Archivio 2026 150 seminari

Settembre
dal giorno
03/09/2026
al giorno
04/09/2026
Andrea Bruno Carbonaro
Relazione all'interno del convegno: Functional Analysis and PDEs
analisi matematica
Settembre
dal giorno
03/09/2026
al giorno
04/09/2026
Luca Francesco Giuseppe Lorenzi
Relazione all'interno del convegno: Functional Analysis and PDEs
analisi matematica
Settembre
dal giorno
03/09/2026
al giorno
04/09/2026
Maria Rosaria Lancia
Relazione all'interno del convegno: Functional Analysis and PDEs
analisi matematica
Settembre
dal giorno
03/09/2026
al giorno
04/09/2026
Simone Creo
Relazione all'interno del convegno: Functional Analysis and PDEs
analisi matematica
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Biagio Cassano
Relazione all'interno del convegno: ASK 2026 Conference in Geometric Analysis and PDEs
analisi matematica
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Giovanni Siclari
Quantitative spectral stability for multiple eigenvalues of compact operators
analisi matematica
In this talk we discuss spectral perturbation theory from an abstract perspective. More precisely, we consider a one-parameter family of varying bilinear forms, each of them defined on a (possibly) different Hilbert space. Assuming the stability of the corresponding spectra, in the first part of the talk we discuss a quantification of the rate of convergence. A key feature is the explicit variational characterization of the first term in the asymptotic expansion of the perturbed eigenvalues, which depends on the limit eigenspace and of the magnitude of the perturbation through the reso- lution of a minimization problem. In the second part of the talk, we explore some concrete applications of our abstract results. First, we consider eigenvalue problems for the Laplace-Beltrami operator with varying measure weights; secondly, we in- vestigate the Neumann approximation of the Steklov eigenvalues of the Laplacian; finally, we focus on how the spectrum of the Laplace-Beltrami operator on a Rie- mannian manifold changes when a second small manifold is glued on a small portion of it. This is a joint project with Andrea Bisterzo, Roberto Ognibene and Prasun Roychowdhury.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Antonio Lagioia
Critical curves for a coupled system of semilinear damped σ-evolution equations
analisi matematica
We will consider the coupled system of damped $\sigma$-equation \begin{equation*}\begin{cases} \partial_t^2U + (-\Delta)^\sigma U + D \partial_t U = F(U), & t>0, \ x\in\R^n, \\ (U,\partial_tU)(0,x)=(0,\Phi(x)), & x\in\R^n, \end{cases} \end{equation*} where $\sigma>1$,~$U=(u_1,u_2)\tm$,~$\Phi=(\varphi_1,\varphi_2)\tm$ and \begin{equation*} D U = \begin{pmatrix} a_1(-\Delta)^{\frac{\theta_1}2} & 0 \\ 0 & a_2 (-\Delta)^{\frac{\theta_2}2} \end{pmatrix},\quad \theta_1,\theta_2\in[\sigma,2\sigma], \ a_1,a_2\geq0, \end{equation*} is a damping term in the noneffective case. We will analyze the various scenarios of existence of global-in-time solution that arise due to the semilinear term $F(U)=(f_1(U),f_2(U))\tm$, in the case of a general semilinear coupling \[ F(U)=\begin{pmatrix} c_{11}|u_1|^{p_{11}} + c_{12}|u_2|^{p_{12}}\\ c_{21}|u_1|^{p_{21}} + c_{22}|u_2|^{p_{22}} \end{pmatrix}, \] % or in the case of weak coupling of derivative type \[ F(U)=\begin{pmatrix} |\partial_t u_2|^{p_{2}}\\ |\partial_t u_1|^{p_{1}} \end{pmatrix}. \] Sharp $L^p-L^q$ estimates for the corresponding linear scalar equation and a suitable application of the test function method are crucial for determining the so-called critical curves for the existence of small data solutions.\\ Based on a joint work with Marcello D'Abbicco (University of Bari).
