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Learning mathematics

Published 23 April 2007, 06:09 AM

A few months back, I had the privilege (along with Shekhar Borgaonkar of HP Labs India) of getting a five minute tutorial on information theory from Abraham Lempel (of Lempel-Ziv fame) at Los Angeles airport. During the course of the conversation, Abraham remarked "India was always strong in mathematics". While most educated Indians are familiar with Srinivasa Ramanujan and his contributions, India has produced a number of other good mathematicians who have not gained the same popularity. One possible reason for this is that the real value of mathematics comes from applying the results of mathematics to other disciplines and there are only a few Indians I know who are extremely good at this. One of them is Dr. M. Vidyasagar who works at TCS research in Hyderabad. Besides knowing lots of mathematics, Dr. Sagar is also very good at applying them to domains like control theory, neural networks and learning theory. He also writes in a very engaging style, a good example is this survey of problems in computational biology.

My own Math education has been limited to the Computer science-oriented Math courses I took in University (Linear Algebra, Discrete Maths, Graph theory and Numerical methods). I really liked graph theory because there are so many interesting applications of graph theory. It was only much after University that I bought Hamming's book on Numerical methods and gained some appreciation for the subject. A few years back, I tried improving my mathematics knowledge by reading some texts on real analysis, differential geometry, topology etc but soon decided that it was not the right approach.

While it is not difficult to comprehend the theorems and results, it is difficult to appreciate the results without knowing how and where they can be applied. Dr. Vidyasagar suggested to me that it is better to read textbooks written by Russian professors as they usually teach undergraduate courses (and some like AN Kolmogorov even taught in schools). I briefly taught a couple of undergrad level math courses, so I can appreciate that it might be hard to keep an undergrad or schooler engaged without explaining where the theorems are applied. If anyone reading this blog knows of Russian books on advanced math topics, please recommend some. Until a few years back, it was common to find Russian text books by Mir publishers (of Moscow) on Indian footpaths, somehow they have become harder to find in recent years.

Around a year back, I read this post by Steve Yegge and have been trying to further my knowledge of mathematics from Wikipedia. Some Wikipedia mathematics pages, such as the pages on Eigen Vectors, Singular value decomposition and Riemann hypothesis are well written and give a very comprehensive overview. The links on these pages are also extremely informative. However, a lot of Wikipedia math pages appear to be edited only by mathematicians and do not appear (atleast to me) to be of the same quality as the eigen vector page. Nevertheless, the Wikipedia approach has worked reasonably well and I am a lot more awareness of math theorems and results than I was a year ago.

Does your field of work require you to learn and use mathematics? If it does, what are your approaches to learning mathematics?

Posted By rkrish67 | 2 Comments | Trackbacks | Permalink


Comments

Krishnan, this is an excellent post! I agree that Wikipedia is a good place to start, but the quality is uneven and soon, after following many links, one discovers it is more efficient to go to the library and get a book. When I went to school in Switzerland, we also used many Russian books because the quality was high and the price low (when available, we would get translations from the German Democratic Republic). In the last two years of high school we used N. Piskunov's "Differential and Integral Calculus," which was actually good enough to serve me in my undergraduate studies. In my undergraduate studies I also used F.R. Gantenmacher's two volumes on matrices, and of course the three volumes on theoretical physics by L.D. Landau and E.M. Lifschitz.
# Wednesday, April 25, 2007 03:33 AM by Giordano Beretta
Thanks Giordano. The thing I like about Wikipedia is that one can take in short chunks at a time and the descriptions are human readable and not just mathematician readable. The hyperlinked nature allows a broader exploration of topics. I had read about both the Borel-Cantelli lemma and the infinite monkeys theorem before but had never connected them, the wiki page on the Borel-Cantelli lemma links to the infinite monkeys theorem. It is this kind of discovery that makes Wikipedia a joy (I never saw this connection made in a real analysis text). I remember reading somewhere that even Math Ph.D students read the Wiki math pages and learn something new. But a systematic study would require a textbook, so Wikipedia cannot substitute a book (atleast for now). But some day in the future, it might be possible to stitch a textbook from Wikipedia content.
# Wednesday, April 25, 2007 10:13 AM by Krishnan Ramanathan

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