Analyzing the Setup
When you first look at this matrix, your instinct might be to expand it along the first row. Stop. Breathe. In JEE Advanced, brute force is the enemy of elegance.
If you try to expand this directly, you will drown in a sea of trigonometric products. Instead, let us look at the structure. We have sinθ, cosθ, and sin2θ in the first row.
In the second and third rows, we see these phase shifts of ±32π and ±34π. This is not random noise; it is a harmonic pattern.
The Master Equation
The key to unlocking this problem lies in the sum-to-product identities. Specifically, we need to recall the following identities:
2sinAcosB=sin(A+B)+sin(A−B)
2cosAcosB=cos(A+B)+cos(A−B)
Why does this matter? Because if we perform the row operation R2→R2+R3, we are essentially adding these phase-shifted terms together.
Executing the Transformation
Let us execute this operation. When we add the first elements of R2 and R3, we get sin(θ+32π)+sin(θ−32π).
Applying our identity, this becomes 2sinθcos(32π). Since cos(32π)=−21, the term simplifies to −sinθ.
Do you see the magic? The second row is becoming the negative of the first row. We repeat this for the second column, where cos(θ+32π)+cos(θ−32π) becomes 2cosθcos(32π), which simplifies to −cosθ.
Finally, for the third column, sin(2θ+34π)+sin(2θ−34π) becomes 2sin2θcos(34π), which is −sin2θ.
Conclusion
We have arrived at a row that is exactly −1 times the first row. In the language of linear algebra, these rows are linearly dependent.
The moment you have linearly dependent rows, the determinant collapses to zero. This is the beauty of mathematics—what seemed complex is revealed to be perfectly balanced.
Remember, whenever you see complex trigonometric arguments in a determinant, look for the symmetry. The problem is not asking you to calculate; it is asking you to observe.