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Salvatore Ivan Trapasso
Quadratic evolutions through the lens of Gabor wave packets
analisi matematica
The purpose of this talk is to present some recent advances in the phase space analysis of quadratic differential operators modeled by the Weyl quantization of a complex-valued quadratic symbol. The first part will focus on metaplectic and Schroedinger propagators, where Gabor wave packet decompositions lead to a structured representation which cap- tures insightful phenomena (such as sparsity, dispersion, spreading, confinement). In the second part, we will discuss how these methods provide a unified framework also for non-selfadjoint quadratic models, where heat-type dissipative effects play a crucial role, emphasizing how a phase space perspective effectively connects all the relevant features of the problem.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Luigi Forcella
Scattering for mass-subcritical NLS with combined nonlinearities
analisi matematica
We consider the NLS equation with combined power-type nonlinearities in the mass-subcritical regime, where a focusing leading term is perturbed by a lower order defocusing term, and we prove small data scattering. The proof relies on the pseudo-conformal transformation in conjunction with a general variational argument used to obtain the positivity of certain modified energies. The smallness assumption is only on the mass of the initial datum, and not on the whole Σ-norm. This is a joint work with J. Bellazzini and V. Georgiev.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Mattia Galeotti
Weak Harnack and rigidity results for the anisotropic Trudinger’s equation
analisi matematica
I will present a work in progress that I am developping jointly with S. Ciani and I. Skrypnik, about the degenerate parabolic equation of Trudinger type in anisotropic form. After recalling the fundamental solutions of Barenblatt type in the anisotropic regime, and the associated sub-potential estimates, I will present a weak Harnack inequality that is adapted to the intrinsic geometry of the problem, and via this inequality I will prove some rigidity results for the non-negative solutions of the equation. This approach opens to a possible extension of the De Giorgi-Nash-Moser theory in non-isotropic setting.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
María Soria Carro
A Fully Nonlinear Parabolic Segregation Problem
analisi matematica
Segregation problems arise when competing species tend to occupy disjoint regions, leading naturally to a free boundary separating them. In this talk, we will discuss a parabolic model in which the diffusion is governed by fully nonlinear operators. We will describe the main ideas behind the existence of Lipschitz solutions, the free boundary condition, and the regularity of the interface near nondegenerate points. This is ongoing joint work with Emily Casey (U. Minnesota), Cornelia Mihaila (Saint Michael’s College), and Clara Torres-Latorre (ICMAT).
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Alessandro Palmieri
Semilinear wave equations with time-dependent coefficients
In this talk, we discuss how the time-dependent coefficients in a semilinear wave equation influence the critical exponent, i.e., the threshold value for the power of the nonlinear term that separates the blow-up region from the global existence region.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Abhrojyoti Sen
Regularity for the fractional logarithmic p-Laplacian
analisi matematica
In this talk, we discuss about the regularity properties of fractional logarithmic p-Laplacian. We prove the Harnack inequality (with tails) and local Hölder regularity for the fractional logarithmic p-Laplace operator. For a suitable function $u,$ the operator reads as the first order derivative \begin{align*} (-\Delta_p)^{s+\log} u:= \frac{{\rm d}}{{\rm d}t}(-\Delta_p)^t u \Big|_{t=s} \end{align*} at any arbitrary order s\in (0, 1). The kernel of this operator involves a logarithmic factor and it changes sign at large scales and, near the diagonal, is more singular than the kernel of the fractional p-Laplacian. To achieve our regularity estimates, we adopt the classical De Giorgi-Nash-Moser techniques in our setting. We also present an example showing that the Harnack inequality fails without tail terms. Our results are new even in the linear case p=2.
Settembre
dal giorno
02/09/2026
al giorno
04/09/2026
Marvin Weidner
Optimal regularity for kinetic equations in bounded domains
The Boltzmann equation is one of the central equations in statistical mechanics and models the evolution of a gas through particle interactions. In recent years, groundbreaking work by Imbert and Silvestre has led to a conditional regularity theory for periodic solutions of the Boltzmann equation. They established that any possible singularity of a periodic solution to the Boltzmann equation must be visible macroscopically. A major open challenge is whether such a theory can be extended to bounded domains with physically relevant boundary conditions. In this talk, I will first give an accessible overview of the conditional regularity program by Imbert and Silvestre, highlighting its main ideas and implications. As a first step toward understanding the boundary case, I will then discuss the smooth- ness of solutions to linear kinetic Fokker-Planck equations in domains with specular reflection and in-flow condition. While the interior regularity of such equations is well understood, their behavior near the boundary has remained open, even in the simplest case of Kolmogorov’s equation. Finally, I will report on recent joint works with Xavier Ros-Oton and Kyeongbae Kim, in which we establish sharp boundary regularity results for this class of equations.
