18AI56-MML

The concept of Eigen values and vectors is applicable to?

• Scalar matrix

• Identity matrix

• Upper triangular matrix

• Square matrix

Singular Value Decomposition is some sort of generalisation of __________ decomposition.

• Singular

• Eigen vector

• Eigen value

• None Of the above

Let V be a vector space and W be a subspace of V then

• All of these

The Eigen values of the matrix [1 0 0, 0 2 0, 0 0 3] is

• 1,2,3

• 0,1,2

• 1,-1,2

• -1,-2,-3

Find d(u,v) between the vectors u=(2,6,5) and v=(2,3,9)

• 7

• 5

• 0

• 4

The unit eigen vector of (1,-2,5) is

• (1,-2,5)

• orthonormal set

• orthogonal set

• orthogonal compliment

• none of these

The eigen values of the matrix (1 2 0, 2 1 0, 2 -3 1) are

• (1,1,1)

• (1,2,-3)

• (1,3,-1)

• (1,0,1)