Divergent series and memory of the initial condition in the long-time solution of some anomalous diffusion problems.

We consider various anomalous d -dimensional diffusion problems in the presence of an absorbing boundary with radial symmetry. The motion of particles is described by a fractional diffusion equation. Their mean-square displacement is given by r(2) proportional, variant t(gamma)(0<gamma< or =1) , resulting in normal diffusive motion if gamma=1 and subdiffusive motion otherwise. For the subdiffusive case in sufficiently high dimensions, divergent series appear when the concentration or survival probabilities are evaluated via the method of separation of variables. While the solution for normal diffusion problems is, at most, divergent as t-->0 , the emergence of such series in the long-time domain is a specific feature of subdiffusion problems. We present a method to regularize such series, and, in some cases, validate the procedure by using alternative techniques (Laplace transform method and numerical simulations). In the normal diffusion case, we find that the signature of the initial condition on the approach to the steady state rapidly fades away and the solution approaches a single (the main) decay mode in the long-time regime. In remarkable contrast, long-time memory of the initial condition is present in the subdiffusive case as the spatial part Psi1(r) describing the long-time decay of the solution to the steady state is determined by a weighted superposition of all spatial modes characteristic of the normal diffusion problem, the weight being dependent on the initial condition. Interestingly, Psi1(r) turns out to be independent of the anomalous diffusion exponent gamma .

[1]  E. Castro,et al.  A method for summing strongly divergent perturbation series: The Zeeman effect in hydrogen , 1984 .

[2]  L. Acedo,et al.  Some exact results for the trapping of subdiffusive particles in one dimension , 2004 .

[3]  G. A. Watson A treatise on the theory of Bessel functions , 1944 .

[4]  I. Podlubny Fractional differential equations , 1998 .

[5]  S. Redner A guide to first-passage processes , 2001 .

[6]  Ralf Metzler,et al.  Boundary value problems for fractional diffusion equations , 2000 .

[7]  E. Barkai,et al.  Fractional Fokker-Planck equation, solution, and application. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  S. Varadhan,et al.  On the number of distinct sites visited by a random walk , 1979 .

[9]  Francesco Mainardi,et al.  On Mittag-Leffler-type functions in fractional evolution processes , 2000 .

[10]  H. Srivastava,et al.  Theory and Applications of Fractional Differential Equations , 2006 .

[11]  Maury Bramson,et al.  Asymptotic behavior of densities for two-particle annihilating random walks , 1991 .

[12]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[13]  R A Blythe,et al.  Survival probability of a diffusing particle in the presence of Poisson-distributed mobile traps. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Barkai,et al.  From continuous time random walks to the fractional fokker-planck equation , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[15]  I. Fedchenia Method of divergent series summation in the problem of particle diffusion in a bistable potential , 1992 .

[16]  J. Klafter,et al.  The restaurant at the end of the random walk: recent developments in the description of anomalous transport by fractional dynamics , 2004 .

[17]  S. B. Yuste,et al.  Survival probability of a particle in a sea of mobile traps: a tale of tails. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  J. Klafter,et al.  The random walk's guide to anomalous diffusion: a fractional dynamics approach , 2000 .

[19]  J. Klafter,et al.  Anomalous Diffusion and Relaxation Close to Thermal Equilibrium: A Fractional Fokker-Planck Equation Approach , 1999 .

[20]  Lebowitz,et al.  Asymptotic behavior of densities in diffusion-dominated annihilation reactions. , 1988, Physical review letters.

[21]  H. Silverstone,et al.  Dispersive hyperasymptotics and the anharmonic oscillator , 2002 .

[22]  S. Orszag,et al.  Advanced mathematical methods for scientists and engineers I: asymptotic methods and perturbation theory. , 1999 .

[23]  E. Elizalde,et al.  Essentials of the Casimir effect and its computation , 1991 .

[24]  Simulations for trapping reactions with subdiffusive traps and subdiffusive particles , 2006, cond-mat/0611050.

[25]  G. Mittag-Leffler,et al.  Sur la représentation analytique d’une branche uniforme d’une fonction monogène , 1901 .

[26]  Casimir Effect on a Finite Lattice , 1999, quant-ph/9908058.

[27]  Exact asymptotics for one-dimensional diffusion with mobile traps. , 2002, Physical review letters.

[28]  P. Pradhan,et al.  First passage time distribution in random walks with absorbing boundaries , 2003 .

[29]  Trapping reactions with subdiffusive traps and particles characterized by different anomalous diffusion exponents. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Srinivasa Varadhan,et al.  Asymptotics for the wiener sausage , 1975 .

[31]  Y. Povstenko Fractional radial diffusion in a cylinder , 2008 .

[32]  S. B. Yuste,et al.  Survival probability of a subdiffusive particle in a d-dimensional sea of mobile traps. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  Katja Lindenberg,et al.  Subdiffusive target problem: survival probability. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  Sidney Redner,et al.  A guide to first-passage processes , 2001 .

[35]  Target problem with evanescent subdiffusive traps. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.