Manjunath Krishnapur

• Contact

  • Office N25, Dept. of Mathematics.
  • Phone +91-80-2293 3207.
  • E-mail manju-att- iisc-dot-ac-dot- in
• Education

  • Ph.D. 2006, University of California, Berkeley.
  • M.Stat 2001, Indian Statistical Institute, Bangalore, Kolkata.
  • B.Stat (Hons) 1999, Indian Statistical Institute, Kolkata.
• Employment

  • Associate professor 2013-
  • Assistant Professor 2009-2013 Indian Institute of Science, Bangalore.
  • Postdoc 2006-2008, University of Toronto, Canada.
  • Postdoc 2006, SAMSI and UNC, Chapel Hill.
• Papers

  • One idea and two proofs of the KMT theorems [Preprint, arXiv:2008.03287]
    
  • Random words in free groups, non-crossing matchings and RNA secondary structures (with Siddhartha Gadgil)
    Indian J. Pure Appl. Math. (2022) [Preprint, arXiv:2007.12109]
    
  • How Many Modes Can a Mixture of Gaussians with Uniformly Bounded Means Have? (with Navin Kashyap) Information and Inference: Volume 11, Issue 2, (2022), 423--434 [Preprint, arXiv:2005.01580]
    
  • Lower Deviations in $\beta$-ensembles and Law of Iterated Logarithm in Last Passage Percolation. (with Riddhipratim Basu, Shirshendu Ganguly and Milind Hegde) Israel Journal of Mathematics 242, (2021) 291--324 [Preprint, arXiv:1909.01333]
    
  • A relative anti-concentration inequality. (with Sourav Sarkar)
    [Preprint, arXiv:1612.09045]
    
  • Persistence probabilities in centered, stationary, Gaussian processes in discrete time. (with Krishna M.) Indian J. Pure Appl. Math. 47, pages 183--194 (2016) [Preprint, arXiv:1506.00753]
    
  • Rigidity hierarchy in random point fields: random polynomials and determinantal processes. (with Subhroshekhar Ghosh) Communications in Mathematical Physics, 388, (2021), 1205--1234 [Preprint, arXiv:1510.08814]
    
  • Phase Transitions for the Uniform Distribution in the PML Problem and its Bethe Approximation. (with Chun Lam Chan, Winston Fernandes and Navin Kashyap)
    SIAM J. Discrete Math. Volume 31, No. 1, (2017), 597--631, [Preprint, arXiv:1510.08814]
    
  • Universality of the Stochastic Airy Operator. (with Brian Rider and Bálint Virág)
    Communications on Pure and Applied Mathematics Volume 69, Issue 1, (2016), 145--199, [arXiv:1306.4832]
    
  • The Ginibre ensemble and Gaussian analytic functions. (with Bálint Virág)
    Int. Math. Res. Not. IMRN 2014, no. 6, (2014), 1441--1464 [arXiv:1112.2457]
    
  • Lipschitz correspondence between metric measure spaces and random distance matrices. (with Siddhartha Gadgil)
    Int. Math. Res. Not. IMRN 2013, no. 24, (2013), 5623--5644 [arXiv:1110.6333]
    
  • Nodal length fluctuations for arithmetic random waves. (with Pär Kurlberg and Igor Wigman)
    Ann. Math. vol. 177, no. 2, (2013), 699--737 [arXiv:1111.2800]
    
  • The single ring theorem. (with Alice Guionnet and Ofer Zeitouni)
    Ann. Math. vol. 174 (2011), 1189--1217 [arXiv:0909.2214]
  • Derivation of an eigenvalue probability density function relating to the Poincare disk. (with Peter Forrester)
    J. Phys. A: Math. Theor. vol. 42 (2009), 385204 [arXiv:0906.5223]
  • Appendix to Random matrices: Universality of ESDs and the circular law. (Main authors: Terence Tao and Van Vu)
    Ann. Probab. 38 (2010), 2023--2065. [arXiv.math.PR/0807.4898]
  • From random matrices to random analytic functions.
    Ann. Probab. vol. 37 (2009), no. 1, 314--346 [arXiv.math.PR/0711.1378]
  • Overcrowding estimates for zeroes of Planar and Hyperbolic Gaussian analytic functions.
    J. Stat. Phys. vol. 124 (2006), no. 6, 1399--1423. [arXiv.math.PR/0510588]
  • Determinantal Processes and Independence. (with J.Ben Hough, Yuval Peres and Bálint Virág)
    Probab. Surv. vol. 3, 206--229, 2006. [arXiv.math.PR/0503110]
  • Recurrent graphs where two independent random walks collide finitely often. (with Yuval Peres)
    Electron. Comm. Probab. vol. 9, paper no. 8, 72--81, 2004. [arXiv.math.PR/0406487]
  • Zeros of Random Analytic Functions [arXiv.math.PR/0607504] Ph.D. thesis University of California, Berkeley. Spring 2006.

