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
Let A be n × n real valued square symmetric matrix of rank 2 with i=1∑nj=1∑nAij2=50. 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?
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?
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) = ?
Let c1 ..... cn be scalars, not all zero, such that i=1∑nciai=0 where ai are column vectors in Rn. Consider the set of linear equations Ax = b where A = [a1 ..... an] and b=i=1∑nai. The set of equations has
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
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?
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
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
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
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|?