The Architecture of Matrices
A Journey into Decomposition
Welcome, future engineer. Today, we are not just solving a matrix problem; we are peeling back the layers of linear algebra to understand the very anatomy of a matrix.
You have been given a matrix A=[2a30] and told that it can be decomposed into two distinct entities: P and Q. This is not merely an algebraic trick; it is a fundamental truth of linear algebra.
Every square matrix can be uniquely expressed as the sum of a symmetric matrix and a skew-symmetric matrix. Think of this like breaking a complex force vector into its horizontal and vertical components. It simplifies the chaos into order.
Phase 1
The Anatomy of Symmetry
Let us define our players. We are told P is symmetric, meaning PT=P, and Q is skew-symmetric, meaning QT=−Q. How do we extract these from A?
The beauty of linear algebra gives us the formulas directly:
Before we rush into the calculation, pause and visualize what is happening. When we add A to its transpose AT, the off-diagonal elements align in a way that creates symmetry. When we subtract AT from A, the diagonal elements cancel out to zero, and the off-diagonal elements become negatives of each other.
This is the signature of skew-symmetry. Let us write down AT=[23a0] and prepare for the construction.
Phase 2
The Skew-Symmetric Constraint
We are given a specific constraint: det(Q)=9. This is our anchor. Let us construct Q explicitly.
Using our formula, we have:
Q=21([2a30]−[23a0])=21[0a−33−a0]=[02a−323−a0]
Look at that matrix. The diagonal is zero, and the off-diagonal elements are negatives of each other. It is perfectly skew-symmetric.
Now, let us calculate the determinant. For a 2×2 matrix, the determinant is ad−bc. Here, that is (0)(0)−(23−a)(2a−3).
det(Q)=−(23−a)(2a−3)=4(a−3)2
We set this equal to 9. This leads us to (a−3)2=36.
Here is where the trap lies. When you take the square root, you must account for both the positive and negative roots. Thus, a−3=6 or a−3=−6.
This gives us two possible values for our parameter: a=9 and a=−3. Do not discard either one! Both are valid realities of this matrix.
Phase 3
The Symmetric Reality
Now that we have our values for a, we turn our attention to P. Using the formula P=21(A+AT), we construct:
P=21([2a30]+[23a0])=21[4a+33+a0]=[22a+32a+30]
Again, notice the symmetry. The off-diagonal elements are identical. Now, let us find the determinant of P:
det(P)=(2)(0)−(2a+3)2=−4(a+3)2
This is our general expression for the determinant of the symmetric part. We have two cases to evaluate.
Phase 4
The Final Synthesis
For a=9, we have:
det(P)=−4(9+3)2=−4144=−36
For a=−3, we have:
The problem asks for the modulus of the sum of all possible values of the determinant of P. The sum is −36+0=−36.
The modulus of −36 is simply 36.
We have navigated the decomposition, respected the constraints, and arrived at the solution. Remember, in JEE Advanced, the math is rarely just about calculation; it is about understanding the structure. You have done exactly that. Keep this clarity, and you will conquer any matrix that comes your way.