A Large Deviation Approach to Spin-Flip Dynamics

Bachelor Thesis (2026)
Author(s)

L. Cazzaniga (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

F.H.J. Redig – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

S. Stallinga – Mentor (TU Delft - Applied Sciences)

M. Blaauboer – Graduation committee member (TU Delft - Applied Sciences)

J.M.A.M. van Neerven – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2026
Language
English
Graduation Date
10-06-2026
Awarding Institution
Delft University of Technology
Programme
Applied Mathematics, Applied Physics
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

This thesis studies how irreversible macroscopic relaxation emerges from reversible microscopic spin dynamics. For an independent spin-flip system, the empirical magnetization converges to a deterministic relaxation law, while typical fluctuations are described by an Ornstein–Uhlenbeck process. Rare deviations are analysed through fixed-time and pathwise large deviation principles, leading to explicit rate functions and optimal trajectories obtained from a Hamiltonian–Lagrangian formulation. The thesis also discusses how interactions in the two-dimensional Ising model introduce domains, interfaces, and metastability. Overall, large deviation theory quantifies both the probability and the most likely realization of trajectories opposing macroscopic relaxation.

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