Analytic solutions to 1D Ising model#
Case-1: and #
Free energy
Energy. Obtained by ensemble average of Ising Hamiltonian. Which comes down as simply the average of single spin multipled by number of spins
Entropy
Heat capacity
We see that heat capacity goes to zero at both
import ipywidgets as widgets
import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
@widgets.interact(kbT=(0.1,10))
def mag1(kbT=1):
x = np.linspace(-10,10,1000)
plt.plot(x, np.tanh(x/kbT), lw=3, label=f'$k_B T={kbT}$')
plt.xlabel('h, magnetic field',fontsize=16)
plt.ylabel('m, magnetization',fontsize=16)
plt.legend(fontsize=16)
Case-2: and #
We use free boundary conditions
Let
and for
There will be an overall factor of 2 in front of partition function becasue of summation over
$ $
Case-3: and and Transfer Matrix technique#
We write hamiltonain in this symmetric form consisting of sums of
terms for presenting partiion function as product of terms. $ $Transfer matrix has been introduced:
While compared to previous examples partition function did not factor out into single particle contributions we nevertheless have factored the partition function as product of 2 by 2 matrices!
Note the close connection of matrix technique applied to partion functions with mathematical formalism of quantum mechanics!#
In quantum mecchanical notation
Trace of matrix is invariant to unitary trasnformation
Problem is reduced to diagonalizing the transfer matrix
Thus we have arrived at an exact solution for the one dimension Ising model with external field:
No phase transition at finite