Mathematical Physics

Prof. V. Balakrishnan is an Emeritus Professor of Physics at the Indian Institute of Technology (IIT) Madras. He joined the Indian Institute of Technology Madras as a Professor in 1980, and retired as Emeritus Professor in 2013. He was educated at the University of Delhi and received his PhD in theoretical physics from Brandeis University, USA in 1970. He joined IIT Madras after working for a decade at TIFR (Mumbai) and RRC, DAE (Kalpakkam). His research interests have spanned many areas including particle physics, many-body theory, condensed matter physics, stochastic processes, quantum dynamics, nonlinear dynamics and chaos. He has published numerous research papers in these areas and a number of popular pedagogic articles. He has co-authored a monograph titled Beyond the Crystalline State and authored a monograph titled Elements of Non-equilibrium Statistical Mechanics. Over nearly four decades, he has taught a wide variety of extremely popular courses at the undergraduate, postgraduate and doctoral levels, comprising all the standard subjects in physics as well as some new and non-traditional ones. He has received high accolades for his teaching at IIT Madras, and his lectures at numerous courses sponsored by the UGC, DST (SERC) and ICTP (Trieste, Italy) have been well-received by their attendees. His video lecture courses under the auspices of the NPTEL programme of the HRD Ministry (available on YouTube) have received very high acclaim. He has held visiting positions at several institutions abroad. He is a Fellow of the Indian Academy of Sciences.

• Chapter 1: Warming up: Functions of a real variable.- Chapter 2: Gaussian integrals, Stirling's formula, and some integrals.- Chapter 3: Some more functions.- Chapter 4: Generalized functions.- Chapter 5: Vectors and tensors.- Chapter 6: Vector calculus.- Chapter 7: A bit of fluid dynamics.- Chapter 8: Some more vector calculus.- Chapter 9: A bit of electromagnetism and special relativity.- Chapter 10: Linear vector spaces.- Chapter 11: A look at matrices.- Chapter 12: More about matrices.- Chapter 13: Infinite-dimensional vector spaces.- Chapter 14: Linear operators on a vector space.- Chapter 15: Operator algebras and identities.- Chapter 16: Orthogonal polynomials.- Chapter 17: Fourier series.- Chapter 18: Fourier integrals.- Chapter 19: Discrete probability distributions.- Chapter 20: Continuous probability distributions.- Chapter 21: Stochastic processes.- Chapter 22: Analytic functions of a complex variable.- Chapter 23: More on analytic functions.- Chapter 24: Linear response and analyticity.- Chapter 25: Analytic continuation and the gamma function.- Chapter 26: Multivalued functions and integral representations.- Chapter 27: Mobius transformations.- Chapter 28: Laplace transforms.- Chapter 29: Green function for the Laplacian operator.- Chapter 30: The diffusion equation.- Chapter 31: The wave equation.- Chapter 32: Integral equations.