Analyzing the Setup
Welcome, fellow traveler in the world of mathematics. Today, we are not just solving a problem; we are embarking on a journey through the elegant, nested structure of matrix algebra.
When you first look at an expression like det(3adj(2adj((detA)A))), it is natural to feel a surge of intimidation. It looks like a labyrinth of operators, constants, and nested brackets.
But here is the secret: this is not a labyrinth; it is an onion. And like any onion, the only way to reach the core without tears is to peel it, one layer at a time.
The Toolkit
Our Mathematical Foundation
Before we touch the expression, let us ensure our toolkit is sharp. We are dealing with a non-singular matrix A of order n=3. This means $\det(A)
eq 0$.
To navigate this problem, we rely on two fundamental properties of determinants:
1. The scalar multiplication property: det(kM)=kndet(M). Since our order n=3, every time we pull a constant k out of a determinant, it emerges as k3.
2. The adjoint property: det(adj(M))=(detM)n−1. With n=3, this simplifies to det(adj(M))=(detM)2.
These two properties are our keys to unlocking the structure.
Peeling the Onion
Layer by Layer
Let us start with our first expression: det(3adj(2adj(∣A∣A))). We look at the outermost layer.
Using our first property, we pull the 3 out of the determinant. It emerges as 33. Now, our expression is:
Next, we face the adjoint operator. We use our second property: det(adj(M))=(detM)2. Here, M=2adj(∣A∣A).
So, the expression becomes:
Now, look inside the square brackets: det(2adj(∣A∣A)). Again, we have a constant 2 inside a determinant. We pull it out as 23.
Because this 23 is trapped inside the square bracket, which is raised to the power of 2, it becomes (23)2=26. Our expression is now:
Reaching the Core
We are closing in on the center. We have the inner adjoint operator: det(adj(∣A∣A)). Applying the adjoint property again, this becomes (det(∣A∣A))2.
Since this was already squared, we now have (det(∣A∣A))4. Finally, we tackle the innermost term: det(∣A∣A).
Here, ∣A∣ is just a scalar. Pulling it out gives ∣A∣3det(A), which is ∣A∣3⋅∣A∣=∣A∣4. Raising this to the power of 4, we get:
Putting it all together, our massive expression simplifies to the elegant:
The Final Reveal
We are given that this expression equals 3−13⋅2−10. So, we set up the equation:
Dividing both sides by 33⋅26, we find:
Taking the sixteenth root, we find ∣A∣=3−1⋅2−1=61.
With ∣A∣ in hand, the second expression, det(3adj(2A)), becomes a simple exercise. Following the same logic, it simplifies to:
Substituting ∣A∣=3−1⋅2−1, we get:
33⋅26⋅(3−1⋅2−1)2=33⋅26⋅3−2⋅2−2=31⋅24
Comparing this to 2m⋅3n, we find m=4 and n=1. The final calculation is:
You have mastered the onion!