Stochastic Representation of Nearly-Gaussian, Nonlinear Processes.

by W. C. Meecham

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback $20.00 $16.00 20% Web Discount

A detailed discussion illustrating the potential of the stochastic representation in statistical physics problems. The use of polynomial functionals of the white noise process is shown for the treatment of certain nonlinear random processes. It is noted that such treatments are useful for nearly-Gaussian processes. Applications of the stochastic representation are reviewed for nonlinear systems and for nonlinear fluid mechanics problems dealing with turbulence. 27 pp. Refs. (KB)

This report is part of the RAND Corporation paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.