Engineering Mathematics
Linear Algebra
Marks 1Marks 2
Differential Equations
Marks 1Marks 2
Probability and Statistics
Marks 1Marks 2
Numerical Methods
Marks 1Marks 2
Vector Calculus
Marks 1Marks 2
Transform Theory
Marks 1Marks 2
Complex Variable
Marks 1Marks 2
1
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
A
$${\left[ {\matrix{ { - 1} & 1 & 1 \cr } } \right]^T}$$
B
$${\left[ {\matrix{ { 1} & 2 & 1 \cr } } \right]^T}$$
C
$${\left[ {\matrix{ { 1} & - 1 & 2 \cr } } \right]^T}$$
D
$${\left[ {\matrix{ { 2} & 1 & -1 \cr } } \right]^T}$$
2
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
A
$$-30, -5$$
B
$$-37,-1$$
C
$$-7,5$$
D
$$17.5, -2$$
3
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
A
$${P^2} + P + 2{\rm I}$$
B
$${P^2} + P + {\rm I}$$
C
$$ - \left( {{P^2} + P + {\rm I}} \right)$$
D
$$ - \left( {{P^2} + P + 2{\rm I}} \right)$$
4
GATE EE 2008
MCQ (Single Correct Answer)
+1
-0.3
$$A$$ is $$m$$ $$x$$ $$n$$ full rank matrix with $$m > n$$ and $${\rm I}$$ is an identity matrix. Let matrix $${A^ + } = {\left( {{A^T}A} \right)^{ - 1}}{A^T}.$$ Then which one of the following statement is false?
A
$$A{A^ + }A = A$$
B
$${\left( {A{A^ + }} \right)^2} = A{A^ + }$$
C
$${A^ + }A = {\rm I}$$
D
$$A{A^ + }A = {A^ + }$$
GATE EE Subjects
Electromagnetic Fields
Signals and Systems
Engineering Mathematics
General Aptitude
Power Electronics
Power System Analysis
Analog Electronics
Control Systems
Digital Electronics
Electrical Machines
Electric Circuits
Electrical and Electronics Measurement