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Let the matrix mathrm A = left[ beginarrayl l l 1 & 0 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 0 endarray right] satisfy mathrm A ^ mathrm n = mathrm A ^ mathrm n - 2 + mathrm A ^ 2 - mathrm I for mathrm n geq 3. Then the sum of all the elements of mathrmA^50 is :-

Solution & Explanation

### Core Logic We are given the recurrence relation for the matrix power: A^n = A^n-2 + (A^2 - I) Let's apply this equation successively down to base levels: - For n = 50: A^50 = A^48 + (A^2 - I) - For n = 48: A^48 = A^46 + (A^2 - I) implies A^50 = A^46 + 2(A^2 - I) - For n = 46: A^50 = A^44 + 3(A^2 - I) Following this telescoping reduction pattern down to A^2: A^50 = A^2 + 24(A^2 - I) = 25A^2 - 24I ### Step 1: Computing A^2 Let's perform matrix multiplication to find A^2: A^2 = beginbmatrix 1 & 0 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 0 endbmatrix beginbmatrix 1 & 0 & 0 \\ 1 & 0 & 1 \\ 0 & 1 & 0 endbmatrix = beginbmatrix 1(1) & 0 & 0 \\ 1(1)+1(0) & 1(0)+1(1) & 0 \\ 1(0)+1(1) & 0 & 1(1) endbmatrix = beginbmatrix 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 0 & 1 endbmatrix ### Step 2: Calculating A^50 and Element Sum Substitute A^2 back into our reduction formula: A^50 = 25beginbmatrix 1 & 0 & 0 \\ 1 & 1 & 0 \\ 1 & 0 & 1 endbmatrix - 24beginbmatrix 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 endbmatrix = beginbmatrix 25-24 & 0 & 0 \\ 25 & 25-24 & 0 \\ 25 & 0 & 25-24 endbmatrix = beginbmatrix 1 & 0 & 0 \\ 25 & 1 & 0 \\ 25 & 0 & 1 endbmatrix Now, sum all the individual element matrix fields: textSum = 1 + 0 + 0 + 25 + 1 + 0 + 25 + 0 + 1 = 53 ### Pattern Recognition When a matrix power formula contains a constant difference block like (A^2 - I), treat it as an arithmetic progression step multiplier over successive matrix indices to bypass calculating high powers. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Matrices and Determinants

Reference Study Guides

More Matrices and Determinants Previous-Year Questions — Page 6

Q70 2025 Cofactors and Determinant Value
Let mathrmA = left[mathbfa_mathrmijright] = beginbmatrix log_5128 & log_45 \\ log_58 & log_425 endbmatrix . If A_ij is the cofactor of a_ij , C_ij = sum_k=1^2 a_ik A_jk , 1 leq i, j leq 2 , and C = [C_ij] , then 8|C| is equal to:
  • A. 262
  • B. 288
  • C. 242
  • D. 222

Solution

### Related Formula sum_k a_ik A_jk = delta_ij |A| implies C = beginbmatrix |A| & 0 \\ 0 & |A| endbmatrix implies |C| = |A|^2 ### Core Logic Evaluate the determinant of matrix A: |A| = (log_5 128)(log_4 25) - (log_4 5)(log_5 8) Using change of base rules: |A| = left(7log_5 2right)left(2log_4 5right) - left(frac12log_2 5right)left(3log_5 2right) |A| = 14left(log_5 2 cdot frac12log_2 5right) - frac32 = 7 - 1.5 = 5.5 = frac112 ### Step 1: Compute |C| and evaluate response target Since matrix properties dictate |C| = |A|^2: |C| = left(frac112right)^2 = frac1214 Evaluate targeted multiplier: 8|C| = 8 times frac1214 = 2 times 121 = 242 ### Pattern Recognition Recognize the core cofactor theorem identity instantly: multiplying rows by cofactors of other rows creates zero elements, yielding basic diagonal scalar structures matching matrix attributes. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Matrices and Determinants

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