diff --git a/lectures/_static/lecture_specific/mccall/mccall_resw_alpha.py b/lectures/_static/lecture_specific/mccall/mccall_resw_alpha.py
index 8545461..baf64b1 100644
--- a/lectures/_static/lecture_specific/mccall/mccall_resw_alpha.py
+++ b/lectures/_static/lecture_specific/mccall/mccall_resw_alpha.py
@@ -1,4 +1,9 @@
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 grid_size = 25  
 α_vals = np.linspace(0.05, 0.5, grid_size)  
diff --git a/lectures/_static/lecture_specific/mccall/mccall_resw_gamma.py b/lectures/_static/lecture_specific/mccall/mccall_resw_gamma.py
index 0d0b181..63a2e98 100644
--- a/lectures/_static/lecture_specific/mccall/mccall_resw_gamma.py
+++ b/lectures/_static/lecture_specific/mccall/mccall_resw_gamma.py
@@ -1,4 +1,9 @@
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 grid_size = 25  
 γ_vals = np.linspace(0.05, 0.95, grid_size)  
diff --git a/lectures/_static/lecture_specific/mccall/mccall_vf_plot1.py b/lectures/_static/lecture_specific/mccall/mccall_vf_plot1.py
index 88d3e5a..dfe0666 100644
--- a/lectures/_static/lecture_specific/mccall/mccall_vf_plot1.py
+++ b/lectures/_static/lecture_specific/mccall/mccall_vf_plot1.py
@@ -1,4 +1,9 @@
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 mcm = McCallModel()
 V, U = solve_mccall_model(mcm)
diff --git a/lectures/_static/lecture_specific/short_path/Graph-networkx2.ipynb b/lectures/_static/lecture_specific/short_path/Graph-networkx2.ipynb
index f9fd7aa..0bb5bdb 100644
--- a/lectures/_static/lecture_specific/short_path/Graph-networkx2.ipynb
+++ b/lectures/_static/lecture_specific/short_path/Graph-networkx2.ipynb
@@ -19,7 +19,12 @@
    "source": [
     "import networkx as nx\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "\n",
     "G = nx.DiGraph()\n",
     "G.add_node('A',pos=(0,100))\n",
@@ -68,7 +73,12 @@
    "source": [
     "import networkx as nx\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "\n",
     "G = nx.DiGraph()\n",
     "G.add_node('A',pos=(0,100))\n",
@@ -155,7 +165,12 @@
    "source": [
     "import networkx as nx\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "\n",
     "G = nx.DiGraph()\n",
     "G.add_node('A',pos=(0,100))\n",
@@ -207,7 +222,12 @@
    "source": [
     "import networkx as nx\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "import pylab\n",
     "\n",
     "G = nx.DiGraph()\n",
@@ -231,7 +251,12 @@
     "                 for u,v,d in G.edges(data=True)])\n",
     "pos=nx.get_node_attributes(G,'pos')\n",
     "\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "\n",
     "plt.text(0,120,s='8', color='red', size=15, horizontalalignment='center')\n",
     "plt.text(2.4,50,s='10', color='red', size=15, horizontalalignment='center')\n",
diff --git a/lectures/aiyagari.md b/lectures/aiyagari.md
index 24d14dc..c74a618 100644
--- a/lectures/aiyagari.md
+++ b/lectures/aiyagari.md
@@ -56,6 +56,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from quantecon.markov import DiscreteDP
diff --git a/lectures/ak2.md b/lectures/ak2.md
index 4ab3ea8..1acf59e 100644
--- a/lectures/ak2.md
+++ b/lectures/ak2.md
@@ -379,6 +379,11 @@ $$
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from numba import jit
 from quantecon.optimize import brent_max
 ```
diff --git a/lectures/amf_var.py b/lectures/amf_var.py
index f4b14a5..0ff6da6 100644
--- a/lectures/amf_var.py
+++ b/lectures/amf_var.py
@@ -3,6 +3,11 @@
 import scipy.linalg as la
 import quantecon as qe
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.stats import norm, lognorm
 
 
diff --git a/lectures/ar1_bayes.md b/lectures/ar1_bayes.md
index 7cc275e..cdc01e1 100644
--- a/lectures/ar1_bayes.md
+++ b/lectures/ar1_bayes.md
@@ -31,6 +31,11 @@ import numpy as np
 import jax.numpy as jnp
 from jax import random
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 import logging
 logging.basicConfig()
diff --git a/lectures/ar1_turningpts.md b/lectures/ar1_turningpts.md
index 1e26de3..4526c46 100644
--- a/lectures/ar1_turningpts.md
+++ b/lectures/ar1_turningpts.md
@@ -44,6 +44,11 @@ import numpy as np
 import arviz as az
 import pymc as pmc
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import seaborn as sns
 
 sns.set_style('white')
diff --git a/lectures/bayes_nonconj.md b/lectures/bayes_nonconj.md
index cb2cfff..14f1f28 100644
--- a/lectures/bayes_nonconj.md
+++ b/lectures/bayes_nonconj.md
@@ -50,6 +50,11 @@ kernelspec:
 import numpy as np
 import seaborn as sns
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.stats import binom
 import scipy.stats as st
 import torch
diff --git a/lectures/cake_eating_numerical.md b/lectures/cake_eating_numerical.md
index 3a19cbf..8a226c0 100644
--- a/lectures/cake_eating_numerical.md
+++ b/lectures/cake_eating_numerical.md
@@ -33,6 +33,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from scipy.optimize import minimize_scalar, bisect
 ```
diff --git a/lectures/cake_eating_problem.md b/lectures/cake_eating_problem.md
index dc20420..113355c 100644
--- a/lectures/cake_eating_problem.md
+++ b/lectures/cake_eating_problem.md
@@ -38,6 +38,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 ```
diff --git a/lectures/career.md b/lectures/career.md
index 416f7ab..b0671bf 100644
--- a/lectures/career.md
+++ b/lectures/career.md
@@ -47,6 +47,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 import quantecon as qe
diff --git a/lectures/cass_fiscal.md b/lectures/cass_fiscal.md
index 173874f..dcc0558 100644
--- a/lectures/cass_fiscal.md
+++ b/lectures/cass_fiscal.md
@@ -261,6 +261,11 @@ $$ (eq:terminal_final)
 import numpy as np
 from scipy.optimize import root
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from collections import namedtuple
 from mpmath import mp, mpf
 from warnings import warn
diff --git a/lectures/cass_koopmans_1.md b/lectures/cass_koopmans_1.md
index bbba10b..72e833b 100644
--- a/lectures/cass_koopmans_1.md
+++ b/lectures/cass_koopmans_1.md
@@ -60,6 +60,11 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from numba import jit, float64
 from numba.experimental import jitclass
 import numpy as np
diff --git a/lectures/cass_koopmans_2.md b/lectures/cass_koopmans_2.md
index f32ed49..0f810b0 100644
--- a/lectures/cass_koopmans_2.md
+++ b/lectures/cass_koopmans_2.md
@@ -51,6 +51,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 from numba import jit, float64
 from numba.experimental import jitclass
diff --git a/lectures/coleman_policy_iter.md b/lectures/coleman_policy_iter.md
index e4048bd..b047455 100644
--- a/lectures/coleman_policy_iter.md
+++ b/lectures/coleman_policy_iter.md
@@ -52,6 +52,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from quantecon.optimize import brentq
 from numba import jit
diff --git a/lectures/egm_policy_iter.md b/lectures/egm_policy_iter.md
index 5b2c590..674b9cc 100644
--- a/lectures/egm_policy_iter.md
+++ b/lectures/egm_policy_iter.md
@@ -42,6 +42,11 @@ EGM是由[Chris Carroll](http://www.econ2.jhu.edu/people/ccarroll/)发明的一
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from numba import jit
 ```
diff --git a/lectures/eig_circulant.md b/lectures/eig_circulant.md
index bd6de82..2636ebc 100644
--- a/lectures/eig_circulant.md
+++ b/lectures/eig_circulant.md
@@ -31,6 +31,11 @@ kernelspec:
 import numpy as np
 from numba import jit
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 ```
 
