[csdm-rutgers] Theoretical Computer Science/Discrete Math Seminars -- Week of September 29, 2014

Anthony Pulido apulido at ias.edu
Tue Sep 23 11:00:37 EDT 2014


INSTITUTE FOR ADVANCED STUDY
School of Mathematics
Princeton, NJ 08540

Theoretical Computer Science/Discrete Math Seminars
Week of September 29, 2014


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To view mathematics in titles and abstracts, please click on the talk's link.
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Monday, September 29

Computer Science/Discrete Mathematics Seminar I
Topic: 		Breaking \(e^n\) barrier for deterministic poly-time approximation of the permanent and settling Friedland's conjecture on the Monomer-Dimer Entropy
Speaker: 	Leonid Gurvits, City University of New York
Time/Room: 	11:15am - 12:15pm/S-101
Abstract Link:	http://www.math.ias.edu/seminars/abstract?event=52294



Tuesday, September 30

Computer Science/Discrete Mathematics Seminar II
Topic: 		Uniform words are primitive (cont'd)
Speaker: 	Doron Puder, Member, School of Mathematics
Time/Room: 	10:30am - 12:30pm/S-101
Abstract Link:	http://www.math.ias.edu/seminars/abstract?event=63424

1 Breaking \(e^n\) barrier for deterministic poly-time approximation of 
the permanent and settling Friedland's conjecture on the Monomer-Dimer 
Entropy
    Leonid Gurvits

Two important breakthroughs on the permanent had been accomplished in 
1998: A. Schrijver proved Schrijver-Valiant Conjecture on the minimal 
exponential growth of the number of perfect matchings in k-regular 
bipartite graphs with multiple edges; N. Linial, A. Samorodnitsky and A. 
Wigderson introduced a strongly poly-time deterministic algorithm to 
approximate the permanent of general non-negative matrices within the 
multiplicative factor en. Many things happened since them, notably the 
prize-winning Jerrum, Vigoda, Sinclair FPRAS for the permanent. 
Schrijver's lower bound was vastly generalized and improved; moreover 
the new proofs, based on hyperbolic(aka stable) polynomials, are 
transparent, easy, non-computational. Yet, until now there were no 
deterministic poly- time algorithms to approximate the permanent of 
general non-negative matrices within the multiplicative factor \(F^n\), 
\(F < e\). We prove the following double-sided inequality for 
doubly-stochastic matrices \(A\): \[ \prod_{1 \leq i,j \leq n} (1 - 
A(i,j))^{1-A(i,j)} \leq per(A) \leq C^n \prod_{1 \leq i,j \leq n} (1 - 
A(i,j))^{1-A(i,j)},\] where \(C \approx 1.9022\). Thus a simple(of 
linear complexity) extension of the scaling algorithm approximates the 
permanent within the multiplicative factor \( \approx 1.9022^n\). A 
slightly more involved argument proves S. Friedland's conjecture on the 
Monomer-Dimer Entropy, which is a generalization of Schrijver-Valiant 
Conjecture to partial matchings(aka dimers) that in the limit cover a 
given fraction \(t \in [0, 1]\) of vertices. The main result in this 
direction is asymptotically sharp lower bounds on the coefficients of 
the weighted matching polynomial associated with a doubly-stochastic 
matrix. We note that such polynomials played crucial role in the recent 
breakthrough on the existence of “large” bipartite regular Ramunajan 
Graphs with prescribed degree. The talk is for general 
mathematical/computer science/physics audience. I will gently go through 
the very rich and surprising history of the topic: amazingly, the 
popular statistical physics(and lately machine learning) heuristic, 
called Bethe Approximation, is one of the (completely rigorous) keys in 
our approach. The Bethe Approximation was already applied by physicists 
to the Monomer-Dimer Problem in late 1930s and was mysteriously hidden 
in Schrijver’s 1998 paper. Time permitting, a conjecture, connecting the 
Bethe Approximation, Correlation Inequalities and hyperbolic 
polynomials, will be stated and discussed. (Joint work with Alex 
Samorodnitsky (Hebrew University).)

http://www.math.ias.edu/seminars/abstract?event=52294

2 Uniform words are primitive (cont'd)
    Doron Puder

Let \(G\) be a finite group, and let \(a\), \(b\), \(c\),... be 
independent random elements of \(G\), chosen at uniform distribution. 
What is the distribution of the element obtained by a fixed word in the 
letters \(a\), \(b\), \(c\),..., such as \(ab\), \(a^2\), or 
\(aba^{-2}b^{-1}\)? More concretely, do these new random elements have 
uniform distribution? In general, a word \(w\) in the free group \(F_k\) 
is called uniform if it induces the uniform distribution on every finite 
group \(G\). So which words are uniform? A large set of uniform words 
are those which are 'primitive' in the free group \(F_k\), namely those 
belonging to some basis (a free generating set) of \(F_k\). Several 
mathematicians have conjectured that primitive words are the only 
uniform words. In a joint work with O. Parzanchevski, we prove this 
conjecture. I will try to define and explain all notions, and give many 
details from the proof. I will also present related open problems.

http://www.math.ias.edu/seminars/abstract?event=63424

Computer Science/Discrete Math Seminars can be found on our web page:

http://www.math.ias.edu/csdm
http://www.math.ias.edu



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