Sigma Percentile
JEE Advanced 2000
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Prove that for all values of , .

Visualized Solution

Analyzing the Determinant

  • Let the given determinant be .
  • Observe the elements of , , and .
  • Notice the phase shifts of and .

The Sum-to-Product Identities

  • We will use the trigonometric identities:

Applying Row Operation

  • Let's perform the row operation: .
  • We will add the corresponding elements of the third row to the second row.

Simplifying the First Element

  • New .
  • Using the identity, this becomes .

Simplifying the Second Element

  • New .
  • Using the identity, this becomes .

Simplifying the Third Element

  • New .
  • Using the identity, this becomes .

Evaluating Trigonometric Constants

  • We need the values of and .
  • Let's look at the unit circle to determine their exact values.

Finding the Cosine Values

  • is (Quadrant II).
  • is (Quadrant III).
  • Both have a reference angle of ().
  • Therefore, and .

Substituting the Constants into

  • Substitute into the new .
  • .
  • .
  • .

Conclusion: Determinant

  • The modified is exactly .
  • This means , or the rows are linearly dependent.
  • By the properties of determinants, if two rows are proportional, the determinant is zero.
  • Hence, .

The Sigma Insight: Properties of Determinants

Solution Diagram

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 , , and in the first row.
In the second and third rows, we see these phase shifts of and . 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:
Why does this matter? Because if we perform the row operation , we are essentially adding these phase-shifted terms together.

Executing the Transformation

Let us execute this operation. When we add the first elements of and , we get .
Applying our identity, this becomes . Since , the term simplifies to .
Do you see the magic? The second row is becoming the negative of the first row. We repeat this for the second column, where becomes , which simplifies to .
Finally, for the third column, becomes , which is .

Conclusion

We have arrived at a row that is exactly 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.

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