Wednesday 2 March 2016 h. 14:30, Room 2BC30
Luisa Andreis (Dip. Mat.)
"Introduction to propagation of chaos for meanfield interacting particle systems"
Abstract
The purpose of this talk is to give an overview on meanfield interacting particle systems. We will focus on the notion of propagation of chaos, which aims to understand the connection between the microscopic and the macroscopic description of phenomena. Usually, an interacting particle system refers to the microscopic level and a corresponding nonlinear process describes the macroscopic one. In a great number of situations, under hypothesis on the symmetry of the system and on the type of interaction, the link between these two levels is precisely given by propagation of chaos.
Since the talk is intended for a general audience, we start by recalling basic definitions and results of Probability. Then we introduce the basic concepts of the theory, by means of classical examples as well as recent ones.
Wednesday 17 February 2016 h. 14:30, Room 2BC30
Luigi Provenzano (Dip. Mat.)
"On the behavior of membranes and plates upon perturbations of shape and density"
Abstract
In this talk we consider eigenvalue problems for second and fourth order partial differential operators. Such problems arise from the study of the transverse vibrations of thin membranes and plates, respectively. We are interested in the behavior of the normal modes of vibration (i.e., the eigenvalues) upon variations of the shape and the density of the membrane/plate. In particular, we shall consider the issue of the optimization of the eigenvalues depending on such parameters, under suitable constraints (of fixed volume or mass, for example).
The talk is of introductory type and is intended for a general audience, no matter the field of expertise.
Wednesday 20 January 2016 h. 14:30, Room 2BC30
Gabriella D'Este (Univ. Milano, Dip. Mat.)
"Quivers, representations of algebras and beyond"
Abstract
I will illustrate some results obtained by using techniques and general ideas coming from representation theory of finite dimensional algebras. These algebras will almost always be "path algebras" given by quivers, that is oriented graphs, with finitely many vertices and arrows. In less technical words, I will describe some results of applied linear algebra.
Thursday 17 December 2015 h. 14:30, Room 2BC30
Andrea Loreggia (Padova, Dip. Mat.)
"Computational social choice: between AI and Economics"
Abstract
During the last decades, the trend has been for disciplines to converge on common techniques to be used in similar problems, besides focusing on specific techniques to be used in narrow domains. AI is one of the best examples: the crossfertilisation process leads to a very fascinating solutions. Consider for example genetic algorithms, which mimic evolutionary mechanisms to solve search and optimization problems. The individualistic approach of problem solving becomes insufficient: concepts, techniques and experts need to collaborate to get a better understanding of the problems they would like to solve. The techniques that AI makes available are being used by many other disciplines. AI nowadays inundates our everyday life with tools and methods that are hidden in our household electrical devices, smartphones and much more. Starting from the field of multiagent systems, researchers in AI recently considered the use of models and problems from economics. Notable examples are voting systems used to aggregate the results of several search engines, game theoretic methods that analyse the complex interaction of autonomous agents, and matching procedures implemented on largescale problems such as the coordination of kidneys transplants and the assignment of students to schools. In this scenario, a number of research lines federated under the name of computational social choice. The need for a computational study of collective decision procedures is clear. On the one hand, from crowdsourcing to university admission ranking, many reallife applications apply existing social choice methods to large scale problems. On the other hand, collective decisionmaking is not a prerogative of human societies, and multiagent systems can use these methods to coordinate their actions when facing complex situations. In this talk, we would like to focus on two examples that highlight the impact of a computational approach to classical problems of collective choice. First, by studying repeated decisions (think of opinion polls that precede an election) to evaluate the quality of the result, and, second, by devising innovative procedures to predict the preferences of a collection of individuals.
Wednesday 2 December 2015 h. 14:30, Room 2BC30
Marta Zoppello (Padova, Dip. Mat.)
