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If A is a non–singular matrix and the eigen values of A are 2 , 3 , 3 then the eigen values of A^{1} are:
If 1, 2, 3 are the eigen values of a square matrix A then the eigen values of A^{2} are:
If 2,  4 are the eigen values of a non–singular matrix A and A = 4, then the eigen values of adjA are:
If 2 and 4 are the eigen values of A then the eigenvalues of A^{T} are
If 1 and 3 are the eigenvalues of a square matrix A then A^{3} is equal to:
If A is a square matrix of order 3 and A = 2 then A (adj A) is equal to:
If 1, 2 and 5 are the eigen values of the matrix A then A is equal to:
If the product of matrices
is a null matrix, then θ and Ø differ by:
If A and B are two matrices such that A + B and AB are both defined, then A and B are:
If A is a 3rowed square matrix such that A = 2, then then adj(adj(adjA)) is?
A set of linear equations is represented by the matrix equation Ax = b. The necessary condition for the existence of a solution for this system is:
Consider a 3 × 3 matrix A whose (i, j)th element, a_{i,j} = (i − j)^{3}. Then the matrix A will be
For a skew symmetric even ordered matrix A of integers, which of the following will not hold true:
65 videos120 docs94 tests

Representations of Matrices and Graphs in Relations Doc  2 pages 
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65 videos120 docs94 tests

Representations of Matrices and Graphs in Relations Doc  2 pages 
Vector Space : Properties of Vector Space  Linear Algebra Video  15:34 min 
Matrix Diagonalization Doc  2 pages 
Subspace Theorems & Examples  Linear Algebra Video  21:26 min 
Vector Space Doc  5 pages 