2) , - белгісіздер саны, . Бұл жағдайда теңдеулер жүйесі үйлесімді және анықталмаған. А матрицасының кез келген -ретті нөлге тең емес минорын негізгі деп жариялап, осы минордың элементтері коэффициенттері болатын белгісізді негізгі белгісіздер деп аламыз. Мысалы, негізгі минор:
болса, негізгі белгісіздер болады. Қалған белгісіздер еркін параметрлер рөлін атқарып, теңдеулер жүйесі мына түрде жазылады:
Бұл жүйеден Крамер, Гаусс, матрица әдістерінің біреуін қолданып белгісіздерін табамыз. Белгісіздердің мәні еркін параметрлерден тәуелді болады.
Біртекті теңдеулер жүйесі осыған ұқсас шешіледі. Бұл жүйе әрқашан үйлесімді. Себебі, негізгі матрицаға біріңғай нөлден тұратын тік жолды қосу оның рангін өзгертпейді. Демек,
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABAAAAADJCAIAAAAy19e7AAAuoUlEQVR4nO3deXxM9/7HcVkoIQmJpXYJaqutsbXl1lJi32kTXLftT6uua6uqoHXVVqqIVvX2KlcHjZRQW4kguonWeiX2JfYgsUQie/L7/mZ+N7/5zWTOnJk5c2aSeT3/8EjO+c4530ni/ZnPnDnneBYUFJQCAAAA4Bo8HT0BAAAAAOqhAQAAAABcCA0AAAAA4EJoAAAAAAAXQgMAAAAAuBAaAAAAAMCF0AAAAAAALoQGAAAAAHAhNAAAAACAC6EBAAAAAFwIDQAAAADgQmgAAAAAABdCAwAAAAC4EBoAAAAAwIXQAAAAAAAuhAYAAAAAcCE0AAAAAIALoQEAAAAAXAgNAAAAAOBCaAAAAAAAF0IDAAAAALgQGgAAAADAhdAAAAAAAC6EBgAAAABwITQAAAAAgAuhAQAAAABcCA0AAAAA4EJoAAAAAAAXQgMAAACgPH9//4cPH+ov8fPzS05OdtR8gEI0AAAAAMqrX7/+0aNH9Zc0bNjQUZMB9NEAAAAAKI8GAE6LBgAAAEB5DRo0MLsEcAgaAAAAAOXVr1/fYAlHAOAkaAAAAAAskJub6+lp/hUUDQCcFg0AAACABb766quIiIgvv/yyRYsWEsOMP/BjtgFITk6eMWNGly5dQkJCbJ0lYBoNAAAAgFz5+fnLli27evVqUFDQ+PHjP/74Y29v7yJHVq9evVy5chkZGbpv/f39fX19TW02Ly9PdBSzZ89+9OjRkSNHaABgVzQAAAAAcm3evFm8+i+lfckeHh6+adOmJUuWhIaGFjk4MDAwISFB97XE2/+xsbETJkyIj4/XfXv69Ok9e/b07NlT6bkD/4sGAAAAQK5PP/1U/9ukpKSRI0f+85///PLLL5s0aWIwuEGDBtINwI0bN6ZOnfr9998bLF+8eDENAOyHBgAAAECWgwcPHjt2zHj5oUOHWrVqNXHixNmzZ5cvX75wuf55wAYNQFZWluglPvnkk6dPnxpvMDY2VuwoKChIubkD/4cGAAAAQBaDt//15eTkLFmy5Lvvvlu2bNnQoUN1C/UbAP1zgrdv3z558mTdR4lMWbRoUWRkpM1TBopAAwAAACDLlClTxOv4nTt3JiYmFjng1q1bw4cP7969+xdffNGwYUP9F/26IwAXLlyYOHHi3r17Jfbi5+fXo0ePfv36KTp34P/QAAAAAMjyqtaKFSsSEhJ27NghOoG4uLj8/HyDYfv27WvevPnUqVNff/31woXVqlWbNm1aeHh4Tk6O8Zbd3NxatmzZW6tDhw7u7u72fSZwbTQAAAAAlmmmNX369JSUlN27d4tmIDo6OjU1