Potential theory on graphs and applications to continuous problems
Discrete models of classical ‘continuous’ problems have lately become a standard method of investigation. Usually it allows to highlight the geometric and combinatorial nature of a problem at hand singling out the core properties and issues. While sometimes the transition from the continuous medium to a discrete one can either result in a loss of information or drastically change key features of the objects in consideration, nevertheless, these approaches are immensely useful and interesting, both by themselves and as an instrument for continuous analysis.
This course aims to present an in-depth introduction to one such discrete model. On the one hand, it is one of the simpler ones, dealing mostly with trees and their variants, and, on the other hand, it already provides a significant insight into the behavior of harmonic functions on the unit disc or on a poly-disc. We will discuss potential theory, linear and non-linear, in the context of certain types of graphs, and demonstrate some of the applications to the more classical problems.
The key part of the model is the so-called weighted Hardy operator, and its embedding properties. We cover three main cases of the underlying graphs – trees, lattices and their products. Applications of the method include Carleson and trace measures, capacitary estimates and multi-parametric potentials.
This course aims to present an in-depth introduction to one such discrete model. On the one hand, it is one of the simpler ones, dealing mostly with trees and their variants, and, on the other hand, it already provides a significant insight into the behavior of harmonic functions on the unit disc or on a poly-disc. We will discuss potential theory, linear and non-linear, in the context of certain types of graphs, and demonstrate some of the applications to the more classical problems.
The key part of the model is the so-called weighted Hardy operator, and its embedding properties. We cover three main cases of the underlying graphs – trees, lattices and their products. Applications of the method include Carleson and trace measures, capacitary estimates and multi-parametric potentials.
日期
2023年06月02日 至 07月14日
位置
Weekday | Time | Venue | Online | ID | Password |
---|---|---|---|---|---|
周三 | 13:30 - 15:05 | A3-1-101 | ZOOM 09 | 230 432 7880 | BIMSA |
周五 | 13:30 - 16:05 | A3-1-101 | ZOOM 09 | 230 432 7880 | BIMSA |
修课要求
No previous exposure to potential theory is assumed. The listener should be acquainted with basics of real analysis, functional analysis and, for some topics, should have some exposure to probability theory (martingales) and complex analysis.
课程大纲
i. Introduction: setting, models and origins
ii. Axiomatic nonlinear potential theory
iii. Important examples: Riesz-Bessel kernels and graph potentials
iv. Sobolev spaces vs. potential spaces
v. The tree as a metric space, Hausdorff measures.
vi. Frostman lemma
vii. Strong capacitary inequality according to Maz'ya and according to Adams
viii. Hardy (trace) inequality on trees: characterizations involving capacity and energy
ix. The Muckenhoupt-Wheeden-Wolff inequality
x. Applications: trace inequalities for Sobolev spaces
xi. Applications: Carleson measures, multipliers, and boundary values for the holomorphic Dirichlet space
xii. Hardy embedding on the lattice.
xiii. The bitree and the failure of the maximum principle
xiv. The bitree: small energy majorization
xv. The bitree: capacity of exceptional sets and strong capacitary inequality
xvi. Hardy embedding on the bitree: capacitary characterization
xvii. Hardy embedding on the bitree: energy characterization
xviii. Hardy embedding on the bitree: single boxes
xix: Hardy embedding: tri-tree and d-trees
xx. Counterexamples on a d-tree
xxi. Applications: Carleson measures for Hardy-Sobolev spaces on the polydisc
ii. Axiomatic nonlinear potential theory
iii. Important examples: Riesz-Bessel kernels and graph potentials
iv. Sobolev spaces vs. potential spaces
v. The tree as a metric space, Hausdorff measures.
vi. Frostman lemma
vii. Strong capacitary inequality according to Maz'ya and according to Adams
viii. Hardy (trace) inequality on trees: characterizations involving capacity and energy
ix. The Muckenhoupt-Wheeden-Wolff inequality
x. Applications: trace inequalities for Sobolev spaces
xi. Applications: Carleson measures, multipliers, and boundary values for the holomorphic Dirichlet space
xii. Hardy embedding on the lattice.
