Coding Theory
An eigenspace is a collection of all eigenvectors associated with a specific eigenvalue, along with the zero vector. This space represents the set of vectors that, when transformed by a given linear transformation represented by a matrix, only get scaled by the eigenvalue rather than being rotated or skewed. Eigenspaces are crucial in understanding the behavior of linear transformations and help in diagonalizing matrices and solving systems of linear equations.
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