Past Events

Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson

Organizers

Group of people posing for a group photo

The conference brings together researchers from both traditional aspects within Algebraic Topology (such as homotopy theory, knot theory, K-theory, etc.) with more recently developed techniques such as those from Topological Data Analysis and Applied Algebraic Topology (such as persistent homology, applied category theory, quantitative topology, dimension reduction, etc.). 

Having mentored and collaborated with many mathematicians and applied scientists, Gunnar Carlsson has been a central figure in the recent development of both currents.  This week-long conference will therefore explore a wide range of topics at the confluence between Algebraic Topology and Topology Data Analysis. As such it has a strong potential to seed new research directions which will not only widen the landscape of topological techniques in data analysis, but could also suggest new possible directions within algebraic topology. 

Schedule

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Monday, August 1, 2022

Time Activity Location
8:00 am - 8:50 am Coffee and Registration Keller 3-176
8:50 am - 9:00 pm Welcome and Introduction Keller 3-180
9:00 am - 10:00 am Topological explorations of neuron morphology

Kathryn Hess-Bellwald (École Polytechnique Fédérale de Lausanne (EPFL))

Keller 3-180
10:00 am - 10:30 am Coffee Break Keller 3-176
10:30 am - 11:30 am Braids and Hopf algebras

Craig Westerland (University of Minnesota, Twin Cities)

Keller 3-180
11:30 am - 1:00 pm Lunch  
1:00 pm - 1:45 pm Homology crowding in configuration spaces of disks

Hannah Alpert (Auburn University)

Keller 3-180
2:00 pm - 2:45 pm Coarse coherence of metric spaces and groups

Boris Goldfarb (State University of New York - Albany)

Keller 3-180
3:00 pm - 3:45 pm Limits of Dense Simplicial Complexes

Santiago Segarra (Rice University)

Keller 3-180
4:00 pm - 4:45 pm Invertibility in Category Representations

Sanjeevi Krishnan (The Ohio State University)

Keller 3-180

Tuesday, August 2, 2022

Time Activity Location
8:30 am - 9:00 am Coffee Keller 3-176
9:00 am - 10:00 am Motivic Euler characteristics and the Motivic Segal-Becker theorem (Remotely)

Roy Joshua (The Ohio State University)

Keller 3-180
10:00 am - 10:15 am Group Photo  
10:15 am - 10:30 am Coffee Break Keller 3-176
10:30 am - 11:30 am Effective constructions in algebraic topology and topological data analysis

Anibal Medina-Mardones (Max Planck Institute for Mathematics)

Keller 3-180
11:30 am - 1:00 pm Lunch  
1:30 pm - 2:15 pm Tracking Topological Features Across Neural Stimulus Spaces

Chad Giusti (University of Delaware)

Keller 3-180
2:30 pm - 3:15 pm Persistent cup-length

Ling Zhou (The Ohio State University)

Keller 3-180
3:30 pm - 4:15 pm Witness complexes and Lagrangian duality

Erik Carlsson (University of California, Davis)

Keller 3-180
4:30 pm - 5:15 pm Ramification in Higher Algebra

John Berman (University of Massachusetts)

Keller 3-180

Wednesday, August 3, 2022

Time Activity Location
8:30 am - 9:00 am Coffee Keller 3-176
9:00 am - 10:00 am Toward conjectures of Rognes and Church--Farb--Putman (Lecture Remotely)

Jenny Wilson (University of Michigan)

Keller 3-180
10:00 am - 10:30 am Coffee Break Keller 3-176
10:30 am - 11:30 am Path induction and the indiscernibility of identicals

Emily Riehl (Johns Hopkins University)

Keller 3-180
11:30 am - 1:00 pm Lunch  
1:00 pm - 1:45 pm Decomposition of topological Azumaya algebras in the stable range

Niny Arcila-Maya (Duke University)

Keller 3-180
2:00 pm - 2:45 pm Persistent homology and its fibre

Ulrike Tillmann (University of Oxford)

Keller 3-180

Thursday, August 4, 2022

Time Activity Location
8:30 am - 9:00 am Coffee Keller 3-176
9:00 am - 10:00 am Alpha Magnitude (Remotely)

Sara Kalisnik (ETH Zürich)

Keller 3-180
10:00 am - 10:30 am Coffee Break Keller 3-176
10:30 am - 11:30 am Vector bundles for data alignment and dimensionality reduction

Jose Perea (Northeastern University)

Keller 3-180
11:30 am - 1:00 pm Lunch  
1:00 pm - 1:45 pm Equivariant K-Theory of G-Manifolds

Mona Merling (University of Pennsylvania)

Keller 3-180
2:00 pm - 2:45 pm Equivariant methods in chromatic homotopy theory

XiaoLin (Danny) Shi (University of Chicago)

Keller 3-180
3:00 pm - 3:45 pm Gromov-Hausdorff distances, Borsuk-Ulam theorems, and Vietoris-Rips Complexes

Henry Adams (Colorado State University)

