self-avoiding trails with nearest neighbour interactions on the … · 2012-12-18 · self-avoiding...
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Self-avoiding trails with nearest neighbourinteractions on the square lattice
Andrea Bedini
MASCOS and Department of Mathematics and Statistics, The University of Melbourne
Inaugural ANZAMP Annual Meeting 2012, Lorne
arXiv:1210.7092Work in collaboration with A. L. Owczarek and T. Prellberg
Collapse ISAW ISAT Tri-KSAT Canonical model eISAT Conclusion
Model dependency in polymer critical phenomena
†Aleks Owczarek, †Andrea Bedini, †Jason Doukas,and ‡Thomas Prellberg
†MASCOS and Department of Mathematics and Statistics, The University of Melbourne
‡School of Mathematical Sciences, Queen Mary, University of London
December, 2010
Australian Statistical Mechanics Annual Meeting, 2010
Model dependency in polymer critical phenomena Owczarek
Collapse ISAW ISAT Tri-KSAT Canonical model eISAT Conclusion
Model dependency in polymer critical phenomena
†Aleks Owczarek, †Andrea Bedini, †Jason Doukas,and ‡Thomas Prellberg
†MASCOS and Department of Mathematics and Statistics, The University of Melbourne
‡School of Mathematical Sciences, Queen Mary, University of London
December, 2010
Australian Statistical Mechanics Annual Meeting, 2010
Model dependency in polymer critical phenomena Owczarek
Andrea Bedini (MASCOS) NNISAT ANZAMP 1 / 22
Outline
1 Lattice polymers
2 Collapsing polymers
3 Nearest-Neighbour Interacting Self-Avoiding Trails
4 Conclusions
Andrea Bedini (MASCOS) NNISAT ANZAMP 2 / 22
Outline
1 Lattice polymers
2 Collapsing polymers
3 Nearest-Neighbour Interacting Self-Avoiding Trails
4 Conclusions
Andrea Bedini (MASCOS) NNISAT ANZAMP 3 / 22
Self-Avoiding Walk (SAW)
Consider a walk on a some regular lattice
φn = {x0 ≡ 0, x1, . . . , xn}
where xi and xi+1 are lattice neighbours.Require xi to be all distinct (e.g. xi 6= xj if i 6= j).
Andrea Bedini (MASCOS) NNISAT ANZAMP 4 / 22
Fundamental quantities
We are interested in their number
Zn ' µnnγ−1,
and in their size (ad. es. end-to-end distance)
R2n = 〈|xn|2〉 ' n2ν
γ and ν are universal exponent.These exponents can be understood as those of a magneticsystem with O(N) symmetry in the limit N → 0.Exact values can be obtained using Coulomb Gas arguments
ν = 3/4 and γ = 43/32
“Dilute polymers” phase
Andrea Bedini (MASCOS) NNISAT ANZAMP 5 / 22
Self-Avoiding Trail (SAT)
A model for polymers with loops or polymers in thin layers.
φn = {x0 ≡ 0, x1, . . . , xn}where we now require xixi+1 6= xjxj+1 if i 6= j (bond avoidance)CG predicts crossings to be an irrelevant perturbation of the diluteuniversality class.Indeed, there is numerical evidence that the SAT exponents arethe same as SAW
Andrea Bedini (MASCOS) NNISAT ANZAMP 6 / 22
Outline
1 Lattice polymers
2 Collapsing polymers
3 Nearest-Neighbour Interacting Self-Avoiding Trails
4 Conclusions
Andrea Bedini (MASCOS) NNISAT ANZAMP 7 / 22
Interacting Self-Avoiding Walks (ISAW)
We introduce an attractive self interaction (contacts mc).
and define the partition function:
Zn(ω) =∑
φ∈SAWn
ωmc(φ)
Energy: un = 〈mc〉/n, Specific heat: cn = (〈m2c〉 − 〈mc〉2)/n
Andrea Bedini (MASCOS) NNISAT ANZAMP 8 / 22
Collapse transition
As the interaction increases we reach a critical point.
dilute denseω
θ-point
ωc
The collapse transition corresponds to a tri-critical point of theO(N → 0) magnetic system.Finite-size quantities are expected to obey a scaling form
cn(ω) ∼ nαφ C((ω − ωc)nφ
)where C(x) is a scaling function and 0 < φ ≤ 1.Exponents α and φ satisfy the tri-critical relation
2− α =1φ
Andrea Bedini (MASCOS) NNISAT ANZAMP 9 / 22
Exact θ-point exponents
The presence of vacancies induceshort-range interactions on SAWs.θ-point is obtained at the point wherethe vacancies percolate
Full set of exponents can be obtained
φ = 3/7, α = −1/3 and ν = 4/7.
Specific heat does not diverge (exponent αφ = −1/7)Third derivative does diverge (exponent (α+ 1)φ = 2/7)
Andrea Bedini (MASCOS) NNISAT ANZAMP 10 / 22
Interacting Self-Avoiding Trails (ISAT)
Introduce a same-site interaction on trails
Let mt be the number of doubly visited sites, we define
Z ISATn (ω) =
∑ψ∈SATn
ωmt (ψ).
