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MTH501 Final Term Solved MCQs Set 4

Linear Algebra PDF 1.4 MBUpdated 23 Oct 2026
Final term past paper MTH501 Final Term Solved MCQs Set 4 PDF 1.4 MB
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Final term past paper
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MTH501 Linear Algebra
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PDF 1.4 MB
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23 Oct 2026
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Q1. Which statement about the General Least Square Method is true?

  •  Solution obtained by this method is always Unique.
  •  This is a numerical method for the solution of system of Linear Equations.
  •  This method find an X that make Ax as close possible to the b.
  •  This method gives us exact solution of the System.

2. Let v = (1, -2, 2, 0). The unit vector in the same

, , , 0

  •  1 2 2 , 0 1 2 2 1
  1. Let u = (3, -2), v= (4, 5). For the weighted Euclidean inner product (u, v) = 4u1v1 + 5 u2v2 (v, u) = 2
  •  -2

3

  •  -3
  •  Attractor

8. Suppose that A =

0.5

0.6 has eigenvalues 0.8 and

-0.3 1.4 

1.1. then 0rigin is a

  •  Repellor
  •  Attractor
  1. if A is an m x n matrix with linearly independent column vector, then A can be factored as

A= QR

Where Q is an m X n matrix orthonormal column vector ,and R is an n x m.

  •  Upper triangular matrix
  •  Invertible matrix
  •  Invertible lower triangular matrix
  •  invertible Upper triangular matrix
  1. The matrix equation AT A x^ = AT b represent a system of liner equation Commonly referred to as the
  •  Normal equation for x
  •  Normal equation for X^
  •  Normal equation for A
  •  Normal equation for b
  1. By the best Approximation theorem , the distance from y to W is ||y – Y^|| , where Y^=
  •  Projw Y^
  •  Projwy  is
  •  projy W
  1. ||u + v + w|| ||u|| + ||v|| +||w|| for all vectors u, v and w in an inner product space.
  •  True
  •  False

13. The dominate for the matrix A =

  •   =1 0 0 0  1 0 0 -3 0  0
  •   = -1
  •   = 0
  1. A square matrix A I invertible if and only if and only is X = 0 is not an Eigen Value of A
  •  True
  •  False
  1. A square matrix with orthogonal columns ----------- -------matrix.
  •  Is an orthogonal
  •  May be an orthogonal
  •  May not be an orthogonal
  •  Is not an orthogonal
  1. if two row are orthogonal , they are -------------- --.
  •  Linearly independent
  •  Linearly Dependent
  •   = -3
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