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Matrices & Determinants
Matrices and Determinants
Medium

Question

If A = \left[ {\matrix{ { - 4} & { - 1} \cr 3 & 1 \cr } } \right], then the determinant of the matrix (A 2016 − 2A 2015 − A 2014 ) is :

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Solution

Key Concepts and Formulas

  1. Properties of Determinants: For any two square matrices AA and BB of the same order, the determinant of their product is the product of their determinants: det(AB)=det(A)det(B)\det(AB) = \det(A) \det(B) A direct consequence for any positive integer nn is: det(An)=(det(A))n\det(A^n) = (\det(A))^n Also, for a scalar kk and an n×nn \times n matrix AA, det(kA)=kndet(A)\det(kA) = k^n \det(A). For a 2×22 \times 2 matrix, det(kA)=k2det(A)\det(kA) = k^2 \det(A).

  2. Matrix Algebra Operations: Basic operations such as matrix multiplication, scalar multiplication, and matrix addition/subtraction. The identity matrix II plays a crucial role as the multiplicative identity in matrix algebra, where AI=IA=AA \cdot I = I \cdot A = A. When factoring out a matrix from an expression like A22A1A^2 - 2A - 1, the scalar '1' must be replaced by the identity matrix II to maintain matrix dimension compatibility, resulting in A22AIA^2 - 2A - I.

  3. Cayley-Hamilton Theorem (Advanced Tip): Every square matrix satisfies its own characteristic equation. For a 2×22 \times 2 matrix AA, its characteristic equation is det(AλI)=0\det(A - \lambda I) = 0, which can be written as λ2tr(A)λ+det(A)=0\lambda^2 - \text{tr}(A)\lambda + \det(A) = 0. By the theorem, A2tr(A)A+det(A)I=0A^2 - \text{tr}(A)A + \det(A)I = 0. This theorem is powerful for simplifying matrix polynomials.


Step-by-Step Solution

Given: The matrix A=[4131]A = \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix}. We need to find the determinant of the matrix expression (A20162A2015A2014)(A^{2016} - 2A^{2015} - A^{2014}).

Step 1: Simplify the matrix expression using factorization. The given expression involves very high powers of AA. Direct calculation of A2014A^{2014}, A2015A^{2015}, or A2016A^{2016} is computationally infeasible and unnecessary. We observe that A2014A^{2014} is a common factor in all terms. Let M=A20162A2015A2014M = A^{2016} - 2A^{2015} - A^{2014}. We can factor out A2014A^{2014} from the expression. Remember that when factoring out from a constant term (like 1-1 in this context), we must replace it with the identity matrix II of the same order as AA. M=A2014(A22AI)M = A^{2014}(A^2 - 2A - I) Now, we need to find det(M)\det(M). Using the determinant property det(AB)=det(A)det(B)\det(AB) = \det(A)\det(B): det(M)=det(A2014)det(A22AI)\det(M) = \det(A^{2014}) \det(A^2 - 2A - I) And using det(An)=(det(A))n\det(A^n) = (\det(A))^n: det(M)=(det(A))2014det(A22AI)\det(M) = (\det(A))^{2014} \det(A^2 - 2A - I) Our strategy is now to calculate det(A)\det(A) and det(A22AI)\det(A^2 - 2A - I) separately and then combine them.

Step 2: Calculate the determinant of matrix A, det(A)\det(A). For a 2×22 \times 2 matrix [abcd]\begin{bmatrix} a & b \\ c & d \end{bmatrix}, the determinant is adbcad - bc. det(A)=det[4131]=(4)(1)(1)(3)\det(A) = \det \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix} = (-4)(1) - (-1)(3) =4(3)=4+3=1= -4 - (-3) = -4 + 3 = -1 So, det(A)=1\det(A) = -1.

Step 3: Calculate the matrix expression A22AIA^2 - 2A - I. We will calculate A2A^2, 2A2A, and II separately and then combine them.

First, calculate A2A^2: A2=AA=[4131][4131]A^2 = A \cdot A = \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix} \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix} Perform matrix multiplication (row by column): A2=[(4)(4)+(1)(3)(4)(1)+(1)(1)(3)(4)+(1)(3)(3)(1)+(1)(1)]A^2 = \begin{bmatrix} (-4)(-4) + (-1)(3) & (-4)(-1) + (-1)(1) \\ (3)(-4) + (1)(3) & (3)(-1) + (1)(1) \end{bmatrix} A2=[1634112+33+1]=[13392]A^2 = \begin{bmatrix} 16 - 3 & 4 - 1 \\ -12 + 3 & -3 + 1 \end{bmatrix} = \begin{bmatrix} 13 & 3 \\ -9 & -2 \end{bmatrix}

Next, calculate 2A2A: 2A=2[4131]=[2(4)2(1)2321]=[8262]2A = 2 \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix} = \begin{bmatrix} 2 \cdot (-4) & 2 \cdot (-1) \\ 2 \cdot 3 & 2 \cdot 1 \end{bmatrix} = \begin{bmatrix} -8 & -2 \\ 6 & 2 \end{bmatrix}

The identity matrix II for a 2×22 \times 2 matrix is: I=[1001]I = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}

