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A matrix A=[a(ij)] is an upper triangula...

A matrix `A=[a_(ij)]` is an upper triangular matrix, if

A

it is a square matrix and `a_(ij) =0,iltj`

B

it is a square matrix and `a_(ij) =0,igtj`

C

it is not a square matrix and `a_(ij)=0,igtj`

D

it is not a square matrix and `a_(ij) =0,iltj`

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To determine the conditions under which a matrix \( A = [a_{ij}] \) is classified as an upper triangular matrix, we can follow these steps: ### Step-by-Step Solution: 1. **Definition of Upper Triangular Matrix**: An upper triangular matrix is defined as a square matrix where all the entries below the main diagonal are zero. This means that for a matrix \( A \) of size \( n \times n \), the elements \( a_{ij} \) must satisfy certain conditions based on their positions. 2. **Matrix Structure**: Consider a matrix \( A \) of size \( n \times n \): \[ A = \begin{bmatrix} a_{11} & a_{12} & a_{13} & \cdots & a_{1n} \\ a_{21} & a_{22} & a_{23} & \cdots & a_{2n} \\ a_{31} & a_{32} & a_{33} & \cdots & a_{3n} \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ a_{n1} & a_{n2} & a_{n3} & \cdots & a_{nn} \end{bmatrix} \] 3. **Condition for Upper Triangular Matrix**: For \( A \) to be an upper triangular matrix, the following condition must hold: \[ a_{ij} = 0 \quad \text{for all } i > j \] This means that if the row index \( i \) is greater than the column index \( j \), the corresponding element \( a_{ij} \) must be zero. 4. **Examples of Upper Triangular Matrices**: - A \( 2 \times 2 \) upper triangular matrix: \[ A = \begin{bmatrix} 1 & 2 \\ 0 & 3 \end{bmatrix} \] - A \( 3 \times 3 \) upper triangular matrix: \[ A = \begin{bmatrix} 1 & 2 & 3 \\ 0 & -1 & 4 \\ 0 & 0 & 5 \end{bmatrix} \] 5. **Conclusion**: Therefore, a matrix \( A = [a_{ij}] \) is an upper triangular matrix if all the elements below the main diagonal are zero, which can be mathematically expressed as \( a_{ij} = 0 \) for all \( i > j \).
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OBJECTIVE RD SHARMA-MATRICES-Exercise
  1. A matrix A=[a(ij)] is an upper triangular matrix, if

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  2. If A is any mxxn matrix such that AB and BA are both defined, then B i...

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  3. If E(theta)=[[cos theta, sin theta] , [-sin theta, cos theta]] then E(...

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  4. If {:E(theta)=[(cos^2 theta,costhetasintheta),(costhetasintheta,sin^2t...

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  5. {:A=[(cos^2 alpha,cosalphasinalpha),(cosalphasinalpha,sin^2alpha)]:} ...

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  6. If the matrix A is such that ({:(1,3),(0,1):})A=({:(1,1),(0,-1):}), t...

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  7. If I= [[1,0],[0,1]] , J = [[0,1],[-1,0]] and B = [[costheta, sintheta...

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  8. If A is a square matrix such that A A^T=I=A^TA, then A is

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  9. If A is an orthogonal matrix then A^(-1) equals A^T b. A c. A^2 d. non...

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  10. If D=diag(d1,d2,d3,…,dn)" where "d ne 0" for all " I = 1,2,…,n," then ...

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  11. If {:A=[(b,b^2),(-a^2,-ab)]:}, then A is

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  12. If A is a 3xx3 matrix and B is a matrix such that A^TB and BA^(T) are ...

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  13. Let {:A=[(1,2),(-5,1)]and A^(-1)=xA+yI:}, then the values of x and y a...

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  14. If the square matrices A and B are such that AB = A and BA = B, then

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  15. The inverse of an invertible symmetric matrix is a symmetric matrix.

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  16. The inverse of a diagonal matrix is a. a diagonal matrix b. a skew sym...

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  17. If A is a symmetric matrix and ninN then A^n is

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  18. If A is a skew-symmetric matrix and n is odd positive integer, then A^...

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  19. If A is a skew-symmetric matrix and n is odd positive integer, then A^...

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  20. If A is a skew-symmetric matrix and n is odd positive integer, then A^...

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