[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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