Animated Solution for Mathematics - Matrices and Determinants: Let A=21012−10−12. If ∣adj(adj(adj2A))∣=(16)n, then n is equal to
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Visualized Solution
Introduction to Matrix A
Given matrix A=21012−10−12
Objective: Find n such that ∣adj(adj(adj(2A)))∣=16n
Computing the Determinant of A
Expanding ∣A∣ along the first row:
∣A∣=2(4−1)−1(2−0)+0
∣A∣=2(3)−2=4
Property of Scalar Multiplication
Property: For a matrix of order m, ∣kA∣=km∣A∣
Here, m=3 and k=2
Calculating ∣2A∣
∣2A∣=23∣A∣=8×4=32
Expressing as a power of 2: ∣2A∣=25
Property of Nested Adjoints
Property: ∣adj(adj(adj(X)))∣=∣X∣(m−1)3
For k nested adjoints, the power is (m−1)k
Applying the Adjoint Property
Let X=2A and m=3
∣adj(adj(adj(2A)))∣=∣2A∣(3−1)3
∣adj(adj(adj(2A)))∣=∣2A∣23=∣2A∣8
Substituting ∣2A∣ Value
Substitute ∣2A∣=25:
∣adj(adj(adj(2A)))∣=(25)8
∣adj(adj(adj(2A)))∣=240
Converting to Base 16
Given expression equals 16n
240=16n
Convert 240 to base 16:
240=(24)10=1610
Final Comparison and Result
Comparing 1610 with 16n:
1610=16n⟹n=10
Final Answer:n=10
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The Sigma Insight: Adjoint and Inverse of a Matrix
Solution Diagram
The Matrix Jungle
Navigating Nested Adjoints
Welcome, fellow traveler of the mathematical landscape. Today, we are standing before a problem that looks like a fortress of symbols: ∣adj(adj(adj(2A)))∣=(16)n.
At first glance, it is easy to feel overwhelmed. You see nested adjoints, scalar multiplication, and a power of 16. But let me tell you a secret: this problem is not a fortress; it is a puzzle designed to reward those who understand the elegant, underlying architecture of linear algebra.
Phase 1
The Foundation — Determinant of A
Before we can scale the heights of nested adjoints, we must understand the ground we stand on. We are given the matrix A=21012−10−12.
Our first task is to find its determinant, ∣A∣. Expanding along the first row is our most reliable path. We calculate:
∣A∣=2(2×2−(−1×−1))−1(1×2−(−1×0))+0
∣A∣=2(4−1)−1(2−0)+0
∣A∣=2(3)−2=4
There it is. The determinant of our base matrix is 4. This simple number is the key that will unlock the entire problem. Never underestimate the power of a clean, calculated determinant.
Phase 2
The Scalar Trap
Now, we encounter the term ∣2A∣. Many students instinctively pull the 2 out and write 2∣A∣. But stop!
Remember the geometric soul of the determinant. A 3×3 matrix represents a transformation in 3D space. When you multiply the matrix by 2, you are stretching the space in all three dimensions. Therefore, the volume (the determinant) scales by 23.
Using the property ∣kA∣=km∣A∣, where m=3 is the order of the matrix, we get:
∣2A∣=23∣A∣=8×4=32
To make our lives easier later, let us write this as a power of 2: ∣2A∣=25. Keeping numbers in their exponential form is a pro-tip for JEE; it prevents messy arithmetic and makes comparisons trivial.
Phase 3
The Nested Adjoint Mystery
Now, we face the beast: ∣adj(adj(adj(2A)))∣. This looks terrifying, but it is actually a beautiful application of a single, powerful theorem. We know that for any matrix X of order m, the determinant of its adjoint is ∣adj(X)∣=∣X∣m−1.
Do you see the pattern? For k nested adjoints, the exponent is (m−1)k. In our case, m=3 and k=3. Thus, the exponent is (3−1)3=23=8.
Our expression simplifies to:
∣adj(adj(adj(2A)))∣=∣2A∣8
Phase 4
The Final Comparison
We are almost there. We have ∣2A∣=25 and our exponent is 8. Substituting these in:
∣adj(adj(adj(2A)))∣=(25)8=240
The problem tells us this value is equal to 16n. We need to bridge the gap between base 2 and base 16. We know that 16=24. Therefore, we can rewrite our result:
240=(24)10=1610
Comparing 1610 with 16n, the conclusion is immediate: n=10.
Reflection
Look at what we just achieved. We navigated through scalar properties, determinant definitions, and nested adjoint theorems. We didn't brute-force a single matrix multiplication.
We used the elegance of mathematics to dismantle a complex problem piece by piece. This is the essence of JEE Advanced physics and math: it is not about how hard you work, but how well you understand the tools in your kit. Keep this mindset, and no problem will ever be too intimidating again.