MMT-002 · IGNOU MSc MACS Semester 1 · 2 credits
Linear Algebra
Jordan canonical form and applications of unitary matrices.
MMT-002 important topics
The eGyanKosh units IGNOU has examined most, from 7 past papers. Matched automatically from question wording.
- Block 2, Unit 6: Matrix Decompositions ↗Asked almost every time: in 6 of 7 papers
- Block 2, Unit 5: Positive Definiteness ↗Asked almost every time: in 5 of 7 papers
- Block 1, Unit 2: Jordan Form ↗Asked often: in 4 of 7 papers
- Block 1, Unit 3: Applications of the Jordan Form ↗Asked sometimes: in 2 of 7 papers
- Block 1, Unit 1: Similarity ↗Asked sometimes: in 2 of 7 papers
- Block 2, Unit 4: Unitary Similarity ↗Asked sometimes: in 1 of 7 papers
MMT-002 assignment
The latest MMT-002 assignment is valid for the January 2026 & July 2026 sessions. It carries 100 marks and 30% of your final grade. Due 31 Mar 2026 for the January 2026 session or 30 Sept 2026 for the July 2026 session.
MMT-002 previous-year question papers
Official term-end exam papers for Linear Algebra, published by IGNOU. Each one opens on IGNOU’s website.
- June 2024MMT-002 term-end exam, official PDF
- December 2023MMT-002 term-end exam, official PDF
- June 2023MMT-002 term-end exam, official PDF
- December 2022MMT-002 term-end exam, official PDF
- June 2022MMT-002 term-end exam, official PDF
- June 2021MMT-002 term-end exam, official PDF
- December 2020MMT-002 term-end exam, official PDF
Important Linear Algebra questions
The text is taken from IGNOU’s official papers, so open the paper for figures and exact wording.
Prove that if N is a non-zero nilpotent operator, then N is not diagonlizable.
Find the QR decomposition of
Let Ma nd A be a metro city and a nearby small town, respectively. Each year 20% of A’s population moves to M and 5% of M’s population moves to A. What is the long-term effect of this on the populations of M and A? Are they likely to stabilise? Why or why not?
Which of the following statements are true? Give reasons for your answers: (i) The sum of two diagonalisable matrices is a diagonalisable matrix. (ii) The only diagonalisable nilpotent matrix is the zero matrix. (iii) There is no unitary matrix having one of its entries 2. (iv) If A is an n × n matrix such that det (A) > 0, then A is a positive definite matrix. (v) If A () n∈ MC has an eigen value with algebraic multiplicity greater than one, then A cannot be normal.
The sum of two diagonalisable linear operators on a finite-dimensional vector space is diagonalisable.
Each entry of a positive definite matrix is non-negative.
Any two distinct eigenvectors of a matrix will be linearly independent.
There is no normal matrix having one of the entries as 2.
If A is positive definite, then A –1 is positive definite.
Every upper triangular matrix is diagonalisable.
Linear Algebra study material
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