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Created January 24, 2022 09:28
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Michael Artin Algebra, Chapter 2, 4.10
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{
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"metadata": {
"colab": {
"name": "M. Artin, Algebra, Chapter 2, 4.10",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"Для телеграм блога: https://t.me/VladimirsLoveForMath\n",
"\n",
"# Описание задачи:"
],
"metadata": {
"id": "GiucebiHLTd5"
}
},
{
"cell_type": "markdown",
"source": [
"![Screenshot from 2022-01-24 11-10-34.png](data:image/png;base64,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)"
],
"metadata": {
"id": "IU-1RtU0Irfo"
}
},
{
"cell_type": "markdown",
"source": [
"Приведите пример когда произведение двух элементов имеющих конечный порядок необязательно порождает элемент имеющий конечный порядок. Что если эта группа является абелевой?\n",
"\n",
"Другими словами:\n",
"\n",
"Пусть $\\exists x, y \\in G, \\exists n, m \\in \\mathbb{N}\\setminus\\{0\\}$ такие что: $x^n = 1$ и $y^m = 1$. Т.е. элементы $x$ и $y$ образуют две циклические группы порядков $n$ и $m$ соответственно.\n",
"\n",
"Приведите пример таких $x$ и $y$ чтобы $(xy)^k \\neq 1$ для любых $k \\in \\mathbb{N}\\setminus\\{0\\}$."
],
"metadata": {
"id": "WFzXBao0I4XN"
}
},
{
"cell_type": "markdown",
"source": [
"# Случай когда группа $G$ абелева\n",
"\n",
"Легче начать с конца, рассмотреть случай когда группа $G$ является абелевой.\n",
"\n",
"Абелева, значит произведение будет коммутативным, т.е. $xy = yx$. Тогда:\n",
"\n",
"$(xy)^k = (xy\\cdot xy \\dots ) = (xx \\dots yy \\dots) = x^k y^k$\n",
"\n",
"Мы так можем сделать только если произведение коммутативно.\n",
"\n",
"Возьмём $k = nm$, тогда:\n",
"\n",
"$(xy)^k = x^k y^k = x^{nm} y^{nm} = (x^n)^m (y^m)^n = 1^m 1^n = 1$\n",
"\n",
"Соответственно, мы доказали что для абелевой группы такая ситуация невозможна. Всегда найдётся $k = nm$ для которого $xy$ будет порождать циклическую группу\n"
],
"metadata": {
"id": "h0RHW_ziLjU7"
}
},
{
"cell_type": "markdown",
"source": [
"# Основной случай\n",
"\n",
"Итак, группа $G$ не является абелевой и произведение в общем случае некоммутативно. Яcно что мы не можем рассматривать числовые множества ($\\mathbb{Z}$, $\\mathbb{R}$, $\\mathbb{C}$) на роль $G$ так все они являются абелевыми.\n",
"\n",
"Самое простое что нам доступно, где умножение некоммутативно, это матрицы.\n",
"\n",
"Пусть $G = GL_2(\\mathbb{R})$, т.е. группа обратимых (невырожденных) $2 \\times 2$ матриц. Возьмём $n = m = 2$ и подберём такие матрицы $X, Y\\in G$ что:\n",
"\n",
"$X^2 = I$\n",
"\n",
"$Y^2 = I$\n",
"\n",
"Буквально наугад подобрал такие матрицы:\n",
"\n",
"$\n",
"X = \\begin{bmatrix}\n",
"-1 & a \\\\\n",
"0 & 1\n",
"\\end{bmatrix}\\quad\n",
"Y = \\begin{bmatrix}\n",
"-1 & b \\\\\n",
"0 & 1\n",
"\\end{bmatrix}\n",
"$\n",
"\n",
"Окей, смотрим что за матрицу они порождают:\n",
"\n",
"$XY = \\begin{bmatrix}\n",
"1 & a-b \\\\\n",
"0 & 1\n",
"\\end{bmatrix}$\n",
"\n",
"Эта матрица кое-что напоминает. В первой главе было задание 1.6, откуда мы вывели следующее:\n",
"\n",
"$\\begin{bmatrix}\n",
"1 & x \\\\\n",
"0 & 1\n",
"\\end{bmatrix} ^ n = \\begin{bmatrix}\n",
"1 & nx \\\\\n",
"0 & 1\n",
"\\end{bmatrix}$\n",
"\n",
"Матрица $XY$ как раз имеет именно такой вид. Получается что:\n",
"\n",
"$(XY)^n = \\begin{bmatrix}\n",
"1 & n(a-b) \\\\\n",
"0 & 1\n",
"\\end{bmatrix}$\n",
"\n",
"Нам осталось убедиться что $(XY)^k \\neq I$ для любого $k$.\n",
"\n",
"Т.е. нам нужно гарантировать что $k(a-b) \\neq 0$. Так как $k\\neq 0$, то $a \\neq b$.\n",
"\n",
"Мы можем взять $a=1$, $b=2$ и всё должно работать."
