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Aging properties of the voter model with long-range interactions
We investigate the aging properties of the one-dimensional voter model with long-range interactions in its ordering kinetics. In this system, an agent, S i = ± 1 , positioned at a lattice vertex i , copies the state of another one located at a distance r , selected randomly with a probability P ( r...
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Published in: | Journal of statistical mechanics 2024-05, Vol.2024 (5), p.53204 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | We investigate the aging properties of the one-dimensional voter model with long-range interactions in its ordering kinetics. In this system, an agent,
S
i
=
±
1
, positioned at a lattice vertex
i
, copies the state of another one located at a distance
r
, selected randomly with a probability
P
(
r
)
∝
r
−
α
. Employing both analytical and numerical methods, we compute the two-time correlation function
G
(
r
;
t
,
s
)
(
t
⩾
s
) between the state of a variable
S
i
at time
s
and that of another one, at distance
r
, at time
t
. At time
t
, the memory of an agent of its former state at time
s
, expressed by the
autocorrelation function
A
(
t
,
s
)
=
G
(
r
=
0
;
t
,
s
)
, decays algebraically for
α
> 1 as
[
L
(
t
)
/
L
(
s
)
]
−
λ
, where
L
is a time-increasing coherence length and
λ
is the Fisher–Huse exponent. We find
λ
= 1 for
α
> 2, and
λ
=
1
/
(
α
−
1
)
for
1
<
α
⩽
2
. For
α
⩽
1
, instead, there is an exponential decay, as in the mean field. Then, in contrast with what is known for the related Ising model, here we find that
λ
increases upon decreasing
α
. The space-dependent correlation
G
(
r
;
t
,
s
)
obeys a scaling symmetry
G
(
r
;
t
,
s
)
=
g
[
r
/
L
(
s
)
;
L
(
t
)
/
L
(
s
)
]
for
α
> 2. Similarly, for
1
<
α
⩽
2
, one has
G
(
r
;
t
,
s
)
=
g
[
r
/
L
(
t
)
;
L
(
t
)
/
L
(
s
)
]
, where the length
L
regulating two-time correlations now differs from the coherence length as
L
∝
L
δ
, with
δ
=
1
+
2
(
2
−
α
)
. |
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ISSN: | 1742-5468 1742-5468 |
DOI: | 10.1088/1742-5468/ad41db |