ipynb • Lines: 277{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "b1335fc0-8ea5-4686-ac3b-9d0e79a8dac4",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import math\n",
"from numpy import linalg as la\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2242fbb7-0167-4442-8306-d75c5435f70c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[2, 2],\n",
" [6, 4]])"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = np.array([[1,2], [3,4]])\n",
"b = np.array([2,1])\n",
"\n",
"a * b"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c38b710c-e065-477e-b82b-bc4431fa7186",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 4, 10])"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.matmul(a, b)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "6dc9b454-4b59-4178-b877-93e58d4dec8a",
"metadata": {},
"outputs": [],
"source": [
"b = np.arange(9).reshape((3,3))\n",
"va, ve = la.eig(b)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e33d691b-3a22-4f00-81a8-67696c9f74d6",
"metadata": {},
"outputs": [],
"source": [
"diag = np.diag(va)\n",
"inv = la.inv(ve)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9a970377-f1b0-4dcf-bb7f-4c835018e33c",
"metadata": {},
"outputs": [],
"source": [
"c=np.matmul(diag, inv)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "be910829-995f-46ff-a1bb-b65e941402c2",
"metadata": {},
"outputs": [],
"source": [
"c=np.matmul(ve, c).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "68e08103-e769-4e54-9e05-380f616439b2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ True, True, True],\n",
" [ True, True, True],\n",
" [ True, True, True]])"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b ==c"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "d73c6258-f240-4b59-acf9-4201605c574b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ True, True, True],\n",
" [ True, True, True],\n",
" [ True, True, True]])"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d = np.matmul(ve, diag)\n",
"d = np.matmul(d, inv).astype(int)\n",
"d==b"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "af25c833-9dc1-4b73-ac04-fd3958e7d469",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ True, True, True],\n",
" [ True, True, True],\n",
" [ True, True, True]])"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d == c"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "7271d9dd-6c9e-418e-ab59-00367a640734",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[1, 0, 0],\n",
" [0, 1, 0],\n",
" [0, 0, 1]])"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.matmul(ve, inv).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4a9524a3-8cbb-4d67-af38-bc41b96429ff",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[13, 0, 0],\n",
" [ 0, -1, 0],\n",
" [ 0, 0, 0]])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"diag.astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "b69465ea-c038-4513-873f-818e02cc4673",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[13, 0, 0],\n",
" [ 0, -1, 0],\n",
" [ 0, 0, 0]])"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"e = np.matmul(ve, inv)\n",
"e = np.matmul(e, diag).astype(int)\n",
"e"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fc078bb4-582c-41e7-aedf-49bd643b086f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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"language_info": {
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"file_extension": ".py",
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