60 / 200 : add A x=lam x

Clean ipynb

60_linear_algebra_2/200_Eigenvalues_of_a_Matrix_PowerMethod.ipynb

@@ -18,6 +18,40 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What is an eigenvalue and eigenvector of a square matrix $\\mathbb{A}$?<br>정방행렬 $\\mathbb{A}$의 고유치와 고유벡터란 무엇인가?\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$$\n",
+    "\\mathbb{A}\\mathbb{x}=\\lambda\\mathbb{x}\n",
+    "$$\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If this is true, can matrix $\\mathbb{A}$ change the direction of the vector $\\mathbb{x}$?<br>이것이 참이라면, 행렬 $\\mathbb{A}$는 벡터 $\\mathbb{x}$의 방향을 바꿀 수 있는가?\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Power Method\n",
+    "\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -430,7 +464,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Power Method\n",
+    "## Power Method in a function<br>함수로 구현한 Power Method\n",
     "\n"
    ]
   },
@@ -515,8 +549,12 @@
   }
  ],
  "metadata": {
+  "colab": {
+   "include_colab_link": true,
+   "provenance": []
+  },
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -530,13 +568,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  },
-  "colab": {
-   "provenance": [],
-   "include_colab_link": true
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }