
Summary: Given a probability space \((\Omega, {\mathcal A},P)\), a nonempty subset \(X\) of a separable Banach space \(Y\) and an random-valued function \(f: X\times\Omega\to X\), we assume that the sequence of iterates of \(f\) converges to a function \(\xi: X\times\Omega^{\infty}\to Y\). We give conditions on \(f\) and types of convergence which imply continuity of \(\xi\) with respect to the first variable. A possible application of obtained results to iterative equations is presented.
converges, Banach space, iterative equations, Functional equations for functions with more general domains and/or ranges, Random-valued vector functions, sequences of iterates, continuous solutions, Iteration theory, iterative and composite equations, probability space
converges, Banach space, iterative equations, Functional equations for functions with more general domains and/or ranges, Random-valued vector functions, sequences of iterates, continuous solutions, Iteration theory, iterative and composite equations, probability space
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
