Instabilities in complex mixtures with a large number of components

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dc.creatorSear, Richard P.
dc.creatorCuesta, Jose A.
dc.date2003-07-14
dc.date.accessioned2026-07-07T02:52:20Z
dc.date.available2026-07-07T02:52:20Z
dc.descriptionInside living cells are complex mixtures of thousands of components. It is hopeless to try to characterise all the individual interactions in these mixtures. Thus, we develop a statistical approach to approximating them, and examine the conditions under which the mixtures phase separate. The approach approximates the matrix of second virial coefficients of the mixture by a random matrix, and determines the stability of the mixture from the spectrum of such random matrices.
dc.description4 pages, uses RevTeX 4.0
dc.identifierhttps://arxiv.org/abs/cond-mat/0307326
dc.identifierhttp://arxiv.org/abs/cond-mat/0307326
dc.identifierPhys. Rev. Lett. 91, 245701 (2003)
dc.identifierdoi:10.1103/PhysRevLett.91.245701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/21807
dc.subjectSoft Condensed Matter
dc.subjectDisordered Systems and Neural Networks
dc.titleInstabilities in complex mixtures with a large number of components
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