],
"metadata": {
"id": "OudP4VBYOtNz"
}
},
{
"cell_type": "markdown",
"source": [
"# Проверка"
],
"metadata": {
"id": "8R8MdVqrWdFi"
}
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"\n",
"a = 1\n",
"b = 2\n",
"I = np.eye(2)\n",
"X = np.array([\n",
" [-1, a],\n",
" [0, 1]\n",
"])\n",
"Y = np.array([\n",
" [-1, b],\n",
" [0, 1],\n",
"])\n",
"\n",
"# check that indeed x^2 = 1, y^2 = 1\n",
"assert np.array_equal(X@X, I)\n",
"assert np.array_equal(Y@Y, I)\n",
"\n",
"XY = X@Y\n",
"kth_XY = XY\n",
"# try to multiply by itself\n",
"for k in range(1,50):\n",
" print(kth_XY)\n",
" kth_XY = kth_XY@XY\n",
" # we should NOT get I for any k\n",
" assert not np.array_equal(kth_XY, I)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yekkKIprWgbj",
"outputId": "c7ac7977-6846-4929-f087-baf12f68bf99"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[ 1 -1]\n",
" [ 0 1]]\n",
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"[[ 1 -20]\n",
" [ 0 1]]\n",
"[[ 1 -21]\n",
" [ 0 1]]\n",
"[[ 1 -22]\n",
" [ 0 1]]\n",
"[[ 1 -23]\n",
" [ 0 1]]\n",
"[[ 1 -24]\n",
" [ 0 1]]\n",
"[[ 1 -25]\n",
" [ 0 1]]\n",
"[[ 1 -26]\n",
" [ 0 1]]\n",
"[[ 1 -27]\n",
" [ 0 1]]\n",
"[[ 1 -28]\n",
" [ 0 1]]\n",
"[[ 1 -29]\n",
" [ 0 1]]\n",
"[[ 1 -30]\n",
" [ 0 1]]\n",
"[[ 1 -31]\n",
" [ 0 1]]\n",
"[[ 1 -32]\n",
" [ 0 1]]\n",
"[[ 1 -33]\n",
" [ 0 1]]\n",
"[[ 1 -34]\n",
" [ 0 1]]\n",
"[[ 1 -35]\n",
" [ 0 1]]\n",
"[[ 1 -36]\n",
" [ 0 1]]\n",
"[[ 1 -37]\n",
" [ 0 1]]\n",
"[[ 1 -38]\n",
" [ 0 1]]\n",
"[[ 1 -39]\n",
" [ 0 1]]\n",
"[[ 1 -40]\n",
" [ 0 1]]\n",
"[[ 1 -41]\n",
" [ 0 1]]\n",
"[[ 1 -42]\n",
" [ 0 1]]\n",
"[[ 1 -43]\n",
" [ 0 1]]\n",
"[[ 1 -44]\n",
" [ 0 1]]\n",
"[[ 1 -45]\n",
" [ 0 1]]\n",
"[[ 1 -46]\n",
" [ 0 1]]\n",
"[[ 1 -47]\n",
" [ 0 1]]\n",
"[[ 1 -48]\n",
" [ 0 1]]\n",
"[[ 1 -49]\n",
" [ 0 1]]\n"
]
}
]
}
]
}
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