ANALYTIC AND PROBABILISTIC METHODS IN MATHEMATICAL PHYSICS A
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basics of probability theory
Oral test which consists in verifying the ability to express oneself in correct mathematical language and to demonstrate some of the theorems encountered during the course.
The course aims to provide an introduction to the theory of discrete-time stochastic processes, in particular to Markov chains
Basics of the abstract theory of measure. Independent and identically distributed random variables. Markov chains. Homogeneous Markov chains. Random walks on groups. Recurrence and transience. Polya’s theorem on randon walks in the n-dimensional integer lattice. Random walks and the discrete heat equation
Basics of the abstract theory of measure. Independent and identically distributed random variables. Markov chains. Homogeneous Markov chains. Random walks on groups. Recurrence and transience. Polya’s theorem on randon walks in the n-dimensional integer lattice. Random walks and the discrete heat equation
Frontal lessons: 64 hours. In the lectures the theoretical notions are developed and the techniques necessary for the application of the theory to the solution of problems in Mathematical Physics are described.
to make an appointment write to posilicano@uninsubria.it
Professors
Borrowers
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Degree course in: MATHEMATICS
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Degree course in: PHYSICS