The main result of this article is a generalization of the generalized Holder inequality for functions or random variables defined on lower-dimensional subspaces of n-dimensional product spaces. It will be seen that various other inequalities are included in this approach. For example, it allows the calculation of upper bounds for the product measure of n-dimensional sets with the help of product measures of lower-dimensional marginal sets. Furthermore, it yields an interesting inequality for various cumulative distribution functions depending on a parameter n ∈ N.
No takes yet. Share an insight, caveat, or question.
Helmut Finner (1992) studied this question.
Synapse has enriched one closely related paper. Consider it for comparative context: