Diagonalization of Matrix – Engineering Maths for GATE, ESE, AE/JE | Priyanka Ma’am

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.


Basic Concept

A square matrix A is said to be diagonalizable if it can be written as:

A = P D P−1

Where:


Condition for Diagonalization


Steps to Diagonalize a Matrix

  1. Find eigenvalues of matrix A
  2. Find corresponding eigenvectors
  3. Form matrix P using eigenvectors as columns
  4. Form diagonal matrix D using eigenvalues
  5. Verify: A = P D P−1

Diagonal Matrix Form

If eigenvalues are λ₁, λ₂, then:

λ₁0
0λ₂

Important Properties


Solved Examples

Example 1

Diagonalize:

20
03

Eigenvalues = 2, 3
Matrix is already diagonal

D = same matrix, P = Identity


Example 2

Diagonalize:

41
23

Eigenvalues = 5, 2

Eigenvectors:

P =

11
1-2

D =

50
02

Thus: A = P D P−1


Example 3

If A is diagonalizable and eigenvalues are 2, 3 → find A³

A³ = P D³ P−1

D³ =

80
027

Shortcut Tricks


Questions

Q1. When is matrix diagonalizable?

Answer: When it has n independent eigenvectors

Q2. Use of diagonalization?

Answer: Finding powers of matrix


Exam Tips


🚀 Join Comprehensive Course

📢 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!