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Matrices & Determinants
Matrices and Determinants
Medium

Question

Let B=[1315]B=\left[\begin{array}{ll}1 & 3 \\ 1 & 5\end{array}\right] and AA be a 2×22 \times 2 matrix such that AB1=A1A B^{-1}=A^{-1}. If BCB1=AB C B^{-1}=A and C4+αC2+βI=OC^4+\alpha C^2+\beta I=O, then 2βα2 \beta-\alpha is equal to

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Solution

Key Concepts and Formulas

  1. Matrix Inverse Properties: For an invertible matrix MM, MM1=M1M=IM M^{-1} = M^{-1} M = I, where II is the identity matrix. This is used extensively for simplifying matrix equations.
  2. Similar Matrices: If a matrix CC can be expressed as P1APP^{-1}AP for some invertible matrix PP, then CC is similar to AA. A powerful property of similar matrices is that Cn=P1AnPC^n = P^{-1}A^n P. This simplifies calculations of powers of CC.
  3. Cayley-Hamilton Theorem (for 2×22 \times 2 matrices): Every square matrix satisfies its own characteristic equation. For a 2×22 \times 2 matrix MM, its characteristic equation is det(MλI)=0\det(M - \lambda I) = 0, which simplifies to λ2tr(M)λ+det(M)=0\lambda^2 - \text{tr}(M)\lambda + \det(M) = 0. By Cayley-Hamilton, M2tr(M)M+det(M)I=OM^2 - \text{tr}(M)M + \det(M)I = O, where tr(M)\text{tr}(M) is the trace (sum of diagonal elements) and det(M)\det(M) is the determinant of MM.

Step-by-Step Solution

Step 1: Simplify the relationship between AA and BB.

We are given the equation AB1=A1A B^{-1}=A^{-1}. Our goal is to find a direct relationship between AA and BB.

  • Given: AB1=A1A B^{-1}=A^{-1}
  • Action: To eliminate A1A^{-1} from the right side, we multiply both sides by AA from the left. A(AB1)=A(A1)A (A B^{-1}) = A (A^{-1})
  • Explanation: Using the associative property of matrix multiplication and the definition of an inverse (AA1=IA A^{-1} = I), we simplify the equation. A2B1=IA^2 B^{-1} = I
  • Action: To isolate A2A^2, we multiply both sides by BB from the right. (A2B1)B=IB(A^2 B^{-1}) B = I B
  • Explanation: Again, using associativity and the inverse property (B1B=IB^{-1} B = I), we get: A2(B1B)=BA^2 (B^{-1} B) = B A2I=BA^2 I = B A2=B\boxed{A^2 = B} This fundamental relationship is crucial for subsequent steps.

Step 2: Express matrix CC in terms of AA and BB.

We are given BCB1=AB C B^{-1}=A. We want to isolate CC to work with its powers.

  • Given: BCB1=AB C B^{-1}=A
  • Action: To isolate CC, we need to remove BB from its left and B1B^{-1} from its right. First, multiply both sides by B1B^{-1} from the left. B1(BCB1)=B1AB^{-1} (B C B^{-1}) = B^{-1} A
  • Explanation: Using B1B=IB^{-1} B = I, the expression simplifies to: (B1B)CB1=B1A(B^{-1} B) C B^{-1} = B^{-1} A ICB1=B1AI C B^{-1} = B^{-1} A CB1=B1AC B^{-1} = B^{-1} A
  • Action: Next, multiply both sides by BB from the right. (CB1)B=(B1A)B(C B^{-1}) B = (B^{-1} A) B
  • Explanation: Using B1B=IB^{-1} B = I again, we get: C(B1B)=B1ABC (B^{-1} B) = B^{-1} A B CI=B1ABC I = B^{-1} A B C=B1AB\boxed{C = B^{-1} A B} This shows that CC is similar to AA, which is a key insight for efficiently calculating powers of CC.

Step 3: Calculate C2C^2 and C4C^4 in terms of BB.

Using the similar matrix form of CC and the relationship A2=BA^2=B, we can simplify C2C^2 and C4C^4.

  • Calculate C2C^2: C2=(B1AB)(B1AB)C^2 = (B^{-1} A B)(B^{-1} A B)

  • Explanation: We regroup terms using associativity, noting that BB1=IB B^{-1} = I. C2=B1A(BB1)ABC^2 = B^{-1} A (B B^{-1}) A B C2=B1AIABC^2 = B^{-1} A I A B C2=B1A2BC^2 = B^{-1} A^2 B

  • Action: Now, substitute A2=BA^2=B (from Step 1). C2=B1(B)BC^2 = B^{-1} (B) B

  • Explanation: Using B1B=IB^{-1} B = I, we get: C2=(B1B)BC^2 = (B^{-1} B) B C2=IBC^2 = I B C2=B\boxed{C^2 = B}

  • Calculate C4C^4: We can calculate C4C^4 as (C2)2(C^2)^2. C4=(C2)2C^4 = (C^2)^2

  • Action: Substitute C2=BC^2=B. C4=B2C^4 = B^2 C4=B2\boxed{C^4 = B^2}

Step 4: Substitute C2C^2 and C4C^4 into the polynomial equation.

