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Maria Gordina @ Roma Tor Vergata
by Anna Vidotto 10 Jan '20

10 Jan '20

Dear all, I would like to announce the following talk that will be held on *Thursday January* *16th* 2020, at *4:30 PM*, in *Aula Dal Passo* of the Department of Mathematics, University of Rome Tor Vergata. Speaker: *Maria Gordina* (University of Connecticut) Title: *Stochastic analysis and geometric functional inequalities* Abstract: We will survey different methods of proving functional inequalities for hypoelliptic diffusions and the corresponding heat kernels. Some of these methods rely on geometric methods such as curvature-dimension inequalities (due to Baudoin-Garofalo), and some are probabilistic such as coupling, and finally some use structure theory and a Fourier transform on Lie groups. For nilpotent groups, the latter can be interpreted as an eigenfunction expansion of the hypoelliptic heat kernel. This is based on joint work with F. Baudoin, B. Driver, T. Melcher, Ph. Mariano. This seminar is part of the activity of the MIUR Department of Excellence Grant 2018-2022, CUP E83C18000100006. Kind regards, Anna Vidotto --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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Seminario di Antonio Galves a Roma 1
by Faggionato, Alessandra 10 Jan '20

10 Jan '20

Buongiorno in aggiunta al seminario di Maria Gordina di Lunedì 13/01/2020 vi sara' al Dipartimento di Matematica della Sapienza il seminario di Antonio Galves, Martedì 14/01/2020. Sotto l'annuncio esteso. Grazie per l'attenzione Saluti Alessandra Faggionato *************************************************************************************** SEMINARIO DI PROBABILITA’ E STATISTICA MATEMATICA IL giorno 14/01/2020, alle ore 14 nell’Aula di Consiglio del Dipartimento di Matematica, Sapienza Università di Roma Il prof. Antonio Galves dell’Universidade de Sao Paulo terrà una conferenza dal titolo ESTIMATING THE INTERACTION GRAPH OF STOCHASTIC NEURAL DYNAMICS Abstract: We address the question of statistical model selection for a class of stochastic models of biological neural nets.Models in this class are systems of interacting chains with memory of variable length. Each chain describes the activity of a single neuron, indicating whether it spikes or not at a given time. The spiking probability of a given neuron depends on the time evolution of its presynaptic neurons since its last spike time. When a neuron spikes, its potential is reset to a resting level and postsynaptic current pulses are generated, modifying the membrane potential of all its postsynaptic neurons. The relationship between a neuron and its pre- and postsynaptic neurons defines an oriented graph, the interaction graph of the model. The goal is to estimate this graph based on the observation of the spike activity of a finite set of neurons over a finite time. We provide explicit exponential upper bounds for the probabilities of under- and overestimating the interaction graph restricted to the observed set and obtain the strong consistency of the estimator. Our result does not require stationarity nor uniqueness of the invariant measure of the process. Joint work with A. Duarte, E. Locherbach and G. Ost. -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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Annuncio seminario Galves 14/01/2020 RM1
by Nappo, Giovanna 10 Jan '20

10 Jan '20

SEMINARIO DI PROBABILITA’ E STATISTICA MATEMATICA IL giorno 14/01/2020, alle ore 14 nell’Aula di Consiglio del Dipartimento di Matematica, Sapienza Università di Roma Il prof. Antonio Galves dell’Universidade de Sao Paulo terrà una conferenza dal titolo ESTIMATING THE INTERACTION GRAPH OF STOCHASTIC NEURAL DYNAMICS Abstract: We address the question of statistical model selection for a class of stochastic models of biological neural nets.Models in this class are systems of interacting chains with memory of variable length. Each chain describes the activity of a single neuron, indicating whether it spikes or not at a given time. The spiking probability of a given neuron depends on the time evolution of its presynaptic neurons since its last spike time. When a neuron spikes, its potential is reset to a resting level and postsynaptic current pulses are generated, modifying the membrane potential of all its postsynaptic neurons. The relationship between a neuron and its pre- and postsynaptic neurons defines an oriented graph, the interaction graph of the model. The goal is to estimate this graph based on the observation of the spike activity of a finite set of neurons over a finite time. We provide explicit exponential upper bounds for the probabilities of under- and overestimating the interaction graph restricted to the observed set and obtain the strong consistency of the estimator. Our result does not require stationarity nor uniqueness of the invariant measure of the process. Joint work with A. Duarte, E. Locherbach and G. Ost.