• Thesis, Book, Lecture notes

  • Ph.D. thesis Zeros of Random Analytic Functions [arXiv.math.PR/0607504] University of California, Berkeley. Spring 2006.
  • Book Zeros of Gaussian analytic functions and Determinantal point processes (joint with J.Ben Hough, Yuval Peres and Bálint Virág )
    Published by AMS (American Mathematical Society)
  • Real and complex zeros of random polynomials and analytic functions - Lectures given at LPS-VI, Kolkata (Dec 2011).
  • Random matrix theory course notes (An older but different version)
  • First course in probability and statistics (for second year UG students at IISc)
  • Probability: Part-1 (measure theory), Part-2 (probability theory), Part-3 (martingales), Part-4 (Brownian motion). Last two are very rough and incomplete.
  • Problems in probability theory
  • Gaussian processes
  • SLE seminar notes - Part 1 (complex analysis, mainly)
  • Anti-concentration (lectures given at IITB, Jan 2016)
  • Topics in analysis (from a course)
  • Fourier analysis and applications (from a course)
  • Problems in measure theory
  • Measure theory Here is a shorter version (from an IST mini-course) Also lecture videos

• Recorded lectures

  • Measure theory (22 lecture course given in 2021)
  • Gaussian processes (33 lecture course given in 2020. Thanks to Ritvik Radhakrishnan for creating this!)
  • SLE short course (4 lectures) and SLE seminar (long) (Thanks to Ritvik Radhakrishnan again)
  • Fourier analysis and applications

• Students

  • PhD. students:
    • Tulasi Ram Reddy On Critical Points of Random Polynomials and Spectrum of Certain Products of RandomMatrices (2016)
    • Kartick Adhikari Hole probabilities for determinantal point processes in the complex plane (2017)
    • Nanda Kishore Reddy Eigenvalues of products of random matrices (2017)
    • Lakshmi Priya M.E. Nodal sets of random functions (2021)
    • Jnaneshwar Baslingker (in progress)
  • M.S. thesis students: Raghavendra Tripathi (Determinantal processes and stochastic domination - 2019), Indrajit Jana (Matchings between point processes - 2012)
  • Int. PhD. project students: Raghavendra Tripathi (2018), Prateek Kumar Vishwakarma (2017), Indrajit Jana (2011) and Kartick Adhikari (2011)
  • UG project students: Terrence George George (2015), Venkata Ramana (2015), Anamay Chaturvedi (2016), Pranav Nuti (2018), Dhanus Lal (2022)
  • External students: Nishad Bapatdhar (masters thesis (2018)), Ananya Singhal (projects (2021) and (2022)),
  • Summer students: Arundhati Krishnan (basic probability (2009), real analysis (2010)), Sujayam Saha (random matrix theory (2010)), Subhabrata Sen and Pragya Sur (Random walks, mixing times (2011)), Suryateja Gavva (Analytic number theory (2011)), Hitesh Gakhar, Ashish Chandra and Sourav Sarkar (Random walks (2012)), Jigyasa Gaurav (Basic analytic number theory (2012)), Pratyay Datta, Rushil Nagda and Tanya Goyal (2013), Supriya N (Markov chains (2014)), Sourav Sarkar (anti-concentration (2014)), Debatosh Das and Arnab Datta (branching processes (2014)), Soumyo Biswas (continued fractions (2014)), Sanal Prasad (analytic number theory (2014)), Sridhar Venkatesh (analytic number theory (2015)) and Bhavya Teja (random walks (2015)), Sunidhi Taneja and Rameez Qureshi (discrete probability (2016)), Samyak (hyperbolic plane (2016)), Abhratanu Saha (Real analysis (2016)), Sayantan Khan (Fourier analysis (2016)), Prasenjit Dubey (Statistics (2016)), Gaurang Sriramanan (analytic number theory, Primes in P (2017)), Raunak Ray, Siddhaarth Sarkar, Aditya Raut (random walks, mixing times (2017)), Shubhamoy Nandan (weak convergence (2017)), Nishad Bapatdhar (Statistics in high dimensions (2017)), Anirban Basak, Saptarsi Ghosal, Somak Laha and Sayak Chatterjee (Markov chains (2019)), Deep Ghoshal and Arghya Chakraborty (percolation (2019)), Nafia Saleem (basic algebra (2019)), Swarup Pakiriswamy (analytic number theory (2019)), Chinmay S I (random walks (2020)), Aytijhya Saha (data science (2022)), Soham Mallick and Supratik Basu (random polynomials (2022)), Arunava Gantait and Samprit Chakraborty (discrete probability (2022)), Upendra Singh Parmar (Markov chains (2022)), Bijayan Ray (topics in analysis (2022))

• Teaching

  (For most recent course notes, look under Lecture notes above. What is below may be outdated, but you can find old exams and such)

  • Fourier analysis with applications [Fall 2021]
  • Gaussian processes [2020] (Also in [Spring 2014])
  • Probability Theory [Fall 2020] (Also in 2019 Fall 2015 and Spring 2015 and Spring 2010)
  • Martingales and Brownian motion [Spring 2020] (Also 2016?)
  • Topics in analysis [Spring 2019] (Also [Spring 2017] and [Fall 2014])
  • Introduction to probability and statistics [Fall 2018] (Also Fall 2016, Fall 2013 and Fall 2012)
  • Measure and integration [Spring 2021] (Also [Spring 2020], [Spring 2018])
  • Random matrix theory [Fall 2017] (Also Spring 2011)
  • Probability models [Fall 2017] (Also Fall 2011)
  • Problems in Brownian motion [Spring 2012].
  • Functional Analysis [Fall 2010].
  • Brownian motion (or is it this link?) [Fall 2009].
  • A first course in Probability [Summer 2009].
  • SLE seminar [Summer and Fall 2010].

• Seminars

  • Bangalore probability seminar calendar and you tube channel
  • One world probability seminar
  • Lectures on Probability and Stochastic Processes
• Resources for students

  • Suggested reading for students in probability Written with myself as a B.Stat/M.Stat student in mind, need not be useful to anyone today.
  • ISI Bangalore course notes
  • Some people: Borcherds. Aldous. Peres. Tsirelson
  • TIFR lectures on mathematics
  • OEIS
  • WolframAlpha