tXBAdnb2ggUL1q1bp/vWw8OjXbt2SUlJBtvx8fERHYXudf+zzz6r3hOAa6MBAAAAsJK/v/8ordzc3EOHDu3Uunz5sm7trVu3dF/k5eXpv/pv2rSp7kV/x44d5dxUGFAWf3MAAAC2Eq/ju2ktW7Zs9+7dkyZNunTpkvGwDh06hIeHt23bVv0ZAoVoAAAAAGyVn5//22+/6Y4AnDlzxtSwuLg40QO0bt26d+/evXr1at++PR/3h/poAAAAAKz06NGjPXv27NixQ/z78OFDg7V169a9du2a+EK8yvfy8kpLSxNfFxQUHNeaN2+e7oI/ohPo2bNnlSpVHPAE4JJoAAAAACxz9uzZnTt37tq169dff83LyzMeULZs2bCwsMGDBzdv3ryU9vjAsWPH5s+fr9FoRANQOOzBgwcRWm5ubkFBQbrDAu3atRPfqvdk4HpoAAAAAGSJiYnZsWOHeN1/5coViWHidfznn38eEBAQHR1duDA9Pf1f//rXuHHjJkyY8Pvvvxs8RHQFR7U+/vhjf3//4ODgvn376l9FFFAQDQAAAIAsS5cu3bNnj8SAOnXqLF++fODAgbpv9c8DvnjxYqtWrdq1axcXF7du3bqwsDDjq4LqpKSkbNy4MTs7mwYAdkIDAAAAIMv7779vqgEoXbr0e++99+GHH5YrV65wYeH1QEtpG4DCr0ePHj1kyJC5c+eGh4eLF/pFbnDatGkKzRowRAMAAAAgS5cuXYKCgo4dO2awvGvXritXrmzUqJHBclMNgFChQoVFixaNGTNm8uTJu3btMnhg586d27Rpo9zEgf+HBgAAAECu999/X/+TOdWrV//ss89MfVZHogHQadCgge4KQqINOH/+fOFy3v6HXdEAAAAAyDV06NB69eolJiZ6eHiMHz/+448/9vb2NjVY/1zhIhsAnZ49e7766qsrVqwQW0tNTW3evLlYovC8AT00AAAAAHK5u7tPmTIlIiLiyy+/bNGihcTI27dvZ2RkFH57//598eLex8enyMGenp5isyNHjpwxY0bXrl0VnjTw/9EAAAAAWGDs2LHjx483O0z/8z86Fy9eDAoKknhI1apVV69ebdPkABloAAAAACzg6Snr5ZMVDQCgDhoAAAAA5enfBEBH4jQAQE00AAAAAMor8giAQ2YCGKABAAAAUB4NAJwWDQCgmPj4eOkrQghubm5Xr16tU6eOOlMCAOdXUsOTBgBOiwYAUMzGjRvNjikoKFi/fv2MGTNUmA8AFAslNTxTUlIcPQWgaDQAgGIiIiLkDNNoNMWrhgGAXRGegMpoAABlHD58ODExUc7I8+fPHz16tE2bNnaeEQAUA4QnoD4aAEAZ3333nfzBGo2GGgYApQhPwBFoAAAF5OfnR0ZGyh8fERGxdOlSDw8P+00JAJwf4Qk4BA0AoICYmJh79+7JH3///v09e/b06dPHflMCAOdHeAIOQQMAKMCiQ9g6Go2GGgbAxRGegEPQAAC2ysrK2rp1q6WP2r59e2pqqo+Pjz2mBADOj/AEHIUGALDVrl27RDXSX/L888+X0t7aRuJRmZmZmzdvfvPNN+07OQBwVoQn4Cg0AICtjG9h8/rrr7u7u5u9XrVGo6GGAXBZhCfgKDQAgE2ePHmye/dug4Wihnl6es6cObOgoEDisT/99NP169eL153tAUARhCfgQDQAgE2ioqIyMzP1l7Rp0yYwMFB88dJLL/36668SjxUVbsOGDWFhYfadIgA4H8ITcCAaAMAmRR7C1n0xYsQI6RpWSnsgmxoGwAURnoAD0QAA1rt3796BAwf0l7i5ub322mu6r4cNGzZhwoTc3FyJLZw7d+7YsWNBQUF2nCUAOBnCE3AsGgDAepGRkXl5efpLXn755Zo1a+q+9vf3Dw4O3rVrl/RGNBoNNQyASyE8AceiAQCsJ3EIWyc0NNRsDYuIiPjss8+4sz0A10F4Ao5FAwBYKTExMS4uTn+JqEPDhg3TXzJgwIDy5cunp6dLbOfevXt79+7t3bu3XWYJAE6G8AQcjgYAsJLxHey7dOlSpUoV/SVeXl6ijBm/12VAo9FQwwC4CMITcDgaABRvOTk5V69efe6559TftXENCwkJMR4WGhpqtoZt3779yZMn3t7eik0OACQRnoArowFAcZWbm7t27dr58+enpqYeOXKkYcOGau49Xkt/SZkyZQYPHmw8Mjg4uHLlysnJyRJby8jI2Lx58xtvvKHwLAHACOEJgAYAxU9eXt66devmzZuXmJioWzJgwABRxtR8E8j4fSlRq3x9fY1H6j7bumrVKukNajQaahgAuyI8AejQAKA4yc/PF1k/d+7cK1eu6C8/d+7c/v37Bw4cqNpMIiIiDJYYXMJC34gRI8zWsEOHDt24caN27doKTA4A/j/CE4A+GgAUD6J6bdy48eOPP7506ZLx2iVLlqhZwA4fPlz4/pmOl5dX//79TY1/6aWX6tWrZ/AQA7o720+fPl2hOQLA/yA8ARijAYCzE+EeEREhqtf58+eLHDBnzpwpU6aoOSXjM9j69OlTvnx5iYeEhIQsXLhQerMajYYaBkAphCcAU5y0ARCxdezYsQMHDhw6dOjKlSt37txJTU3Nz8+3eoPp6elnz549d+7cjRs3bv6H2GZmZmaGVlZWlpeXl7eWn59f48aNmzRp0rRp0w4dOvj7+yv41JR18eJF8SM6depUfHx8YmLiw4cPnz596uvrK+ZcuXLlF154oWPHjp06dapevbpDpid+jye0EhISxFTF7/Hu3btPnjwRP+3c3NwKFSr4+PiIH7iYXkBAQL169erXr6/7sXt6/u9fZmRkpChR4ndnahcffPDBhx9+qNYT+h/i71DMymChxCFsndDQULM1TDzN48ePi9+aTfODayM8ZSI8CU/A+Ske6YWsbADCw8MnT55s0UNEgz5ixAizw0QWi5EbN268deuWdXPTESVK/MiOHj168uRJEaDXrl0TP0Tph6RpiR+u+LrwHiVubm5t27YdOXLkn//8ZxG4Vszk8ePHlSpVsugha9as+ctf/mJqbXZ29r59+7Zu3bp3794if0opWhcuXPjtt9+++OIL8RQ6d+48derUXr16WTp564g6umPHjk2bNh08eFA8fVPDHmuJL86cOaO/vGzZsu3btxfV94cffjC4WISBCRMmmC0MiouJibl3757+EvGHYfZC1M2aNWvevPnp06elh4k/fmpYyUZ4ykd4mhpGeBojPOEQzh/ppqh3BODBgwcSa/Py8qKiopYvX3748GHb9/Xss88apIzVROX7XWv27NlhYWHi16zCXcdv375d5PITJ0589dVXERERT548kb818RQOavXo0UNUxxo1aig0zSKImS9btuzrr7+2aIYGMjMzD2lJDxszZoz4g7F6L1YzPoQ9YMCAZ555xuwDxX94swepxcaXLFlSUu9sf/fuXfEH7OhZ2IuInXfeecceWyY85SM8CU/r5wcLEenWUTPSJVjZAIiOvFOnTqdOnUpNTZX5EFNPOCcnZ/Xq1Z988smNGzesm4wxpQqYvocPH06bNi0yMlL8YmrVqiX/gSLd+vfvf/ToUVOVyZjByIyMDBFt4r+Z2IgFMzYSHR0dFBT0448/tmrVypbtFCk7O3vx4sULFy4Us1V848ZEPXBI7mRlZW3dutVgodlD2DohISHiZZD0m6niT1f8mlR7u1FlSUlJc+bMcfQs7KVly5ZyqgXhKf+BhKc9EJ5QCpFeyukjXYKVDcCrWuKLy5cvn9Aj2kFTDzF+wvn5+WvXrp07d+7169etm4b6RBVp3779oUOHGjRoIPMhZcuW3bZtWyltrywerju2Lv7VHS4vUuHhnvv37y9dulSEtcSxYIuIOYhf3G+//abs3R8vXbo0dOjQf//73wpuU8KQIUPWrVvn5uamzu707dq1y+A/ub+/f/fu3eU8tnbt2h07dvz555+lh2k0GmpYCUZ4Ep76CE85jyU84bSKb6Tb+hGg+loiv3Tfuru7mxr58OFD/W9jY2MnTZqkWurpE6Hz8ssvB2kFBARU0srNzRW9rPj9RUVFbd68WeIAjag9wcHBx48fL/LGJRKqVavWR0v3rcTP6vbt22ICCxYsWLVqleLvCYktDxo0SMxfzoFXOX755Ze+fftK977iZ9WtW7cePXqIn7nuHLsyZcokJyeLIn3hwoU9e/bs3btX5pt8vXv33rhxo8RPz66Mb2EjCmrhWXdmhYaGmq1hP/