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The Percolation Threshold for a Honeycomb Lattice

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For the Future Try to generalize into a broad equation. Use to solve harder lattices. Can we relate bond percolation? Perhaps a correlation between the two? Thanks ... – PowerPoint PPT presentation

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Title: The Percolation Threshold for a Honeycomb Lattice


1
The Percolation Threshold for a Honeycomb Lattice
2
Percolation
  • Way of studying lattice disorder
  • Ignores physical and chemical properties
  • Way of defining geometric constants

3
Types of Percolation
  • Site Percolation - if two adjacent sites exist,
    then the bond between them exists.
  • Bond Percolation - If a bond exists, both sites
    must exist.

4
ExampleThe Honeycomb Lattice
5
Types of Percolation
  • Type of percolation will effect the probability
    associated with generating a specific cluster
    size
  • Our focus will be on site percolation.

6
Infinite Clusters
  • Infinite cluster is defined as a cluster that
    spans from one end to the other of an infinite
    lattice.
  • Not all probabilities will give this.
  • Define the percolation threshold pc

7
Percolation Threshold
  • The percolation threshold is defined as the
    probability of a site existing, where we see an
    infinite cluster for the first time.
  • Few exact results. Most turn to numeric methods.

8
Concerns with Monte Carlo
  • Mean value? Min Value?
  • Several conflicting results
  • Seems we can only do as good as an upper and
    lower bound.

9
A Method to Calculate Pc
  • If we simply had a line of a sites
  • stretching to infinity, the probability of
  • getting an infinite cluster would be given
  • by
  • P pcL
  • pc must be 1 to see an infinite cluster

10
A Method to Calculate Pc
  • If we consider lattices that have more
  • connectivity, we would need to consider
  • the number of ways a particular L could
  • be realized.
  • P N1pc1L1 N2pc2L2

11
A Method to Calculate Pc
  • To start, lets consider only the shortest length
    as the would give the smallest value of pc.
  • By careful enumerating and counting we can come
    up with N and L as a function of m.

12
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13
A Method to Calculate Pc
  • Then L2m-1 and Nm2m.
  • So we get
  • P m2mpc(2m-1) m(2pc2)m / pc
  • If 2pc2 lt 1 then P0

14
A Method to Calculate Pc
  • Thus, when this is equal to 1, we first get an
    infinite cluster which is the definition of pc.
  • Hence, Pc 2(-1/2) .7071
  • Which is consistent with the Monte Carlo

15
Triangle lattice
  • If you go through the same method, but use the
    triangular lattice, you get the exact result of
    .5 which is the excepted result!

16
Issues With other lattice
  • Square lattice doesnt work because the shortest
    distance is a straight line.
  • Inverted honeycomb doesnt work because it is
    also a straight line.
  • Generalization will need to include more
    probabilities.

17
For the Future
  • Try to generalize into a broad equation.
  • Use to solve harder lattices.
  • Can we relate bond percolation? Perhaps a
    correlation between the two?

18
Thanks
  • Dedicated to the memory of
  • Carlos Busser
  • Aug 2007 - Dec 2007
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