1
GATE EE 2012
MCQ (Single Correct Answer)
+1
-0.3
Given that $$A = \left[ {\matrix{
{ - 5} & { - 3} \cr
2 & 0 \cr
} } \right]$$ and $${\rm I} = \left[ {\matrix{
1 & 0 \cr
0 & 1 \cr
} } \right],$$ the value of $${A^3}$$ is
2
GATE EE 2010
MCQ (Single Correct Answer)
+1
-0.3
An eigen vector of $$p = \left[ {\matrix{
1 & 1 & 0 \cr
0 & 2 & 2 \cr
0 & 0 & 3 \cr
} } \right]$$ is
3
GATE EE 2009
MCQ (Single Correct Answer)
+1
-0.3
The trace and determinant of a $$2 \times 2$$ matrix are shown to be $$-2$$ and $$-35$$ respectively. Its eigen values are
4
GATE EE 2008
MCQ (Single Correct Answer)
+1
-0.3
The characteristic equation of a $$3\,\, \times \,\,3$$ matrix $$P$$ is defined as
$$\alpha \left( \lambda \right) = \left| {\lambda {\rm I} - P} \right| = {\lambda ^3} + 2\lambda + {\lambda ^2} + 1 = 0.$$
If $${\rm I}$$ denotes identity matrix then the inverse of $$P$$ will be
$$\alpha \left( \lambda \right) = \left| {\lambda {\rm I} - P} \right| = {\lambda ^3} + 2\lambda + {\lambda ^2} + 1 = 0.$$
If $${\rm I}$$ denotes identity matrix then the inverse of $$P$$ will be
GATE EE Subjects
Browse all chapters by subject
Digital Electronics
Control Systems
Power System Analysis
Analog Electronics
Electric Circuits
Electrical and Electronics Measurement
Power Electronics
Electromagnetic Fields
Signals and Systems
Electrical Machines
Engineering Mathematics
General Aptitude