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What does a Point Process Outside a Domain tell us about What's Inside?
Probability| Speaker: | Subhro Ghosh, UC Berkeley |
| Location: | 2112 MSB |
| Start time: | Wed, Oct 3 2012, 4:10PM |
Description
In a Poisson point process we have independence between disjoint spatial
domains, so the points outside a disk give us no information on the points
inside. The story gets a lot more interesting for processes with stronger
spatial correlation. In the case of Ginibre ensemble, a process arising
from eigenvalues of random matrices, we prove that the outside points
determine exactly the number of points inside, and further, we demonstrate
that they determine nothing more. In the case of zero ensembles of
Gaussian power series, we prove that the outside points determine exactly
the number and the centre of mass of the inside points, and nothing
further. These phenomena suggest a certain hierarchy of point processes
according to their rigidity; Poisson, Ginibre and the Gaussian power
series fit in at levels 0, 1 and 2 in this ladder.
Time permitting, we will also look at several interesting consequences
of our results, with applications to continuum percolation, reconstruction
of Gaussian entire functions, completeness of random exponentials, and
others. Based on joint works with Manju Krishnapur, Fedor Nazarov, Yuval
Peres and Misha Sodin.
