Results 121 to 130 of about 939 (135)
Some of the next articles are maybe not open access.

Minimizers of the limit of Mosco converging functions

Archiv der Mathematik, 2005
The author gives a characterization of minimizers of a function \(f\) defined on a Banach space \(E\) which is the limit of the Moscow converging sequence \(\{f_n\}\) of lower semicontinuous functions. It is shown that any minimizer of \(f\) is a cluster point of a sequence of ``almost'' minimizers of the functions \(f_n\).
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On multivalued martingales whose values may be unbounded: martingale selectors and mosco convergence

open access: yesJournal of Multivariate Analysis, 1991
Two results on the existence of martingale selections for a multivalued martingale are proved using classical properties of the projective limit of a sequence of subsets. Also, some further properties of the martingale selections are established. Finally some applications are given.
exaly   +3 more sources

Mosco convergence of the sets of fixed points for one-parameter nonexpansive semigroups

Nonlinear Analysis: Theory, Methods & Applications, 2008
The author proves the Mosco convergence of the sets of fixed points for one-parameter nonexpansive semigroups \(T(t)\) on a closed convex set of a Banach space with the Opial property. Namely, under the assumption that \(t_n>\tau\geq 0\), \(t_n\to\tau\) as \(n\to\infty\), it is established that the sets of fixed points of \(T(t_n)\) converge in the ...
Tomonari Suzuki
exaly   +3 more sources

Mosco convergence of SLLN for triangular arrays of rowwise independent random sets

Statistics and Probability Letters, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nguyen Văn Quang
exaly   +3 more sources

Mosco Convergence and Large Deviations

1992
The techniques of convex analysis have come to play an increasingly important role in the theory of large deviations (see, e.g., Bahadur and Zabell, 1979; Ellis, 1985; de Acosta, 1988). The purpose of this brief note is to point out an interesting connection between a basic form of convergence commonly employed in convex analysis (“Mosco convergence”),
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Mosco convergence of closed convex subsets and resolvents of maximal monotone operators

open access: closed, 2003
Let \(E\) be a strictly convex, reflexive and smooth Banach space and let \(E^*\) denote its dual. The author considers a sequence of maximal monotone operators from \(E\) to \(E^*\) and defines two related sequences of resolvents on \(E\). He obtains convergence results for these resolvents.
泰紀 木村, Yasunori Kimura
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Inverse problems in irregular domains: approximation via Mosco convergence

We consider inverse problems in an irregular domain $\Omega$ and their suitable approximations, respectively. Under suitable assumptions, after stating well-posedness results, we prove that the solutions of the approximating problems converge to the solution of the problem on $\Omega$ via Mosco convergence. We also present some applications.
Creo, Simone   +3 more
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Weak convergence of resolvents of maximal monotone operators and Mosco convergence

2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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