We are given the matrix polynomial equation C4+αC2+βI=OC^4+\alpha C^2+\beta I=O.

  • Given: C4+αC2+βI=OC^4+\alpha C^2+\beta I=O
  • Action: Substitute the simplified expressions C4=B2C^4=B^2 and C2=BC^2=B. B2+αB+βI=OB^2 + \alpha B + \beta I = O
  • Explanation: This transforms the equation into one involving only matrix BB and the scalar coefficients α,β\alpha, \beta. Note that β\beta must be multiplied by the identity matrix II for dimensional consistency when adding to other matrices, and OO represents the zero matrix.

Step 5: Use the Cayley-Hamilton Theorem to find α\alpha and β\beta.

We have the matrix B=[1315]B=\left[\begin{array}{ll}1 & 3 \\ 1 & 5\end{array}\right]. The Cayley-Hamilton theorem states that every 2×22 \times 2 matrix MM satisfies M2tr(M)M+det(M)I=OM^2 - \text{tr}(M)M + \det(M)I = O. We will apply this to matrix BB.

  • Calculate Trace of BB (tr(B)\text{tr}(B)): The sum of the diagonal elements. tr(B)=1+5=6\text{tr}(B) = 1 + 5 = 6
  • Calculate Determinant of BB (det(B)\det(B)): For a 2×22 \times 2 matrix [abcd]\left[\begin{array}{ll}a & b \\ c & d\end{array}\right], det=adbc\det = ad-bc. det(B)=(1)(5)(3)(1)=53=2\det(B) = (1)(5) - (3)(1) = 5 - 3 = 2
  • Apply Cayley-Hamilton Theorem for BB: B2tr(B)B+det(B)I=OB^2 - \text{tr}(B)B + \det(B)I = O B26B+2I=OB^2 - 6B + 2I = O
  • Compare with the derived polynomial equation: We have B2+αB+βI=OB^2 + \alpha B + \beta I = O. Comparing this with B26B+2I=OB^2 - 6B + 2I = O, we can directly identify the coefficients: α=6\boxed{\alpha = -6} β=2\boxed{\beta = 2}

Step 6: Calculate 2βα2\beta-\alpha.

Finally, substitute the values of α\alpha and β\beta into the expression 2βα2\beta-\alpha.

  • Calculation: 2βα=2(2)(6)2\beta-\alpha = 2(2) - (-6) 2βα=4+62\beta-\alpha = 4 + 6 2βα=10\boxed{2\beta-\alpha = 10}

Common Mistakes & Tips

  • Order of Matrix Multiplication: Remember that matrix multiplication is not commutative (ABBAAB \neq BA in general). The order of multiplication (left vs. right) is critical when manipulating matrix equations.
  • Identity Matrix for Scalars: When adding or equating matrix expressions, scalar terms like β\beta must always be multiplied by the identity matrix II (e.g., βI\beta I) to maintain dimensional consistency.
  • Leverage Similar Matrices: Recognizing C=P1APC=P^{-1}AP simplifies powers of CC significantly to Cn=P1AnPC^n=P^{-1}A^n P, avoiding tedious direct calculation of CC.
  • Cayley-Hamilton Theorem: For 2×22 \times 2 matrices, this theorem is an incredibly powerful shortcut for finding polynomial relationships (like B2+αB+βI=OB^2 + \alpha B + \beta I = O) without calculating B2B^2 explicitly and solving a system of linear equations from its elements.

Summary

The problem started by establishing key relationships between matrices AA, BB, and CC. We first simplified AB1=A1A B^{-1}=A^{-1} to obtain A2=BA^2=B. Then, we expressed CC in terms of AA and BB as C=B1ABC=B^{-1}AB, showing that CC is similar to AA. This allowed us to efficiently calculate C2=B1A2B=B1BB=BC^2 = B^{-1}A^2B = B^{-1}BB = B and subsequently C4=(C2)2=B2C^4 = (C^2)^2 = B^2. Substituting these into the given polynomial equation C4+αC2+βI=OC^4+\alpha C^2+\beta I=O yielded B2+αB+βI=OB^2+\alpha B+\beta I=O. Finally, by applying the Cayley-Hamilton theorem to matrix BB, we found its characteristic polynomial B26B+2I=OB^2 - 6B + 2I = O, from which we directly deduced α=6\alpha=-6 and β=2\beta=2. The desired expression 2βα2\beta-\alpha was then calculated as 2(2)(6)=102(2) - (-6) = 10.

The final answer is 10\boxed{10}, which corresponds to option (A).

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