xiii. The bitree and the failure of the maximum principle
xiv. The bitree: small energy majorization
xv. The bitree: capacity of exceptional sets and strong capacitary inequality
xvi. Hardy embedding on the bitree: capacitary characterization
xvii. Hardy embedding on the bitree: energy characterization
xviii. Hardy embedding on the bitree: single boxes
xix: Hardy embedding: tri-tree and d-trees
xx. Counterexamples on a d-tree
xxi. Applications: Carleson measures for Hardy-Sobolev spaces on the polydisc
参考资料
1. D. R. Adams, L. I. Hedberg, Function Spaces and Potential Theory, Grundlehren der Mathematischen Wissenschaften 314, Springer-Verlag, Berlin, 1996, xii+366 pp.
2. N. Arcozzi, P. Mozolyako, K.-M. Perfekt, G. Sarfatti, Bi-parameter Potential theory and Carleson measures for the Dirichlet space on the bidisc, arXiv:1811.04990
3. N. Arcozzi, R. Rochberg, E.T. Sawyer, B.D. Wick, Potential theory on trees, graphs and Ahlfors regular metric spaces, Potential Analysis 41 (2), 2014, 317-366
4 . N. Aronszajn, Theory of Reproducing Kernels, Transactions of the American Mathematical Society, 68 (3), 1950, 337-404
5. K. Falconer, The Geometry of Fractal Sets, Cambridge University Press, 1985, 184 pp.
6. R. Lyons, Y. Peres, Probability on Trees and Networks, Cambridge University Press, New York, 2016, xv+699, available at https://rdlyons.pages.iu.edu
7. P. Mozolyako, G. Psaromiligkos, A. Volberg, P. Zorin-Kranich, Carleson embedding on tri-tree and on tri-disc, Revista Matematica Iberoamericana, 38, (7), 2022, 2069-2116.
8. E. Sawyer, Weighted inequalities for the two-dimensional Hardy operator, Studia Math. 82 (1985), no. 1, 1--16.
9. Mörters, P., & Peres, Y. (2010). Brownian Motion (Cambridge Series in Statistical and Probabilistic Mathematics). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511750489
2. N. Arcozzi, P. Mozolyako, K.-M. Perfekt, G. Sarfatti, Bi-parameter Potential theory and Carleson measures for the Dirichlet space on the bidisc, arXiv:1811.04990
3. N. Arcozzi, R. Rochberg, E.T. Sawyer, B.D. Wick, Potential theory on trees, graphs and Ahlfors regular metric spaces, Potential Analysis 41 (2), 2014, 317-366
4 . N. Aronszajn, Theory of Reproducing Kernels, Transactions of the American Mathematical Society, 68 (3), 1950, 337-404
5. K. Falconer, The Geometry of Fractal Sets, Cambridge University Press, 1985, 184 pp.
6. R. Lyons, Y. Peres, Probability on Trees and Networks, Cambridge University Press, New York, 2016, xv+699, available at https://rdlyons.pages.iu.edu
7. P. Mozolyako, G. Psaromiligkos, A. Volberg, P. Zorin-Kranich, Carleson embedding on tri-tree and on tri-disc, Revista Matematica Iberoamericana, 38, (7), 2022, 2069-2116.
8. E. Sawyer, Weighted inequalities for the two-dimensional Hardy operator, Studia Math. 82 (1985), no. 1, 1--16.
9. Mörters, P., & Peres, Y. (2010). Brownian Motion (Cambridge Series in Statistical and Probabilistic Mathematics). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511750489
听众
Undergraduate
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笔记公开
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语言
英文
讲师介绍
Pavel Mozolyako is an associate professor at St. Petersburg State University. He leads PhD program in mathematics at the department of Mathematics and Computer Science. He got his PhD degree in 2009, at St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences. He was a postdoc at Norwegian University of Science and Technology, University of Bologna, and a visiting professor at Michigan State University. His research considers mostly boundary behaviour of harmonic functions and discrete models in potential theory.