In linear algebra, an eigenvalue being zero indicates that the corresponding eigenvector is not stretched or compressed by the linear transformation. This means that the transformation collapses the vector onto a lower-dimensional subspace, which can provide important insights into the structure and behavior of the system being studied.
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