Tal de' Tali
Varietà di Fano
nell'ambito della serie: SEMINARIO DI ALGEBRA E GEOMETRIA
algebra e geometria
teoria delle categorie
Federated Learning (FL) [1] trains a shared model across a population of clients that never expose their local data, replacing centralized empirical risk minimization with distributed optimization over heterogeneous, non-IID sources. The difficulty is mathematical rather than computational: the federation's behavior is governed by the structure of interactions among clients, since conflicting update directions, latent sub-populations, and adversarial or faulty participants emerge from how local data distributions relate. This talk reads these phenomena off the geometry and spectral content of client data. Interactions and clustering. I first introduce FedGWC [3], encoding pairwise client similarity in an interaction matrix built by applying a Gaussian reward to clients' empirical-loss processes. Clustering becomes the analysis of an interacting system, where clients act as particles whose mutual affinities induce homogeneous coalitions. We prove convergence of the Gaussian-weight estimators and introduce the Wasserstein Adjusted Score for cluster cohesion under class imbalance. From detection to clustering. The second part builds on the Wavelet Scattering Transform (WST) [2], a non-expansive, deformation-stable representation summarizing each client by a privacy-preserving spectral embedding computed locally before training. Waffle [4] is a supervised offline detector flagging malicious clients from these embeddings; removing the need for attack labels leads to WASA [5], an unsupervised denoising-autoencoder variant scoring deviations from a learned benign manifold and selecting clients via a Boltzmann-Gibbs sampling rule. Towards zero-shot clustering. I close with ongoing work on zero-shot clustered FL, where cluster assignment is computed offline from a client's spectral signature, with provable guarantees and no additional communication. References: [1] B. McMahan, E. Moore, D. Ramage, S. Hampson, B. Aguera y Arcas. Communication-Efficient Learning of Deep Networks from Decentralized Data. AISTATS, PMLR 54:1273-1282, 2017. [2] S. Mallat. Group Invariant Scattering. Communications on Pure and Applied Mathematics, 65(10):1331-1398, 2012. [3] A. Licciardi, D. Leo, E. Fani, B. Caputo, M. Ciccone. Interaction-Aware Gaussian Weighting for Clustered Federated Learning. Proc. 42nd Int. Conf. on Machine Learning (ICML), PMLR 267:37642-37666, 2025. [4] A. Licciardi, D. Leo, D. Carbone. Wavelet Scattering Transform and Fourier Representation for Offline Detection of Malicious Clients in Federated Learning. IEEE Internet of Things Journal, 2026. doi:10.1109/JIOT.2026.3671698. [5] A. Licciardi. WASA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning. Accepted, IEEE Int. Conf. on Omni-layer Intelligent Systems (COINS), 2026.
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Filippo Bracci
Shift-invariant (closed) subspaces in l^2(H^2)
analisi matematica
Lecture 1. l^2 and the shift in l^2. The Hardy space H^2. The shift in H^2. Inner and outer functions; Beurling’s decomposition. Beurling’s theorem. Abstract interpretation of Beurling’s theorem. Shifts in Hilbert spaces. Index of a shift. Equivalence of shifts. Lecture 2. Rota’s universality theorem. Relation with the invariant subspace problem: maximal shift-invariant subspaces. Shift in l^2(H^ 2). The Beurling-Lax theorem. The Beurling-Lax matrix of a shift-invariant subspace of l^2(H^2). Determinantal operators and determinantal subspaces. Lecture 3. Shift-invariant subspaces in l^2(H^2) of finite rank are infinite intersection of determinantal subspaces. Limit of shift-invariant subspaces. Shift-invariant subspaces in l^2(H^2) are limit of infinite intersection of determinantal subspaces. Maximal shift-invariant subspaces in finite direct sum of H^2 and in l^2(H^2).