Keller 3-180
4:00 pm - 4:45 pm Gratitude

Vin de Silva (Pomona College)

 

Friday, August 5, 2022

Time Activity Location
8:30 am - 9:00 am Coffee Keller 3-176
9:00 am - 10:00 am Speculations

Gunnar Carlsson (Stanford University)

Keller 3-180
10:00 am - 10:30 am Coffee Break Keller 3-176
10:30 am - 11:30 am Approximations to Classifying Spaces from Algebras

Ben Williams (University of British Columbia)

Keller 3-180

Participants

Name Department Affiliation
Henry Adams Department of Mathematics Colorado State University
Hannah Alpert Department of Applied Mathematics and Statistics Auburn University
Niny Arcila-Maya   Duke University
John Berman Department of Mathematics University of Massachusetts
Robyn Brooks Department of Mathematics Boston College
Johnathan Bush Department of Mathematics University of Florida
Marco Campos Department of Mathematics University of Houston
Erik Carlsson Department of Computational and Applied Mathematics University of California, Davis
Gunnar Carlsson Department of Mathematics Stanford University
Christopher Chia Department of Mathematical Sciences Binghamton University (SUNY)
Jacob Cleveland Department of Mathematics Colorado State University
Mathieu De Langis Department of Mathematics University of Minnesota, Twin Cities
Vin de Silva Department of Mathematics Pomona College
Alex Elchesen Department of Mathematics Colorado State University
Russell Funk Strategic Management and Entrepreneurship University of Minnesota, Twin Cities
Thomas Gebhart Department of Computer Science and Engineering University of Minnesota, Twin Cities
Chad Giusti Department of Mathematics University of Delaware
Boris Goldfarb Department of Mathematics and Statistics State University of New York - Albany
Iryna Hartsock Department of Mathematics University of Florida
Kathryn Hess-Bellwald Department of Mathematics École Polytechnique Fédérale de Lausanne (EPFL)
Anh Hoang Department of Mathematics University of Minnesota, Twin Cities
Roy Joshua Department of Mathematics The Ohio State University
Matthew Kahle Department of Mathematics The Ohio State University
Sara Kalisnik Department of Computational and Applied Mathematics ETH Zürich
Jennifer Kloke Data LinkedIn Corporation
Miroslav Kramar Department of Mathematics University of Oklahoma
Sanjeevi Krishnan Department of Mathematics The Ohio State University
Chung-Ping Lai Department of Mathematics Oregon State University
Kang-Ju Lee Department of Mathematical Sciences Seoul National University
Guchuan Li Department of Mathematical Sciences University of Michigan
Wenwen Li Department of Mathematics University of Oklahoma
Miguel Lopez Department of Mathematics University of Pennsylvania
Anibal Medina-Mardones   Max Planck Institute for Mathematics
Facundo Mémoli Department of Mathematics The Ohio State University
Mona Merling   University of Pennsylvania
Elias Nino-Ruiz Department of Computer Science Universidad del Norte
Jose Perea Department of Mathematics and Computer Science Northeastern University
Emily Riehl Department of Mathematics & Statistics Johns Hopkins University
Thomas Roddenberry Department of Electrical and Computer Engineering Rice University
Jerome Roehm Department of Mathematical Sciences University of Delaware
Benjamin Ruppik Institute for Informatics & Institute for Mathematics Heinrich-Heine-Universität Düsseldorf
Eli Schlossberg Department of Mathematics University of Minnesota, Twin Cities
Nikolas Schonsheck Department of Mathematical Sciences University of Delaware
Santiago Segarra Department of Electrical and Computer Engineering Rice University
XiaoLin (Danny) Shi Department of Mathematics University of Chicago
Alexander Smith Chemical and Biological Engineering University of Wisconsin, Madison
Andrew Thomas Center for Applied Mathematics Cornell University
Ulrike Tillmann Mathematical Institute University of Oxford
Mikael Vejdemo-Johansson Department of Mathematics College of Staten Island, CUNY
Elena Wang Department of Computational Mathematics, Science, and Engineering Michigan State University
Craig Westerland School of Mathematics University of Minnesota, Twin Cities
Kirsten Wickelgren Department of Mathematics Duke University
Ben Williams Department of Computational and Applied Mathematics University of British Columbia
Jenny Wilson   University of Michigan
Iris Yoon Mathematical Institute University of Oxford
Ningchuan Zhang Department of Mathematics University of Pennsylvania
Ling Zhou Department of Mathematics The Ohio State University
Shaopeng Zhu Department of Computer Science University of Maryland
Lori Ziegelmeier Department of Mathematics Macalester College

 

The conference is supported by the National Science Foundation under DMS-2223905.

