Lecture Course Winter Term 2022/23

Selected Topics in Applied Analysis:
Gradients systems and their gradient flows

Alexander Mielke (WIAS and HU Berlin)



There will be no classes on Thursday 2 February 2023.

Lecture times
Thursday   11:00–12:30 h, Rudower Chaussee 25, Room 1.315
Thursday   13:30–15:00 h, Rudower Chaussee 25, Room 3.011

(On the following Thursdays there will be NO lectures: 24 Nov, 15 Dec, 22 Dec, 2 Feb.)

Office hours: Thursday 10:00-11:00 h in Room 2.104 (RUD 25)
and after special arrangement (via phone/e-mail) at WIAS

General information: Link to PDF (21 Oct 2022)

Prerequisites:
necessary: Analysis I-III, Linear functional analysis, linear partial differential equations
recommended: Direct method in the calculus of variations

Planned Topics:
  1. Introduction to gradient systems and motivation
  2. Gradient systems based on Hilbert spaces
  3. Generalized gradient systems in Banach spaces (via EDP)
  4. Gradient systems in metric spaces (via EVI)
  5. Evolutionary Γ-convergence

Script of the course:   Link to PDF as of 22 January 2023 (62 pages)

Exercise Sheets

Sheet 1 (27.10.2022),   Sheet 2 (17.11.2022)   Sheet 3 (26.1.2023)

Dates for exams (oral): Wed February 15, 2023 and Tue April 4, 2023.

Literature
• Modeling with and of gradient systems: [Ott96, Mie11, Pel14]
• Surveys on gradient systems: [San17, Pel14, ChF10]
• Analysis of gradient systems: [Bré73, CoV90, Ott01, AGS05, MRS13, Mie16, MuS20]

[AGS05] L. Ambrosio, N. Gigli, and G. Savaré. Gradient flows in metric spaces and in the space of probability measures. Lectures in Mathematics ETH Zürich. Birkhäuser Verlag, Basel, 2005.
[Bré73] H. Brézis. Opérateurs maximaux monotones et semi-groupes de contractions dans les espaces de Hilbert. North-Holland Publishing Co., Amsterdam, 1973.
[ChF10] R. Chill and E. Fašangová. Gradient systems. matfyzpress, Charles University Prague, 2010.
[CoV90] P. Colli and A. Visintin. On a class of doubly nonlinear evolution equations. Comm. Partial Differ. Eqns., 15(5), 737–756, 1990.
[Mie11] A. Mielke. A gradient structure for reaction-diffusion systems and for energy-drift-diffusion systems. Nonlinearity, 24, 1329-1346, 2011.
[Mie16] A. Mielke. On evolutionary Γ-convergence for gradient systems (Ch. 3). In A. Muntean, J. Rademacher, and A. Zagaris, editors, Macroscopic and Large Scale Phenomena: Coarse Graining, Mean Field Limits and Ergodicity, Lecture Notes in Applied Math. Mechanics Vol. 3, pages 187-249. Springer, 2016. Proc. of Summer School in Twente University, June 2012.
[MRS13] A. Mielke, R. Rossi, and G. Savaré. Nonsmooth analysis of doubly nonlinear evolution equations. Calc. Var. Part. Diff. Eqns., 46(1-2), 253-310, 2013.
[MuS20] M. Muratori and G. Savaré. Gradient flows and evolution variational inequalities in metric spaces. I: structural properties. J. Funct. Analysis, 278(4), 108347/1-67, 2020.
[Ott96] F. Otto. Double degenerate diffusion equations as steepest descent. Preprint no. 480, SFB 256, University of Bonn, 1996.
[Ott01] F. Otto. The geometry of dissipative evolution equations: the porous medium equation. Comm. Partial Diff. Eqns., 26, 101-174, 2001.
[Pel14] M. A. Peletier. Variational modelling: Energies, gradient flows, and large deviations. arXiv:1402.1990, 2014.
[San17] F. Santambrogio. {Euclidean, metric, Wasserstein} gradient flows: an overview. Bull. Math. Sci., 7(1), 87-154, 2017.