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IGNOU MMT 2 Solved Assignment 2024
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ignou MMT 2 solved assignment 2024

ignou MMT 2 solved assignment 2024
Rs.
Rs. 50

Last Date of Submission of IGNOU MMT-02 (MSCMACS) 2024 Assignment is for January 2024 Session: 30th September, 2024 (for December 2024 Term End Exam).
Semester Wise
January 2024 Session:
30th March, 2024 (for June 2024 Term End Exam).
July 2024 Session: 30th September, 2024 (for December 2024 Term End Exam).

Title NameIGNOU MMT 2 2024 Solution
TypeSoft Copy (E-Assignment) .pdf
UniversityIGNOU
DegreeMASTER DEGREE PROGRAMMES
Course CodeMSCMACS
Course NameM.Sc. Mathematics with Applications in Computer Science
Subject CodeMMT 2
Subject NameLinear Algebra
Year2024
Session-
LanguageEnglish Medium
Assignment CodeMMT-02/Assignmentt-1//2024
Product DescriptionAssignment of MSCMACS (M.Sc. Mathematics with Applications in Computer Science) 2024. Latest MMT 02 2024 Solved Assignment Solutions
Last Date of IGNOU Assignment Submission
Last Date of Submission of IGNOU MMT-02 (MSCMACS) 2024 Assignment is for January 2024 Session: 30th September, 2024 (for December 2024 Term End Exam).
Semester Wise
January 2024 Session:
30th March, 2024 (for June 2024 Term End Exam).
July 2024 Session: 30th September, 2024 (for December 2024 Term End Exam).

Assignment CodeMMT 2/2024
Rs.
Rs. 50
Questions Included in this Help Book

Ques 1.

Which of the following statements are true and which are false? Give reasons for your answer

i) If V is a finite dimensional vector space and T:V \to V is a diagonalisable linear operator, then there is a basis, unique up to order of the elements, with respect to which the matrix of T
is diagonal.
ii) Up to similarity, there is a unique 3 \times 3 matrix with minimal polynomial (x-1)^2(x-2).
iii) If \lambda is the eigenvalue of a matrix

Ques 2.

Let T : C^2 \to C^2 : T\begin{bmatrix} x \\ y \\ z \end{bmatrix} = \begin{bmatrix} x + 2y - iz \\ 2y + iz \\ ix + z - 2z \end{bmatrix}.  FInd [T]B ,  [T]B' and P where

B = \left \{ \begin{bmatrix} 0\\ i\\ 0 \end{bmatrix}, \begin{bmatrix} i\\ 1\\ -1 \end{bmatrix} , \begin{bmatrix} 0\\ 0\\ 2 \end{bmatrix} \right \}B' = \left \{ \begin{bmatrix} 1\\ -i\\ 1 \end{bmatrix}, \begin{bmatrix} 0\\ 0\\ 1 \end{bmatrix} , \begin{bmatrix} 1\\ i\\ 0 \end{bmatrix} \right \},

[T]_{B'} = P^{-1}[T]_BP​​​​​​​

Ques 3.

If C and D are n \times n matrices such that CD = -DC and D-1 exists, then show that C is similar to -D. Hence show that the eigenvalues of C must come in plus-minus pairs.

Ques 4.

Can A be similar to A + I? Give reasons for your answer

Ques 5.

Find the Jordan canonical form J for

B = \begin{bmatrix} -1 &0 & -2 & -4 \\ 2 & 1 & 2 & 4 \\ -4 & 2 & -1 & -4\\ 2 & -1 & 1 & 3 \end{bmatrix}

Also, find a matrix P such that J = P-1BP

Ques 6.

Let M and T be a metro city and a nearby district town, respectively. Our government is trying to develop infrastructure in T so that people shift to T. Each year 15% of T’s population moves to M and 10% of M’s population moves to T. What is the long term effect of on the population of M and T? Are they likely to stabilise?

Ques 7.

Solve the following system of differential equations:

\frac{dy(t)}{dt} = Ay(t) with y(0) = \begin{bmatrix} 1\\ 1\\ 1 \end{bmatrix}, Where A = \begin{bmatrix} 2 &-5 &-11 \\ 0 &-2 &-9 \\ 0 &1 &4 \end{bmatrix}

Ques 8.

Let

A = \begin{bmatrix} 2 & 2 & 1\\ -1 & -1 & 2\\ 0 & 0 & -2 \end{bmatrix}

Find a unitary matrix U such that U^*AU is upper triangular.

Ques 9.

Use least squares method to find a quadratic polynomial that fits the following data:  (-2, 15.7), (-1, 6.7), (0, 2.7), (1, 3.7), (2, 9.7).

Ques 10.

Check which of the following matrices is positive definite and which is positive semi-definite:

A = \begin{bmatrix} 1 & 1 & 0\\ 1 & 2 & 1\\ 0 & 1 & 1 \end{bmatrix}, B \begin{bmatrix} 2 & 0 & 1\\ 0 & 2 & -1\\ 1 & -1 & 3 \end{bmatrix}

Also, find the square root of the positive definite matrix.

Ques 11.

Find the QR decomposition of the matrix

\begin{bmatrix} 2 & -2 & 1\\ 2 & 2 & 1\\ 0& 1& 1\\ 1 & 0 & 1 \end{bmatrix}

Ques 12.

Find the SVD of the following matrices:

i). \begin{bmatrix} -1 & 1 & 1\\ 1 & 1 & 0\\ \end{bmatrix}

ii). \begin{bmatrix} -1 & 1 \\ 1 & 1 \\ 1 & 2 \end{bmatrix}

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Rs. 50

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