On the long-term regularity of water waves

Alexandru Ionescu (Princeton University)

I will discuss the Euler equations and water waves systems.
The main topics will include

  1. local regularity theory
  2. quartic and quintic energy inequalities
  3. Strichartz estimates, dispersion, and decay
  4. long-term regularity of solutions

Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations

Hao Jia (University of Minnesota, Twin Cities)

In this sequence of lectures, we will introduce the classical stability problem for incompressible Euler and Navier Stokes equations. We will focus on the specific setting of the perturbative regime near a spectrally stable monotonic shear flow, and explain various dynamical phenomena, such as inviscid damping for the Euler equation and enhanced dissipation for the Navier Stokes equations in the high Reynolds number regime. Recent advances and further open problems will also be discussed if time permits.

Singularity formation in incompressible fluids and related models

Jiajie Chen (California Institute of Technology)

Whether the 3D incompressible Euler equations can develop a finite-time singularity from smooth initial data is an outstanding open problem. In these lectures, we will describe some recent progress on singularity formation in incompressible fluids and related models. We will begin with some properties of the 3D Euler equations useful for studying singularity formation and the dynamic rescaling formulation of the 3D Euler equations. Then we will discuss some ideas to overcome some difficulties in singularity formation and study finite time blowup based on the stability of an approximate blowup profile. We will compare this stability and another notion of stability of blowup. Lastly, we will discuss some ideas for constructing finite time blowup from smooth initial data, particularly in 1D models of the Euler equations, which can be helpful in studying the singularity formation of 3D Euler with smooth data.

On the long-term regularity of water waves

Alexandru Ionescu (Princeton University)

I will discuss the Euler equations and water waves systems.
The main topics will include

  1. local regularity theory
  2. quartic and quintic energy inequalities
  3. Strichartz estimates, dispersion, and decay
  4. long-term regularity of solutions

On the long-term regularity of water waves

Alexandru Ionescu (Princeton University)

I will discuss the Euler equations and water waves systems.
The main topics will include

  1. local regularity theory
  2. quartic and quintic energy inequalities
  3. Strichartz estimates, dispersion, and decay
  4. long-term regularity of solutions.

Instability and non-uniqueness in the Navier-Stokes equations

Dallas Albritton (Princeton University)

It is not yet known whether Navier-Stokes solutions develop singularities in finite time. If they do, then the solutions can be continued beyond the singularities as Leray-Hopf solutions. It is therefore a fundamental question, Are Leray-Hopf solutions unique? The goal of this course is to present very recent developments in our understanding of this question.

We will begin by quickly reviewing the Navier-Stokes basics: dimensional analysis, the energy balance, pressure, weak solutions, perturbation theory, and weak-strong uniqueness. To save time, we will not present the complete proofs.

Next, we will explain aspects of the Jia, Sverak, and Guillod program (Jia-Sverak, Inventiones 2014, JFA 2015; Guillod-Sverak, arXiv 2017) and, in particular, how instability in self-similarity variables can generate non-uniqueness. We will briefly discuss bifurcations, stable and unstable manifolds, and, time permitting, a short proof of the existence of large self-similar solutions.

Finally, we will present the recent work (A.-Brue-Colombo, Ann. Math. 2022) which rigorously established non-uniqueness of Leray-Hopf solutions with forcing. We will present the main idea but focus on the spectral perturbation arguments.

No prior knowledge of the Navier-Stokes equations is required, though it might be beneficial to preview background on weak and mild solutions in, for example, Chapters 4 and 11 in Robinson-Rodrigo-Sadowski or Chapters 3 and 5 in Tsai.

Inviscid damping, enhanced dissipation, and dynamical stability for Euler and Navier Stokes equations

Hao Jia (University of Minnesota, Twin Cities)

In this sequence of lectures, we will introduce the classical stability problem for incompressible Euler and Navier Stokes equations. We will focus on the specific setting of the perturbative regime near a spectrally stable monotonic shear flow, and explain various dynamical phenomena, such as inviscid damping for the Euler equation and enhanced dissipation for the Navier Stokes equations in the high Reynolds number regime. Recent advances and further open problems will also be discussed if time permits.

1d scattering theory and its application to nonlinear dispersive equations

Gong Chen (Georgia Institute of Technology)

In these lectures, I will introduce the spectral theory and the scattering theory associated with the 1d Schr\”odinger operator. Then I will illustrate how these tools can be used to understand and compute the large-time behaviors of nonlinear dispersive equations.

Singularity formation in incompressible fluids and related models

Jiajie Chen (California Institute of Technology)

Whether the 3D incompressible Euler equations can develop a finite-time singularity from smooth initial data is an outstanding open problem. In these lectures, we will describe some recent progress on singularity formation in incompressible fluids and related models. We will begin with some properties of the 3D Euler equations useful for studying singularity formation and the dynamic rescaling formulation of the 3D Euler equations. Then we will discuss some ideas to overcome some difficulties in singularity formation and study finite time blowup based on the stability of an approximate blowup profile. We will compare this stability and another notion of stability of blowup. Lastly, we will discuss some ideas for constructing finite time blowup from smooth initial data, particularly in 1D models of the Euler equations, which can be helpful in studying the singularity formation of 3D Euler with smooth data.