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Euler integration over definable functions.
Yuliy Baryshnikov1, Robert Ghrist
1Bell Laboratories, Murray Hill, NJ 07974, USA.
Summary
We expanded Euler integration theory to tame R-valued functions, revealing a non-linear operator with Morse-theoretic insights. This offers a new approach for integrating noisy sensor network data.
Area of Science:
- Real analysis
- Geometric measure theory
- Real algebraic geometry
Background:
- Euler integration is a fundamental concept in calculus.
- Constructible functions are a well-studied class of functions.
- O-minimal structures provide a framework for definable sets and functions.
Purpose of the Study:
- To extend the theory of Euler integration to a broader class of functions called "tame" R-valued functions.
- To explore the properties and interpretations of the extended integral operator.
- To investigate the applicability of this framework to real-world problems like noisy sensor data.
Main Methods:
- Generalizing Euler integration from constructible functions to tame R-valued functions within o-minimal structures.
- Analyzing the properties of the resulting integral operator, including its linearity.
- Developing a Morse-theoretic interpretation of the integral operator.
- Applying the framework to problems involving diffused and noisy data.
Main Results:
- The Euler integration theory is successfully extended to tame R-valued functions.
- The integral operator exhibits non-linear behavior, deviating from traditional integration.
- A significant Morse-theoretic interpretation of the integral operator is established.
- The extended framework proves advantageous for integrating diffused and noisy data.
Conclusions:
- The extension of Euler integration to tame functions provides a powerful new mathematical tool.
- The non-linear nature and Morse-theoretic interpretation offer novel insights into integration theory.
- This approach has practical implications for signal processing and data analysis in sensor networks.
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