If the generated inverse matrix is correct, the output of the below line will be True. Since the resulting inverse matrix is a $3 \times 3$ matrix, we use the numpy.eye() function to create an identity matrix. You can verify the result using the numpy.allclose() function. The NumPy code is as follows.Ī = np.array(,, ])Įxecuting the above script, we get the matrix We will use NumPy's () function to find its inverse. Now we pick an example matrix from a Schaum's Outline Series book Theory and Problems of Matrices by Frank Aryes, Jr 1. In Linear Algebra, an identity matrix (or unit matrix) of size $n$ is an $n \times n$ square matrix with $1$'s along the main diagonal and $0$'s elsewhere.Īn identity matrix of size $n$ is denoted by $I_$.Īn inverse of a matrix is also known as a reciprocal matrix.
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