Equivariant mappings: a new approach in stochastic simulations

Citations of this article
Mendeley users who have this article in their library.
Get full text


Stochastic simulations on manifolds usually are traced back to Rn via charts. If a group G is acting on a manifold M and if the respective distribution v is invariant under this group action then in many cases of practical interest there exists a more convenient approach which uses equivariant mappings. The concept of equivariant mappings will be discussed intensively at the instance of the Grassman manifold in which case G equals the orthogonal group. Further advantages of this concept will be demonstrated by applying it to a probabilistic problem from the field of combinatorial geometry. © 1994.




Schindler, W. (1994). Equivariant mappings: a new approach in stochastic simulations. Computational Geometry: Theory and Applications, 4(6), 327–343. https://doi.org/10.1016/0925-7721(94)00012-3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free