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Engineering Maths · all questions

Linear Algebra
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Fora given matrix {\text{A}} = \left[ {\begin{array}{*{20}{c}} 2&{ - 2}&3 \\ { - 2}&{ - 1}&6 \\ 1&2&0 \end{array}} \right],     one of the eigen values is 3. The other two eigen values are

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Let A be n × n real valued square symmetric matrix of rank 2 with    Consider the following statements.
I. One eigen value must be in [-5, 5]
II. The eigen value with the largest magnitude must be strictly greater than 5.
Which of the above statements about eigen values of A is/are necessarily CORRECT?

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Real matrices [A]3×1, [B]3×3, [C]3×5, [D]5×3, [E]5×5 and [F]5×1 are given. Matrices [B] and [E] are symmetric.
Following statements are made with respect to these matrices.
1. Matrix product [F]T[C]T[B] [C] [F] is a scalar.
2. Matrix product [D]T[F] [D] is always symmetric.
With reference to above statements, which of the following applies?

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Let the Eigen vector of the matrix \left[ {\begin{array}{*{20}{c}} 1&2 \\ 0&2 \end{array}} \right]  be 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 the value of (a + b) = ?

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Which one of the following matrices is singular?

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Let c1 ..... cn be scalars, not all zero, such that   where ai are column vectors in Rn. Consider the set of linear equations Ax = b where A = [a1 ..... an] and   The set of equations has

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Two matrices A and B are given below:
{\text{A}} = \left[ {\begin{array}{*{20}{c}} {\text{p}}&{\text{q}} \\ {\text{r}}&{\text{s}} \end{array}} \right]{\text{;}}\,{\text{B}} = \left[ {\begin{array}{*{20}{c}} {{{\text{p}}^2} + {{\text{q}}^2}}&{{\text{pr}} + {\text{qs}}} \\ {{\text{pr}} + {\text{qs}}}&{{{\text{r}}^2} + {{\text{s}}^2}} \end{array}} \right]
If the rank of matrix A is N, then the rank of matrix B is

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Consider the matrix {\text{P}} = \left[ {\begin{array}{*{20}{c}} {\frac{1}{{\sqrt 2 }}}&0&{\frac{1}{{\sqrt 2 }}} \\ 0&1&0 \\ {\frac{{ - 1}}{{\sqrt 2 }}}&0&{\frac{1}{{\sqrt 2 }}} \end{array}} \right]
Which one of the following statements about P is INCORRECT?

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The eigen values and the corresponding eigen vectors of a 2 × 2 matrix are given by
\begin{array}{*{20}{c}} {{\text{Eigen value}}}&{{\text{Eigen vector}}} \\ {{\lambda _1} = 8}&{{{\text{v}}_1} = \left[ {\begin{array}{*{20}{c}} 1 \\ 1 \end{array}} \right]} \\ {{\lambda _2} = 4}&{{{\text{v}}_2} = \left[ {\begin{array}{*{20}{c}} 1 \\ { - 1} \end{array}} \right]} \end{array}
The matrix is

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A scalar valued function is defined as f(X) = XTAX + bTX + c, where A is a symmetric positive definite matrix with dimension n × n; b and x are vectors of dimension n × 1. The minimum value of f(X) will occur when X equals

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The minimum eigen value of the following matrix is
\left[ {\begin{array}{*{20}{c}} 3&5&2 \\ 5&{12}&7 \\ 2&7&5 \end{array}} \right]

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With reference to the conventional Cartesian (x, y) coordinate system, the vertices of a triangle have the following coordinates; (x1, y1) = (1, 0); (x2, y2) = (2, 2); (x3, y3) = (4, 3). The area of the triangle is equal to

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If a square matrix A is real and symmetric, then the eigen values

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An eigen vector of {\text{P}} = \left[ {\begin{array}{*{20}{c}} 1&1&0 \\ 0&2&2 \\ 0&0&3 \end{array}} \right]   is

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Given the matrix \left[ {\begin{array}{*{20}{c}} { - 4}&2 \\ 4&3 \end{array}} \right],   the eigen vector is

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At least one eigen value of a singular matrix is

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Eigen values of a real symmetric matrix are always

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The eigen values of a skew-symmetric matrix are

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Which one of the following does NOT equal \left| {\begin{array}{*{20}{c}} 1&{\text{x}}&{{{\text{x}}^2}} \\ 1&{\text{y}}&{{{\text{y}}^2}} \\ 1&{\text{z}}&{{{\text{z}}^2}} \end{array}} \right|?

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The inverse of the 2 × 2 matrix \left[ {\begin{array}{*{20}{c}} 1&2 \\ 5&7 \end{array}} \right]  is

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