 ```{code-cell} ipython3
diff --git a/lectures/exchangeable.md b/lectures/exchangeable.md
index b408d4d..74118c9 100644
--- a/lectures/exchangeable.md
+++ b/lectures/exchangeable.md
@@ -65,6 +65,11 @@ DeFinetti的工作对经济学家的相关性在David Kreps的{cite}`Kreps88`第
 tags: [hide-output]
 ---
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 from numba import jit, vectorize
 from math import gamma
diff --git a/lectures/finite_markov.md b/lectures/finite_markov.md
index 4c3de19..81180b3 100644
--- a/lectures/finite_markov.md
+++ b/lectures/finite_markov.md
@@ -53,6 +53,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import quantecon as qe
 import numpy as np
diff --git a/lectures/fonts/SourceHanSerifSC-SemiBold.otf b/lectures/fonts/SourceHanSerifSC-SemiBold.otf
new file mode 100644
index 0000000..2a934cc
Binary files /dev/null and b/lectures/fonts/SourceHanSerifSC-SemiBold.otf differ
diff --git a/lectures/ge_arrow.md b/lectures/ge_arrow.md
index 0887deb..c5c4e0e 100644
--- a/lectures/ge_arrow.md
+++ b/lectures/ge_arrow.md
@@ -722,6 +722,11 @@ $$ J_0^k = (I + \beta P + \cdots + \beta^T P^T) u(\alpha_k y) , $$
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 ```
 
 ```{code-cell} ipython3
diff --git a/lectures/hoist_failure.md b/lectures/hoist_failure.md
index 8b01882..5b30973 100644
--- a/lectures/hoist_failure.md
+++ b/lectures/hoist_failure.md
@@ -53,6 +53,11 @@ El-Shanawany, Ardron 和 Walker {cite}`Ardron_2018` 以及 Greenfield 和 Sargen
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.signal import fftconvolve
 from tabulate import tabulate
 import time
diff --git a/lectures/ifp.md b/lectures/ifp.md
index 790e695..0dff628 100644
--- a/lectures/ifp.md
+++ b/lectures/ifp.md
@@ -56,6 +56,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from quantecon.optimize import brentq
 from numba import jit, float64
diff --git a/lectures/ifp_advanced.md b/lectures/ifp_advanced.md
index 25bb4d1..32f1d72 100644
--- a/lectures/ifp_advanced.md
+++ b/lectures/ifp_advanced.md
@@ -50,6 +50,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from numba import jit, float64
 from numba.experimental import jitclass
diff --git a/lectures/imp_sample.md b/lectures/imp_sample.md
index 6a8ffe6..b1356c8 100644
--- a/lectures/imp_sample.md
+++ b/lectures/imp_sample.md
@@ -33,6 +33,11 @@ kernelspec:
 import numpy as np
 from numba import jit, vectorize, prange
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from math import gamma
 ```
 
