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Geometry and Mathematical Physics

∙ Integrable systems in relation with differential, algebraic and symplectic geometry, as well as with the theory of random matrices, special functions and nonlinear waves, Frobenius manifolds • Deformation theory, moduli spaces of sheaves and of curves, in relation with supersymmetric gauge theories, strings, Gromov-Witten invariants, orbifolds and automorphisms
• Quantum groups, noncommutative Riemannian and spin geometry, applications to models in mathematical physics
• Mathematical methods of quantum mechanics
• Mathematical aspects of quantum Field Theory and String 
Theory
• Symplectic geometry, sub-riemannian geometry

• Geometry of quantum fields and strings

Introduction to rigid analytic geometry-Adic spaces and applications

Abstract:
The course is an introduction to some of the newest approaches to non-archimedean analytic geometry including:
- Huber's adic spaces;
- Raynaud's formal schemes and blow-ups;
- Clausen-Scholze's analytic spaces.
We will focus on specific examples arising from algebraic geometry, Scholze's tilting equivalence of perfectoid spaces and the Fargues-Fontaine curve.

Introduction to rigid analytic geometry-Adic spaces and applications

The course is an introduction to some of the newest approaches to non-archimedean analytic geometry including:- Huber's adic spaces;- Raynaud's formal schemes and blow-ups;- Clausen-Scholze's analytic spaces.We will focus on specific examples arising from algebraic geometry, Scholze's tilting equivalence of perfectoid spaces and the Fargues-Fontaine curve.We will also show how to define (motivic) homotopy equivalences in this setting, with the aim of defining a relative de Rham cohomology for adic spaces over $\mathbb{Q}_p$  and a relative rigid cohomology for schemes o

Introduction to Renormalisation Group for Fermionic Models

This course presents techniques used to rigorously approach the analysis of statistical mechanical systems of Fermions. These include:
i) Gaussian integration using Feynman graphs
ii) Grassmann variables
iii) Renormalisation group scheme
At this point, based on the interests of the audience, we may focus on
iv-a) Brydges-Battle-Federbush formula
iv-b) Examples of physical systems that can be described with Grassmann variables
 
 Location:  A-134 on Tuesday 20/12

Introduction to stochastic matrices and orthogonal polynomials

The course aims at introducing the notion of Random MAtrices and the analysis of their spectral statistical properties. We will study the classical Wigner ensemble with the proof of the celebrated Wigner semicircle law for the eigenvalues. We wil then move on to the definition of more general Unitary Ensembles (where the underlying symmetry is given by the Unitery group) and prove fundamental structural results of Dyson on how to relate their statistical properties to the study of orthogonal polynomials.

C*-ALGEBRAS THAT ONE CAN SEE

C*-algebras are operator algebras forming the conceptual foundation of noncommutative geometry. Since commutative C*-algebras yield categories anti-equivalent to categories of locally compact Hausdorff spaces by the celebrated Gelfand-Naimark equivalence theorem, noncommutative C*-algebras are viewed as function algebras on quantum spaces. Their study from this point of view is referred to as noncommutative topology. Here KK-theory and index theory are among prime tools leading to significant applications.

Introduction to Determinantal Point Processes And Intergrable Probability

The course will present an introduction to the theory of determinantal point processes (DPP) and its use for the solution to the problem of the length of the longest increasing sub- sequence in a large random permutation. A celebrated result, belonging to what is now called ”integrable probability” and first proved by Baik-Deift-Johansson in 1999, asserts that the fluctuation of this length around its average is asymptotically distributed according to the Tracy-Widom distribution, similarly to the largest eigenvalue of a random Hermitian Gauss- ian matrix.

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