Analyzing the Setup
When you encounter a matrix like
do not panic. Your eyes should immediately recognize these as the sine and cosine values of
30∘. This is a standard
rotation matrix.
The first step in our journey is to verify its orthogonality. By calculating PPT, we find it equals the identity matrix I. This property is our golden key.
The Master Equation
Now, consider the expression Q=PAPT. This is a similarity transformation. When we raise Q to the power of 2007, we are essentially sandwiching A between P and PT repeatedly.
Because
PTP=I, the inner terms collapse like a house of cards:
Q2=(PAPT)(PAPT)=PA(PTP)APT=PA2PT
By induction, we can generalize this to:
Q2007=PA2007PT
Now, the final expression
PTQ2007P simplifies significantly:
PT(PA2007PT)P=(PTP)A2007(PTP)=IA2007I=A2007
Pattern Recognition
Now, examine the matrix
A=[1011]. Let us calculate the first few powers:
A2=[1021],A3=[1031]
The pattern is undeniable. For any integer
n:
An=[10n1]
Thus, for our specific case:
A2007=[1020071]
Final Calculation
Comparing this result to the general form [acbd], we identify the components:
a=1,b=2007,c=0,d=1
The final calculation
2a+b−3c−4d becomes:
2(1)+2007−3(0)−4(1)=2+2007−4=2005
The final answer is 2005.
This problem teaches us that in the world of JEE Advanced, brute force is rarely the answer. Instead, we look for the underlying structure—the rotation, the similarity, and the pattern. When you see a matrix power, do not reach for the calculator; reach for the pattern.