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📈 Power Iteration: Finding Eigenvectors (2D)

Watch power iteration converge to a matrix's dominant eigenvector. Repeatedly apply a 2x2 matrix to a vector, renormalize, and see the direction settle while the Rayleigh-quotient eigenvalue estimate sharpens with each step.

Mathematics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

⚙ Under the hood

Watch a vector converge onto a matrix's dominant eigenvector through repeated power iteration. Apply a 2x2 matrix, renormalize, and see the Rayleigh-quotient eigenvalue estimate sharpen with every step, with a fading trail showing the path of convergence.

linear-algebraeigenvectorpower-iterationmatrixnumerical-methodsconvergence

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install