Stochastic Approximation in Banach Spaces Without Geometric Constraints

Rajeeva Laxman Karandikar; B V Rao

Stochastic Approximation in Banach Spaces Without Geometric Constraints

Probability 2026-07-11 v1

Authors: Rajeeva Laxman Karandikar , B V Rao

Abstract

The thrust of this article is to show that on all Banach spaces, stochastic approximation holds when the noise sequence is an i.i.d. sequence with mean 0, without imposing any condition on the geometry of the space. Also, the same is true when the noise is a sequence of independent random variables under appropriate conditions on the moment. In this case, we need to require that the noise sequence is tight.

Cite

@article{arxiv.2607.10356,
  title  = {Stochastic Approximation in Banach Spaces Without Geometric Constraints},
  author = {Rajeeva Laxman Karandikar and B V Rao},
  journal= {arXiv preprint arXiv:2607.10356},
  year   = {2026}
}