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JEE Main 2022
Matrices & Determinants
Matrices and Determinants
Medium

Question

Let for A = \left[ {\matrix{ 1 & 2 & 3 \cr \alpha & 3 & 1 \cr 1 & 1 & 2 \cr } } \right],|A| = 2. If 2adj(2adj(2A))=32n\mathrm{|2\,adj\,(2\,adj\,(2A))| = {32^n}}, then 3n+α3n + \alpha is equal to

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Solution

Key Concepts and Formulas for Matrices and Determinants

This problem requires a strong understanding of properties related to determinants and adjoints of matrices. For an m×mm \times m matrix AA, the following properties are crucial:

  1. Determinant of a scalar multiple: kA=kmA|kA| = k^m |A|
  2. Determinant of the adjoint: adj(A)=Am1|\text{adj}(A)| = |A|^{m-1}
  3. Adjoint of a scalar multiple: adj(kA)=km1adj(A)\text{adj}(kA) = k^{m-1} \text{adj}(A)
  4. Adjoint of the adjoint: adj(adj(A))=Am2A\text{adj}(\text{adj}(A)) = |A|^{m-2} A
  5. Determinant of the adjoint of the adjoint: This can be derived from property 4: adj(adj(A))=Am2A|\text{adj}(\text{adj}(A))| = ||A|^{m-2} A| Using property 1, where the scalar is Am2|A|^{m-2}: adj(adj(A))=(Am2)mA|\text{adj}(\text{adj}(A))| = (|A|^{m-2})^m |A| adj(adj(A))=Am(m2)A|\text{adj}(\text{adj}(A))| = |A|^{m(m-2)} |A| adj(adj(A))=Am22m+1=A(m1)2|\text{adj}(\text{adj}(A))| = |A|^{m^2-2m+1} = |A|^{(m-1)^2}

In this specific problem, the matrix AA is a 3×33 \times 3 matrix, so m=3m=3. Let's adapt the general formulas for m=3m=3:

  1. kA=k3A|kA| = k^3 |A|
  2. adj(A)=A31=A2|\text{adj}(A)| = |A|^{3-1} = |A|^2
  3. adj(kA)=k31adj(A)=k2adj(A)\text{adj}(kA) = k^{3-1} \text{adj}(A) = k^2 \text{adj}(A)
  4. adj(adj(A))=A32A=AA\text{adj}(\text{adj}(A)) = |A|^{3-2} A = |A| A
  5. adj(adj(A))=A(31)2=A4|\text{adj}(\text{adj}(A))| = |A|^{(3-1)^2} = |A|^4

Step 1: Determine the value of α\alpha

We are given the matrix AA and its determinant A=2|A|=2. Our first goal is to use this information to find the value of α\alpha.

Given matrix: A=[123α31112]A = \begin{bmatrix} 1 & 2 & 3 \\ \alpha & 3 & 1 \\ 1 & 1 & 2 \end{bmatrix}

We calculate the determinant of AA using cofactor expansion along the first row. A=131122α112+3α311|A| = 1 \cdot \left| \begin{matrix} 3 & 1 \\ 1 & 2 \end{matrix} \right| - 2 \cdot \left| \begin{matrix} \alpha & 1 \\ 1 & 2 \end{matrix} \right| + 3 \cdot \left| \begin{matrix} \alpha & 3 \\ 1 & 1 \end{matrix} \right| Let's calculate each term:

  • The first term is 1×(determinant of minor for A11)1 \times (\text{determinant of minor for } A_{11}): 1×(3×21×1)=1(61)=51 \times (3 \times 2 - 1 \times 1) = 1(6 - 1) = 5
  • The second term is 2×(determinant of minor for A12)-2 \times (\text{determinant of minor for } A_{12}): 2×(α×21×1)=2(2α1)=4α+2-2 \times (\alpha \times 2 - 1 \times 1) = -2(2\alpha - 1) = -4\alpha + 2
  • The third term is +3×(determinant of minor for A13)+3 \times (\text{determinant of minor for } A_{13}): +3×(α×13×1)=+3(α3)=3α9+3 \times (\alpha \times 1 - 3 \times 1) = +3(\alpha - 3) = 3\alpha - 9 Now, sum these terms to find A|A|: A=5+(4α+2)+(3α9)|A| = 5 + (-4\alpha + 2) + (3\alpha - 9) A=54α+2+3α9|A| = 5 - 4\alpha + 2 + 3\alpha - 9 A=(5+29)+(4α+3α)|A| = (5 + 2 - 9) + (-4\alpha + 3\alpha) A=2α|A| = -2 - \alpha We are given that A=2|A|=2. So, we can set up the equation: 2α=2-2 - \alpha = 2 α=2+2-\alpha = 2 + 2 α=4-\alpha = 4 α=4\alpha = -4 Thus, the value of α\alpha is 4-4.

