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Eigenvalues and Eigenvectors
★★★★☆Undergraduate
📖Definition
For matrix A, λ is an eigenvalue and v is an eigenvector if Av = λv.
📐Formulas
Av = λ v
Eigenvalue equation
det(A - λ I) = 0
Characteristic equation
✏️Examples
예제 1★★★★☆
Find the eigenvalues of A = [[2, 1], [1, 2]].
📜History
Developed from work by Euler and Lagrange, formalized by Hilbert.
⚡Applications
Physics
Quantum mechanics, vibration modes
Data Science
PCA (Principal Component Analysis)
PageRank
Google search algorithm
🔗Related Documents
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⚡Applications
#linear-algebra#eigenvalue#eigenvector#advanced