A large-deviation approach to passive scalar advection, diffusion and reaction

Duration: 39 mins 51 secs
Share this media item:
Embed this media item:


About this item
Image inherited from collection
Description: Vanneste, J (University of Edinburgh)
Wednesday 30 October 2013, 15:55-16:30
 
Created: 2013-10-31 13:07
Collection: Mathematics for the Fluid Earth
Publisher: Isaac Newton Institute
Copyright: Vanneste, J
Language: eng (English)
Distribution: World     (downloadable)
Categories: iTunes - Mathematics - Advanced Mathematics
Explicit content: No
Aspect Ratio: 16:9
Screencast: No
Bumper: UCS Default
Trailer: UCS Default
 
Abstract: Co-authors: Peter H. Haynes (University of Cambridge), Alexandra Tzella (University of Birmingham)

The dispersion of a passive scalar in a fluid through the combined action of advection and molecular diffusion can often be described as a diffusive process, with an effective diffusivity that is enhanced compared to the molecular value. This description fails to capture the tails of the scalar concentration in initial-value problems, however. This talk addresses this issue and shows how the theory of large deviation can be applied to capture the concentration tails by solving a family of eigenvalue problems. Two types of flows are considered: shear flows and cellular flows. In both cases, large deviation is shown to generalise classical results (Taylor dispersion for shear flows, homogenisation results for cellular flows). Explicit asymptotic results are obtained in the limit of large Péclet number corresponding to small molecular diffusivity. The implications of the results for the problem of front propagation in reacting flows are also discussed.
Available Formats
Format Quality Bitrate Size
MPEG-4 Video 640x360    1.94 Mbits/sec 580.35 MB View Download
WebM 640x360    708.58 kbits/sec 206.81 MB View Download
iPod Video 480x270    521.0 kbits/sec 152.07 MB View Download
MP3 44100 Hz 249.76 kbits/sec 72.96 MB Listen Download
Auto * (Allows browser to choose a format it supports)