| Group Actions, Geometry and Dynamics [3] | TBA (cancelled) |
4:00pm -
KT205
|
| Analysis [4] | Dyadic shifts and sparse domination in the non-doubling setting | 4:00pm - |
In this talk, we will discuss the dyadic Hilbert transform, which is a useful model of its continuous counterpart and the prototypical example of a so-called "Haar-shift". After discussing some background and motivation in the Lebesgue measure case, we will turn to the situation where the L2 Haar functions are defined with respect to a locally finite Borel measure μ, which may not satisfy the dyadic doubling condition. In this more general setting, Lopez-Sanchez, Martell, and Parcet identified a weak regularity condition on the measure μ which characterizes weak-type and Lp estimates for the dyadic Hilbert transform. I then will discuss joint work with Jose Conde-Alonso and Jill Pipher, where we obtain a domination of the dyadic Hilbert transform (and more generally, Haar shifts) by a modified sparse form. Sparse domination is a common feature of modern harmonic analysis, and it is often applied to obtain quantitatively sharp weighted estimates. As an application, we characterize the class of weights where the dyadic Hilbert transform and related operators are bounded. A surprising novelty is that the usual (dyadic) Muckenhoupt A2 condition is necessary, but no longer sufficient in the non-doubling setting, and our modified weight condition reflects the "complexity" of the underlying Haar shift. |
| Applied Mathematics [5] | Covariance Alignment with Optimal Transport |
3:00pm -
LOM 214
|
Dataset or feature alignment is a longstanding problem appearing in many areas including computer vision, natural language translation, and biostatistics. Here we show how a novel type of alignment problem arises in the matching of “untargeted” biological data where the concentrations of unlabeled biological molecules (features) are recorded over a collection of samples or patients. Partnering with biologists at the International Agency for Research on Cancer (IARC), we develop a practical and efficient tool for untargeted dataset alignment to be used in laboratory settings. Our approach aligns feature covariance matrices between datasets using the celebrated Gromov-Wasserstein (GW) algorithm from optimal transport. Motivated by the success of our approach, we investigate the statistical complexity of Gromov-Wasserstein for aligning empirical covariance matrices. Remarkably, we find that the GW algorithm achieves the same minimax optimal rates for this problem as a (quasi) maximum likelihood estimator, proving that it is statistically competitive. These results offer a new challenging setting for graph matching of Wishart (covariance) matrices and the first statistical rates of estimation for the Gromov-Wasserstein algorithm. |
| Colloquium [6] | Canceled |
4:00pm - |
| Analysis [4] | The diffusive limit of the random Schödinger equation | 4:00pm - |
The random Schrödinger equation models the motion of a quantum particle in a random environment and more generally is a toy model for waves in random media. A major open question is to demonstrate diffusive transport of solutions over very long time scales. This question is related to understanding Ohm’s law and the spectrum of the random Schrodinger operator. A diffusive limit was first rigorously established by Erdos, Salmhofer, and Yau using diagrammatic arguments in 2008. In this talk I will explain some of the ideas that go into an alternative derivation of the diffusive limit. The new key ingredients are a phase space path integral, a geometric interpretation of diagrams, and an approximate semigroup property. |
| Friday Morning Seminar [7] | Friday Morning Seminar |
10:00am -
KT801
|
A relaxed-pace seminar on impromptu subjects related to the interests of the audience. Everyone is welcome. The subjects are geometry, probability, combinatorics, dynamics, and more! |
Links
[1] https://calendar.math.yale.edu/list/calendar/grid/week/abstract/2024-W14
[2] https://calendar.math.yale.edu/list/calendar/grid/week/abstract/2024-W16
[3] https://calendar.math.yale.edu/seminars/group-actions-geometry-and-dynamics
[4] https://calendar.math.yale.edu/seminars/analysis
[5] https://calendar.math.yale.edu/seminars/applied-mathematics
[6] https://calendar.math.yale.edu/seminars/colloquium
[7] https://calendar.math.yale.edu/seminars/friday-morning-seminar