Eigenspaces are special vector spaces associated with a linear transformation represented by a matrix, where each eigenspace corresponds to a specific eigenvalue. They consist of all eigenvectors associated with that eigenvalue, along with the zero vector, and they reveal important properties about the transformation, including its behavior and structure. Understanding eigenspaces is crucial for solving systems of linear equations and studying the dynamics of systems in various fields.
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