Convergence of closed convex sets and ?-fields
Probability Theory and Related FieldsPublished 1 January 1983Open access
Makoto Tsukada
Citations5
SJR quartileQ1
SJR score2.63
SNIP1.87
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Let {C n } be a sequence of closed convex subsets in a Hilbert space H. We prove that the prediction sequence {p(x¦Cn)} converges for every xεH if and only if s-lim C n exists and is not empty. We further show the relation between the limit of closed convex sets and the one of σ-subfields in probability measure spaces.
Keywords
Mathematics
Normed Linear Spaces
1,034 Citations1962Mahlon M. Day
The Annals of ProbabilityA Note on the Strong Convergence of $\Sigma$-Algebras
32 Citations1974Hirokichi Kudō
Bulletin of the London Mathematical SocietyBEST APPROXIMATION IN NORMED LINEAR SPACES BY ELEMENTS OF LINEAR SUBSPACES
9 Citations1973A. L. Brown
