Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Continuous-time random walk with a superheavy-tailed distribution of
  waiting times   We study the long-time behavior of the probability density associated with
the decoupled continuous-time random walk which is characterized by a
superheavy-tailed distribution of waiting times. It is shown that if the random
walk is unbiased (biased) and the jump distribution has a finite second moment
then the properly scaled probability density converges in the long-time limit
to a symmetric two-sided (an asymmetric one-sided) exponential density. The
convergence occurs in such a way that all the moments of the probability
density grow slower than any power of time. As a consequence, the reference
random walk can be viewed as a generic model of superslow diffusion. A few
examples of superheavy-tailed distributions of waiting times that give rise to
qualitatively different laws of superslow diffusion are considered.

5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
1
The categories of this paper are: cs