@@ -918,7 +918,7 @@ for i in range(n_state):
918918 axes[i].grid()
919919 axes[i].set_ylim(ψ_star[i]-0.2, ψ_star[i]+0.2)
920920 axes[i].axhline(ψ_star[i], linestyle='dashed', lw=2, color = 'black',
921- label = fr'$\psi(X={i})^* $')
921+ label = fr'$\psi^* (X={i})$')
922922 axes[i].set_xlabel('t')
923923 axes[i].set_ylabel(fr'average time spent at X={i}')
924924
@@ -982,7 +982,7 @@ for i in range(n_state):
982982 axes[i].grid()
983983 axes[i].set_ylim(0.45, 0.55)
984984 axes[i].axhline(ψ_star[i], linestyle='dashed', lw=2, color = 'black',
985- label = fr'$\psi(X={i})^* $')
985+ label = fr'$\psi^* (X={i})$')
986986 axes[i].set_xlabel('t')
987987 axes[i].set_ylabel(fr'average time spent at X={i}')
988988
@@ -1110,7 +1110,7 @@ for x0 in x0s:
11101110
11111111for i in range(n_state):
11121112 axes[i].axhline(ψ_star[i], linestyle='dashed', lw=2, color = 'black',
1113- label = fr'$\psi(X={i})^* $')
1113+ label = fr'$\psi^* (X={i})$')
11141114 axes[i].set_xlabel('t')
11151115 axes[i].set_ylabel(fr'$\psi(X={i})$')
11161116 axes[i].legend()
@@ -1149,7 +1149,7 @@ for x0 in x0s:
11491149 axes[i].plot(range(20, n), X[20:,i], alpha=0.3)
11501150
11511151for i in range(n_state):
1152- axes[i].axhline(ψ_star[i], linestyle='dashed', lw=2, color = 'black', label = fr'$\psi (X={i})^* $')
1152+ axes[i].axhline(ψ_star[i], linestyle='dashed', lw=2, color = 'black', label = fr'$\psi^* (X={i})$')
11531153 axes[i].set_xlabel('t')
11541154 axes[i].set_ylabel(fr'$\psi(X={i})$')
11551155 axes[i].legend()
@@ -1350,7 +1350,7 @@ for x0 in range(8):
13501350 X_bar = (X == x0).cumsum() / (1 + np.arange(N, dtype=float))
13511351 ax.plot(X_bar - ψ_star[x0], label=f'$X = {x0+1} $')
13521352 ax.set_xlabel('t')
1353- ax.set_ylabel(fr'average time spent in a state - $ \psi(X=x)^* $')
1353+ ax.set_ylabel(fr'average time spent in a state $- \psi^* (X=x)$')
13541354
13551355ax.legend()
13561356plt.show()
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