Home
Class 12
MATHS
In which of the following type of matrix...

In which of the following type of matrix inverse does not exist always? a. idempotent                 b. orthogonal c. involuntary                 d. none of these

Text Solution

AI Generated Solution

Doubtnut Promotions Banner Mobile Dark
|

Similar Questions

Explore conceptually related problems

In which of the following type of matrix there always exists an inverse? (a) Idempotent matrix (c) Involutary matrix (b) Orthogonal matrix (d) None of these

If AB=A and BA=B, then which of the following is/are true? A is idempotent b.B is is idempotent c.A^(T) is idempotent d.none of these

Knowledge Check

  • Which of the following is an orthogonal matrix ?

    A
    `[(6//7,2//7,-3//7),(2//7,3//7,6//7),(3//7,-6//7,2//7)]`
    B
    `[(6//7,2//7,3//7),(2//7,-3//7,6//7),(3//7,6//7,-2//7)]`
    C
    `[(-6//7,-2//7,-3//7),(2//7,3//7,6//7),(-3//7,6//7,2//7)]`
    D
    `[(6//7,-2//7,3//7),(2//7,2//7,-3//7),(-6//7,2//7,3//7)]`
  • Which of the following molecule does not exist in 3- D covalent solid form -

    A
    Black phosphorous
    B
    Diamond
    C
    Silicon carbide
    D
    Iodine
  • The inverse of a matrix A=[[a, b], [c, d]] is

    A
    `[[d, -b], [-c, a]]`
    B
    `[[b, -a], [d, -c]]`
    C
    `(1)/(|A|)[[1, 0], [0, 1]]`
    D
    `(1)/(ad-bc)[[d, -b], [-c, a]]`
  • Similar Questions

    Explore conceptually related problems

    Which one of the following whole numbers does not have a predecessor? (a) 1 (b) 0 (c) 2 (d) none of these

    Four non –zero vectors will always be a. linearly dependent b. linearly independent c. either a or b d. none of these

    A skew-symmetric matrix A satisfies the relation A^(2)+I=O, whereI is a unit matrix then A is a.idempotent b.orthogonal c.of even order d.odd order

    If A is a non-singular matrix such that AA^(T)=A^(T)A and B=A^(-1)A^(T), the matrix B is a.involuntary b.orthogonal c.idempotent d. none of these

    Which of the following is a symmetric matrix? (A) a null matrix (B) a triangular matrix (C) an idenity matrix (D) a diagonal matrix