243176 Geometry and Analysis in non-smooth spaces (S) (WiSe 2023/2024)

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Non-smooth spaces naturally arise in various branches of mathematics and its applications, for instance as limits of smooth Riemannian manifolds, through singularity formation in geometric flows or as discrete structure in data.

A natural framework for non-smooth spaces are metric measure spaces, i.e. spaces equipped only with the structure of a metric and a reference measure. In this seminar we will study analytic and geometric properties of such spaces and in particular how to develop a notion of curvature (lower bounds) for these objects using the theory of optimal transport.
Metric measure spaces with curvature bounds provide a robust framework that allows for the development of far reaching analytic and geometric results akin to classical results for smooth manifolds such a diameter and volume growth estimates or isoperimetric inequalities. The investigation of this class of spaces has been a highly active research field in the last decade and continues to spawn fascinating new developments.

We will work on familiarising ourselves with the foundations of the theory, developing central results and highlighting some recent developments according to the preferences of the participants.

Possible topics include:

  • Introduction to metric geometry
  • Basic theory of optimal transport and the Wasserstein distance
  • Characterisation of curvature-dimension bounds on manifolds through optimal transport
  • Synthetic curvature-dimension bounds for metric measure spaces
  • Convergence of metric measure spaces and stability of curvature-dimension bounds
  • Bakry-Emery criterion and characterisation of curvature-dimension bounds via the heat flow and Brownian motion
  • Heat flow on metric measure spaces
  • Equivalence of the Bakry-Emery and Optimal transport approaches
  • Functional inequalities on metric measure spaces via curvature
  • Synthetic curvature bounds for discrete spaces
  • time-dependent metric measure spaces and (non-smooth) super Ricci flows

Preliminary meeting: Tuesday October 17 16:00

If you are interested in the seminar but not able to attend the meeting, please contact me by email.

The seminar will take place starting from December 2023. The precise schedule will be arranged according to the participants.

Requirements for participation, required level

Background in measure theory and functional analysis is desired. Depending on the topic, knowledge in Riemannian geometry and or PDEs is helpful.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
one-time Di 16-18 V3-201 17.10.2023 Preliminary meeting
one-time Di 16-18 T2-208 24.10.2023 2. Preliminary meeting
weekly Mo 10-12 V3-201 15.-29.01.2024
weekly Di 10-12 V3-201 16.-30.01.2024
one-time Di 10-12 U2-119 23.01.2024

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Subject assignments

Module Course Requirements  
24-M-P1 Profilierung 1 Profilierungsseminar Study requirement
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24-M-P1a Profilierung 1 Teil A Profilierungsseminar Study requirement
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24-M-P1b Profilierung 1 Teil B Profilierungsseminar Study requirement
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24-M-P2 Profilierung 2 Profilierungsseminar Study requirement
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24-M-PWM Profilierung Wirtschaftsmathematik Profilierungsseminar Study requirement
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Mathematik / Promotion Subject-specific qualification   1  

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Address:
WS2023_243176@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Wednesday, October 4, 2023 
Last update times:
Thursday, January 11, 2024 
Last update rooms:
Thursday, January 11, 2024 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Department
Faculty of Mathematics
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440430100