A series of meetings designed to allow post-doc and Ph.D. students to present their research topics and promote collaborations.
On one Wednesday each month, a different research topic is presented in simple and accessible terms.
The seminars are designed to be attended by post-doc and Ph.D. students, but graduates and undergraduates are welcome.
Seminars are organised by Armando Capasso and Elia Onofri, with the participation of Martina Miseri and Bruno Renzi.
Ph.D. courses in mathematics are coordinated by Prof. Alessandro Giuliani.
Enroll yourself or visualise the events calendar.
Abstract.
The theory of Higgs bundles over smooth complex projective varieties is a crossroad
of algebraic geometry, complex differential geometry and mathematical physics of course.
In this talk I will not go neither into the history of these very interesting mathematical objects
nor their applications in physics. Instead I will try to explain what are the "ingredients"
which one involves in this definition; to be clear, I will attempt to explain the geometric origins
and the meanings of these "ingredients".
If the time permits, I will introduce some notion of "positivity" for Higgs bundles,
which are the main topics of my Ph.D. thesis.
Abstract.
Within the last decades, many efforts were devoted to describing the dynamics of vehicular traffic flow on road networks,
either to analyse or to predict normal and abnormal situations (e.g. traffic jams, accidents, ...).
Mathematical models are used, in this sense, to describe many different aspects of traffic dynamics.
Often, however, the increasing amount of data available through the omnipresent sensors scattered on the road networks
can not be used in their wholeness by mathematical models, hence leaving data full potential concealed.
The temporal-sequence nature of this kind of data makes Artificial Intelligence suitable to unleash its capabilities.
In this talk, we analyse the structure of a set of data provided by Autovie Venete S.p.A. and we present two AI approaches.
Autovie Venete is the company in charge of the management of the A4 Italian highway "Trieste-Venice" and its branches
and it provides us flux and velocity data gathered minute-wise from fixed sensors dispatched every 10–15 km.
We extensively analysed such data and we built two AI methodologies that enable us to:
References.
Abstract. Elliptic fibrations are strongly characterised by their singular fibers. We analyze the moduli spaces of elliptic surfaces over the projective line ℙ1 and construct a stratification of these spaces in terms of the singular fibers that the surfaces have. In order to do that, we need to investigate a very natural problem: let ℙd be the space parametrizing homogeneous degree d polynomials in two variables; what happens if the roots of the polynomials collapse? Given a partition λ of d, how is the locus in ℙd corresponding to polynomials having roots with the multiplicities prescribed by λ?
Abstract. Each presentation consists in a short talk (15 minutes) about the students scientific profiles and their research topics.
Abstract. We'll start with defining the normal bundle of a smooth variety (or manifold) M and motivate the Thom isomorphism from differential geometry. This will lead us to the definition of a virtual fundamental class [M] and we'll discuss its relations to the Chow ring A*(M). After a concrete computation in a specific case, we'll get an outlook on applications to moduli problems in sheaf theory, if time permits.
References.
Meeting. LINK
Abstract. After a brief overview of statistical mechanics and of the mathematical challenges it tries to address, we will consider as guiding example the dimer model, which admits an exact solution and exhibits a very rich behavior. Thanks to its integrability we will be able to explicitly compute the large scale limit of the quantities characterizing the system. After explaining its interpretation as a model of random surfaces, we will give a characterization of the phase diagram in terms of fluctuations of this surface. Time permitting we will discuss the universality of the model.
Partecipants.