Exam Details
Subject | Linear Algebra | |
Paper | ||
Exam / Course | Master's in Mathematics with Applications in Computer Science | |
Department | School of Sciences (SOS) | |
Organization | indira gandhi national open university | |
Position | ||
Exam Date | December, 2015 | |
City, State | new delhi, |
Question Paper
Let V be the vector space of polynomials of degree at most 2 with real coefficients. Let
T R^3 be a linear transformation defined by
Find the matrix of T relative to the basis of V and the standard basis of R^3.
Find the quadratic polynomial which best fits the points and 3
Find the Jordan form ofA, where A is
1 0
2 1 1 0
0 1 2 1
0 2
You are given that is a characteristic polynomial of A.
Consider the predator-prey system given by
[xk [0.6 0.5 [xk
-0·16 1·2] Yk]
What is the long term behaviour of [xk
yk]
3. Find the singular value decomposition for the matrix A is
1
0 1
Solve the system of differential equations
with
where A is
4
Check whether the matrix
0 24
4 1 16
0
is diagonalisable.
5. Which of the following statements are true and which are false? Justify your answer.
For any normal operator
ker T ker T*.
A matrix has a unique generalized inverse.
Up to similarity, there is a unique matrix with characteristic polynomial and minimal polynomial
If A is an n x n matrix, then
=e^det
Product of two unitary matrices need not be unitary.
T R^3 be a linear transformation defined by
Find the matrix of T relative to the basis of V and the standard basis of R^3.
Find the quadratic polynomial which best fits the points and 3
Find the Jordan form ofA, where A is
1 0
2 1 1 0
0 1 2 1
0 2
You are given that is a characteristic polynomial of A.
Consider the predator-prey system given by
[xk [0.6 0.5 [xk
-0·16 1·2] Yk]
What is the long term behaviour of [xk
yk]
3. Find the singular value decomposition for the matrix A is
1
0 1
Solve the system of differential equations
with
where A is
4
Check whether the matrix
0 24
4 1 16
0
is diagonalisable.
5. Which of the following statements are true and which are false? Justify your answer.
For any normal operator
ker T ker T*.
A matrix has a unique generalized inverse.
Up to similarity, there is a unique matrix with characteristic polynomial and minimal polynomial
If A is an n x n matrix, then
=e^det
Product of two unitary matrices need not be unitary.
Other Question Papers
Departments
- Centre for Corporate Education, Training & Consultancy (CCETC)
- Centre for Corporate Education, Training & Consultancy (CCETC)
- National Centre for Disability Studies (NCDS)
- School of Agriculture (SOA)
- School of Computer and Information Sciences (SOCIS)
- School of Continuing Education (SOCE)
- School of Education (SOE)
- School of Engineering & Technology (SOET)
- School of Extension and Development Studies (SOEDS)
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- School of Gender Development Studies(SOGDS)
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- School of Humanities (SOH)
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- School of Journalism and New Media Studies (SOJNMS)
- School of Law (SOL)
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- School of Performing Arts and Visual Arts(SOPVA)
- School of Sciences (SOS)
- School of Social Sciences (SOSS)
- School of Social Work (SOSW)
- School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
- School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
- School of Translation Studies and Training (SOTST)
- School of Vocational Education and Training (SOVET)
- Staff Training & Research in Distance Education (STRIDE)
Subjects
- Algebra
- Coding Theory
- Complex Analysis
- Computer Graphics
- Cryptography
- Design and Analysis of Algorithms
- Differential Equations And Numerical Solutions
- Functional Analysis
- Graph Theory
- Linear Algebra
- Mathematical Modelling
- Pattern Recognition and Image Processing
- Probability And Statistics
- Programming and Data Structures
- Real Analysis
- Soft Computing and its Applications