The rank of the matrix {\text{M}} = \left[ {\begin{array}{*{20}{c}}
5&{10}&{10} \\
1&0&2 \\
3&6&6
\end{array}} \right] is
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One of the eigen vectors of the matrix {\text{A}} = \left[ {\begin{array}{*{20}{c}}
2&2 \\
1&3
\end{array}} \right] is
A. \left\{ {\begin{array}{*{20}{c}}
2 \\
{ - 1}
\end{array}} \right\}
B. \left\{ {\begin{array}{*{20}{c}}
2 \\
1
\end{array}} \right\}
C. \left\{ {\begin{array}{*{20}{c}}
4 \\
1
\end{array}} \right\}
D. \left\{ {\begin{array}{*{20}{c}}
1 \\
{ - 1}
\end{array}} \right\}
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The lowest Eigen value of the 2 × 2 matrix \left[ {\begin{array}{*{20}{c}}
4&2 \\
1&3
\end{array}} \right]
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Which one of the following statements is TRUE about every n × n matrix with only real eigen values?
A. If the trace of the matrix is positive and the determinant of the matrix is negative, at least one of its eigen values is negative
B. If the trace of the matrix is positive, all its eigen values are positive
C. If the determinant of the matrix is positive, all its eigen values are positive
D. If the product of the trace and determinant of the matrix is positive, all its eigen values are positive
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The equation \left[ {\begin{array}{*{20}{c}}
2&{ - 2} \\
1&{ - 1}
\end{array}} \right]\left[ {\begin{array}{*{20}{c}}
{{{\text{x}}_1}} \\
{{{\text{x}}_2}}
\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}
0 \\
0
\end{array}} \right] has
A. no solution
B. only one solution \left[ {\begin{array}{*{20}{c}}
{{{\text{x}}_1}} \\
{{{\text{x}}_2}}
\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}
0 \\
0
\end{array}} \right]
C. non-zero unique solution
D. multiple solutions
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Consider the system of simultaneous equations
x + 2y + z = 6
2x + y + 2z = 6
x + y + z = 5
This system has
A. unique solution
B. infinite number of solutions
C. no solution
D. exactly two solutions
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The system of equations
x + y + z = 6
x + 4y + 6z = 20
x + 4y + λ z = μ
has NO solution for values of λ and μ given by
A. λ = 6 , μ = 20
B. λ = 6 , μ = 20
C. λ = 6 , μ = 20
D. λ = 6 , μ = 20
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Let the eigen values of a 2 × 2 matrix A be 1, -2 with eigen vectors x1 and x2 respectively. Then the eigen values and eigen vectors of the matrix A2 - 3A + 4I would, respectively, be
A. 2, 14; x1 , x2
B. 2, 14; x1 + x2 , x1 - x2
C. 2, 0; x1 , x2
D. 2, 0; x1 + x2 , x1 - x2
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The figure shows a shape ABC and its mirror image A
1 B
1 C
1 across the horizontal axis (X-axis). The coordinate transformation matrix that maps ABC to A
1 B
1 C
1 is
A. \left[ {\begin{array}{*{20}{c}}
0&1 \\
1&0
\end{array}} \right]
B. \left[ {\begin{array}{*{20}{c}}
0&1 \\
{ - 1}&0
\end{array}} \right]
C. \left[ {\begin{array}{*{20}{c}}
{ - 1}&0 \\
0&1
\end{array}} \right]
D. \left[ {\begin{array}{*{20}{c}}
1&0 \\
0&{ - 1}
\end{array}} \right]
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If the entries in each column of a square matrix M add up to 1, then an eiqen value of M is
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The sum of Eigen values of matrix, [M] is where \left[ {\text{M}} \right] = \left[ {\begin{array}{*{20}{c}}
{215}&{650}&{795} \\
{655}&{150}&{835} \\
{485}&{355}&{550}
\end{array}} \right]
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The set of equations
x + y + z = 1
ax - ay + 3z = 5
5x - 3y + az = 6
has infinite solution if a = ?
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Consider the system of equations A(n × n) X(n × 1) = λ(n × 1) where, λ is a scalar. Let (λi , xi ) be an eigen-pair of an eigen value and its corresponding eigen vector for real matrix A. Let I be a
(n × n) unit matrix. Which one of the following statement is NOT correct?
A. For a homogeneous n × n system of linear equations, (A - λI )x = 0 having a nontrivial solution, the rank of (A - λI ) is less than n
B. For matrix Am , m being a positive integer, (λi m , xi m ) will be the eigen-pair for all i
C. If AT = A-1 , then |λi | = 1 for all i
D. If AT = A, then λi is real for all i
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The value of x for which all the eigen-values of the matrix given below are real is \left[ {\begin{array}{*{20}{c}}
{10}&{5 + {\text{j}}}&4 \\
{\text{x}}&{20}&2 \\
4&2&{ - 10}
\end{array}} \right]
A. 5 + j
B. 5 - j
C. 1 - 5j
D. 1 + 5j
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The system of linear equations \left[ {\begin{array}{*{20}{c}}
2&1&3 \\
3&0&1 \\
1&2&5
\end{array}} \right]\left[ {\begin{array}{*{20}{c}}
{\text{a}} \\
{\text{b}} \\
{\text{c}}
\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}
5 \\
{ - 4} \\
{14}
\end{array}} \right] has
A. a unique solution
B. infinitely many solutions
C. no solution
D. exactly two solutions
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The matrix {\text{P}} = \left[ {\begin{array}{*{20}{c}}
0&0&1 \\
1&0&0 \\
0&1&0
\end{array}} \right] rotates a vector about the axis \left[ {\begin{array}{*{20}{c}}
1 \\
1 \\
1
\end{array}} \right] by angle of
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If a square matrix of order 100 has exactly 15 distinct eigen values, the degree of the minimal polynomial is
A. At least 15
B. At most 15
C. Always 15
D. Exactly 100
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A matrix has eigen values -1 and -2. The corresponding eigen vectors are \left[ {\begin{array}{*{20}{c}}
1 \\
{ - 1}
\end{array}} \right] and \left[ {\begin{array}{*{20}{c}}
1 \\
{ - 2}
\end{array}} \right] respectively. The matrix is
A. \left[ {\begin{array}{*{20}{c}}
1&1 \\
{ - 1}&{ - 2}
\end{array}} \right]
B. \left[ {\begin{array}{*{20}{c}}
1&2 \\
{ - 2}&{ - 4}
\end{array}} \right]
C. \left[ {\begin{array}{*{20}{c}}
{ - 1}&0 \\
0&{ - 2}
\end{array}} \right]
D. \left[ {\begin{array}{*{20}{c}}
0&1 \\
{ - 2}&{ - 3}
\end{array}} \right]
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Let A, B, C, D be n × n matrices, each with nonzero determinant, If ABCD = I , then B-1 is
A. D-1 C-1 A-1
B. CDA
C. ADC
D. does not necessarily exist
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The eigen vectors of the matrix \left[ {\begin{array}{*{20}{c}}
1&2 \\
0&2
\end{array}} \right] are written in the form \left[ {\begin{array}{*{20}{c}}
1 \\
{\text{a}}
\end{array}} \right] and \left[ {\begin{array}{*{20}{c}}
1 \\
{\text{b}}
\end{array}} \right]. What is a + b = ?
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