λEigenvalue Calculator (2×2 Matrix)
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Eigenvalues and eigenvectors are fundamental concepts in linear algebra. For a square matrix A, an eigenvector v is a non-zero vector that only scales (not rotates) when A is applied: Av = λv. The scalar λ is the corresponding eigenvalue. Eigenvalues reveal the fundamental behaviour of linear transformations and appear throughout physics, engineering, statistics (PCA), and machine learning.
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