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MTH501 Final Term Solved Paper 2008

Linear Algebra PDF 304 KBUpdated 23 Oct 2026
Final term past paper MTH501 Final Term Solved Paper 2008 PDF 304 KB
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Final term past paper
Course
MTH501 Linear Algebra
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PDF 304 KB
Updated
23 Oct 2026
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Text from pages 2, 5, 6 of 16. Download the file for all 16 pages.

Q1. Reduced echelon form of the matrix (1 marks)

is

Q2. A matrix that results from applying a single elementary row operation to an identity matrix is called (1 marks)

  1. Invertible matrix
  2. Singular matrix
  3. Scalar matrix

Correct answer: Invertible matrix

A is diagonalizable if A PDP− Where

  1. D is any matrix and P is an invertible matrix
  2. D is a diagonal matrix and P is any matrix
  3. D is a diagonal matrix and P is invertible matrix
  4. D is a invertible matrix and P is any matrix

from book

A square matrix A is said to be diagonalizable if A is similar to a diagonal matrix. i.e. if A = -1 PDP for some invertible matrix P and some diagonal matrix D.

Q8. The inverse of an invertible lower triangular matrix is (1 marks)

  1. lower triangular matrix
  2. upper triangular matrix
  3. diagonal matrix

The standard operations on triangular matrices conveniently preserve the triangular form: the sum and product of two upper triangular matrices is again upper triangular. The inverse of an upper triangular matrix is also upper triangular, and of course we can multiply an upper triangular matrix by a constant and it will still be upper triangular. This means that the upper triangular matrices form a subalgebra of the ring of square matrices for any given size. The analogous result holds for lower triangular matrices. Note, however, that the product of a lower triangular with an upper triangular matrix does not preserve triangularity.

Q9. If P is a parallelepiped in R3, then (1 marks)

{volume of T (P)} = |detA|. {volume of P}

  1. Where T is determined by a 2 2

 matrix A

  1. Where T is determined by a 2 3

 matrix A

  1. Where T is determined by a 3 3

matrix A not conf.

  1. Where T is determined by a 3 2

 matrix A

Q10. Let A be a n m (1 marks)

matrix of rank r then row space of A has dimension

  1. m

r

  1. n

r

  1. r
  2. nm

Main article: Rank (linear algebra) The dimension of the row space is called the rank of the matrix. This is the same as the maximum number of linearly independent rows that can be chosen from the matrix. For example, the 3 × 3 matrix in the example above has rank two.

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