398 12 Random walks and the Metropolis algorithm
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
-20 -15 -10 -5 0 5 10 15 20
w(x,t)
stepsx
10 steps
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
-40 -20 0 20 40
w(x,t)
stepsx
100 steps
0
0.005
0.01
0.015
0.02
0.025
-40 -20 0 20 40
w(x,t)
stepsx
1000 steps
Fig. 12.5Probability distribution for one walker after 10, 100 and 1000 steps.