1 |
Which method is used for finding inverse of a matrix. |
Gauss elimination method
Henrich standard method
Co factor method
Both a and c
|
2 |
The sufficient condition required for the matrix to posses inverse is that the matrix should be. |
square matrix
Singular matrix
Non singular matrix
Orthogonal matrix
|
3 |
A inverse is defined only if A is a |
Square matrix
Column vector
Orthogonal matrix
Skew symmetric matrix
|
4 |
The matrix A multiplies by its inverse will b e a. |
Identity matrix
Skew symmetric matrix
Idempotent matrix
Adjoin of a matrix
|
5 |
If the determinant formed by the elements of the matrix is not equal to zero, then the matrix is called. |
Skew symmetric
Symmetric
Singular
Non -singular
|
6 |
If the determinant formed by the elements of the matrix A is equal to zero, then the matrix is. |
Skew symmetric
Singular
Symmetric
Non singular
|
7 |
A square matrix A, such that A = A ' is called a |
Symmetric matrix
Skew symmetric matrix
Singular matrix
Rank of a matrix
|
8 |
If the columns of a given matrix A and B are changed into rows and vice versa, the matrix thus obtained is called the. |
Symmetric matrix
Transpose of a matrix
Singular matrix
Rank of matrix
|
9 |
A square matrix with 1's in its principal diagonal and zeros every where else is. |
Diagonal matrix
Identity matrix
Leading diagonal
Scalar matrix
|
10 |
If all the elements of a matrix of any order are zero, it is called. |
Identity matrix
Null matrix
Zero matrix
Both b and c
|
11 |
In a matrix , if there is only one row but any number of columns, it is called. |
Row matrix
Column matrix
Raw vector
Both a and c
|
12 |
if in a matrix , the number if rows is the same as the number of columns, it is called. |
Singular matrix
Non singular matrix
Square matrix
Column vector
|
13 |
(A+B) = (B+A) this law of matrices is known as. |
Cumulative law
Associative law
Distributive law
Identity law
|
14 |
(A+B) + C =a +(B+C) This law of matrices is known as. |
Cumulative law
Associative law
Distributive law
Identity law
|
15 |
The slope of a horizontal line is. |
One
Zero
Three
two
|
16 |
An equation in which all variables are raised to the first power is known as. |
Linear equation
Non linear equation
Quadratic equation
Polynomial of degree two
|
17 |
A mathematical statement setting two algebraic expressions equal to each other is called. |
Equations
Hypothesis
Inequality
All of above
|
18 |
The determinant of quadratic form is called. |
Jacobian determinant
Hessian determinant
Discriminant
None of these
|
19 |
A negative definite Hessian fulfills the second order conditions for. |
Maximum
Minimum
both maximum and minimum
Mini max
|
20 |
A positive definite Hessian fulfills the second order conditions for |
Maximum
Minimum
Both maximum and minimum
Mini max
|
21 |
A determinant compose of all the second order partial derivatives, with the second order direct partials on the principal diagonal and the second order cross partials off the principal diagonal and which is used to second order condition of optimization is called. |
Jacobian determinant
Hessian determinant
Discriminant
None of these
|
22 |
A determinant composed of all the first order partial derivatives of a system of equations, arranged in ordered sequence is called. |
Hassian determinatn
Jacobian determiant
Discrimianant
First order determinant
|
23 |
If a consumer's budget constraint is given as P, X,+ Py Y = B thent he absolute slope of the budget line is. |
B
x/y
P/Py
None of these
|
24 |
a possible use in encomia's for the circle or the ellipse is to model. |
Production possibility curve
Demand cuve
Isocost liine
Supply curve
|
25 |
A possible use in economies for the circle of the ellipse is to model. |
Production possibility curve
Demand curve
Iosco line
Supply curve
|
26 |
The simplest form of rectangular hyperbola is |
y = 1/x
y = x2
y = x-2
y = x3
|
27 |
A polynomial equation with degree two a called. |
Linear equation
Quadratic equation
Parabola equation
All of the above
|
28 |
a x2 + bx + c = 0 |
Linear equation
Quadratic equation
Polynomial of degree five
None of these
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29 |
The equilibrium price and quantity , given the inverse demand and supply functions. po = 3q +30 and p s = 2q -5 |
p = 9 and q = 7
p = 10 and q = 7
p = 9 and q = 8
p = 7 and q = 9
|
30 |
Given the demand function qo = -8p +2000 and tis inverse p = -1/8 qo + 250 ,p in the inverse function which is interpreted as the maximum price that buyers are willing to pay for the. |
Supply price
Demand price
Equilibrium price
Reserved price
|