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Full Description
This monograph is aimed at the advanced student or researcher who does not have a background in functional analysis methods, but could benefit from their application. It develops topology, convexity, Banach lattices, integration, correspondences and the analytical approach to Markov processes.
Contents
Part 1 Odds and ends: topology; metrizable spaces. Part 2 Topological vector spaces: normed spaces; Riesz spaces. Part 3 Banach lattices: charges and measures; integrals. Part 4 Lp-spaces: measures and topology; probability measures on metrizable spaces; spaces of sequences; correspondences. Part 5 Markov transitions: ergodicity.