diff --git a/lectures/inventory_dynamics.md b/lectures/inventory_dynamics.md
index 0e12f4d..75eaeef 100644
--- a/lectures/inventory_dynamics.md
+++ b/lectures/inventory_dynamics.md
@@ -47,6 +47,11 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numba import jit, float64, prange
diff --git a/lectures/jv.md b/lectures/jv.md
index d382191..7d5ae30 100644
--- a/lectures/jv.md
+++ b/lectures/jv.md
@@ -37,6 +37,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 import scipy.stats as stats
 from numba import jit, prange
diff --git a/lectures/kalman.md b/lectures/kalman.md
index 5298cf1..b540f4c 100644
--- a/lectures/kalman.md
+++ b/lectures/kalman.md
@@ -56,6 +56,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 from scipy import linalg
 import numpy as np
diff --git a/lectures/kalman_2.md b/lectures/kalman_2.md
index 8b7318d..b3c6cc4 100644
--- a/lectures/kalman_2.md
+++ b/lectures/kalman_2.md
@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.14.4
+    jupytext_version: 1.16.1
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -53,13 +53,28 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from quantecon import Kalman, LinearStateSpace
 from collections import namedtuple
 from scipy.stats import multivariate_normal
 import matplotlib as mpl
-mpl.rcParams['text.usetex'] = True
-mpl.rcParams['text.latex.preamble'] = r'\usepackage{{amsmath}}'
+# Configure Matplotlib to use pdfLaTeX and CJKutf8
+mpl.rcParams.update({
+    'text.usetex': True,
+    'text.latex.preamble': r'''
+        \usepackage{{CJKutf8}}
+        \usepackage{{amsmath}}
+    '''
+})
+
+# Function to wrap Chinese text in CJK environment
+def cjk(text):
+    return rf'\begin{{CJK}}{{UTF8}}{{gbsn}}{text}\end{{CJK}}'
 ```
 
 ## 工人的产出
@@ -247,21 +262,20 @@ u_hat_t = x_hat_t[1, :]
 我们可以观察公司对工人工作伦理的推断 $E [u_0 | y^{t-1}]$ 如何逐渐收敛于隐藏的 $u_0$，而 $u_0$ 是公司无法直接观察到的。
 
 ```{code-cell} ipython3
-
 fig, ax = plt.subplots(1, 2)
 
 ax[0].plot(y_hat_t, label=r'$E[y_t| y^{t-1}]$')
-ax[0].set_xlabel('时间')
+ax[0].set_xlabel(cjk('时间'))
 ax[0].set_ylabel(r'$E[y_t]$')
-ax[0].set_title(r'$E[y_t]$ 随时间变化')
+ax[0].set_title(cjk('$E[y_t]$ 随时间变化'))
 ax[0].legend()
 
 ax[1].plot(u_hat_t, label=r'$E[u_t|y^{t-1}]$')
 ax[1].axhline(y=u_0, color='grey', 
             linestyle='dashed', label=fr'$u_0={u_0:.2f}$')
-ax[1].set_xlabel('时间')
+ax[1].set_xlabel(cjk('时间'))
 ax[1].set_ylabel(r'$E[u_t|y^{t-1}]$')
-ax[1].set_title('推断的工作伦理随时间变化')
+ax[1].set_title(cjk('推断的工作伦理随时间变化'))
 ax[1].legend()
 
