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In the context of linear algebra, λ (lambda) represents an eigenvalue, which is a scalar associated with a linear transformation or matrix. Eigenvalues are crucial in determining the behavior of systems modeled by matrices, as they reveal information about stability, oscillation frequencies, and other dynamic properties. The relationship between eigenvalues and their corresponding eigenvectors is fundamental in solving differential equations and analyzing systems.
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