Analyzing the Setup
Imagine you are standing before a vast, structured landscape of matrices. You have a set S defined by A=[−10ab], where a and b are integers dancing between 1 and 100.
At first glance, this looks like a daunting combinatorial puzzle. How can we possibly find the intersection of one hundred different sets Tn?
Mathematics is not about brute force; it is about finding the hidden symmetry. Let us embark on this journey together.
The Power of A2
The condition for a matrix to be in Tn is An(n+1)=I. This looks intimidating, but let us start small by squaring the matrix.
We compute:
A2=[−10ab][−10ab]=[10a(b−1)b2]
Performing the row-by-column multiplication, the top-left element is (−1)(−1)+a(0)=1. The top-right element becomes (−1)(a)+a(b)=a(b−1).
The bottom-left is 0, and the bottom-right is b2. This is our first breakthrough; notice how the top-right element depends on (b−1). If b=1, that term vanishes entirely!
The Diagonal Constraint
Now, let us look at the diagonal elements. For any upper triangular matrix, raising it to a power k simply raises its diagonal entries to that power.
Thus, the bottom-right element of Ak is bk. Since we require An(n+1)=I, the diagonal elements of An(n+1) must be 1.
This forces bn(n+1)=1. Given that b is a positive integer between 1 and 100, the only possible value is b=1. If b were anything else, bn(n+1) would never be 1 for all n.
The Parity Insight
Now, let us revisit the exponent n(n+1). You might be worried about the complexity of this exponent, but remember your number theory: the product of any two consecutive integers is always even.
We can write
n(n+1)=2m for some integer
m. This means:
An(n+1)=A2m=(A2)m
We already know that if b=1, then A2=I. And what happens when you raise the identity matrix to any power m? It remains the identity matrix, as (I)m=I.
The condition is satisfied perfectly for every single n from 1 to 100.
The Final Count
We have arrived at the finish line. We discovered that for a matrix to be in the intersection of all Tn, it must satisfy b=1.
The variable a, however, is completely free. It can be any integer from 1 to 100.
Since there is only 1 choice for b and 100 choices for a, the total number of such matrices is 100×1=100. You have navigated the complexity, simplified the matrix, and found the elegant solution hidden within.
The final answer is 100.