 fig.tight_layout()
@@ -285,7 +299,6 @@ print(Σ_t[:, :, -1])
 通过在不同时间 $t$ 绘制 $E [x_t |y^{t-1}] $ 周围的置信椭圆，我们可以生动地展示条件协方差矩阵 $\Sigma_t$ 如何演化。
 
 ```{code-cell} ipython3
-
 # 创建用于等高线绘制的点网格
 h_range = np.linspace(x_hat_t[0, :].min()-0.5*Σ_t[0, 0, 1], 
                       x_hat_t[0, :].max()+0.5*Σ_t[0, 0, 1], 100)
@@ -309,7 +322,7 @@ for i, t in enumerate(np.linspace(0, T-1, 3, dtype=int)):
     # 创建 PDF 的等高线图
     con = axs[i].contour(h, u, pdf_values, cmap='viridis')
     axs[i].clabel(con, inline=1, fontsize=10)
-    axs[i].set_title(f'时间步 {t+1}')
+    axs[i].set_title(cjk('时间步')+f'{t+1}')
     axs[i].set_xlabel(r'$h_{{{}}}$'.format(str(t+1)))
     axs[i].set_ylabel(r'$u_{{{}}}$'.format(str(t+1)))
     
@@ -332,7 +345,6 @@ plt.show()
 这是实现这个目标的一种方式：
 
 ```{code-cell} ipython3
-
 # 例如，我们可能想要 h_0 = 0 和 u_0 = 4
 mu_0 = np.array([0.0, 4.0])
 
@@ -355,7 +367,6 @@ print('u_0 =', u_0)
 实现相同目标的另一种方式是使用以下代码：
 
 ```{code-cell} ipython3
-
 # 如果我们想要设置初始 
 # h_0 = hhat_0 = 0 和 u_0 = uhhat_0 = 4.0:
 worker = create_worker(hhat_0=0.0, uhat_0=4.0)
@@ -400,17 +411,17 @@ for t in range(1, T):
 fig, ax = plt.subplots(1, 2)
 
 ax[0].plot(y_hat_t, label=r'$E[y_t| y^{t-1}]$')
-ax[0].set_xlabel('时间')
+ax[0].set_xlabel(cjk('时间'))
 ax[0].set_ylabel(r'$E[y_t]$')
-ax[0].set_title(r'$E[y_t]$ 随时间变化')
+ax[0].set_title(cjk('$E[y_t]$ 随时间变化'))
 ax[0].legend()
 
 ax[1].plot(u_hat_t, label=r'$E[u_t|y^{t-1}]$')
 ax[1].axhline(y=u_0, color='grey', 
             linestyle='dashed', label=fr'$u_0={u_0:.2f}$')
-ax[1].set_xlabel('时间')
+ax[1].set_xlabel(cjk('时间'))
 ax[1].set_ylabel(r'$E[u_t|y^{t-1}]$')
-ax[1].set_title('推断的工作伦理随时间变化')
+ax[1].set_title(cjk('推断的工作伦理随时间变化'))
 ax[1].legend()
 
 fig.tight_layout()
@@ -422,7 +433,6 @@ plt.show()
 这是一个例子：
 
 ```{code-cell} ipython3
-
 # 我们可以在创建工人时设置这些参数 -- 就像类一样！
 hard_working_worker =  create_worker(α=.4, β=.8, 
                         hhat_0=7.0, uhat_0=100, σ_h=2.5, σ_u=3.2)
@@ -472,31 +482,30 @@ def simulate_workers(worker, T, ax, mu_0=None, Sigma_0=None,
         u_hat_t[i] = x_hat[1]
 
     if diff == True:
-        title = ('推断的工作伦理与真实工作伦理的差异随时间变化' 
+        title = (cjk('推断的工作伦理与真实工作伦理的差异随时间变化') 
                  if title == None else title)
         
         ax.plot(u_hat_t - u_0, alpha=.5)
         ax.axhline(y=0, color='grey', linestyle='dashed')
-        ax.set_xlabel('时间')
+        ax.set_xlabel(cjk('时间'))
         ax.set_ylabel(r'$E[u_t|y^{t-1}] - u_0$')
         ax.set_title(title)
         
     else:
         label_line = (r'$E[u_t|y^{t-1}]$' if name == None 
                       else name)
-        title = ('推断的工作伦理随时间变化' 
+        title = (cjk('推断的工作伦理随时间变化')
                 if title == None else title)
         
         u_hat_plot = ax.plot(u_hat_t, label=label_line)
         ax.axhline(y=u_0, color=u_hat_plot[0].get_color(), 
                     linestyle='dashed', alpha=0.5)
-        ax.set_xlabel('时间')
+        ax.set_xlabel(cjk('时间'))
         ax.set_ylabel(r'$E[u_t|y^{t-1}]$')
         ax.set_title(title)
 ```
 
 ```{code-cell} ipython3
-
 num_workers = 3
 T = 50
 fig, ax = plt.subplots(figsize=(7, 7))
@@ -509,7 +518,6 @@ plt.show()
 ```
 