zwQ1paWoUKFayZH4oPwlM+wpPwJDzh5IpdpDvgHADRFU2cONH4UgD25ufnJxJExPef/vQn448JikDX/fJEzs6fP/+vf/2rxAyvXr36t7/97dtvv7XTVBMSEgIDA+UfTrLU2bNnRaM5b9482zclCljPnj2fPn1qakDZsmUnT54cFhZmHMo1tFq2bDls2LC8vLx//OMfs2fPTklJkdid+MWJul66dGnbZ26FJ0+e7N6922ChzEPYOuKZTpgwIScnR2KM7s72EicywtUQnvIRnqYQnoCTcHik66jdAERERIwfP176BAjFVa9efdq0aWPGjPHy8pIz3t/fX8zTx8dn9erVpsasX79ehFGbNm2Um+b/MS4JlSpVElkvSqyobbqLvlWsWNHX11dMUlRf8fMU0X/ixImDBw9u3bpVzo93+fLlYv5Vq1a1ZZ7Xr18fPHiwRAETP/n9+/c3btzY7KZEcRo3btxrr73WrVs3iT5YlLq33norOjrayhnbJioqKjMzU3+JeIKvvPKK/C2IF1LBwcE7d+6UHqbRaKhhKER4ykd4mhpGeAJOwoGRrk+9BkA0Ov/1X/+1Zs0a1fZYaPbs2W+//balj1q1apXuQnimBsyfP9/4lCaliMrUrl27jh07tm3btnXr1nXr1pUYXFWrSZMmoaGhS5cuFfVJzC07O1viIaLwfP3117NmzbJlkiNHjkxOTja1VuS7RZ/3LaV99SBqnqgKBte20xcTE7NhwwY5l9BSnPEh7GHDhln6aVrxOzJbw2JjY2/evGnR6ZIowQhPixCepsYQnoAzcGCk61OvAbiqZbDQw8OjiVbTpk2bNWsWEBAggq9ixYrp6eki+2y5Gpq+wk+OWkTMbe7cuf369TM1YPfu3SkpKXa6082jR4+s+5ipt7f3hx9+2KlTp0GDBkmf/bZ27Vpbatjq1at/+eUXiQHr1q2zqIDpiJ+nKBVBQUF5eXmmxohph4SEqPxJ1nv37h04cMBgoUWHsHUGDBhQoUKFtLQ0iTG6O9t/8MEHlm4cJRLhaRHCk/AkPOHMHBjp+hxwJ2DR9L/wwgtdtETUFnm+jpeX16RJk0QJsX13LVu2rFmzpnWPFcWvdu3apq7HlJOTs2/fPitSTA4bTzLr3Lnzpk2bevXqJXHdNPH3d+bMGfGnZsX2xXOXvviX+NHpzou3QosWLUaMGCHxKeFr165t3bp1yJAh1m3fOpGRkQZltW7duh06dLB0O+XKlRNlTJQo6WEajabk1bAqVapMnDjR0bOwF6tzRj7CUw7Ck/AseeHpnIh0G6kc6QZUbQAaNmz49ttvi9CX82N97733vvjiC4Nzpa3Qt29fWx7eu3fvf/zjH6bW/vLLL3aqYbbr0aPH2LFjV61aJTEmNjbWuhq2fv166VvT2RgK48aNkz5NUNQAlWuY8SHs1157zbpNiQpttoaJlxcnTpxo3bq1dbtwTjVq1Fi2bJmjZ1EsEZ5qIjyVRXiWVES61RwS6QZUbQDOnz8vf7CPj8/UqVNnzpxp405trGEvvviiRA07e/asLRu3t+nTp3/99dcSh4NFSlq35XXr1kms9ff379atm3Vb1mnXrl2tWrVu3rxpasCePXuysrKUuhifWYmJiXFxcQYLrX750r179ypVqty/f196mEajoYZBh/BUGeGpFMITMOaQSDfggI8AyTdx4sTly5eb/a8uQSSFSENb5iC6NIm1165ds2Xj9la7du3evXvv2LHD1IALFy5YsdmkpCTp6zF37drV9hvNdOnSRYS4qbWZmZm///57p06dbNyLTMZ3sG/UqJHV9wT18PAYPnz4ypUrze50yZIljrpoN4o1wtNGhKdSCE/AdrZHujGnbgC8vLymT5/+3nvvWb2FXr162Rim0leQcOD1m2QSlUCihkkfiTblp59+kr4luyIX+BMVQqKGCXFxcQ6sYTZ+eiE0NNRsDbt79250dHTPnj1t2RFcE+FpO8JTEYQnYDvbI92YUzcApbQfZ/zss89k3uawUH5+vlITkL6noMRVnJ2E9IlW0jeOMeXw4cPSA+Rcu9qsRo0aSQ9ISEiwfS9yxGsZLLSxhr344osBAQHG1wEwIKo4NQzWITxtRHjajvAElGJdpEtw9gbgmWeekfgsowrKly8vsVb6ctHOQPpyyAZ3ZpHp3Llz0gOk3/mTqU6dOtIDLl26ZPte5DA+g61ly5ZmS6xZISEhCxYskB6zbds27mwP6xCeNiI8bUd4AkpRPNKdvQFwOOP73hcvlSpVkliblZVlxTbNvvVSpUoVKzZrwOw1wpOSkmzfixwREREGSxS5ekloaKjZGpaRkbFly5bRo0fbvjtAZYSnMcKT8AScBA1ACSf9Jpx1zJ6GUrFiRdv3YnYj1h2Ct9Thw4cTExMNFipSw5o2bdqyZctTp05JD9NoNNQwQH2Ep40IT8CZ0QDAYmY/vKvIBebKlCkjPSAjI8P2vZhlfAZb+/btFTlMX0r7PpbZGhYbG3vr1i0V7kgCwN4IT8ITcBI0ALBYTk6O9ADbL2MnZyO5ubm270Vafn5+ZGSkwUIF714UEhIyffp06auCiDls2LBh2rRpSu0UgKMQnkptn/AEbEQDAIt5eXmlpaVJDEhPT7f91CvpXZTS3hbexl2YFRMTc+/ePf0l7u7uw4cPV2r7tWrV6tSp008//SQ9TKPRUMOAEoDwVGr7hCdgIxoAWEzUJxVqmNiI9ABRSm3chVnGh7BFyalevbqCuxgxYoTZGpaQkHDy5Emrb50DwEkQngrugvAEbEEDAIv5+PhIX0RCVLhq1arZuBezb2IpW0uMZWVlbd261WChgoewdYYOHTp+/HizHwzQaDTUMKC4IzwVRHgCtqABgMUCAwMvXLggMeDOnTv169e3cS9m73ah1MlkpuzatSs1NVV/iaenpyg5yu6lUqVKvXr12r59u/Sw77777tNPP+XO9kCxRngqiPAEbEEDAIs1atRoz549EgPOnz/fsWNHG/dy9uxZ6QGK3DJTgvEtbHJzcxW5SrcVkpKS9u3bFxwc7JC9A1AE4ak+whMokms1ADdv3rymdefOnSdaqampui/S0tKy/iMzM1P/a0fP2uk0bdpUeoDZu13KYbaGtW/f3va9mCL+JHbv3m2/7VtBo9FQw+AohKciCE+HIDwBYyW/AThx4sSOHTsOHz78xx9/PHjwwNHTKQm6dOkiPeDo0aO270X8viTWuru72/4+mYSoqChne/mybdu29PR0e9ycCCgS4ak4wtMhCE/AWIltAO7evbty5cpvv/32+vXrjp5LSdOgQYOAgACJe9r/8ssv4uWCn5+f1btISko6cuSIxICXXnqpatWqVm/fLOND2A739OnTLVu2/PnPf3b0RFDCEZ72Q3g6BOEJGCuBDcDjx4/DwsLWrFmTnZ3t6LmUWIMGDVq6dKmptXl5edu3b//LX/5i9fZ/+OEH6Tu8jBgxwuqNm3Xv3r0DBw7Yb/tW02g01DDYD+GpAsLTIQhPwEBJawBEdI4dO1b6OmtCjRo1WrRo0aBBgzp16lStWrVixYre3t5l/+OZZ57R/6J06dLqTL4YGT9+/PLly/Pz800NEBVOpK11F14QJTA8PFxigL+//+jRo63YskyRkZFiDvbbvtUOHjx4+/Zt8dfr6ImgBCI81UF4OgThCRgoUQ3AypUrJ0yYIPHmx/PPPx8SEjJo0CB7XwOhxKtXr97AgQOjoqJMDYiPj1+9evXbb79txca/+eYb6TPhpk+fLl5bWLFlmYwPYbds2fLEiRP226MQERERGhoqPUZ3Z/v333/frjOBCyI8VUN4Ko7wBKxQchqAFStWTJo0ydRaPz+/efPmvfPOO25ubipOqiT79NNPf/zxx4yMDFMDRKVp3769SH+LNpuQkBAWFiYxoFmzZhK/aNslJibGxcUZLFT8FjbG+vXrJwqz2ZPnNBoNNQzKIjxVRngqi/AErFBCGoATJ05I/McODAzcv3+/vW994moCAgJmz54tCpWpAY8ePerevbv4yTdv3lzmNi9evNijR4+HDx+aGlC+fPmIiAgPDw+Lpyub8R3sheHDh9tvjzriqfXq1cv49pkG4uPjT506ZekrAyeRnp6uyEVOnFOFChWCgoIcPQuLEZ7qIzyV5Qrh6ZyI9GKtJDQAeXl5I0eONHU/8HLlyu3YsYMCZg/idYP4z79582ZTA5KTk9u2bTtlypRZs2Z5eXlJbCozM3PRokWLFy+WeFfM09NTo9E0a9bMpkmbY1zDxFMQBduuO9UZNmyY2RpWSvs+VjGtYZcuXTJ7GcTiS4WPOiiO8HQUwlNZJT48nRORXqyVhAYgKipK4r4n06ZNa9KkiZrzcR1ubm7r168XhSo2NtbUmOzs7E8++eTrr78eMmRI586dmzdvXrt2bdFYi9cc4oH379+Pj4/fvXt3dHS0xHtXQpkyZTZs2DBw4EDFn4W+eC2DhSocwtaReSB748aNothzZ3vYjvB0FMJTWYQnYKmS0ABIXPRAJMKECRPUnIyrEaVlz549Y8eO/de//iUx7MGDB//Usm4vtWrV2rx5c7t27ax7uHzGZ7CJOq3CIWwdmQeyk5KSYmJievTooc6sUIIRng5EeCqI8AQsVewbgAsXLvz222+m1nbv3r1SpUpqzscFiTK2Zs2ajh07Tp8+PTk5WdmNu7u7jxkzZuHChRUrVlR2y0WKiIgwWPLSSy/VrFlThV3riHop80A2NQw2IjwdjvBUEOEJWKTYNwDR0dESa7t27araTFzcm2++OWTIkLfeekvi8nYW8fDwEIEeFhb2/PPPK7JBsw4fPpyYmGiwULVD2Dp9+/YtV66cxGd5dUSd4872sBHh6SQIT0UQnoBFin0D8Mcff0is5XQfNaWmpooyYONGSpcu3b59e1EORfGoVq2aIhOTyfgMNnd396FDh6o5B92BbLOvA54+fSrGjBo1Sp1ZoUQiPJ0H4Wk7whOwSLFvACTOYBO4foVqHj9+LML3zp07hUu+/PLL1q1bnz59+uLFi1euXLl9+/b9+/dTUlIyMzOzsrLc3NzKli1brly5KlWqPPvss/Xq1WvWrJl4zfHiiy9KX/LCTvLz8yMjIw0WvvLKKyrX0VLay1nIeSNQo9FQw2ALwtNJEJ5KITwB+Yp9AyCSUWKtyEfVZuLKcnJyBg0adObMmcIloiy99dZbunekHDgx+WJiYu7du2ewUOVD2Dr9+vWTcyD7wIEDxe7O9r6+vgMGDHD0LOxFncsdKojwdAaEp4JKcHg6JyK9WCv2DYD05c9EFqg2E1f25ptvGlzMbty4caKAOWg61jA+hO3p6Tl48GD1Z+Ll5SXnQHZ+fv7GjRunTp2qzqwUUa9ePTln6UEdhKczIDwVVILD0zkR6cVasW8AsrKyJNYWFBSoNhOXNXPmzA0bNugvES8d3n33XUfNxwrir8g4xbp16+bv7++Q+QwfPlzmgWxqGKxGeDoc4ak4whOQqdg3AGXKlJG490dqaqqfn5+a83E1q1evXrhwocHCUaNGOSr9rbNr1y7xp2Kw0CGHsHVkXs7i9OnT//73v1u0aKHOrFDCEJ6ORXjaA+EJyFTsGwAfHx+JGvb48WNqmP3s3bt33LhxBgvd3NwmTZrkiOlYz/gWNuK1kb1vnCnBy8urd+/eW7ZsMTtSo9F8+umnKkwJJQ/h6UCEp50QnoBMxb4B8Pb2Nj79qNCZM2dK/GkcjnLy5Mlhw4bl5uYaLO/Zs2fjxo0dMiXrPHnyZPfu3QYLg4ODfX19HTIfHfGzlVPDRPVdtGgRd7aHFQhPRyE87YrwBOQo9g1AlSpVLl++bGrt8ePH+/Tpo+Z8XMSNGzfEDzYtLc141eTJk9Wfjy2ioqKM3wd14CFsHZkHsu/cubN///7u3burMyuUJISnQxCe9kZ4AnIU+wagSZMmcXFxptZu3779ww8/VHM+ruDx48e9e/fWv2q1vkqVKqk8HxsZH8IWxaN///4OmUwhiw5kU8NgBcJTfYSnCghPQI5i3wBI3+r82LFjp06d4paWyhoyZEhCQoKptb169Vq2bFloaKibm5uas7LOvXv3Dhw4YLBQFA9nuFH88OHD5dSwrVu3Pn361CE3AEKxRniqj/BUB+EJmFXsGwCz9WnChAmHDh2yevsS75C5LPGyQGJtcnLyqFGjZs2aJSK4U6dOjRs3rl69erly5Zzzo5aRkZF5eXkGCx1+CFunT58+ojKJ+iQ9LD09PSoqauTIkerMCiUG4ak+wlMdhCdgVrFvAERKVqxY8dGjR6YG/PzzzzNmzFiwYIFFm83Jydm0adOKFSuOHj1q6xRLnDp16qSkpEiPuXbt2qdatuyodOnSZcuW9