Mean field models: Difference between revisions
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==Mean field solution of the Ising model== | ==Mean field solution of the Ising model== | ||
A well-known mean field solution of the [[Ising model]] goes as follows. From the original | A well-known mean field solution of the [[Ising model]], known as the ''Bragg-Williams approximation'' goes as follows. | ||
:<math> | From the original Hamiltonian, | ||
:<math> U = - J \sum_i^N S_i \sum_{<j>} S_j , </math> | |||
suppose we may approximate | suppose we may approximate | ||
:<math> \ | :<math> \sum_{<j>} S_j \approx n \bar{s}, </math> | ||
where <math> | where <math>n</math> is the number of neighbors of site <math>i</math> (e.g. 4 in a 2-D square lattice), and <math>\bar{s}</math> is the (unknown) magnetization: | ||
:<math> \bar{s}=\frac{1}{N} \sum_i S_i . </math> | :<math> \bar{s}=\frac{1}{N} \sum_i S_i . </math> | ||
Therefore, the Hamiltonian turns to | |||
:<math> U = - J n \sum_i^N S_i \bar{s} , </math> | |||
as in the regular Langevin theory of magnetism (see [[Curie's_law]]): the spins are independent, but coupled to a constant field of strength | |||
:<math>H= J n \bar{s}.</math> | |||
The magnetization of the Langevin theory is | |||
:<math> \bar{s} = \tanh( H/k_B T ). </math> | |||
Therefore: | |||
:<math> \bar{s} = \tanh(J n\bar{s}/k_B T). </math> | |||
This is a '''self-consistent''' expression for <math>\bar{s}</math>. There exists a critical temperature, defined by | |||
:<math>k_B T_c= J n .</math> | |||
At temperatures higher than this value the only solution is <math>\bar{s}=0</math>. Below it, however, this solution becomes unstable | |||
(it corresponds to a maximum in energy), whereas two others are stable. Slightly below <math>T_c</math>, | |||
:<math>\bar{s} =\pm\sqrt{3\left(1 - \frac{T}{T_c}\right)}. </math> | |||
==General discussion== | |||
The solution obtained shares a number of features with any other mean field approximation: | |||
*It largely ignores geometry, which may be important in some cases. In particular, it reduces the lattice details to just the number of neighbours. | |||
*As a consequence, it may predict phase transitions where none are found: the [[1-dimensional_Ising_model|1-D ising model]] <math>n=2</math> is known to lack any phase transition (at finite temperature) | |||
*In general, the theory ''underestimates fluctuations'' | |||
*It also leads to ''classical critical exponents'', like the <math>\left(1 - \frac{T}{T_c}\right)^{1/2}</math> decay above. In 3-D, the magnetization follows a power law with a different exponent. | |||
*Nevertheless, above a certain space dimension the critical exponents are correct. This dimension is 4 for the Ising model, as predicted by a self-consistency requirement due to E.M. Lipfshitz (similar ones are due to Peierls and L.D. Landau) | |||
==References== | |||
<references/> | |||
[[Category: Statistical mechanics]] |
Latest revision as of 14:17, 14 May 2010
A mean field model, or a mean field solution of a model, is an approximation to the actual solution of a model in statistical physics. The model is made exactly solvable by treating the effect of all other particles on a given one as a mean field (hence its name). It appear in different forms and different contexts, but all mean field models have this feature in common.
Mean field solution of the Ising model[edit]
A well-known mean field solution of the Ising model, known as the Bragg-Williams approximation goes as follows. From the original Hamiltonian,
suppose we may approximate
where is the number of neighbors of site (e.g. 4 in a 2-D square lattice), and is the (unknown) magnetization:
Therefore, the Hamiltonian turns to
as in the regular Langevin theory of magnetism (see Curie's_law): the spins are independent, but coupled to a constant field of strength
The magnetization of the Langevin theory is
Therefore:
This is a self-consistent expression for . There exists a critical temperature, defined by
At temperatures higher than this value the only solution is . Below it, however, this solution becomes unstable (it corresponds to a maximum in energy), whereas two others are stable. Slightly below ,
General discussion[edit]
The solution obtained shares a number of features with any other mean field approximation:
- It largely ignores geometry, which may be important in some cases. In particular, it reduces the lattice details to just the number of neighbours.
- As a consequence, it may predict phase transitions where none are found: the 1-D ising model is known to lack any phase transition (at finite temperature)
- In general, the theory underestimates fluctuations
- It also leads to classical critical exponents, like the decay above. In 3-D, the magnetization follows a power law with a different exponent.
- Nevertheless, above a certain space dimension the critical exponents are correct. This dimension is 4 for the Ising model, as predicted by a self-consistency requirement due to E.M. Lipfshitz (similar ones are due to Peierls and L.D. Landau)