Archivio 2026 127 seminari

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.