Indian researcher helps prove math conjecture from the 1950s

Jul 17, 2013 by Rob Knies

On June 18, Adam Marcus and Daniel A. Spielman of Yale University, along with Nikhil Srivastava of Microsoft Research India, announced a proof of the Kadison-Singer conjecture, a question about the mathematical foundations of quantum mechanics. Ten days later, they posted, on Cornell University's arXiv open-access e-prints site, a manuscript titled Interlacing Families II: Mixed Characteristic Polynomials and The Kadison-Singer Problem.

Thousands of academic papers are published every year, and this one's title wouldn't necessarily earn it much attention beyond a niche audience … except for the fact that the text divulged a proof of a mathematical conjecture more than half a century old—and the ramifications could be broad and significant.

The Kadison-Singer conjecture was first offered in 1959 by mathematicians Richard Kadison and Isadore Singer. In a summary of the achievement, the website Soul Physics says, "… this conjecture is equivalent to a remarkable number of open problems in other fields … [and] has important consequences for the foundations of physics!"

That description will get no argument from Ravi Kannan, principal researcher in the Algorithms Research Group at Microsoft Research India.

"Nikhil Srivastava and his co-authors have settled an important, 54-year-old problem in mathematics," Kannan says. "They gave an elegant proof of a conjecture that has implications for many areas of mathematics, computer science, and quantum physics."

Srivastava offers a layman's explanation of what he, Marcus, and Spielman have achieved.

"We proved a very fundamental and general statement about quadratic polynomials that was conjectured by [mathematician] Nik Weaver and that, he showed, implies Kadison-Singer. The proof is based on a new technique we developed, which we call the 'method of interlacing families of polynomials.'"

The proof—for a more technical, extended discussion, see Srivastava's post on the Windows on Theory blog—elicited the most basic of emotions from Srivastava when he got a chance to contemplate what he and his colleagues had wrought.

"My main reaction was awe at how beautiful the final proof was," he recalls. "I actually started laughing when I realized that it worked. It fit together so beautifully and sensibly you knew it was the 'right' proof and not something ad hoc. It combined bits of ideas that we had generated from all over the five years we spent working on this."

The Soul Physics site goes on to state, "Settling this conjecture shows an important way in which our experiments are enough to provide a complete description of a quantum system."

Srivastava is in complete agreement.

"It has clear implications for the foundations of ," he says. "This is something [theoretical physicist] Paul Dirac mistakenly thought was obvious, and Kadison and Singer and many other experts thought this was probably false.

"It implies that it is possible to 'approximate' a broad class of networks by networks with very few edges, which should have impact in combinatorics and algorithms. Finally, it is equivalent to several conjectures in signal processing and applied mathematics that seem to have practical use."

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More information: arxiv.org/pdf/1306.3969v3.pdf

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VendicarE
3 / 5 (4) Jul 17, 2013
Almost completely content free.

MikeBowler
not rated yet Jul 19, 2013
Almost completely content free.

15 votes which rate this article at 4.5 disagree and i disagree aswell, this article describes what this maths means to physics and that is all we really need to know, if you'd like to read up on the actual maths then follow the link provided at the bottom of the article
El_Nose
not rated yet Jul 23, 2013
once again written by a seventh grader ... I understand that many authors may not be very fimilar with a subject but to not include basic things like:

1) what are the implications of the proof
-- answer ) things like quantum Physics which measures independant properties which are mutually exclusive ( momentum vs position ), spin, if you measure all the properties that are possible at one time you can learn everything there is about the particle.