Tip: When calculating determinants, always be careful with signs in cofactor expansion. For a 3×33 \times 3 matrix, the sign pattern is [+++++]\begin{bmatrix} + & - & + \\ - & + & - \\ + & - & + \end{bmatrix}.


Step 2: Simplify the expression 2adj(2adj(2A))|2 \text{adj}(2 \text{adj}(2A))|

Our next goal is to simplify the given complex determinant expression using the properties derived above. We will work from the innermost part outwards.

Let the expression be E=2adj(2adj(2A))E = |2 \text{adj}(2 \text{adj}(2A))|. We know that for m=3m=3, A=2|A|=2.

  1. Simplify the innermost term, adj(2A)\text{adj}(2A): Using the property adj(kA)=k2adj(A)\text{adj}(kA) = k^2 \text{adj}(A) (for m=3m=3): adj(2A)=22adj(A)=4adj(A)\text{adj}(2A) = 2^2 \text{adj}(A) = 4 \text{adj}(A)

  2. Simplify the next layer, 2adj(2A)2 \text{adj}(2A): Substitute the result from step 1: 2adj(2A)=2(4adj(A))=8adj(A)2 \text{adj}(2A) = 2 (4 \text{adj}(A)) = 8 \text{adj}(A)

  3. Simplify adj(2adj(2A))\text{adj}(2 \text{adj}(2A)): This is equivalent to adj(8adj(A))\text{adj}(8 \text{adj}(A)). Again, we use the property adj(kM)=k2adj(M)\text{adj}(kM) = k^2 \text{adj}(M), where M=adj(A)M = \text{adj}(A) and k=8k=8: adj(8adj(A))=82adj(adj(A))\text{adj}(8 \text{adj}(A)) = 8^2 \text{adj}(\text{adj}(A)) =64adj(adj(A))= 64 \text{adj}(\text{adj}(A)) Now, use the property adj(adj(A))=AA\text{adj}(\text{adj}(A)) = |A|A (for m=3m=3): =64(AA)= 64 (|A|A) Since A=2|A|=2: =64(2A)=128A= 64 (2A) = 128A

  4. Simplify 2adj(2adj(2A))2 \text{adj}(2 \text{adj}(2A)): Substitute the result from step 3: 2adj(2adj(2A))=2(128A)=256A2 \text{adj}(2 \text{adj}(2A)) = 2 (128A) = 256A

  5. Calculate the determinant 2adj(2adj(2A))|2 \text{adj}(2 \text{adj}(2A))|: This is equivalent to 256A|256A|. Using the property kA=k3A|kA| = k^3 |A| (for m=3m=3), where k=256k=256: 256A=(256)3A|256A| = (256)^3 |A| Substitute the value A=2|A|=2: =(256)32= (256)^3 \cdot 2 To compare this with 32n32^n, let's express it in powers of 2. We know 256=28256 = 2^8: =(28)321= (2^8)^3 \cdot 2^1 =22421= 2^{24} \cdot 2^1 =225= 2^{25} So, we have found that 2adj(2adj(2A))=225|2 \text{adj}(2 \text{adj}(2A))| = 2^{25}.


Step 3: Equating to 32n32^n and finding nn

We are given that 2adj(2adj(2A))=32n|2 \text{adj}(2 \text{adj}(2A))| = 32^n. From Step 2, we found that 2adj(2adj(2A))=225|2 \text{adj}(2 \text{adj}(2A))| = 2^{25}. Equating these two expressions: 225=32n2^{25} = 32^n We need to express 3232 as a power of 22. We know 32=2532 = 2^5: 225=(25)n2^{25} = (2^5)^n Using the exponent rule (ab)c=abc(a^b)^c = a^{bc}: 225=25n2^{25} = 2^{5n} Since the bases are equal, the exponents must be equal: 25=5n25 = 5n n=255n = \frac{25}{5} n=5n = 5 Thus, the value of nn is 55.

Common Mistake: A common error is misapplying the determinant properties, especially confusing kmk^m with km1k^{m-1} or forgetting the scalar multiple inside the adjoint. Always write down the properties for the specific matrix order (m=3m=3 here) before starting.


Step 4: Calculate 3n+α3n + \alpha

Finally, we need to calculate the value of 3n+α3n + \alpha. From Step 1, we found α=4\alpha = -4. From Step 3, we found n=5n = 5. Substitute these values into the expression: 3n+α=3(5)+(4)3n + \alpha = 3(5) + (-4) =154= 15 - 4 =11= 11


Summary and Key Takeaway

The final value of 3n+α3n + \alpha is 1111. This problem is an excellent test of your mastery of matrix properties, particularly those involving determinants and adjoints. The key to solving such problems is to:

  1. Systematically apply the properties by working from the innermost expressions outwards.
  2. Keep track of the matrix order (m=3m=3 in this case), as it dictates the exponents in the formulas.
  3. Perform careful algebraic manipulations and conversions to common bases (like base 2 in this problem) when dealing with powers.

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