Modeling, description, and characterization of fractal pore via mathematical morphology.
Modeling snow crystal growth. I: Rigorous results for Packard's digital snowflakes.
Moderation of sigma-finite Borel measures.
Modular functions on multilattices
We prove that every modular function on a multilattice with values in a topological Abelian group generates a uniformity on which makes the multilattice operations uniformly continuous with respect to the exponential uniformity on the power set of .
Modulus of continuity of a set function and some of its applications
Moment estimation inequalities based on random variable on Sugeno measure space.
Moment matrix of self-similar measures.
Moment Sequences in Locally Convex Spaces.
Moments of Measures on Banach Spaces.
Moments of vector measures and Pettis integrable functions
Conditions, under which the elements of a locally convex vector space are the moments of a regular vector-valued measure and of a Pettis integrable function, both with values in a locally convex vector space, are investigated.
Monogenicity of probability measures based on measurable sets invariant under finite groups of transformations
Monoidwertige Integrale
Monotone approximation of measurable multifunctions by simple multifunctions
We investigate the problem of approximation of measurable multifunctions by monotone sequences of measurable simple ones. Our main tool is the Marczewski function, i.e., the characteristic function of a sequence of sets.
Monotonicity properties of some skew tent maps
More Lusin properties in the product space
Most monothetic extensions are rank-1
Moving averages
In ergodic theory, certain sequences of averages may not converge almost everywhere for all f ∈ L¹(X), but a sufficiently rapidly growing subsequence of these averages will be well behaved for all f. The order of growth of this subsequence that is sufficient is often hyperexponential, but not necessarily so. For example, if the averages are , then the subsequence will not be pointwise good even on , but the subsequence will be pointwise good on L¹. Understanding when the hyperexponential...
Moving Averages of Ergodic Processes.
Moving Shift Averages for Ergodic Transformations.
Moyennes invariantes s'annulant sur des idéaux