Symplectic eigenvalues are specific values associated with a linear symplectic transformation that characterize how the transformation affects the symplectic structure of a vector space. They arise from the study of symplectic matrices, where the eigenvalues provide insights into the geometric properties of the transformations and their behaviors under symplectic bases and normal forms. Understanding these eigenvalues helps in classifying symplectic forms and in analyzing the stability of dynamical systems.
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