 ```{code-cell} ipython3
-
 # 我们还可以生成 u_t 的图：
 
 T = 50
@@ -532,7 +540,6 @@ plt.show()
 ```
 
 ```{code-cell} ipython3
-
 # 我们还可以为所有工人使用精确的 u_0=1 和 h_0=2
 
 T = 50
@@ -561,7 +568,6 @@ plt.show()
 ```
 
 ```{code-cell} ipython3
-
 # 我们可以只为其中一个工人生成图：
 
 T = 50
@@ -579,11 +585,11 @@ uhat_0s = 100
 
 worker = create_worker(uhat_0=uhat_0, α=α, β=β)
 simulate_workers(worker, T, ax, mu_0=mu_0_1, Sigma_0=Sigma_0, 
-                 diff=False, name=r'勤奋的工人')
+                 diff=False, name=cjk('勤奋的工人'))
 simulate_workers(worker, T, ax, mu_0=mu_0_2, Sigma_0=Sigma_0, 
                  diff=False, 
-                 title='一个勤奋的工人和一个不太勤奋的工人',
-                 name=r'普通工人')
+                 title=cjk('一个勤奋的工人和一个不太勤奋的工人'),
+                 name=cjk('普通工人'))
 ax.axhline(y=u_0, xmin=0, xmax=0, color='grey', 
            linestyle='dashed', label=r'$u_{i, 0}$')
 ax.legend(bbox_to_anchor=(1, 0.5))
@@ -592,4 +598,4 @@ plt.show()
 
 ## 未来扩展
 
-我们可以通过创建新类型的工人，并让公司仅通过观察他们的产出历史来了解他们的隐藏（对公司来说）状态，来进行许多富有启发性的实验。 
\ No newline at end of file
+我们可以通过创建新类型的工人，并让公司仅通过观察他们的产出历史来了解他们的隐藏（对公司来说）状态，来进行许多富有启发性的实验。
diff --git a/lectures/kesten_processes.md b/lectures/kesten_processes.md
index d242ef4..f374f31 100644
--- a/lectures/kesten_processes.md
+++ b/lectures/kesten_processes.md
@@ -55,6 +55,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 import quantecon as qe
diff --git a/lectures/lake_model.md b/lectures/lake_model.md
index da4f814..95c8477 100644
--- a/lectures/lake_model.md
+++ b/lectures/lake_model.md
@@ -68,6 +68,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from quantecon import MarkovChain
diff --git a/lectures/likelihood_bayes.md b/lectures/likelihood_bayes.md
index ade64d4..7e9fb06 100644
--- a/lectures/likelihood_bayes.md
+++ b/lectures/likelihood_bayes.md
@@ -44,6 +44,11 @@ kernelspec:
 :hide-output: false
 
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 from numba import vectorize, jit, prange
diff --git a/lectures/likelihood_ratio_process.md b/lectures/likelihood_ratio_process.md
index 26f393d..014e820 100644
--- a/lectures/likelihood_ratio_process.md
+++ b/lectures/likelihood_ratio_process.md
@@ -42,6 +42,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numba import vectorize, jit
diff --git a/lectures/linear_algebra.md b/lectures/linear_algebra.md
index cb9b4ac..4ea7dca 100644
--- a/lectures/linear_algebra.md
+++ b/lectures/linear_algebra.md
@@ -74,6 +74,11 @@ y_1 = a_{11} x_1 + a_{12} x_2 + \cdots + a_{1k} x_k \\
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from matplotlib import cm
diff --git a/lectures/linear_models.md b/lectures/linear_models.md
index 2af4e72..776e692 100644
--- a/lectures/linear_models.md
+++ b/lectures/linear_models.md
@@ -67,6 +67,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 from quantecon import LinearStateSpace
diff --git a/lectures/lln_clt.md b/lectures/lln_clt.md
index 17f5eb2..1ff8397 100644
--- a/lectures/lln_clt.md
+++ b/lectures/lln_clt.md
@@ -51,6 +51,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import random
 import numpy as np
diff --git a/lectures/lq_inventories.md b/lectures/lq_inventories.md
index 7a982f8..2bdfeda 100644
--- a/lectures/lq_inventories.md
+++ b/lectures/lq_inventories.md
@@ -179,6 +179,11 @@ $$
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图像大小
 import numpy as np
 import quantecon as qe
diff --git a/lectures/lqcontrol.md b/lectures/lqcontrol.md
index fe08637..1bed854 100644
--- a/lectures/lqcontrol.md
+++ b/lectures/lqcontrol.md
@@ -72,6 +72,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from quantecon import LQ
diff --git a/lectures/markov_asset.md b/lectures/markov_asset.md
index c4e2bce..10b4a88 100644
--- a/lectures/markov_asset.md
+++ b/lectures/markov_asset.md
@@ -73,6 +73,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 import quantecon as qe
diff --git a/lectures/markov_perf.md b/lectures/markov_perf.md
index e794c45..1473e05 100644
--- a/lectures/markov_perf.md
+++ b/lectures/markov_perf.md
@@ -59,6 +59,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 import quantecon as qe
diff --git a/lectures/mccall_correlated.md b/lectures/mccall_correlated.md
index 1394327..293c757 100644
--- a/lectures/mccall_correlated.md
+++ b/lectures/mccall_correlated.md
@@ -46,6 +46,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 import quantecon as qe
 from numpy.random import randn
diff --git a/lectures/mccall_fitted_vfi.md b/lectures/mccall_fitted_vfi.md
index 1fbc39d..542af65 100644
--- a/lectures/mccall_fitted_vfi.md
+++ b/lectures/mccall_fitted_vfi.md
@@ -45,6 +45,11 @@ VFI和这个插值步骤的组合被称为**拟合值函数迭代**（fitted VFI
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from numba import jit, float64
 from numba.experimental import jitclass
diff --git a/lectures/mccall_model.md b/lectures/mccall_model.md
index ae0eace..9b5ebcf 100644
--- a/lectures/mccall_model.md
+++ b/lectures/mccall_model.md
@@ -60,6 +60,11 @@ McCall 搜索模型 {cite}`McCall1970` 帮助改变了经济学家思考劳动
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 from numba import jit, float64
diff --git a/lectures/mccall_model_with_separation.md b/lectures/mccall_model_with_separation.md
index 18af2d4..6b4e374 100644
--- a/lectures/mccall_model_with_separation.md
+++ b/lectures/mccall_model_with_separation.md
@@ -55,6 +55,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numba import jit, float64
diff --git a/lectures/mccall_q.md b/lectures/mccall_q.md
index 95a1414..c496750 100644
--- a/lectures/mccall_q.md
+++ b/lectures/mccall_q.md
@@ -75,6 +75,11 @@ from numba.experimental import jitclass
 from quantecon.distributions import BetaBinomial
 
