Question # 1

if A = A , then A is

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Symmetric matrix

Skew symmetric matrix

Identity matrix

Orthogonal matrix

Relation between two numbers or variables are called.

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Function

Binary relation

Inverse relation

None of the above

If any equation involving two variables, such as y -=2x + 1, the variable that appears on the right hand side of the equation is by convention called.

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Dependent variable

independent variable

Endogenous variable

Explained variable

A positive definite Hessian fulfills the second order conditions for

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Maximum

Minimum

Both maximum and minimum

Mini max

If A and B are symmetric matrices, then A +B is

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Symmetric

Non symmetric

Skew symmetric

Non skew symmetric

If a consumer's budget constraint is given as P, X,+ Py Y = B thent he absolute slope of the budget line is.

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B

x/y

P/Py

None of these

For any square matrix A of order 'n' a +A is.

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Skew symmetric

Non skew symmetric

Symmetric

Non symmetric

if we are told that the two statements y = 3x2 and y = x + 10' are bout true at the same time , they are called.

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Implicit functions

explicit functions

Simultaneous equations

Quadratic equations

If A and B are symmetric matrix, then AB- BA is.

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Symmetric

Skew symmetric matrix

Idempotent matrix

Orthogonal matrix

(A+B) + C =a +(B+C) This law of matrices is known as.

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Cumulative law

Associative law

Distributive law

Identity law

If a Set C contain all the elements which are present in both the set A and B then set C is called.

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Union of A and B

Intersection of A and B

Complement of A

Complement of B

Ordered Pairs of two sets are called.

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Elements

Function

Cartesian product

None of the above

The equilibrium price and quantity , given the inverse demand and supply functions.

po = 3q +30 and p s = 2q -5

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p = 9 and q = 7

p = 10 and q = 7

p = 9 and q = 8

p = 7 and q = 9

The matrix A multiplies by its inverse will b e a.

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Identity matrix

Skew symmetric matrix

Idempotent matrix

Adjoin of a matrix

AB = BA = 1 , then B is said to

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Ad joint of matrix of A

Inverse matrix of A

Determinant of A

Cofactor of a

A square matrix with 1's in its principal diagonal and zeros every where else is.

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Diagonal matrix

Identity matrix

Leading diagonal

Scalar matrix

A square matrix a such that A2 = a is called.

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Orthogonal matrix

Skew symmetric matrix

Idempotent matrix

Singular matrix

A diagonal matrix whose diagonal elements are equal is called.

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Unit matrix

Singular matrix

Scalar matrix

Non singular matrix

If two sets contains the same number of distinct elements but not the same elements are called.

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Pie diagram

Venn diagrams

Histogram

Ogives

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.

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Jacobian determinant

Hessian determinant

Discriminant

None of these

A matrix with all elements zero other than all the diagonals is called.

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Diagonal matrix

Orthogonal matrix

Unit matrix

Column vector

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