Results 11 to 20 of about 986,527 (283)

Composition and Decomposition of Positive Linear Operators (VIII)

open access: yesAxioms, 2023
In a series of papers, most of them authored or co-authored by H. Gonska, several authors investigated problems concerning the composition and decomposition of positive linear operators defined on spaces of functions.
Ana Maria Acu   +2 more
doaj   +1 more source

Resolvent Positive Linear Operators Exhibit the Reduction Phenomenon [PDF]

open access: yes, 2011
The spectral bound, s(a A + b V), of a combination of a resolvent positive linear operator A and an operator of multiplication V, was shown by Kato to be convex in b \in R.
Cantrell   +15 more
core   +3 more sources

Tensor Products, Positive Linear Operators, and Delay-Differential Equations [PDF]

open access: yes, 2012
We develop the theory of compound functional differential equations, which are tensor and exterior products of linear functional differential equations. Of particular interest is the equation $\dot x(t)=-\alpha(t)x(t)-\beta(t)x(t-1)$ with a single delay,
Mallet-Paret, John, Nussbaum, Roger D.
core   +1 more source

An analysis of the induced linear operators associated to divide and color models [PDF]

open access: yes, 2020
We study the natural linear operators associated to divide and color (DC) models. The degree of nonuniqueness of the random partition yielding a DC model is directly related to the dimension of the kernel of these linear operators.
Forsström, Malin Palö   +1 more
core   +2 more sources

On Pompeiu-Cebysev type inequalities for positive linear maps of selfadjoint operators in inner product spaces [PDF]

open access: yes, 2018
In this work, generalizations of some inequalities for continuous $h$-synchronous ($h$-asynchronous) functions of linear bounded selfadjoint operators under positive linear maps in Hilbert spaces are proved.Comment: 12 pages.
Alomari, Mohammad W.
core   +3 more sources

Positive linear operators and summability [PDF]

open access: yesJournal of the Australian Mathematical Society, 1970
Let {Ln} be a sequence of positive linear operators defined on C[a, b] of the form where xnk ∈ [a, b] for each k = 0, 1,…, n = 1, 2,…. The convergence properties of the sequences {Ln(f)} to for each f ∈ C[a, b] have been the object of much recent research (see e.g. [4], [8], [11], [13]).
King, J. P., Swetits, J. J.
openaire   +2 more sources

Approximation of General Form for a Sequence of Linear Positive Operators Based on Four Parameters

open access: yesJOURNAL OF ADVANCES IN MATHEMATICS, 2018
In the present paper, we define a generalization sequence of linear positive operators based on four parameters which is reduce to many other sequences of summation–integral older type operators of any weight function (Bernstein, Baskakov, Szász or Beta).
Khalid Dhaman Abbod, Ali J. Mohammad
semanticscholar   +1 more source

Note on Positive Linear Operators [PDF]

open access: yesProceedings of the American Mathematical Society, 1965
PROOF. Letf.-T*f and gn->g in C, and let an and I3n be the least numbers such that acxf. > gn and f.g1,>f, These exist by Lemma 1 and are positive since S is Archimedean, and 0(fn,, gn) = On satisfies ee9 =ana4n. Let 0= lim inf On. The case 0 =oo is trivial, since it imposes no restriction on O(f, g). Moreover, by restricting attention to a subsequence,
openaire   +2 more sources

Dobrushin ergodicity coefficient for Markov operators on cones, and beyond [PDF]

open access: yes, 2013
The analysis of classical consensus algorithms relies on contraction properties of adjoints of Markov operators, with respect to Hilbert's projective metric or to a related family of seminorms (Hopf's oscillation or Hilbert's seminorm).
Gaubert, Stéphane, Qu, Zheng
core   +7 more sources

On the Remainder Term of Some Bivariate Approximation Formulas Based on Linear and Positive Operators

open access: yesConstructive Mathematical Analysis, 2018
The paper is a survey concerning representations for the remainder term of Bernstein-Schurer-Stancu and respectively Stancu (based on factorial powers) bivariate approximation formulas, using bivariate divided differences.
Dan Barbosu
semanticscholar   +1 more source

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