To find the value of the given expression, we first express the matrix P P P as the sum of the identity matrix I I I and a strictly lower triangular matrix A A A :
P = I + A P = I + A P = I + A
where
I = [ 1 0 0 0 1 0 0 0 1 ] and A = [ 0 0 0 4 0 0 16 4 0 ] I = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} \quad \text{and} \quad A = \begin{bmatrix} 0 & 0 & 0 \\ 4 & 0 & 0 \\ 16 & 4 & 0 \end{bmatrix} I = 1 0 0 0 1 0 0 0 1 and A = 0 4 16 0 0 4 0 0 0
Now, let us calculate the higher powers of matrix A A A :
A 2 = [ 0 0 0 4 0 0 16 4 0 ] [ 0 0 0 4 0 0 16 4 0 ] = [ 0 0 0 0 0 0 16 0 0 ] A^2 = \begin{bmatrix} 0 & 0 & 0 \\ 4 & 0 & 0 \\ 16 & 4 & 0 \end{bmatrix} \begin{bmatrix} 0 & 0 & 0 \\ 4 & 0 & 0 \\ 16 & 4 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 16 & 0 & 0 \end{bmatrix} A 2 = 0 4 16 0 0 4 0 0 0 0 4 16 0 0 4 0 0 0 = 0 0 16 0 0 0 0 0 0
A 3 = A 2 ⋅ A = [ 0 0 0 0 0 0 16 0 0 ] [ 0 0 0 4 0 0 16 4 0 ] = [ 0 0 0 0 0 0 0 0 0 ] = O A^3 = A^2 \cdot A = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 16 & 0 & 0 \end{bmatrix} \begin{bmatrix} 0 & 0 & 0 \\ 4 & 0 & 0 \\ 16 & 4 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} = O A 3 = A 2 ⋅ A = 0 0 16 0 0 0 0 0 0 0 4 16 0 0 4 0 0 0 = 0 0 0 0 0 0 0 0 0 = O
Since A k = O A^k = O A k = O for all k ≥ 3 k \ge 3 k ≥ 3 , matrix A A A is nilpotent of index 3 3 3 .
Since I I I and A A A commute (I A = A I IA = AI I A = A I ), we can expand P n = ( I + A ) n P^{n} = (I + A)^n P n = ( I + A ) n using the Binomial Theorem:
P n = I + n A + n ( n − 1 ) 2 ! A 2 P^n = I + nA + \frac{n(n-1)}{2!} A^2 P n = I + n A + 2 ! n ( n − 1 ) A 2
For n = 50 n = 50 n = 50 :
P 50 = I + 50 A + 50 × 49 2 A 2 = I + 50 A + 1225 A 2 P^{50} = I + 50A + \frac{50 \times 49}{2} A^2 = I + 50A + 1225 A^2 P 50 = I + 50 A + 2 50 × 49 A 2 = I + 50 A + 1225 A 2
We are given that P 50 − Q = I P^{50} - Q = I P 50 − Q = I , which gives:
Q = P 50 − I = 50 A + 1225 A 2 Q = P^{50} - I = 50A + 1225 A^2 Q = P 50 − I = 50 A + 1225 A 2
Substituting the matrices A A A and A 2 A^2 A 2 into the equation for Q Q Q :
Q = 50 [ 0 0 0 4 0 0 16 4 0 ] + 1225 [ 0 0 0 0 0 0 16 0 0 ] Q = 50 \begin{bmatrix} 0 & 0 & 0 \\ 4 & 0 & 0 \\ 16 & 4 & 0 \end{bmatrix} + 1225 \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 16 & 0 & 0 \end{bmatrix} Q = 50 0 4 16 0 0 4 0 0 0 + 1225 0 0 16 0 0 0 0 0 0
Q = [ 0 0 0 200 0 0 800 200 0 ] + [ 0 0 0 0 0 0 19600 0 0 ] = [ 0 0 0 200 0 0 20400 200 0 ] Q = \begin{bmatrix} 0 & 0 & 0 \\ 200 & 0 & 0 \\ 800 & 200 & 0 \end{bmatrix} + \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 19600 & 0 & 0 \end{bmatrix} = \begin{bmatrix} 0 & 0 & 0 \\ 200 & 0 & 0 \\ 20400 & 200 & 0 \end{bmatrix} Q = 0 200 800 0 0 200 0 0 0 + 0 0 19600 0 0 0 0 0 0 = 0 200 20400 0 0 200 0 0 0
From matrix Q = [ q i j ] Q = [q_{ij}] Q = [ q ij ] , we identify the required elements:
q 21 = 200 q_{21} = 200 q 21 = 200
q 31 = 20400 q_{31} = 20400 q 31 = 20400
q 32 = 200 q_{32} = 200 q 32 = 200
Thus, the ratio q 31 + q 32 q 21 \frac{q_{31} + q_{32}}{q_{21}} q 21 q 31 + q 32 is:
q 31 + q 32 q 21 = 20400 + 200 200 = 20600 200 = 103 \frac{q_{31} + q_{32}}{q_{21}} = \frac{20400 + 200}{200} = \frac{20600}{200} = 103 q 21 q 31 + q 32 = 200 20400 + 200 = 200 20600 = 103
Hence, the correct option is (B) .