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Hierarchical Structure of Uncertainty

Mathematical Finance 2024-09-13 v4 Probability

Abstract

We introduce a new concept called uncertainty spaces which is an extended concept of probability spaces. Then, we express n-layer uncertainty which we call hierarchical uncertainty by a hierarchically constructed sequence of uncertainty spaces, called a U-sequence. We use U-sequences for providing examples that illustrate Ellsberg's paradox. We will use the category theory to get a bird's eye view of the hierarchical structure of uncertainty. We discuss maps between uncertainty spaces and maps between U-sequences, seeing that they form categories of uncertainty spaces and the category of U-sequences, respectively. We construct an endofunctor of the category of measurable spaces in order to embed a given U-sequence into it. Then, by the iterative application of the endofunctor, we construct the universal uncertainty space which may be able to serve as a basis for multi-layer uncertainty theory.

Cite

@article{arxiv.2311.14219,
  title  = {Hierarchical Structure of Uncertainty},
  author = {Takanori Adachi},
  journal= {arXiv preprint arXiv:2311.14219},
  year   = {2024}
}

Comments

34 pages

R2 v1 2026-06-28T13:29:54.595Z