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
John McCarthy
Contractive distances in complex analysis
analisi matematica
Lecture I: The invariant form of the Schwarz lemma can be interpreted to say that every holomorphic function from the disk D to itself is distance reducing in the pseudohyperbolic metric, an extremely useful property. Caratheodory (1927) showed how to port the pseudohyperbolic metric to any domain U, in one or several variables, by considering all holomorphic maps from U to D. Kobayashi later (1967) dualized the construction, by considering maps from D to U. Every holomorphic map from U_1 to U_2 is distance reducing with respect to both the the Caratheodory distance and the Kobayashi distance. In 1981, Laszlo Lempert proved the wonderful theorem that on convex domains, both these distances are equal to each other. Lecture II: We will discuss Agler's 1990 operator theory proof of Lempert's theorem, which involves a very careful analysis of two point interpolation problems, and the fact that certain two dimensional representations are contractive if and only if they are completely contractive. Lecture III: If V is a lower dimensional subset of a domain U, it has both its intrinsic Caratheodory and Kobayashi distances, and the ones it inherits from U.When are these the same? This is a complex analogue to asking when a submanifold, or subvariety, of a larger manifold is totally geodesic. The question lies somewhere on the nexus of Pick interpolation problems, von Neumann inequalities, contractive distances, and complex geometry. We will discuss what is known, including some recent results with L. Kosinski in the case that U is the polydisk.
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Carme Cascante
Relazione all'interno del convegno: Advanced Courses in Operator Theory and Complex Analysis-ACOTCA2026
analisi matematica
We focus on providing detailed proofs of the quantitative characterizations for a broad class of finite products (words) of these paraproducts act- ing on standard weighted Bergman spaces. These specific cases serve to illustrate the fundamental tools and techniques required to obtain a boundedness characterization for arbitrary words.
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Núria Fagella
Relazione all'interno del convegno: Advanced Courses in Operator Theory and Complex Analysis-ACOTCA2026
analisi matematica
TBA
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Roman Bessonov
Relazione all'interno del convegno: Advanced Courses in Operator Theory and Complex Analysis-ACOTCA2026
analisi matematica
I will discuss how to use the classical Schur's algorithm for analytic functions as a tool for solving inverse spectral problems. The connection between Schur's algorithm and Spectral theory was found very recently. Among other things, it gives sharp spectral stability results for Dirac operators with potentials of class L^2. I will discuss these results and formulate some open questions.
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Stefano Meda
Uncentred Hardy–Littlewood maximal operators on half balls
analisi matematica
A classical result of Hardy and Littlewood states that the uncentred Hardy–Littlewood maximal operator (UHLMO) on balls is bounded on L p (R n ) for all p > 1 and it is of weak type (1, 1). It is well known that, replacing R n with either homogenous trees of degree at least three or the hyperbolic plane, the UHLMO on balls is bounded on L p if and only if p > 2, and it is of restricted weak type (2, 2). Loosely speaking, the different behaviour of the UHLMO on R n and on the hyperbolic plane depends on the fact that (maximal) fam- ilies of balls with large radii have “worse” overlapping properties in the latter case than in the former. In this talk we consider the UHLMO with respect to half balls, and prove that, perhaps surprisingly, this operator is bounded on L p for all p > 1 and it is not of weak type (1, 1) both on homogeneous trees of degree at least three and on the hyperbolic plane. We shall also discuss generalisations of this result to Damek–Ricci spaces. This is joint work with Nikos Chalmoukis (Milano–Bicocca), Effie Papageorgiou (Paderborn) and Federico Santagati (Politecnico di To- rino).
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Sandra Pott
Laplace-Carleson Embeddings: Completing the picture
analisi matematica
Motivated by applications in the control theory of infinite-dimensional systems, several authors have investigated the boundedness of the Laplace transform $\mathcal{L}: L^p(0, \infty) \rightarrow L^q( \mathbb{C}_+, \mu)$ in terms of properties of the measure $\mu$, with the case $q=p=2$ being the classical Carleson Embedding Theorem. We will cover the case $p >2$, thus completing the picture to all $p,q$ with $1/p + 1/q \le 1$. In case $p >2$, the Laplace-Carleson Embedding Theorem can also be seen as an appropriate replacement of the Hausdorff-Young inequality. This is joint work with Eskil Rydhe (Lund).
