Results 71 to 80 of about 4,637,247 (289)

On Sharp Triangle Inequalities in Banach Spaces II

open access: yesJournal of Inequalities and Applications, 2010
Sharp triangle inequality and its reverse in Banach spaces were recently showed by Mitani et al. (2007). In this paper, we present equality attainedness for these inequalities in strictly convex Banach spaces.
Kichi-Suke Saito, Ken-Ichi Mitani
doaj   +2 more sources

Some Remarks on Smooth Mappings of Hilbert and Banach Spaces and Their Local Convexity Property

open access: yesAxioms
We analyze smooth nonlinear mappings for Hilbert and Banach spaces that carry small balls to convex sets, provided that the radii of the balls are small enough.
Yarema A. Prykarpatskyy   +3 more
doaj   +1 more source

Fixed point theorems for generalized Lipschitzian semigroups in Banach spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1999
Fixed point theorems for generalized Lipschitzian semigroups are proved in p-uniformly convex Banach spaces and in uniformly convex Banach spaces. As applications, its corollaries are given in a Hilbert space, in Lp spaces, in Hardy space Hp, and in ...
Balwant Singh Thakur, Jong Soo Jung
doaj   +1 more source

Homomorphisms on Banach spaces [PDF]

open access: yesBulletin of the American Mathematical Society, 1948
If & ^ 1 for each v, then by reasoning analogous to that of the preceding example, it may be shown, for any set (a), that there is no point p such that t p implies that log St(a, £) is concave. Hence Theorem 4 applies to all such functions log St(a, £).
openaire   +3 more sources

Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim   +4 more
wiley   +1 more source

Type and cotype of some Banach spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1992
Type and cotype are computed for Banach spaces generated by some positive sublinear operators and Banach function spaces. Applications of the results yield that under certain assumptions Clarkson's inequalities hold in these spaces.
Mieczyslaw Mastylo
doaj   +1 more source

On M-spaces and Banach spaces [PDF]

open access: yes, 2008
We define in this paper the concept of C-space, related with M-spaces and Banach spaces. We obtain various properties on these spaces and propose some open problems.
openaire   +1 more source

Monitoring panels of sparse functional data

open access: yesJournal of Time Series Analysis, EarlyView.
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta   +2 more
wiley   +1 more source

Nests in Banach space

open access: yesJournal of Mathematical Analysis and Applications, 1991
The author considers nest algebras of operators on Banach spaces and asks how much of the known results about Hilbert space case carry over to Banach space case. If the Banach space is sufficiently looking like a Hilbert space, then some of them carry over: Theorem 1. If \(\mathcal N\) is a regular nest in a reflexive Banach space, then the radical of \
openaire   +2 more sources

Adaptive Estimation for Weakly Dependent Functional Times Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro   +2 more
wiley   +1 more source

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