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Fwd: Lectureship in Mathematics (Probability) at University College Dublin
by Elia Bisi 09 Jan '20

09 Jan '20

Ricevo e inoltro. ______________________ Elia Bisi Research Scientist School of Mathematics and Statistics University College Dublin Personal webpage <https://eliabisi.wordpress.com/> > Begin forwarded message: > > From: Neil O'Connell <neil.oconnell(a)ucd.ie> > Subject: Lectureship in Mathematics (Probability) at University College Dublin > Date: 9 January 2020 at 13:58:25 CET > To: Neil O'Connell <neil.oconnell(a)ucd.ie> > > Dear Colleagues, > > We are currently advertising a Lectureship in Mathematics (Probability) at University College Dublin. > > Also advertised are Ad Astra Fellowships, these are fixed term positions with research support, in all areas of Mathematics and Statistics. Applications in Probability are particularly welcome. > > For more details, and to apply, go to https://www.ucd.ie/workatucd/jobs/ <https://www.ucd.ie/workatucd/jobs/> (search under 'External Applicants'). > > Please forward to anyone who may be interested in applying. > > Best regards, > Neil > > **** > > Lecturer / Assistant Professor in Mathematics (Probability), UCD School of Mathematics and Statistics (Permanent) > Applications are invited for a permanent post of a Lecturer / Assistant Professor in Mathematics (Probability) within UCD School of Mathematics and Statistics. > > University College Dublin is seeking to appoint an Assistant Professor in Mathematics in the UCD School of Mathematics & Statistics, specifically in the area of Probability. > > UCD School of Mathematics & Statistics is committed to research and teaching across the mathematical sciences, including mathematics, applied mathematics, statistics and actuarial science. > > The successful candidate will be expected to engage in research in Mathematics, including supervision of research students and projects, and to contribute to the School's wide-ranging programme of undergraduate and postgraduate teaching. > > 95 Lecturer / Assistant Professor (above the bar) Salary Scale: €53,773 - €84,544 per annum > Appointment will be made on scale and in accordance with the Department of Finance guidelines. > > Closing date: 17:00hrs (local Irish time) on 6 February 2020 > > **** > > Ad Astra Fellow, UCD School of Mathematics and Statistics > Applications are sought for Ad Astra Fellows within the UCD School of Mathematics and Statistics. > > In support of the 2024 University College Dublin Strategic Plan 'Rising to the Future', UCD has begun an ambitious plan to increase our faculty numbers by 500 over five years. With an initial 5-year contract, research support for these 5 years and the opportunity for an on-going contract subject to performance, there has never been a better time to join the faculty at Ireland's Global University and to live in one of Europe's most vibrant, friendly and connected capital cities. > > UCD School of Mathematics and Statistics is ranked in the top one percent in the world for both Mathematics and Statistics. The School is the largest of its kind in Ireland and offers the greatest choice of programmes at undergraduate, masters and PhD level. Our teaching and research activities cover a broad range including Mathematics, Financial Mathematics, Applied & Computational Mathematics, Statistics, Actuarial Science, Mathematics Education and Data & Computational Science. The School is keen to recruit academic staff to augment the existing research expertise. > > Prior to application, further information (including application procedure) should be obtained from the UCD Ad Astra Fellow website: http://www.ucd.ie/adastrafellows/ <http://www.ucd.ie/adastrafellows/> > > 95 Lecturer/Assistant Professor (above the bar) Salary Scale: €53,773 - €84,544 per annum > Appointment will be made on scale and in accordance with the Department of Finance guidelines > > Closing date: 17.00hrs (Local Irish Time) on 24th January 2020

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Annuncio seminario Galves 14/01/2020 RM1
by Nappo, Giovanna 09 Jan '20

09 Jan '20

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Seminar in Pisa, January 13th 2020
by Dario Trevisan 09 Jan '20

09 Jan '20

Dear all, happy 2020! I would like to announce the following seminar by G. Poly (U. Rennes 1). Best, Dario Trevisan #### time and place: Monday 13th January 2020, 14:00, sala Riunoni (dip. Matematica, università degli studi di Pisa, Pisa). speaker: Guillaume Poly (U. Rennes 1) title: Around Salem-Zygmund Central Limit Theorem and application to roots of random trigonometric polynomials abstract: We shall revisit the Salem-Zygmund Central limit Theorem and get several generalizations: a speed of convergence via Stein's method, a functional counterpart and extension to total variation topology. As an application we prove the almost-sure convergence of the empirical measure of the number of real roots of a random trigonometric polynomial under-mild conditions on the coefficients. This is a joint work with Jurgen Angst.