fX1rVatWt26dZs1a9amTZs//elPCp5hZnwIu0KFCk7y0WfdgezNmzebHanRaKhhsBThqT7CUx2EJ2BWsW8ARMwNGjRo7dq1EmM++eSTu3fvijw1e1W7/Pz82NjY7777bsuWLRJ10cUFBwefOHFChR3laD158uTmzZvHjh3T3d7F3d29c+fOo0ePDgkJ8fS06Q84MTHR+E3Kfv36icJpy2YVNGzYMDk1bP/+/Xfu3KlevboKU0KJQXiqj/BUDeEJSCv2DUAp7Z1TpGuYIAaIsiRGivxt3rx55cqVvby8srKy0tLSkpKSrl+/fubMmSNHjogCZvz2jAhNUdvsNv3iR9SPxYsXO+pnIvZ7QGvmzJkLFy4cMWKE1ZsyvoN9Kac5hK3Tt29fOQeydXe2f++999SZFUoMwlNlhKdqCE9AWkloADp37ty7d2/jqxEbSE1NXall0caHDh0aGBgoItuGCZY0jRo1evfddy39SSru5s2b4kVJZGTk+vXrvb29rdiCcQ3z9fUVr3KUmJ0yypUrJ/9ANjUMliI8VUZ4qobwBKSVhAZACA8P379/f1ZWlrKbnTlz5ty5c3UHT6FvwYIFBw8ePHPmjKMnUmrHjh2dOnUSkzF7BT3x55GQkKC7A7zuX+O7ID1+/Lh+/frPPfecqNPPaYkvAgICVDsJLykp6cKFC+fPny/898qVK3IeKJ5O1apVm2g1btxY90WdOnXsPWEUd4SnyghPOyE8AYvY2gCI/2An9EgPrly5cgM9DRs2FP/6+/vbOAdB5M6yZcuM76xuterVq69evbpXr17i61atWkmMrFGjxgt6JFJDJObRo0ePHTt2VEt6As8++2wLPU2bNi1Tpoycmefm5p49e1Yk2qlTp3T/So+vWbNmmzZtgv5D7FfOXry9vXfu3NmxY8fbt2/LGW9X4mn26dPn0KFDpUuXNlgVHx+/bds2XcW6dOmS8TUrjN3SEkWxcInYrK6w6UraG2+8oWBJ27dv3+HDh3XlSnjy5InVm0pOTv5Zq3CJl5eXmLCupL366qsdOnRQYspQBuFJeMoZb1eEpw7hCds5SaTLZ2UDEBMTM2/evJMnT6ampsp/1IMHD37X0l/o6+ure/5r16615fyhsWPHpqWlffDBBwUFBVZvpJQ2sMaMGTN37tzCN0UCAwNFZJsKl6SkpN1aum/9/Pxat269ZMmSwkvsZWZmhoSEiKIlklH+NETBi9HSfevp6SkCtH379t98842ph8yYMePHH38UBSw7O1v+ju7cubNDS/etKN6ikq1bt87se0L16tWLi4vr16+f2TKpAjET8fSNr5uxZcuWOXPm2LjxnJycc1q6b19//XUFL3S9YMECW660KO3p06eFSXT58mVqmDMgPAsRnoSnLQhPOAMnjHSZrGwAEhISfvrpJ0Vm8Pjx42NaX331lY1PeOrUqaJZFxVI1BUrHi6CacSIEdOmTRNFy2BVixYtfv31VzkbEb/U/fv3JyYmFtawrKysH374wYr56MvNzT1z5oyoghI1TBQw28uJKGk7d+4Uf8dy7klZq1atI0eO/P3vf//ss89E0Nu4axstX778jTfeaNq0qWOnAUgjPE0hPB2F8ASs5pyRLkcJOQegUJ8+fc6fP79s2bJVq1bdvXtXzkPKlCnTuXPngQMHhoaG+vj4FDmmVatWMmuYqxE/vQULFrz99tuLFi3asGFDWlqao2aSl5cnZrJ+/XpHTQAo1ghPlRGeABzIygZgopayU1GKt7f3Rx99NHPmzIMHD8bGxh4/fvzKlSuinukuB+at5efn16hRoxYtWoji1KlTJ7MHJT/Xsm4+vr6+6lz0TZ3LSxepXr16Q4cO3bZtmwNrmPD9999/8cUXFStWLFwyW8txMzJP//OycAWEp3yEp2oIT8A6zhzp0kraEYBCHh4er2o5eiIlX0FBgagTCxYsKCzVbm5uopa8++67Nm45NTU1JSVF1OZ9+/atX78+PT1denxOTs6uXbtsubg1AMJTNYQnAEcpsQ0A1PHo0aOQkJC9e/fqLwwPD7e9gAk+WgEBAYMHD54/f/6YMWO2bt0q/ZCff/6ZGgbA+RGeAByIBgDWu3LlSs+ePS9duqS/8J133