Summer Programme 2025

TIFR Centre for Applicable Mathematics is organizing a Summer Programme mainly targeted toward Master’s and entry-level PhD students focusing on Analysis and related topics during the period June 16 - July 11, 2025. The programme will consist of ten 90-minute lectures in each of the following topics:

• Patterns, Entropy and Gibbs measures, by Nishant Chandgotia
  
• Geometric Measure Theory by Debabrata Karmakar
• Microlocal Analysis and Inverse Problems by Venky Krishnan

• Introduction to Harmonic Measure and Geometric Function Theory by Atul Shekhar

• Convex Geometry By Sreekar Vadlamani

The detailed list of topics that will be covered is given below. This set of courses will be offered only in offline format. 

Important Information : Due to budget and accommodation constraints, we cannot offer a fellowship and accommodation to attend this programme. If you are an out of town person interested in attending this programme, please bear this in mind before applying. There are several paying guest accommodations in the vicinity of TIFR CAM and the monthly rent for this is in the range of Rs. 10000. You are free to use the institute cafeteria during your stay in Bangalore where food is available at reasonable prices.

At the end of the program, if you have attended all the lectures, you will be given a participation certificate.

How to Apply

If you are interested in attending this program, please send an email to summerprog@tifrbng.res.in with the following information.

(please cut and paste the following into your email and fill in the details in your email):

Name:

Current programme of study:

Institute/University:

Topic of specialization (if you are a PhD student):

Why are you interested in attending this program? (Give a brief description of up to 500 words):

Important Dates

• Summer Programme Duration : June 16 - July 11, 2025
• Deadline: April 30, 2025
• The list of selected participants will be announced by May 2, 2025 on TIFR CAM website

Topic: Patterns, Entropy and Gibbs measures

Instructor: Nishant Chandgotia

Statistical physics attempts to explain natural physical phenomena like freezing and magnetism by means of simplistic probabilistic models. In this series of lectures, after building on prerequisites like ergodic theory, probability and information theory, we will introduce several models of statistical physics like the Ising model, hardcore model and the dimer model explaining how they arise and what we know about them. In between I also hope to introduce some open questions which have fascinated me for quite a few years like that of the Arctic circle phenomena, formation of quasicrystals and finiteness of phases of a simplistic class of models arising from graph homomorphisms.

References:

1. An introduction to information theory by Cover and Thomas
2. Equilibrium States in Ergodic theory by Keller
3. Thermodynamic Formalism by David Ruelle

Topic: Geometric Measure Theory

Instructor: Debabrata Karmakar

Review of measures: The definition of Lebesgue and Hausdorff measure, Caratheodory measurability, covering theorems, Hardy-Littlewood maximal function and differentiation theorems. 

Hausdorff measures: The length of a curve and one dimensional Hausdorff measure, The Lipschitz functions, Radamacher theorem, Lipschitz extension and Kirszbraun’s theorem, The isodiametric inequality and H^n = L^n, Hausdorff dimension of Lipschitz Graph.

The area formula: The polar decomposition of matrices, Jacobian determinant, The proof of area formula, Applications: length of a curve, surface area of a Lipschitz graph,  volume element of embedded submanifolds, The Gauss-Green formula for C^1-domain.

The coarea formula: The proof of co-area formula, Applications: Polar coordinates, integration over level sets.

Topic: Microlocal Analysis and Inverse Problems 

Instructor: Venky Krishnan

We will review the basics of microlocal analysis and give an introduction to microlocal analysis in imaging and tomography problems. Topics covered will include :

1. Introduction of microlocal analysis
2. Applications of microlocal analysis in tensor tomography problems and image reconstruction problems
3. Applications of microlocal analysis in Calderón inverse problems 

References:

1. The Analysis of Linear Partial Differential Operators by Lars Hormander Vol 1
2. Microlocal Analysis for Differential Operators, By Grigis and Sjostrand

Topic: Introduction to Harmonic Measure and Geometric Function Theory

Instructor: Atul Shekhar

List of topics to be covered include,  Jordan Domains and their conformal equivalence, non-tangential limit, Stolz angle and prime ends, Dirichlet problem and harmonic measure, Caratheodory theorem, some results about univalent functions, Green's functions and Poisson kernels, boundary smoothness, extremal distance, Teichmuller Modulsatz, Bloch Functions and quasicircles. 

References:

1. Harmonic Measure  by Garnett and Marshall
2. Boundary Behaviour of Conformal Maps by Pommerenke

Topic: Convex Geometry

Instructor: Sreekar Vadlamani

Convex sets, metric projections, supporting planes of convex sets, separation theorems of convex sets, convex functions, support function.

Towards the end, we aim to present Steiner's/Weyl's tube formula for very simple cases, and introduce curvature measures.

We will follow Schneider's Convex Bodies: Brunn Minkowski Theory. Of course, just the first and second chapter will be more than enough.