Now, substitute these matrices into the expression A22AIA^2 - 2A - I: A22AI=[13392][8262][1001]A^2 - 2A - I = \begin{bmatrix} 13 & 3 \\ -9 & -2 \end{bmatrix} - \begin{bmatrix} -8 & -2 \\ 6 & 2 \end{bmatrix} - \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} Perform the subtraction element by element: A22AI=[13(8)13(2)0960221]A^2 - 2A - I = \begin{bmatrix} 13 - (-8) - 1 & 3 - (-2) - 0 \\ -9 - 6 - 0 & -2 - 2 - 1 \end{bmatrix} A22AI=[13+813+20155]=[205155]A^2 - 2A - I = \begin{bmatrix} 13 + 8 - 1 & 3 + 2 - 0 \\ -15 & -5 \end{bmatrix} = \begin{bmatrix} 20 & 5 \\ -15 & -5 \end{bmatrix}

Step 4: Calculate the determinant of the matrix (A22AI)(A^2 - 2A - I). Let B=A22AI=[205155]B = A^2 - 2A - I = \begin{bmatrix} 20 & 5 \\ -15 & -5 \end{bmatrix}. det(B)=(20)(5)(5)(15)\det(B) = (20)(-5) - (5)(-15) =100(75)= -100 - (-75) =100+75=25= -100 + 75 = -25 So, det(A22AI)=25\det(A^2 - 2A - I) = -25.

Step 5: Combine the results to find det(A20162A2015A2014)\det(A^{2016} - 2A^{2015} - A^{2014}). From Step 1, we established: det(A20162A2015A2014)=(det(A))2014det(A22AI)\det(A^{2016} - 2A^{2015} - A^{2014}) = (\det(A))^{2014} \det(A^2 - 2A - I) Substitute the values we calculated: det(A)=1\det(A) = -1 (from Step 2) and det(A22AI)=25\det(A^2 - 2A - I) = -25 (from Step 4). det(A20162A2015A2014)=(1)2014(25)\det(A^{2016} - 2A^{2015} - A^{2014}) = (-1)^{2014} \cdot (-25) Since 2014 is an even number, (1)2014=1(-1)^{2014} = 1. =1(25)=25= 1 \cdot (-25) = -25 Thus, the determinant of the matrix (A20162A2015A2014)(A^{2016} - 2A^{2015} - A^{2014}) is 25-25.


Common Mistakes & Tips

  • Careful Matrix Arithmetic: Matrix multiplication, scalar multiplication, and subtraction must be performed accurately, element by element. Even a minor calculation error can lead to an incorrect final answer.
  • Understanding the Identity Matrix: Remember that in matrix expressions, a scalar constant (like the 1-1 in A22A1A^2 - 2A - 1) must be represented as a scalar multiple of the identity matrix (1I=I -1 \cdot I = -I) to maintain dimensional consistency for matrix addition/subtraction.
  • Leverage Determinant Properties: Always look for opportunities to simplify expressions involving determinants by using properties like det(AB)=det(A)det(B)\det(AB) = \det(A)\det(B) and det(An)=(det(A))n\det(A^n) = (\det(A))^n. This avoids the arduous task of calculating high powers of matrices directly.
  • Cayley-Hamilton Theorem for Efficiency: For 2×22 \times 2 matrices, the Cayley-Hamilton theorem often provides a more elegant and quicker path to simplify matrix polynomials. For matrix A=[4131]A = \begin{bmatrix} -4 & -1 \\ 3 & 1 \end{bmatrix}:
    1. Trace of AA, tr(A)=4+1=3\text{tr}(A) = -4 + 1 = -3.
    2. Determinant of AA, det(A)=1\det(A) = -1 (as calculated in Step 2).
    3. The characteristic equation is λ2tr(A)λ+det(A)=0\lambda^2 - \text{tr}(A)\lambda + \det(A) = 0, so λ2(3)λ+(1)=0    λ2+3λ1=0\lambda^2 - (-3)\lambda + (-1) = 0 \implies \lambda^2 + 3\lambda - 1 = 0.
    4. By Cayley-Hamilton Theorem, A2+3AI=0A^2 + 3A - I = 0, which implies A2=3A+IA^2 = -3A + I.
    5. Substitute this into the expression (A22AI)(A^2 - 2A - I): (3A+I)2AI=5A(-3A + I) - 2A - I = -5A.
    6. So, the determinant required is det(A2014(5A))=(det(A))2014det(5A)\det(A^{2014}(-5A)) = (\det(A))^{2014} \det(-5A).
    7. (det(A))2014=(1)2014=1(\det(A))^{2014} = (-1)^{2014} = 1.
    8. For a 2×22 \times 2 matrix, det(kA)=k2det(A)\det(kA) = k^2 \det(A). Thus, det(5A)=(5)2det(A)=25(1)=25\det(-5A) = (-5)^2 \det(A) = 25 \cdot (-1) = -25.
    9. The final result is 1(25)=251 \cdot (-25) = -25. This alternative method confirms the result and is generally faster.

Summary

The problem asked for the determinant of a matrix expression involving high powers of AA. The key to solving this efficiently was to first factor out A2014A^{2014} from the expression, simplifying it to A2014(A22AI)A^{2014}(A^2 - 2A - I). This allowed us to use the determinant properties det(AB)=det(A)det(B)\det(AB) = \det(A)\det(B) and det(An)=(det(A))n\det(A^n) = (\det(A))^n. We then calculated det(A)=1\det(A) = -1 and the matrix A22AIA^2 - 2A - I, followed by its determinant, which was 25-25. Combining these results, we found the final determinant to be (1)2014(25)=1(25)=25(-1)^{2014} \cdot (-25) = 1 \cdot (-25) = -25.

The final answer is 25\boxed{-25}, which corresponds to option (D).

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