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 np.random.seed(123)
 ```
diff --git a/lectures/mix_model.md b/lectures/mix_model.md
index ee4111d..b8c5559 100644
--- a/lectures/mix_model.md
+++ b/lectures/mix_model.md
@@ -112,6 +112,11 @@ $$
 :hide-output: false
 
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 from numba import vectorize, jit
diff --git a/lectures/mle.md b/lectures/mle.md
index 959b469..990d29b 100644
--- a/lectures/mle.md
+++ b/lectures/mle.md
@@ -41,6 +41,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numpy import exp
diff --git a/lectures/multi_hyper.md b/lectures/multi_hyper.md
index 8e68dd6..d715552 100644
--- a/lectures/multi_hyper.md
+++ b/lectures/multi_hyper.md
@@ -108,6 +108,11 @@ $$
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from scipy.special import comb
diff --git a/lectures/multivariate_normal.md b/lectures/multivariate_normal.md
index 134c44e..6e2b90a 100644
--- a/lectures/multivariate_normal.md
+++ b/lectures/multivariate_normal.md
@@ -58,6 +58,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numba import jit
diff --git a/lectures/navy_captain.md b/lectures/navy_captain.md
index 82f99ea..340d5bb 100644
--- a/lectures/navy_captain.md
+++ b/lectures/navy_captain.md
@@ -27,6 +27,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from numba import jit, prange, float64, int64
 from numba.experimental import jitclass
diff --git a/lectures/newton_method.md b/lectures/newton_method.md
index ab66d14..5588108 100644
--- a/lectures/newton_method.md
+++ b/lectures/newton_method.md
@@ -74,6 +74,11 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from collections import namedtuple
 from scipy.optimize import root
 from autograd import jacobian
diff --git a/lectures/odu.md b/lectures/odu.md
index c2ceedc..c3b76e3 100644
--- a/lectures/odu.md
+++ b/lectures/odu.md
@@ -53,6 +53,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from numba import jit, prange, vectorize
 from interpolation import mlinterp
 from math import gamma
diff --git a/lectures/ols.md b/lectures/ols.md
index 519ba36..603c137 100644
--- a/lectures/ols.md
+++ b/lectures/ols.md
@@ -59,6 +59,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 import pandas as pd
diff --git a/lectures/opt_transport.md b/lectures/opt_transport.md
index b64761a..aea300a 100644
--- a/lectures/opt_transport.md
+++ b/lectures/opt_transport.md
@@ -44,6 +44,11 @@ kernelspec:
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.optimize import linprog
 from quantecon.optimize.linprog_simplex import linprog_simplex
 import ot
diff --git a/lectures/optgrowth.md b/lectures/optgrowth.md
index ab82d1f..84df3c4 100644
--- a/lectures/optgrowth.md
+++ b/lectures/optgrowth.md
@@ -57,6 +57,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from scipy.interpolate import interp1d
diff --git a/lectures/optgrowth_fast.md b/lectures/optgrowth_fast.md
index 482c73c..41acf01 100644
--- a/lectures/optgrowth_fast.md
+++ b/lectures/optgrowth_fast.md
@@ -53,6 +53,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 from numba import jit, jit
 from quantecon.optimize.scalar_maximization import brent_max
diff --git a/lectures/pandas_panel.md b/lectures/pandas_panel.md
index 5d07dad..6318fd4 100644
--- a/lectures/pandas_panel.md
+++ b/lectures/pandas_panel.md
@@ -313,6 +313,11 @@ merged.mean().head(10)
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import seaborn as sns
 sns.set_theme()
 ```
diff --git a/lectures/perm_income.md b/lectures/perm_income.md
index a8c7ace..a9a165d 100644
--- a/lectures/perm_income.md
+++ b/lectures/perm_income.md
@@ -48,6 +48,11 @@ Robert Hall在线性二次框架下重新阐述了Friedman的模型{cite}`Hall19
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 import random
diff --git a/lectures/perm_income_cons.md b/lectures/perm_income_cons.md
index f5ab0ab..a3f374c 100644
--- a/lectures/perm_income_cons.md
+++ b/lectures/perm_income_cons.md
@@ -75,6 +75,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import quantecon as qe
 import numpy as np
diff --git a/lectures/prob_matrix.md b/lectures/prob_matrix.md
index ab4c5c0..0a9e2ef 100644
--- a/lectures/prob_matrix.md
+++ b/lectures/prob_matrix.md
@@ -48,6 +48,11 @@ tags: [hide-output]
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import prettytable as pt
 from mpl_toolkits.mplot3d import Axes3D
 from matplotlib_inline.backend_inline import set_matplotlib_formats
diff --git a/lectures/prob_meaning.md b/lectures/prob_meaning.md
index fde0451..48dba06 100644
--- a/lectures/prob_meaning.md
+++ b/lectures/prob_meaning.md
@@ -58,6 +58,11 @@ import numpy as np
 import pandas as pd
 import prettytable as pt
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.stats import binom
 import scipy.stats as st
 ```
@@ -374,6 +379,11 @@ $L(\theta|x) = \binom{n}{k}\theta^k(1-\theta)^{n-k}$
 import numpy as np
 from scipy.stats import beta
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 
 class BayesianCoinFlip:
     def __init__(self, true_theta=0.4, alpha=0.5, beta=0.5):
diff --git a/lectures/rational_expectations.md b/lectures/rational_expectations.md
index c6328a9..a8e683d 100644
--- a/lectures/rational_expectations.md
+++ b/lectures/rational_expectations.md
@@ -66,6 +66,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 ```
diff --git a/lectures/re_with_feedback.md b/lectures/re_with_feedback.md
index 3fec046..bedb019 100644
--- a/lectures/re_with_feedback.md
+++ b/lectures/re_with_feedback.md
@@ -38,6 +38,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 import quantecon as qe
 from sympy import init_printing, symbols, Matrix
diff --git a/lectures/samuelson.md b/lectures/samuelson.md
index 7e76e87..475ef65 100644
--- a/lectures/samuelson.md
+++ b/lectures/samuelson.md
@@ -48,6 +48,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 ```
diff --git a/lectures/sir_model.md b/lectures/sir_model.md
index 3959271..78fb120 100644
--- a/lectures/sir_model.md
+++ b/lectures/sir_model.md
@@ -48,6 +48,11 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 from numpy import exp
diff --git a/lectures/svd_intro.md b/lectures/svd_intro.md
index 5a30f2d..70ec026 100644
--- a/lectures/svd_intro.md
+++ b/lectures/svd_intro.md
@@ -266,6 +266,11 @@ $$ (eq:fourspaceSVD)
 import numpy as np
 import numpy.linalg as LA
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 ```
 
 导入这些模块后，让我们来看示例。
diff --git a/lectures/two_auctions.md b/lectures/two_auctions.md
index eb68016..000733f 100644
--- a/lectures/two_auctions.md
+++ b/lectures/two_auctions.md
@@ -188,6 +188,11 @@ $$
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import seaborn as sns
 import scipy.stats as stats
 import scipy.interpolate as interp
diff --git a/lectures/uncertainty_traps.md b/lectures/uncertainty_traps.md
index 6c3a199..4e16140 100644
--- a/lectures/uncertainty_traps.md
+++ b/lectures/uncertainty_traps.md
@@ -53,6 +53,11 @@ kernelspec:
 
