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Quantitative approximate definable choices
Antonio Lerario1, Luca Rizzi1, Daniele Tiberio1
1SISSA, via Bonomea 265, 34136 Trieste, Italy.
Researchers developed approximate definable choices in semialgebraic geometry, improving complexity and variable dependence. This advances infinite-dimensional applications and sub-Riemannian geometry.
Area of Science:
- Semialgebraic geometry
- Sub-Riemannian geometry
- Real algebraic geometry
Background:
- Projections are fundamental in semialgebraic geometry.
- Definable choices provide selections within projection fibers but are computationally complex.
- Existing methods have complexity that scales exponentially with the number of variables.
Purpose of the Study:
- To improve the complexity of definable choices in semialgebraic geometry.
- To develop approximate definable choices with better scaling properties.
- To provide tools for infinite-dimensional applications, including the Sard conjecture.
Main Methods:
- Development of a quantitative theory for Hausdorff approximations in semialgebraic settings.
- Construction of approximate selections using novel techniques.
- Analysis of the complexity and degree of the approximate selections.
Main Results:
- An approximate definable choice is constructed.
- The complexity of this approximate selection is linear in the projection's complexity.
- The complexity is independent of the number of variables, a significant improvement.
Conclusions:
- Approximate definable choices offer a more efficient alternative to exact choices.
- The developed theory of Hausdorff approximations has broader implications.
- This work facilitates progress in areas like sub-Riemannian geometry and the Sard conjecture.
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