedings of the American Mathematical Society, 1974
Bernstein polynomials in one variable are known to be total-variation diminishing when compared to the approximated function f. Here we consider the two variable case and give a counterexample to show they are not area-diminishing. Sufficient conditions are then given on a continuous function f to insure convergence in area. A similar theorem is proved
openaire   +1 more source

Uniform And Pointwise Polynomial Inequalities In Regions With Asymptotically Conformal Curve

open access: yesMANAS: Journal of Engineering, 2018
In this we continue studying the Nikolskii and Bernstein-Walsh type polynomial estimation in the Lebesgue spaces in the bounded and unbounded regions bounded by asymptotically conformal ...
P. Özkartepe
doaj  

Asymptotic properties of the Bernstein density copula for dependent data [PDF]

open access: yes
Copulas are extensively used for dependence modeling. In many cases the data does not reveal how the dependence can be modeled using a particular parametric copula. Nonparametric copulas do not share this problem since they are entirely data based.
BOUEZMARNI, Taoufik   +2 more
core  

A Bernstein polynomial approach of the robust regression

open access: yesAIMS Mathematics
This paper proposes a new family of robust non-parametric estimators for regression functions by applying polynomials to construct a robust regression estimator.
Sihem Semmar   +4 more
doaj   +1 more source

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