On random tridiagonal matrices and the beta log-gas

Bachelor Thesis (2019)
Author(s)

R.J. Breunissen (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

W.G.M. Groenevelt – Mentor (TU Delft - Analysis)

E.M. van Elderen – Graduation committee member (TU Delft - Mathematical Physics)

Gioia Carinci – Graduation committee member (TU Delft - Applied Probability)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Rens Breunissen
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Rens Breunissen
Graduation Date
21-06-2019
Awarding Institution
Delft University of Technology
Project
['Bachelor Project']
Programme
['Applied Mathematics']
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

In this thesis the beta log-gas probability density function is discussed. It is shown that there is a strong link between this density function and Jacobi matrices. A change of variables exercise shows that the distribution of eigenvalues is exactly like the quadratic beta log-gas. The change of variables gives the normalization constant for the quadratic beta log-gas. Finally, it is made likely that the Jacobi matrix adheres to Wigners semicircle law, and that the beta log-gas is limited by the semicircle distribution.

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