hk/frzi+/Lz89uyZYuol5s2bZIYdvr0acV3DQDKIjwBOBYNAKx08uTJXr16GZws2LBhw6VLl9pvp998882BAwfu379vakBiYqL99g4AtiM8ATgcDQCsce7cue7du6ekpBgsX7lyZbly5ey3Xy8vr7/+9a9///vfTQ149OiR/fYOADYiPAE4AxoAWOzu3bs9evQwLmDqnDgYHBwsUcMsuo8PAKiJ8ATgJGgAYLHRo0ffvHnTePnUqVNV2HuDBg0k1np5eakwBwCwAuEJwEnQAMAyq1evjo6ONl5et27dHj16qDAB/StVG5NzD04AUB/hCcB50ADAAllZWXPmzCly1eDBg9WZQ0ZGhsRa6be4AMAhCE8AToUGABaIioq6detWkateeeUVdeZw584dibXNmjVTZxoAIB/hCcCp0ADAAtu2bTO1qlWrVurMIT4+XmKtaqUUAOQjPAE4FRoAWOD48eOmVlWtWlWdORw4cMDUqtKlS3fp0kWdaQCAfIQnAKdCAwALSB9BVkFubu6WLVtMre3ZsyfnsQFwQoQnAKdCAwALiBJialVycnKtWrXsPYFNmzYlJSWZWvvWW2/ZewIAYAXCE4BToQGABSpXrnz79u0iV128eNHeNSwjI+Ojjz4ytbZFixb9+/e36wQAwDqEJwCnQgMACzRt2tRUDYuJibH3R0j/9re/Xb161dTaRYsW2XXvAGA1whOAU6EBgAVElRK1qshV33///bx589zc3Oy0a7HxNWvWmFr7xhtvBAcH22nXAGAjwhOAU6EBgAVee+21WbNmFRQUGK+6dOnSihUrJk6cqPhO8/PzJ0+e/Pnnn5sa0LJly/DwcMX3CwBKITwBOBUaAFggMDBw8ODBpi4lMW3atPr16/ft21fBPSYkJLz55pt//PGHqQG1atXauXNnhQoVFNwpACiL8ATgVGgAYJklS5bs3bs3LS3NeFVOTs6gQYNmzZoVFhZWpkwZG3d0/vz5xYsXf/vtt3l5eabGPPfcc9HR0TVr1rRxXwBgb4QnAOdBAwDL1K1bd/369YMHD87PzzdeK+rNnDlzvvnmm/Hjx48aNap69eqWbv/27dvbt2+PjIyMjY2VHtm1a9eIiIjKlStbugsAUB/hCcB50ADAYv3799+4caMoUTk5OUUOuHnz5vTp08PCwlq3bv3yyy+3atUqMDCwRo0a/v7+FSpUKF26tBiTnZ2dlZX14MGD+/fvi/EXLlxISEg4fPjw5cuXzU6gTJkys2fPFruw32lzAKA4whOAk6ABgDWGDx9et27dkJCQxMREU2MKCgqOaym764EDBy5ZskQURWU3CwAqIDwBOAMaAFipffv28fHx8+fPX758eUZGhr135+HhMWjQoPfff79t27b23hcA2A/hCcDhaABgPS8vL1HDpkyZsnLlyrVr1167ds0ee2ncuHFoaOioUaPq1q1rj+0DgMoITwCORQMAW/n7+3+k9euvv+7cuXPfvn0nT54s8iw3+Xx8fDp16tSlS5fu3bs3b95cqakCgPMgPAE4Cg0AFPOy1sKFC58+fSrK2OnTp69cuXL16tWkpKSUlJSHDx+mp6dnZ2frzn575j8qVKhQ7T8CAgKaaokvHP1sAEAlhCcAldEAQHleXl4vaTl6IgBQnBCeANRBAwAAAAC4EBoAAAAAwIXQAAAAAAAuhAYAAAAAcCE0AAAAAIALoQEAAAAAXAgNAAAAAOBCaAAAAAAAF0IDAAAAALgQGgAAAADAhdAAAAAAAC6EBgAAAABwITQAAAAAgAuhAQAAAABcCA0AAAAA4EJoAAAAAAAXQgMAAAAAuBAaAAAAAMCF0AAAAAAALoQGAAAAAHAhNAAAAACAC6EBAAAAAFwIDQAAAADgQmgAAAAAABdCAwAAAAC4EBoAAAAAwIX8N4fGWaw3pfUnAAAAAElFTkSuQmCC) Бұл жүйе үшін де төмендегі екі жағдай қарастырылады: 1) . Бұл жағдайда біртекті теңдеулер жүйесінің бірден-бір нөлдік (0,0,...,0) шешімі болады. Бұл шешім
Достарыңызбен бөлісу: |