Nonextensive statistical mechanics and central limit theorems I - Convolution of independent random variables and q-product

Physics – Condensed Matter – Soft Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, 4 figures. To appear in the Proceedings of the conference CTNEXT07, Complexity, Metastability and Nonextensivity, Ca

Scientific paper

10.1063/1.2828765

In this article we review the standard versions of the Central and of the Levy-Gnedenko Limit Theorems, and illustrate their application to the convolution of independent random variables associated with the distribution known as q-Gaussian. This distribution emerges upon extremisation of the nonadditive entropy, basis of nonextensive statistical mechanics. It has a finite variance for q < 5/3, and an infinite one for q > 5/3. We exhibit that, in the case of (standard) independence, the q-Gaussian has either the Gaussian (if q < 5/3) or the a-stable Levy distributions (if q > 5/3) as its attractor in probability space. Moreover, we review a generalisation of the product, the q-product, which plays a central role in the approach of the specially correlated variables emerging within the nonextensive theory.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Nonextensive statistical mechanics and central limit theorems I - Convolution of independent random variables and q-product does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Nonextensive statistical mechanics and central limit theorems I - Convolution of independent random variables and q-product, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonextensive statistical mechanics and central limit theorems I - Convolution of independent random variables and q-product will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-715280

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.