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Clustercluster aggregation as an analogue of a turbulent cascade : Kolmogorov phenomenology, scaling laws and the breakdown of selfsimilarity
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Connaughton, Colm, Rajesh, R. and Zaboronski, Oleg V.. (2006) Clustercluster aggregation as an analogue of a turbulent cascade : Kolmogorov phenomenology, scaling laws and the breakdown of selfsimilarity. Physica D: Nonlinear Phenomena, Vol.222 (No.12). pp. 97115. ISSN 01672789

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Official URL: http://dx.doi.org/10.1016/j.physd.2006.08.005
Abstract
We present a detailed study of the statistical properties of a system of diffusing aggregating particles in the presence of a steady source of monomers. We emphasize the case of low spatial dimensions where strong diffusive fluctuations invalidate the meanfield description provided by standard Smoluchowski kinetic theory. The presence of a source of monomers allows the system to reach a statistically stationary state at large times. This state is characterized by a constant flux of mass directed from small to large masses. It therefore admits a phenomenological description based on the assumption of selfsimilarity and constant mass flux analogous to the Kolmogorov's 1941 theory of turbulence. Unlike turbulence, the aggregation problem is analytically tractable using powerful methods of statistical field theory. We explain in detail how these methods should be adapted to study the farfromequilibrium, fluxdominated states characteristic of turbulent systems. We consider multipoint correlation functions of the mass density. By an exact evaluation of the scaling exponents for the one and twopoint correlation functions, we show that the assumption of selfsimiliarity breaks down at large masses for spatial dimensions, d <= 2. We calculate nonrigorously the exponents of the higher order correlation functions as an epsilonexpansion where epsilon = 2  d. We show that the mass distribution exhibits nontrivial multiscaling. An analogy can be drawn with the case of hydrodynamic turbulence. The physical origin of this multiscaling is traced to the presence of strong correlations between particles participating in large mass aggregation events. These correlations stem from the recurrence of diffusion processes in d <= 2. The analytic methods developed here will have more general applicability beyond the study of this specific problem.
Item Type:  Journal Article  

Subjects:  Q Science > QA Mathematics Q Science > QC Physics 

Divisions:  Faculty of Science > Centre for Complexity Science Faculty of Science > Mathematics 

Library of Congress Subject Headings (LCSH):  Cluster analysis, Dynamics of a particle, Aggregation (Chemistry)  Mathematical models, Monomers  Mathematical models  
Journal or Publication Title:  Physica D: Nonlinear Phenomena  
Publisher:  Elsevier Science BV  
ISSN:  01672789  
Official Date:  October 2006  
Dates: 


Volume:  Vol.222  
Number:  No.12  
Number of Pages:  19  
Page Range:  pp. 97115  
Identification Number:  10.1016/j.physd.2006.08.005  
Status:  Peer Reviewed  
Publication Status:  Published  
Access rights to Published version:  Restricted or Subscription Access  
Related URLs:  
References:  [1] U. Frisch, Turbulence : the Legacy of A.N. Kolmogorov (Cambridge University Press, Cambridge, 1995). 

URI:  http://wrap.warwick.ac.uk/id/eprint/32848 
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