1.6. Загальні системи лінійних рівнянь. Розглянемо систему m рівнянь з n невідомими вигляду:
![](data:image/png;base64,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) Позначимо через основну матрицю цієї системи лінійних рівнянь, яка складена з коефіцієнтів при невідомих, а через - розширену матрицю цієї системи, яка одержана шляхом доповнення матриці стовпцем вільних членів:
![](data:image/png;base64,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) Теорема Кронекера-Капеллі:
Система лінійних рівнянь з невідомими сумісна тоді і тільки тоді, коли ранг основної матриці системи дорівнює рангу розширеної системи:
,
причому, система має єдиний розв’язок, тоді і тільки тоді, коли :
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