Energy: un = 〈mt〉/n, Specific heat: cn = (〈m2t 〉 − 〈mt〉2)/n
Andrea Bedini (MASCOS) NNISAT ANZAMP 11 / 22
ISAT Collapse
As shown by Owczarek and Prellberg on the square lattice thereis a collapse transition with estimated exponents
φIT = 0.84(3) and αIT = 0.81(3)
Additionally, the scaling of end-to-end distance was found to beconsistent with
R2n ' n (log n)2
Clearly different from the θ-pointNo predictions for these exponentsPhase diagram
dilute ??ω
ωc
Andrea Bedini (MASCOS) NNISAT ANZAMP 12 / 22
ISAT collapsed stateIf we consider that proportion pn of sites which are not doublyoccupied
pn =n − 2〈mt〉
n.
it is found1 that in the low temperature region
pn ∼ n−1/2 → 0 as n→∞.
1AB, A.L. Owczarek, T. Prellberg, arXiv:1210.7196Andrea Bedini (MASCOS) NNISAT ANZAMP 13 / 22
We have seen two models of the polymer collapse.that implement the same ideas(excluded volume + short range attraction)
whose collapse transitions lie in different universality classes.
There is no clear understanding of why this is the case.
Geometry
self-avoiding walksvs
self-avoiding trails
Interaction
nearest-neighboursvs
multiply visited sites
Andrea Bedini (MASCOS) NNISAT ANZAMP 14 / 22
We have seen two models of the polymer collapse.that implement the same ideas(excluded volume + short range attraction)
whose collapse transitions lie in different universality classes.
There is no clear understanding of why this is the case.
Geometry
self-avoiding walksvs
self-avoiding trails
Interaction
nearest-neighboursvs
multiply visited sites
Andrea Bedini (MASCOS) NNISAT ANZAMP 14 / 22
We have seen two models of the polymer collapse.that implement the same ideas(excluded volume + short range attraction)
whose collapse transitions lie in different universality classes.
There is no clear understanding of why this is the case.
Geometry
self-avoiding walksvs
self-avoiding trails
Interaction
nearest-neighboursvs
multiply visited sites
Andrea Bedini (MASCOS) NNISAT ANZAMP 14 / 22
Outline
1 Lattice polymers
2 Collapsing polymers
3 Nearest-Neighbour Interacting Self-Avoiding Trails
4 Conclusions
Andrea Bedini (MASCOS) NNISAT ANZAMP 15 / 22
Definition
Let mc(ψn) be the number of contacts, we define
Z NTn (ω) =
∑ψn∈SATn
ωmc(ψn).
Energy: un = 〈mc〉/n, Specific heat: cn = (〈m2c〉 − 〈mc〉2)/n
Andrea Bedini (MASCOS) NNISAT ANZAMP 16 / 22
Specific-heat behaviour
Let cpn be specific-heat at peak
at length n.We plotted the quantity
log2
[cp
n − cpn/2
cpn/2 − cp
n/4
]n→∞−−−→ αφ
We find
αNTφNT = −0.16(3),
vs a −1/7 ≈ −0.14 (θ-point)and ≈ +0.68 (ISAT).
0.00 0.02 0.04 0.06 0.08 0.10 0.12
n−3/7
−0.20
−0.15
−0.10
−0.05
0.00
log
2[(c n−c n/2)/
(cn/2−c n/4)]
Andrea Bedini (MASCOS) NNISAT ANZAMP 17 / 22
Third-derivative behaviour
Let tpn be the peak of the third
derivative.The quantity
log2
[tpn
tpn/2
]n→∞−−−→ (1 + α)φ
We find
(αNT + 1)φNT = 0.23(5)
vs a θ-point value of2/7 ≈ 0.28
0.00 0.02 0.04 0.06 0.08 0.10 0.12
n−3/7
0.2
0.3
0.4
0.5
0.6
0.7
0.8
log
2(tc,n/tc,n/2)
positive peaknegative peak
Andrea Bedini (MASCOS) NNISAT ANZAMP 18 / 22
Radius scaling
Assuming ISAW crossoverexponent φ = 3/7, we can
determine precisely thecritical point go to greater
lengths.
ν ' 0.575(5)
vs a θ-point value of
ν = 4/7 ' 0.571..2 3 4 5 6 7 8 9 10
log n
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
1/2
log〈R
2〉 n
slope 0.575
Andrea Bedini (MASCOS) NNISAT ANZAMP 19 / 22
Characterisation of the low-temperature region
Plot of the proportion ofsteps visiting the same siteonce, at differenttemperatures above andbelow the critical point.
The scale n−1/2 chosen isthe natural low temperaturescale.
In all cases: limn→∞ pn > 0.0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16
n−1/2
0.70
0.75
0.80
0.85
0.90
0.95
1.00
p nω = 1.2
ω = 1.8
ω = 2.4
Andrea Bedini (MASCOS) NNISAT ANZAMP 20 / 22
Outline
1 Lattice polymers
2 Collapsing polymers
3 Nearest-Neighbour Interacting Self-Avoiding Trails
4 Conclusions
Andrea Bedini (MASCOS) NNISAT ANZAMP 21 / 22
Summary
We simulated a model of self-avoiding trails withnearest-neighbour interactionWe presented evidence that its collapse transition is in the sameuniversality class as the θ-point.The θ-point seems to be robust when allowing crossings.While crossings are expected to be relevant in the dense phase,the dense phase seems also unaffected.CG predictions might not hold in presence of crossings.
Thanks.
Andrea Bedini (MASCOS) NNISAT ANZAMP 22 / 22
Summary
We simulated a model of self-avoiding trails withnearest-neighbour interactionWe presented evidence that its collapse transition is in the sameuniversality class as the θ-point.The θ-point seems to be robust when allowing crossings.While crossings are expected to be relevant in the dense phase,the dense phase seems also unaffected.CG predictions might not hold in presence of crossings.
Thanks.
Andrea Bedini (MASCOS) NNISAT ANZAMP 22 / 22