Linear Algebra (LA) BS/MS Software Engineering/PhD Software Engineering 3 Semester/Term University Of Sargodha (UOS) 2021
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Paper text
University of Sargodha
Subject: Software Engineering
BS 3rd Semester/Term Exam 2021
217°3
Time Allowed: 02:30 Hours
Paper: Linear Algebra (MATH-201)
Maximum Marks: 80
Note: Objective part is compulsory. Attempt any three questions from subjective part.
Objective Part
(Compulsory)
Q.1. Write short answers of the following in 2-3 lines each on your answer sheet.
i.
Define Null space.
(16°2)
ii.
If A is symmetric then show that (A-1) = (AT)
State Calay's Hamilton theorem.
or what value of K the vectors (1, - 2, K) in R be a linear combination of vectors (3,0, -2) and
coordinate vector relative to bases 5 is (-1,3,2).
xi.
xii.
xili.
XIV.
XV.
xvi.
= e2x are linearly independent
If A is invertible matrix and n is nonnegatiye integer, then show that (4) = (A-4)".
Show that matrix P is orthogonal if and only if PT is orthogonal.
Define characteristic equation.
Show that matrix A =1
3 -4]
2] is zero of g(x) = x2 + 3x -
10.
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Consider the vector u = (1, -5,3) and find ||u|lo, |lulls. ||u||2-
Show that set of all symmetric matrices is subspace of vector space of all n x n matrices.
IrA = la 6]. &42 = Lo i finda &b.
If B and Care both inverses of the matrix A, then B = C.
Write the basis and dimension of vector space V of all Maxmatrices.
Normalize the vector v = (1,2,4,5).
Subjective Part
(3*16)
1 0 0
2
7 0
0.2.
6
(a) Compute the determinant of
0 6 3
7 3 1 -5
(b) Show that the set (1,i) in C is linearly independent over R but linearly dependent over C.
Q.3.
(a) Determine whether the vector v = (3,3, -
4) is a linear combination of
(1,2,3), y = (2,3,7), z = (3,5,6).
(b) Apply the Gram Schmidt process to transform the basis vectors u, = (1,1,1), uz = (0,1,1) and
Uz = (0,0,1) into an orthogonal basis and then normalize the orthogonal basis vectors to obtain ar
orthonormal basis.
Q.4.
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(a) Solve the gystem by Gauss elimination method
3x1 + x2-x3 = -4
x_+ X2 - 2x3 = -4
-*+2x-071
(b) Determine whether the vectors in R* ate linear independent or linear dependent
(1,3, - 1, -4), (3,8, -5,7), (2,9,4.23)
0.5.
(a) Consider the set V = Re with landed adition and seir multiplication def goin ,020
for any veR, rER, where F = R. Check whether the set over F form a Vestor space or not?
(b) Find Eigen values and bases for Eigen spaces of A = [-2
Q.6.
(a) Find the inverse of matrix A
=
1
1
2
(b)
0
Show that the matrix
0
0
0
0
-
1
2
1
cannot be diagonalized.
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