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Karim Kellay
Complete Interpolating Sequences for Fock Type Spaces
analisi matematica
We obtain a characterization of complete interpolating sequences in a class of Fock-type spaces with radial weights for which such sequences exist. Our criterion is formulated in terms of logarithmic separation and controlled perturbations of a reference sequence satisfying an Avdonin-type condition. This provides a geometric description of complete interpolating sequences and extends previous results of Borichev–Lyubarskii and Baranov–Belov–Borichev on Riesz bases of reproducing kernels in Fock-type spaces. It also yields explicit density criteria for sampling and interpolating sequences. This is joint work with Y. Omari
Giugno
dal giorno
15/06/2026
al giorno
19/06/2026
Kelly Bickel
Some Clark Theory on the Bidisk
analisi matematica
Classical Clark measures are singular measures on the unit circle defined via inner functions that are closely tied to important topics in operator theory and complex analysis (for example, model spaces, compressed shifts, and composition operators). In this talk, we’ll consider an analogous definition for Clark measures associated with two-variable inner functions. For certain classes of such functions, we’ll give exact formulas for these Clark measures, characterize when associated Clark embeddings are unitary, and obtain nice unitary perturbations of pairs of compressed shift operators. This is joint work with John Anderson, Palak Arora, Linus Bergqvist, Joseph Cima, Conni Liaw, and Alan Sola.
Imaging sciences are ubiquitous to assist experts worldwide addressing fundamental questions across observational sciences, biology, medicine, security, astronomy, and beyond. Since the early 2000s, signal and image processing has been significantly shaped by two major trends: sparsity-powered proximal algorithms and deep learning. The former rely on a clever integration of variational formalism and optimization schemes, while the latter hinges on intricately designed neural network architectures. Both approaches have demonstrated high performance across various applications, with deep learning often surpassing pure optimization methods in practical settings. However, for many decision-making processes, optimization methods may remain preferred because of their strong theoretical guarantees for generating reliable solutions. More recently, there has been a surge in hybrid methods combining optimization and deep learning, reaching performance levels at least comparable to traditional deep learning, while providing theoretical guarantees and interpretability. In an era where both proximal algorithms and deep learning have reached advanced maturity and complexity levels, there arises a valuable opportunity to investigate the interplay between these methodological families. This tutorial will aim to show that a unified framework can encapsulate these four important classes of methods to solve inverse imaging problems: (i) variational methods powered by proximal algorithms, (ii) end- to-end neural networks, (iii) unfolded neural networks, and (iv) plug-and-play/implicit prior methods. Outline: The tutorial will hence consist of three main parts: 1. Variational approaches and proximal splitting methods (including introduction to imaging problems); 2. An optimization view of neural networks; 3. Hybrid methods across proximal methods and neural networks. Finally, the remaining time will be dedicated to a hands-on session to use some of the tools discussed in the above sections on imaging problems.
In this course, I will present recent research exploring several innovative directions in neural network design, grounded in mathematical modeling and algorithmic insights. First, we introduce a general framework for constructing neural networks via operator splitting schemes. Starting from a suitable control problem, we discretize it using a carefully designed splitting method. Unrolling this scheme naturally yields new network architectures. We demonstrate this approach with two examples: a simplified UNet and the recently proposed PottsMGNet, both of which emerge naturally from the discretization process. Second, we offer a new mathematical explanation of the widely used UNet architecture. While UNet has been immensely successful in image segmentation tasks, its underlying structure has lacked rigorous theoretical interpretation. We show that UNet can be viewed as a one-step operator-splitting method for a control problem. Each component of the architecture corresponds to an element in the control formulation, and multigrid techniques are used to decompose the control variables. This perspective not only explains the effectiveness of UNet but also connects it with numerical PDE methods. Third, we delve into shape representation and segmentation using neural networks, particularly through the lens of the PottsMGNet framework. Encoder-decoder architectures are prevalent in image processing, yet their mathematical foundations remain incomplete. We reinterpret these architectures using the two-phase Potts model, formulating the segmentation problem as a control problem in the continuous setting. The problem is then discretized—temporally via operator splitting (yielding PottsMGNet) and spatially via multigrid methods. This leads to a network structure that is provably equivalent to encoder-decoder architectures. PottsMGNet, with a soft-thresholding regularizer, demonstrates robustness to network width, depth, and high noise levels, outperforming or matching state-of-the-art networks in accuracy and Dice score. We further extend this framework to handle convex shape representation using level set methods. We derive necessary and sufficient conditions for level set functions to represent convex shapes and apply this to variational models for image segmentation. Efficient numerical algorithms are developed and validated through experiments. To improve segmentation in complex images, we incorporate landmark constraints—either enforcing that the boundary passes through specific points or that certain regions belong to foreground or background. These techniques are broadly applicable to convex shape optimization and can be adapted for other applications.
