Is Turbulence as Simple as Tossing a Coin?

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dc.creatorBhattacharjee, Jayanta Kumar
dc.creatorChakraborty, Sagar
dc.creatorSaha, Arnab
dc.date2008-11-03
dc.date.accessioned2026-07-07T10:14:52Z
dc.date.available2026-07-07T10:14:52Z
dc.descriptionA large variety of problems in statistical physics use a Gaussian distribution as a starting point. For the problem of intermittency in fluid turbulence, the Gaussian approximation is not a useful beginning. We find that the Cramer's rate function in the theory of large deviations as used in a simple coin toss is a promising starting point for giving an account of intermittency. In addition, it offers another view of Jarzynski equality.
dc.identifierhttps://arxiv.org/abs/0811.0265
dc.identifierhttp://arxiv.org/abs/0811.0265
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173036
dc.subjectStatistical Mechanics
dc.titleIs Turbulence as Simple as Tossing a Coin?
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