1,034 research outputs found
A Lower Bound on the Entropy Rate for a Large Class of Stationary Processes and its Relation to the Hyperplane Conjecture
We present a new lower bound on the differential entropy rate of stationary
processes whose sequences of probability density functions fulfill certain
regularity conditions. This bound is obtained by showing that the gap between
the differential entropy rate of such a process and the differential entropy
rate of a Gaussian process with the same autocovariance function is bounded.
This result is based on a recent result on bounding the Kullback-Leibler
divergence by the Wasserstein distance given by Polyanskiy and Wu. Moreover, it
is related to the famous hyperplane conjecture, also known as slicing problem,
in convex geometry originally stated by J. Bourgain. Based on an entropic
formulation of the hyperplane conjecture given by Bobkov and Madiman we discuss
the relation of our result to the hyperplane conjecture.Comment: presented at the 2016 IEEE Information Theory Workshop (ITW),
Cambridge, U
A comparison of FQHE quasi electron trial wave functions on the sphere
We study Haldane's and Jain's proposals for the quasiparticle wave function
on the sphere. The expectation values of the energy and the pair angular
momenta distribution are calculated at filling factor 1/3 and compared with the
data of an exact numerical diagonalization for up to 10 electrons with Coulomb
and truncated quasipotential interaction.Comment: 4 pages, RevTeX 3.0, 3 postscript figures included, UL-05/9
High-Temperature Series Expansions for Random Potts Models
We discuss recently generated high-temperature series expansions for the free
energy and the susceptibility of random-bond q-state Potts models on hypercubic
lattices. Using the star-graph expansion technique quenched disorder averages
can be calculated exactly for arbitrary uncorrelated coupling distributions
while keeping the disorder strength p as well as the dimension d as symbolic
parameters. We present analyses of the new series for the susceptibility of the
Ising (q=2) and 4-state Potts model in three dimensions up to order 19 and 18,
respectively, and compare our findings with results from field-theoretical
renormalization group studies and Monte Carlo simulations.Comment: 16 pages,cmp209.sty (included), 9 postscript figures, author
information under http://www.physik.uni-leipzig.de/index.php?id=2
Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection
- …
