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An invertible matrix is a square matrix that has a unique inverse. This means that when multiplied by its inverse, it results in the identity matrix.
A matrix is invertible if its determinant is non-zero. The determinant of a matrix can be found by performing a series of calculations on the elements of the matrix. If the determinant is non-zero, the matrix is invertible.
The inverse of a matrix is a matrix that, when multiplied with the original matrix, results in the identity matrix. It is essentially the reciprocal of the original matrix.
The inverse of a matrix can be found by using various methods, such as Gauss-Jordan elimination or the adjugate matrix method. These methods involve performing a series of calculations on the original matrix to obtain the inverse.
The inverse of a matrix is important because it allows us to solve systems of linear equations and perform other mathematical operations with ease. It is also used in various applications such as cryptography, computer graphics, and optimization problems.