 ```{code-cell} ipython
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #设置默认图形大小
 import numpy as np
 ```
diff --git a/lectures/util_rand_resp.md b/lectures/util_rand_resp.md
index 2debbd1..15cc967 100644
--- a/lectures/util_rand_resp.md
+++ b/lectures/util_rand_resp.md
@@ -11,6 +11,11 @@ kernelspec:
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 import numpy as np
 ```
 
diff --git a/lectures/von_neumann_model.md b/lectures/von_neumann_model.md
index be64c46..8aa4ca4 100644
--- a/lectures/von_neumann_model.md
+++ b/lectures/von_neumann_model.md
@@ -42,6 +42,11 @@ kernelspec:
 ```{code-cell} ipython
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from scipy.optimize import fsolve, linprog
 from textwrap import dedent
 
diff --git a/lectures/wald_friedman.md b/lectures/wald_friedman.md
index 90f3e3d..c88f40f 100644
--- a/lectures/wald_friedman.md
+++ b/lectures/wald_friedman.md
@@ -59,6 +59,11 @@ kernelspec:
 ```{code-cell} ipython3
 import numpy as np
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 from numba import jit, prange, float64, int64
 from numba.experimental import jitclass
 from math import gamma
diff --git a/lectures/wealth_dynamics.md b/lectures/wealth_dynamics.md
index 8698a4f..c013952 100644
--- a/lectures/wealth_dynamics.md
+++ b/lectures/wealth_dynamics.md
@@ -75,6 +75,11 @@ tags: [hide-output]
 
 ```{code-cell} ipython3
 import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+
 plt.rcParams["figure.figsize"] = (11, 5)  #set default figure size
 import numpy as np
 import quantecon as qe
diff --git a/tools/translation.ipynb b/tools/translation.ipynb
index dbe05f8..d073907 100644
--- a/tools/translation.ipynb
+++ b/tools/translation.ipynb
@@ -137,7 +137,12 @@
     "```{code-cell} ipython\n",
     "import numpy as np\n",
     "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\n",
     "from matplotlib import cm\n",
     "plt.rcParams[\"figure.figsize\"] = (11, 5)  #set default figure size\n",
     "```)\n",
@@ -189,7 +194,12 @@
     {
      "data": {
       "text/plain": [
-       "'\\n\\n# 单变量时间序列与矩阵代数\\n\\n## 概述\\n\\n本讲座使用矩阵来求解一些线性差分方程。\\n\\n作为一个贯穿整个讲座的例子，我们将研究一个**二阶线性差分方程**，这是保罗·萨缪尔森在1939年发表文章 {cite}`Samuelson1939`中引入**乘数-加速器**模型的关键技术工具。\\n\\n该模型成为了推动早期美国凯恩斯主义宏观经济模型的计量经济版本的工作马。\\n\\n你可以在[这](https://python.quantecon.org/samuelson.html)篇QuantEcon讲座中阅读该模型的详细信息。\\n\\n（该讲座还描述了一些关于二阶线性差分方程的技术细节。）\\n\\n在本讲座中，我们还将学习非平稳单变量时间序列 $\\\\{y_t\\\\}_{t=0}^T$ 的**自回归**表示和**移动平均**表示。\\n\\n我们还将研究一个涉及求解“前瞻性”线性差分方程的“完美预测”股票价格模型。\\n\\n我们将使用以下导入：\\n\\n```{code-cell} ipython\\nimport numpy as np\\n%matplotlib inline\\nimport matplotlib.pyplot as plt\\nfrom matplotlib import cm\\nplt.rcParams[\"figure.figsize\"] = (11, 5)  # 设置默认图形大小\\n```'"
+       "'\\n\\n# 单变量时间序列与矩阵代数\\n\\n## 概述\\n\\n本讲座使用矩阵来求解一些线性差分方程。\\n\\n作为一个贯穿整个讲座的例子，我们将研究一个**二阶线性差分方程**，这是保罗·萨缪尔森在1939年发表文章 {cite}`Samuelson1939`中引入**乘数-加速器**模型的关键技术工具。\\n\\n该模型成为了推动早期美国凯恩斯主义宏观经济模型的计量经济版本的工作马。\\n\\n你可以在[这](https://python.quantecon.org/samuelson.html)篇QuantEcon讲座中阅读该模型的详细信息。\\n\\n（该讲座还描述了一些关于二阶线性差分方程的技术细节。）\\n\\n在本讲座中，我们还将学习非平稳单变量时间序列 $\\\\{y_t\\\\}_{t=0}^T$ 的**自回归**表示和**移动平均**表示。\\n\\n我们还将研究一个涉及求解“前瞻性”线性差分方程的“完美预测”股票价格模型。\\n\\n我们将使用以下导入：\\n\\n```{code-cell} ipython\\nimport numpy as np\\n%matplotlib inline\\nimport matplotlib.pyplot as plt
+import matplotlib as mpl
+FONTPATH = "fonts/SourceHanSerifSC-SemiBold.otf"
+mpl.font_manager.fontManager.addfont(FONTPATH)
+plt.rcParams['font.family'] = ['Source Han Serif SC']
+\\nfrom matplotlib import cm\\nplt.rcParams[\"figure.figsize\"] = (11, 5)  # 设置默认图形大小\\n```'"
       ]
      },
      "execution_count": 6,