Question # 1

if A = A , then A is

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Symmetric matrix

Skew symmetric matrix

Identity matrix

Orthogonal matrix

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

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Skew symmetric

Non skew symmetric

Symmetric

Non symmetric

The set which contains all the element of the two given sets A and B, avoiding duplication, is called.

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Intersection of A and B

Union of A and B

Set A and B

None of these

a x2 + bx + c = 0

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Linear equation

Quadratic equation

Polynomial of degree five

None of these

If every element of a raw of column of a square matrix A is zero, then the value of the determinant. is.

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Equal

One

zero

Not equal

A square matrix A, such that A = A ' is called a

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Symmetric matrix

Skew symmetric matrix

Singular matrix

Rank of a matrix

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

The function y = 2x + 1 and x = 1/2 y - 1/2 are said to be.

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Non linear functions

Inverse functions

Step functions

All the above

Union of A with B is same as union of B with A, that is AUB = BUA is termed as

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Associative law of union

Cumulative law of union

Reflective law

All the above

Which method is used for finding inverse of a matrix.

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Gauss elimination method

Henrich standard method

Co factor method

Both a and c

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 set containing all the elements of the universal set except those of set A is called.

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Complement of set A

Complement of universal set

Union of A and universals set

Universal set itself

If each element of a raw or column is a sum of two elements, the determinant can be expressed as the

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Sun of two determinants

Difference of two determinants

Multiplication of two determinants

Division of two determinants

The determinant of a matrix and that of its transpose are

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Equal

Zero

One

Negatively related

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

any number raise to the power zero is always equal to.

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zero

one

two

The number itself

If every element of a set B is also an elements of A then

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A is a subset of B

B is a subset of A

A is not a subset of B

B is not a subset of A

If B is a subset of A ,then A is a

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Super set of B

Sub set of B

Empty set of B

Universal set of B

Th transpose of the cofactor matrix is called.

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Adjoin of the matrix

Power of a matrix

Minor of the matrix

Rank of a matrix

If the determinant formed by the elements of the matrix is not equal to zero, then the matrix is called.

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Skew symmetric

Symmetric

Singular

Non -singular

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