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Q.If the matrix 𝐴 = [ 0 π‘Ÿ βˆ’2 3 𝑝 𝑑 π‘ž βˆ’4 0 ] is skew-symmetric, then value of π‘ž+𝑑 𝑝+π‘Ÿ is…. (A)βˆ’2 (B) 0 (C) 1 (D) 2 1

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A skew-symmetric matrix has zeros on its diagonal and satisfies AT=βˆ’AA^T = -A. Equating corresponding entries gives p=βˆ’3p = -3, r=2r = 2, q=βˆ’2q = -2, t=4t = 4, so q+tp+r=βˆ’2+4βˆ’3+2=2βˆ’1=βˆ’2\frac{q+t}{p+r} = \frac{-2+4}{-3+2} = \frac{2}{-1} = -2. The answer is (A).

A skew-symmetric matrix is one where the transpose equals the negative of the original matrix. That is, AT=βˆ’AA^T = -A. This condition forces every diagonal element to be zero (because aii=βˆ’aiia_{ii} = -a_{ii} implies aii=0a_{ii}=0), and every off-diagonal pair (i,j)(i,j) and (j,i)(j,i) must satisfy aij=βˆ’ajia_{ij} = -a_{ji}.

The given matrix is:

A=[0rβˆ’23ptqβˆ’40]A = \begin{bmatrix} 0 & r & -2 \\ 3 & p & t \\ q & -4 & 0 \end{bmatrix}

We are told it is skew-symmetric. That means we can directly apply the condition aij=βˆ’ajia_{ij} = -a_{ji} for every pair of positions. Let’s go entry by entry.

  1. Diagonal entries: Already a11=0a_{11}=0, a22=pa_{22}=p, a33=0a_{33}=0. For skew-symmetry, pp must be 00 because a22=βˆ’a22a_{22} = -a_{22} forces p=βˆ’pp = -p, so p=0p=0. Wait β€” check carefully: the condition a22=βˆ’a22a_{22} = -a_{22} gives 2p=02p=0, so p=0p=0. But we also have other constraints from off-diagonal pairs that will determine pp differently. Let’s hold that thought β€” actually, the diagonal condition is independent: every diagonal element of a skew-symmetric matrix must be zero. So p=0p=0 is forced. But then look at the (2,1)(2,1) and (1,2)(1,2) pair: a21=3a_{21}=3 and a12=ra_{12}=r. Skew-symmetry says a21=βˆ’a12a_{21} = -a_{12}, so 3=βˆ’r3 = -r, giving r=βˆ’3r = -3. Similarly, a31=qa_{31}=q and a13=βˆ’2a_{13}=-2 gives q=βˆ’(βˆ’2)=2q = -(-2) = 2? Let’s do it systematically.

  2. Pair (1,2) and (2,1): a12=ra_{12}=r, a21=3a_{21}=3. Condition: a21=βˆ’a12a_{21} = -a_{12} β†’ 3=βˆ’r3 = -r β†’ r=βˆ’3r = -3.

  3. Pair (1,3) and (3,1): a13=βˆ’2a_{13}=-2, a31=qa_{31}=q. Condition: a31=βˆ’a13a_{31} = -a_{13} β†’ q=βˆ’(βˆ’2)=2q = -(-2) = 2.

  4. Pair (2,3) and (3,2): a23=ta_{23}=t, a32=βˆ’4a_{32}=-4. Condition: a32=βˆ’a23a_{32} = -a_{23} β†’ βˆ’4=βˆ’t-4 = -t β†’ t=4t = 4.

  5. Diagonal: a22=pa_{22}=p must be 00 (since p=βˆ’pp = -p). So p=0p=0.

Now we have p=0p=0, r=βˆ’3r=-3, q=2q=2, t=4t=4. The expression we need is q+tp+r\frac{q+t}{p+r}.

Compute numerator: q+t=2+4=6q+t = 2 + 4 = 6.

Denominator: p+r=0+(βˆ’3)=βˆ’3p+r = 0 + (-3) = -3.

So 6βˆ’3=βˆ’2\frac{6}{-3} = -2.

Watch out

A common mistake is to forget that the diagonal entries of a skew-symmetric matrix are always zero. Here pp must be 00, not something else. Also, be careful with signs when equating aji=βˆ’aija_{ji} = -a_{ij} β€” it’s easy to flip the wrong way.

Tip

You can also write the skew-symmetry condition as AT=βˆ’AA^T = -A and compare the whole matrices. Transpose AA:

AT=[03qrpβˆ’4βˆ’2t0]A^T = \begin{bmatrix} 0 & 3 & q \\ r & p & -4 \\ -2 & t & 0 \end{bmatrix}

Then βˆ’A=[0βˆ’r2βˆ’3βˆ’pβˆ’tβˆ’q40]-A = \begin{bmatrix} 0 & -r & 2 \\ -3 & -p & -t \\ -q & 4 & 0 \end{bmatrix}.

Equating AT=βˆ’AA^T = -A entry by entry gives the same equations: 3=βˆ’r3 = -r, q=2q = 2, βˆ’4=βˆ’t-4 = -t, and p=βˆ’pp = -p β†’ p=0p=0. This is a good double-check method.

βœ“Final answer

The value is βˆ’2\boxed{-2}, which corresponds to option (A).

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