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Assigning probabilities to non-Lipschitz mechanical systems.

Danny E P Vanpoucke1, Sylvia Wenmackers2

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We developed a novel method to assign probabilities to solutions of initial value problems with Lipschitz singularities, using a deterministic model for indeterministic systems. This approach provides a new way to analyze complex differential equations, including Norton's dome.

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Area of Science:

  • Mathematics
  • Physics
  • Applied Mathematics

Background:

  • Initial value problems with Lipschitz singularities pose significant analytical challenges.
  • The physical interpretation of these problems, such as Norton's dome, highlights the need for robust solution methodologies.
  • Existing methods may struggle with the inherent indeterminism and singularities.

Purpose of the Study:

  • To introduce a novel method for assigning probabilities to solutions of initial value problems with Lipschitz singularities.
  • To demonstrate the method's efficacy using a specific physical model (Norton's dome).
  • To bridge the gap between deterministic modeling and probabilistic outcomes in complex systems.

Main Methods:

  • Utilizing finite difference equations for a deterministic framework.
  • Applying techniques from alpha-theory for analyzing infinitesimal perturbations.
  • Incorporating a uniform prior on the canonical phase space.
  • Developing a deterministic, hyperfinite grid model.

Main Results:

  • Successfully assigned probabilities to solutions of the initial value problem.
  • The method provides a probabilistic interpretation for a deterministic model.
  • Demonstrated applicability to problems like the Norton's dome example.

Conclusions:

  • The proposed method offers a robust framework for probabilistic analysis of singular initial value problems.
  • This approach can handle systems previously considered intractable due to singularities.
  • It opens new avenues for research in mathematical physics and computational methods.