The course sessions will introduce linear time-invariant (LTI) systems and the related concepts and techniques of convolution, the z-transform, transfer functions, pole-zero diagrams, difference equations, frequency responses, the discrete-time Fourier transform, and frequency spectra. The discrete Fourier transform and Fast Fourier transform will be described and utilized. We will discuss the design and use of digital filters including notch filters for the elimination of tonal noise from signals, with examples and exercises in Matlab. The short-time Fourier transform (STFT) will be introduced. To extend these methods (e.g., to signals with missing data or non-uniformly sampled data), we will explain the use of least-squares (in a deterministic setting) to a variety of signal processing problems through their formulation as inverse problems. Standard LTI filters will be viewed and implemented in matrix form, and matrix-free solvers will be noted. The optimization-based inverse problem formulation framework will be extended from least-squares to nonlinear filters based on sparse signal models. The concept of sparse signal models will be introduced, along with transform-domain sparsity. The STFT, discrete wavelet transform, and total variation will be introduced as examples of transform-domain sparsity. For solving the corresponding optimization problems, the majorization-minimization (MM) framework will be illustrated, leading to iterative reweighted least squares and iterative soft-thresholding algorithms.
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Federico Serena
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Anceschi Francesca
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Yevgenieva Yevgeniia
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Bellini Eugenio
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Vianello Giacomo
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Verzellesi Simone
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Liontou Vasiliki
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Piccinini Mirco
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Bolelli Maria Virginia
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Giugno
dal giorno
04/06/2026
al giorno
05/06/2026
Rossi Tommaso
Relazione all'interno del convegno: NonPUB26 - Nonlocal and Nonlinear PDEs at the University of Bologna 4th edition
analisi matematica
TBA
Ludovico Battista
Can you hear the shape of a Hyperbolic Marimba? Concerto di Superfici Iperboliche
algebra e geometria
analisi matematica
didattica della matematica
interdisciplinare
sistemi dinamici
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Shaked Bader
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Giovanni Framba
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Ervin Hadžiosmanović
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Ana Isaković
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Laura Lankers
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Aprile
dal giorno
08/04/2026
al giorno
10/04/2026
Timothé Lemistre
Relazione all'interno del convegno: Manifolds and groups in Bologna, IV
algebra e geometria
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Sebastian Jaimungal
Equilibrium Liquidity and Risk Offsetting in Decentralised Markets.
finanza matematica
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Andrea Canidio
Becoming Immutable: How Ethereum is Made
finanza matematica
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Fayçal Drissi
The macroeconomics of liquid staking
finanza matematica
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Christof Ferreira Torres
To Spam or Not to Spam: The Rise of Speculative MEV Bots
finanza matematica
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Antonio Russo
DeFi and Crypto-Assets under the MiCA Framework: New Frontiers and Challenges for Financial Supervision
finanza matematica
Gennaio
dal giorno
26/01/2026
al giorno
28/01/2026
Michele Treccani
Token issuance in PoS Networks: where Security meets Economic Sustainability
finanza matematica
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Mirko Mauri
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Brendan Hassett
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Sho Tanimoto
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Ariyan Javan Peykar
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Junliang Shen
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Alessio Sammartano
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Boaz Moerman
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Annalisa Grossi
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
Given an involution on a complex variety, the Smith-Thom inequality says that the total \mathbb{F}_2-Betti number of the fixed locus is no greater than the total \mathbb{F}_2-Betti number of the ambient variety. The involution is called maximal when the equality is achieved. On a Hyper-Kähler manifold X a holomorphic or a anti-holomorphic involution is referred to as a brane involution. While examples of non-compact hyper-Kähler manifolds admitting maximal branes are known, the compact case is more intriguing. In particular, although there exist some K3 surfaces admitting maximal brane involutions, the main result that I will show you is the non-existence of maximal branes on Hyper-Kähler manifolds deformation equivalent to the Hilbert scheme of points on a K3 surface. This talk is based on a joint work with S. Billi, L. Fu and V. Kharlamov.
Gennaio
dal giorno
11/01/2026
al giorno
17/01/2026
Claudio Onorati
Relazione all'interno del convegno: Geometry, arithmetic & cohomology of higher dimensional varieties
algebra e geometria
I will report about my recent joint work with Angel Rios Ortiz on the SYZ conjecture for a special class of singular symplectic varieties. The SYZ conjecture predicts that nef and isotropic line bundles are associated to lagrangian fibrations. After having recalled some generalities about symplectic varieties and the SYZ conjecture, I will state the main result and explain the main ideas behind its proof.