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extended deadline post doc applications in Graz
by Daniela Bertacchi 08 Jan '20

08 Jan '20

DEADLINE EXTENSION ! Open Assistant position (PostDoc) for 2 1/2 years Graz University of Technology, Austria Institute of Discrete Mathematics Working Groups Structure Theory and Stochastics & Noncommutative Structures (Wolfgang Woess & Franz Lehner) Scheduled to start on March 1, 2020. Requirements: PhD in Mathematics or Technical Mathematics, awarded before the beginning of the engagement. Desired qualifictations: scientific interest in the fields of Stochastic Processes (random walks) and their analytic counterparts, Graph Theory, Geometric Group Theory and Noncommutative Probability, possibly combining those topics. Readiness to collaborate in research projects in these areas. Workload 40 hours/week. Teaching duties of 4 hours per week per semester, in particular for Mathematics in the Engineering sciences, in German (!). For details + how to apply, see https://www.math.tugraz.at/~woess/position EXTENDED DEADLINE FOR APPLICATIONS: January 19, 2020. Wolfgang Woess Institut fuer Diskrete Mathematik, Technische Universitaet Graz, Steyrergasse 30, A-8010 Graz, Austria email: woess(a)TUGraz.at http://www.math.TUGraz.at/~woess <http://www.math.tugraz.at/~woess>

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Seminario di M. Gordina alla Sapienza
by Faggionato, Alessandra 08 Jan '20

08 Jan '20

Buongiorno sotto l'annuncio di un seminario per Lunedi' 13 Gennaio Grazie Saluti Alessandra ************************************************************************************** When: Monday 13 January, 16.00 Where: Sala di Consiglio, Department of Mathematics, University La Sapienza Speaker: Maria Gordina (University of Connecticut) Title: Ergodicity for Langevin dynamics with singular potentials Abstract: We discuss Langevin dynamics of N particles on R^d interacting through a singular repulsive potential, such as the Lennard-Jones potential, and show that the system converges to the unique invariant Gibbs measure exponentially fast in a weighted total variation distance. The proof relies on an explicit construction of a Lyapunov function using a modified Gamma calculus. In contrast to previous results for such systems, our results imply geometric convergence to equilibrium starting from an essentially optimal family of initial distributions. This is based on join work with F.Baudoin and D.Herzog. -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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5-year Lecturer/Assistant Professor in Financial Mathematics UCD School of Mathematics and Statistics
by Andrea Pascucci 07 Jan '20

07 Jan '20

University College Dublin is seeking to appoint a Lecturer/Assistant Professor (Above the Bar) in Financial Mathematics in the School of Mathematics and Statistics. Applicants should have expertise in Financial Mathematics or Computational Finance, or both. It is a 5-year post, commencing on 1st May 2020. The salary scale is €53,773-€84,544 per annum. For further details, and to apply, go to https://www.ucd.ie/workatucd/jobs/ (search under 'External Applicants'). The application period will close at 17:00hrs (local Irish time) on 24th January 2020. Regards, Adamaria Perrotta Programme Director of BSc. in Financial Mathematics UCD School of Mathematics and Statistics -- Adamaria Perrotta School of Mathematics and Statistics S2.85, Science South UCD, Belfield, Dublin 4 00 353 1 716 2590

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Probability Seminar: Richard Kraaij (TUDelft) [Padova, Tue 14/01, 11am]
by Francesca Collet 07 Jan '20

07 Jan '20

*** Apologies for cross-posting *** Dear Colleagues, we would like to invite you to the following Probability seminar that will take place at the Department of Mathematics, University of Padova, on January 14. ____________________________________________________________________________________________________ DR. RICHARD C. KRAAIJ (Delft University of Technology) “Large deviations for weakly coupled slow-fast systems via the comparison principle of an associated Hamilton-Jacobi equation” 14 JANUARY (Tuesday), 11:00; ROOM 1BC50, Dipartimento di Matematica “Tullio Levi-Civita”, Via Trieste 63, Padova ABSTRACT. In statistical physics many interesting phenomena, e.g. behavior of systems at critical parameters or in the theory of hydrodynamic limits, arise from systems having multiple time-scales. A slow component is influenced by fast components, and as the number of interacting components tends to infinity, limiting results for the slow component are obtained in terms of `averaged' versions of the fast components. I will consider in my talk the fluctuations (large deviations) of coupled Markovian systems with two-time scales. These fluctuations can arise from two sources: fluctuations of the slow process itself, or fluctuations of the large time averages of the fast process, effectively leading to a competition of two fluctuation effects. To obtain the large deviation principle, we consider an associated Hamilton-Jacobi-Bellman equation of which the Hamiltonian is given in terms of the two fluctuation effects. We establish under mild conditions that this Hamilton-Jacobi-Bellman equation is well-posed, and as a consequence that we have a large deviation principle for a wide class of weakly coupled Markov processes. Based on joint work with Mikola Schlottke (Eindhoven, The Netherlands). ____________________________________________________________________________________________________ All of you are very welcome. Best regards, Francesca Collet

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