🔢Eigenvalue Calculator (2×2 Matrix)
An eigenvalue λ satisfies Av = λv for some non-zero eigenvector v. Eigenvalues reveal the characteristic stretching/compressing directions of a linear transformation.
- 1Solve det(A − λI) = 0 (characteristic equation)
- 2For 2×2: λ² − trace(A)λ + det(A) = 0
- 3Find eigenvectors by solving (A − λI)v = 0
Matrix [[3,1],[1,3]]=λ = 4 and λ = 2Characteristic eq: λ²−6λ+8=0 → (λ−4)(λ−2)=0
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Fun Fact
Google PageRank computes the dominant eigenvector of the massive web link matrix — representing the stationary distribution of a random web surfer.
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