# On the complexity of classifying Lebesgue spaces

**Authors:** Tyler Brown, Alexander G. Melnikov, Timothy H. McNicholl

arXiv: 1906.12209 · 2019-07-01

## TL;DR

This paper uses computability theory to analyze the complexity involved in classifying Lebesgue spaces and determining isometric isomorphisms between them.

## Contribution

It introduces a computability-theoretic framework for understanding the classification problems of Lebesgue spaces.

## Key findings

- Identifies the computational complexity of classifying Lebesgue spaces
- Establishes the difficulty of isometric isomorphism problems
- Provides a new perspective on Lebesgue space classification

## Abstract

Computability theory is used to evaluate the complexity of classifying various kinds of Lebesgue spaces and associated isometric isomorphism problems.

## Full text

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## References

40 references — full list in the complete paper: https://tomesphere.com/paper/1906.12209/full.md

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Source: https://tomesphere.com/paper/1906.12209