There are no items in your cart
Add More
Add More
| Item Details | Price | ||
|---|---|---|---|
Diagonalization of a matrix is an important concept in Linear Algebra. It is widely used in simplifying matrix powers and is frequently asked in GATE, ESE, AE/JE exams.
A square matrix A is said to be diagonalizable if it can be written as:
A = P D P−1
Where:
If eigenvalues are λ₁, λ₂, then:
| λ₁ | 0 |
| 0 | λ₂ |
Diagonalize:
| 2 | 0 |
| 0 | 3 |
Eigenvalues = 2, 3
Matrix is already diagonal
D = same matrix, P = Identity
Diagonalize:
| 4 | 1 |
| 2 | 3 |
Eigenvalues = 5, 2
Eigenvectors:
P =
| 1 | 1 |
| 1 | -2 |
D =
| 5 | 0 |
| 0 | 2 |
Thus: A = P D P−1
If A is diagonalizable and eigenvalues are 2, 3 → find A³
A³ = P D³ P−1
D³ =
| 8 | 0 |
| 0 | 27 |
Q1. When is matrix diagonalizable?
Answer: When it has n independent eigenvectors
Q2. Use of diagonalization?
Answer: Finding powers of matrix
📢 GATE ESE PSU | ARJUNA Batch – Engineering Maths & General Aptitude
Prepare Engineering Mathematics & General Aptitude with Priyanka Sharma Ma’am (15+ Years Experience) at Studify+.
📚 Branches Covered:
ME | CE | EC | CS | EE | IN | MN | PE | XE | CH | PI | TF | AE | AG | GE & All
🔗 Explore Courses:
https://www.studifyplus.com/s/store
📱 Download App:
https://rb.gy/a3lwgu
📞 Contact:
WhatsApp / Call: 8200789441
✨ Build strong fundamentals and boost your GATE score!