Majumdar, S (CNRS)
Monday 21 April 2008, 16:30-17:30
Statistical-Mechanics and Quantum-Field Theory Methods in Combinatorial Enumeration

Majumdar, S (CNRS) Monday 21 April 2008, 16:30-17:30 Statistical-Mechanics and Quantum-Field Theory Methods in Combinatorial Enumeration

Large deviation of the top eigenvalue of a random matrix

The past half-decade has seen an increasing interaction between combinatorialists, probabilists, computer scientists and theoretical physicists concerned broadly with the study of "probability theory on graphs" or "statistical mechanics on graphs".

The programme will build on this cross-fertilisation. It is particularly timely for a number of reasons:
* methods from mathematical physics are beginning to make their mark on previously intractable combinatorial problems;
* increasing computer power, together with the wide availability of symbolic-algebra packages, has brought the possibility of exploration of non-trivial examples; 
* phase transitions are increasingly being investigated on a wide variety of combinatorial structures, including matroids, set partitions and constraint satisfaction problems, as well as graphs.

Read more at: www.newton.ac.uk/programmes/CSM/

The past half-decade has seen an increasing interaction between combinatorialists, probabilists, computer scientists and theoretical physicists concerned broadly with the study of "probability theory on graphs" or "statistical mechanics on graphs". The programme will build on this cross-fertilisation. It is particularly timely for a number of reasons: * methods from mathematical physics are beginning to make their mark on previously intractable combinatorial problems; * increasing computer power, together with the wide availability of symbolic-algebra packages, has brought the possibility of exploration of non-trivial examples; * phase transitions are increasingly being investigated on a wide variety of combinatorial structures, including matroids, set partitions and constraint satisfaction problems, as well as graphs. Read more at: www.newton.ac.uk/programmes/CSM/

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Large deviation of the top eigenvalue of a random matrix

Large deviation of the top eigenvalue of a random matrix

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