proof: Gaussian RANDOM matrix is a full rank matrix
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Step-by-step explanation:
A matrix is full row rank when each of the rows of the matrix are linearly independent and full column rank when each of the columns of the matrix are linearly independent. For a square matrix these two concepts are equivalent and we say the matrixis full rank if all rows and columns are linearly independen
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