**23.** Let \( A \) be a square matrix of order 3 such that \( \det(A) = -2 \) and \[ \det\left( 3 \, \text{adj}(-6 \, \text{adj}(3A)) \right) = 2^{m+n} \cdot 3^{mn}, \quad m > n. \] Then \( 4m + 2n \) is equal to _____.

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Published July 8, 2025
Mathematics
Linear Algebra
Determinants & Adjoint
Matrix Properties

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Detailed Explanation

Key ideas you must know

  1. Determinant scaling by a scalar
    • For an n×nn\times n matrix MM, if you multiply the whole matrix by a scalar kk, the determinant multiplies by knk^n.
    • Formula: det(kM)=kndet(M)\det(kM)=k^n\det(M).
  2. Adjoint and determinant
    • For an n×nn\times n matrix MM, the adjoint (also called adjugate), noted adj(M)\operatorname{adj}(M), satisfies
    Madj(M)=det(M)IM\,\operatorname{adj}(M)=\det(M)\,I
    • Very useful property:
    det(adj(M))=(det(M))n1.\det\big(\operatorname{adj}(M)\big)=\big(\det(M)\big)^{\,n-1}.
  3. Chaining operations
    When you perform several steps (scalar multiplication, then adjoint, then scalar again, etc.), you can track the determinant step by step—you never need to write the whole matrix.

Logical chain to attack the problem

  1. Start with AA whose determinant is given (2-2).
  2. Step-1: Create 3A3A. Use the scalar rule to get its determinant.
  3. Step-2: Take the adjoint of that. Use the adjoint rule to get its new determinant.
  4. Step-3: Multiply by 6-6. Again apply the scalar rule.
  5. Step-4: Take the adjoint once more. Apply the adjoint rule again.
  6. Step-5: Multiply by 33. One last scalar rule.
  7. When you finish, you will have the determinant in the form 2(something)3(something)2^{\text{(something)}}3^{\text{(something)}}. Compare powers with 2m+n3mn2^{m+n}3^{mn} to find mm and nn.
  8. Finally compute 4m+2n4m+2n.

Simple Explanation (ELI5)

What the question says

Imagine you have a magic 3×3 number‐box (that’s the matrix A) and its secret code number (its determinant) is −2.
We do some cooking with this box:

  1. Triple it (multiply by 3).
  2. Find its twin box called the adjoint (it’s like a special rearrangement of the numbers).
  3. Multiply that twin by −6.
  4. Again find the twin of this new box.
  5. Finally triple the result once more.

The question asks: “What is the secret code number (determinant) of the final box?”
That number must look exactly like 2m+n×3mn2^{m+n} \times 3^{mn}, and you have to figure out the two little numbers m and n.
When you know them, plug them into 4m+2n4m + 2n and write the answer.

So it’s a fancy game of multiplying and taking twins, and all we really track is how the determinant changes each time.

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Step-by-Step Solution

Step-by-step calculation

  1. Original matrix AA : det(A)=2\det(A)=-2.

  2. Multiply by 3
    B=3AB = 3A
    det(B)=33det(A)=27×(2)=54\det(B)=3^3\,\det(A)=27\times(-2)=-54

  3. Take adjoint
    C=adj(B)=adj(3A)C = \operatorname{adj}(B)=\operatorname{adj}(3A)
    For order n=3n=3:
    det(C)=(det(B))n1=(54)2=2916\det(C)=\big(\det(B)\big)^{n-1}=(-54)^{2}=2916

  4. Multiply by 6-6
    D=6CD = -6C
    det(D)=(6)3det(C)=216×2916\det(D)=(-6)^3\,\det(C)=-216\times2916
    Factorising:
    216=(2333),2916=2236-216=-(2^3\,3^3), \quad 2916=2^2\,3^6
    det(D)=23+233+6=2539\det(D) = -2^{3+2}\,3^{3+6}= -2^{5}\,3^{9}

  5. Take adjoint again
    E=adj(D)=adj(6adj(3A))E = \operatorname{adj}(D)=\operatorname{adj}(-6\,\operatorname{adj}(3A))
    det(E)=(det(D))n1=(2539)2=210318\det(E)=\big(\det(D)\big)^{n-1}=\big(-2^{5}\,3^{9}\big)^{2}=2^{10}\,3^{18}

  6. Multiply by 3
    F=3EF = 3E
    det(F)=33det(E)=33210318=210321\det(F)=3^3\,\det(E)=3^{3}\,2^{10}\,3^{18}=2^{10}\,3^{21}

  7. Match with 2m+n3mn2^{m+n}\,3^{mn}
    [ m+n = 10, \quad mn = 21 ]
    The positive integer pair meeting these is (m,n)=(7,3)(m,n)=(7,3) with m>nm>n.

  8. Compute 4m+2n4m+2n
    4m+2n=4×7+2×3=28+6=344m+2n = 4\times7 + 2\times3 = 28+6 = 34

Final answer: 34

Examples

Example 1

Electrical engineering: Scaling an impedance matrix by a constant (e.g., changing units) scales its determinant by the constant power n, exactly like the scalar rule used here.

Example 2

Computer graphics: When a 3D model is uniformly scaled by a factor of k, the volume (related to determinant of the transformation matrix) changes by k^3—direct use of the scalar–determinant rule.

Example 3

Robotics: In manipulator Jacobians, adjoints appear when switching between force & velocity spaces; knowing how determinants transform helps in singularity analysis.

Visual Representation

References

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