"A simple mathematical model for microswimmers"
Abstract
What does it mean swimming? How can mathematics treat this problem? What is the best strategy to move in a certain direction?
The study of the swimming strategies of microorganisms is attracting increasing attention in the recent literature. One of the main difficulties is the complexity of the hydrodynamic forces exerted by the fluid on the swimmer as a reaction to its shape changes.
We show that there exists an optimal swimming strategy which leads to minimize the time to reach a desired target. Numerical simulations performed are in good agreement with theoretical predictions and suggest that the optimal strategy is periodic, i.e. composed of a sequence of identical strokes.
Wednesday 18 November 2015 h. 14:30, Room 2BC30
Michele Donini (Padova, Dip. Mat.)
"Learning with Kernels"
Abstract
To solve a problem on a computer, we need an algorithm, which is a sequence of instructions that should be carried out to transform the input into the output. For some tasks, we do not have an algorithm: we know what the input is, we know what the output should be but we do not know how to transform the input into the output. What we lack in knowledge, we make up for in data. We can exploit data to "learn" using a Machine Learning algorithm, that is able to extract automatically the algorithm for the task.
In this talk, we give an introduction to a family of Machine Learning algorithms called Kernel Methods, starting from a general introduction to the Machine Learning problems and its purposes. After building up the fundamental tools of learning with kernels, we will introduce the principal ideas behind this family of algorithms and its ability to learn automatically using data.
The opening day of the Doctoral School in Mathematics will take place on October 7, 2015, at
11:30 in room 1BC45.
Schedule:
11:30: meeting, brief introduction of Seminario Dottorato 2015/16
11:3012:30: talk of Daria Ghilli "Rare events in finance by PDE methods"
12:301330: presentation of the activities/courses of PhD Programme 2015/16
13:30: refreshments at the common room of 7th floor
For further information feel free to contact Pierpaolo Soravia.
Wednesday 7 October 2015 h.11:30, Room 1BC45
Daria Ghilli (Padova, Dip. Mat.)
“Rare events in finance by PDE methods"
Abstract
Rare events, or tails events, are events which happen only “rarely", in other words, they are situated in the tails of the distribution. Take for example the wellknown experiment of tossing a coin: our experience (and also the law of large numbers) says that, after a big enough number of tosses, the most probable value for the empirical mean of the outcomes is 1/2. But what about the probability of being far from 1/2? This is a typical rare event.
The theory who deals with the estimation of tails events is called "large deviations theory" and has many applications, for example, in risk management and finance.
After an introduction to the theory, we consider applications to financial mathematics, concerning the estimation of price of particular type of options (outof the money) near their maturity. These are typical financial objects whose value deteriorates quickly in time and then are considered, in this context, as rare events.
Our approach  mainly of analytical nature  is different from the classical probabilistic ones.
This seminar will be held as a special event during the OPENING DAY OF THE DOCTORAL SCHOOL.
Concorso Pubblico per l’ammissione al
Corso di Dottorato in SCIENZE MATEMATICHE (XXXI ciclo)
(Curriculi: Matematica, Matematica Computazionale) – A.A. 2015/2016
Pubblicazione esito “valutazione titoli”
Si ricorda che la presente graduatoria ha carattere provvisorio. La graduatoria definitiva verrà pubblicata, come da bando di concorso (art. 8) dal 3 agosto 2015 mediante:
ValutazioneTitoli.pdf (Username: risultati2015 , Password comunicata privatamente)
Wednesday 24 June 2015 h. 15:00, room 2BC30
Federico Piazzon (Padova, Dip. Mat.)
"Why should people in approximation theory care about (pluri)potential theory?"
Abstract
We give an introductory summary of results in (pluri)potential theory that naturally come into play when considering classical approximation theory issues both in one and (very concisely) in several complex variables. We focus on Fekete points and the asymptotic of orthonormal polynomials for certain $L^2$ counterpart of Fekete measures. No specific knowledge on the topic is assumed.
