Diagonalization of Matrix — Study Resources & PYQs
Diagonalization of matrices using eigen values and eigen vectors.
- Estimated study time: 30 minutes
Study resources
- Eigenvalues & Eigenvectors (NPTEL) (Article) — Full IIT course on rank, eigenvalues/eigenvectors, similarity transformations, diagonalisation and Jordan form. Deep dive for Unit II matrices.
- Diagonalization of a Matrix (Article) — Similarity transformation D = P⁻¹AP, when a matrix is diagonalizable, the modal matrix P, and worked examples.
- Diagonalization / Eigenvalues (video) (Article) — Topic list linking GP Sir's videos on eigenvalues/eigenvectors, their properties and matrix diagonalisation.
- Matrices (overview) / Inverse by Elementary Transformations (Article) — Central matrices hub linking elementary transformations, inverse, rank, eigenvalues and diagonalisation in one place.
- MIT OpenCourseWare — Multivariable Calculus (Article) — MIT multivariable-calculus materials covering partial derivatives, homogeneous-function ideas, Taylor expansions, extrema and Lagrange multipliers.
- MIT OpenCourseWare — Linear Algebra (Article) — MIT linear-algebra materials covering matrices, rank, elementary operations, eigenvalues/eigenvectors, Cayley-Hamilton-related concepts and diagonalization.
Taught in these subjects
- ENGINEERING MATHEMATICS-I — BMAT11 · Government College of Engineering and Technology, Jammu
- ENGINEERING MATHEMATICS-1 — BMAT11 · Government College of Engineering and Technology, Jammu
- ENGINEERING MATHEMATICS-I — BMAT11 · Government College of Engineering and Technology, Jammu
- Engineering Mathematics-I — BMAT11 · Government College of Engineering and Technology, Jammu
- Engineering Mathematics-I — BST1101 · Government College of Engineering and Technology, Jammu
- Engineering Mathematics-I — BST1101 · Government College of Engineering and Technology, Jammu