Key Takeaway: For matrices with ±1 on the diagonal, computing A2 and A4 often reveals a predictable pattern.
Note: Since k=10 is even, our assumption of the even power pattern was perfectly valid.
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The Sigma Insight: Algebraic Operations on Matrices
Analyzing the Setup
Imagine standing before this matrix:
A=−10021036−1
It looks like a standard 3×3 matrix, but observe the lower triangle—it is filled with zeros. This is an upper triangular matrix, and in the context of JEE Advanced, this is a significant hint. It implies that the matrix is "well-behaved" under multiplication.
We are tasked to find k such that XTAkX=33, where X=[1,1,1]T. The term Ak is the core of the problem. Do not be tempted to multiply A by itself k times; instead, we must identify a pattern.
The Pattern Hunt
Let us calculate A2. When we multiply A by itself, the diagonal elements become 1, and the off-diagonal elements simplify significantly:
A2=100010601
Notice how close this is to the identity matrix I. It is almost I, except for the 6 in the top-right corner.
Now, let us calculate A4 by multiplying A2 with A2. Because A2 is so close to the identity, the multiplication is trivial. The diagonal remains 1, and the top-right element becomes 12.
The pattern is emerging: for k=2, the element is 6 (which is 3×2); for k=4, the element is 12 (which is 3×4).
The Generalization
We can now confidently generalize. For any even natural number k, the matrix Ak takes the form:
Ak=1000103k01
This is the power of pattern recognition. We have reduced a complex matrix power to a simple algebraic expression involving k. This transformation is the "soul" of the problem.
The Final Calculation
Now, we return to the original equation: XTAkX=33. We know XT=[1,1,1] and X=[1,1,1]T.
First, let us compute AkX:
1000103k01111=1+3k11
Finally, we multiply this result by XT on the left:
[1,1,1]1+3k11=(1)(1+3k)+(1)(1)+(1)(1)=3k+3
Setting this equal to 33, we get 3k+3=33, which simplifies to 3k=30. Thus, the final result is: