Sigma Percentile
JEE Advanced 2001
LEVELJEE Main

Animated Solution for Mathematics - Matrices and Determinants: Let be real numbers with . Show that the equation represents a straight line.

Visualized Solution

The Given Determinant

  • Given:
  • Equation:
  • Goal: Prove this represents a straight line.

Strategic Row Operation

  • We need to simplify the first row.
  • Apply row operation:
  • To maintain equality, divide the determinant by .

Calculating the First Element

  • Let's compute the new first element of .
  • Expanding:

Simplifying Row 1

  • Canceling terms:
  • Since ,
  • Similarly, and

Cleaning Up Rows 2 and 3

  • Now, let's use the simplified to clean up and .
  • Apply operations:
  • Apply operations:

The Simplified Determinant

  • New : , ,
  • New : , ,
  • The determinant is now much simpler to expand.

Expansion Phase

  • Expand the determinant along :

Algebraic Simplification

  • Expanding the terms inside the brackets carefully.
  • We get:
  • Notice that is a common factor in every single term!

Factoring the Equation

  • After factoring out , we group the terms.
  • Grouping yields:

Conclusion: A Straight Line

  • We have
  • For real ,
  • Thus,
  • Therefore, , which is the equation of a straight line.

The Sigma Insight: Properties of Determinants

Solution Diagram

Analyzing the Setup

Imagine you are sitting in the exam hall. You turn the page, and there it is: a determinant filled with variables and . It looks like a chaotic mess of terms.
Your first instinct might be to panic, to start expanding it blindly, hoping that the terms will somehow cancel out. But take a deep breath. In JEE Advanced, complexity is rarely the goal; it is a test of your ability to see the underlying structure.

The Strategic Strike

We are given the condition . This is not just a constraint; it is a hint. It screams of vector normalization.
We need to simplify the determinant, and the best way to do that is through row operations. We apply the operation .
Why this specific operation? Because the coefficients and are perfectly aligned with the structure of the elements in the determinant.
But remember, we are changing the determinant's value by multiplying the first row by . To keep the equation valid, we must divide the entire determinant by . We are essentially performing a surgical strike on the matrix, simplifying it while keeping the balance of the equation intact.

The Magic of Cancellation

Now, let's look at the first element, . When we compute , something beautiful happens. Let's expand it:
Look closely. The and cancel out. The and vanish. We are left with .
And because our given condition is , this entire expression collapses into just .
This is the moment where the problem stops being a chore and starts being art. By repeating this logic for the other elements in the first row, we find that the row transforms into . The monster has been tamed.

Cleaning the House

With our new, clean first row, the rest of the determinant becomes vulnerable. We can now use to eliminate the terms in the second and third rows.
We apply and .
This is the 'cleanup' phase. We are systematically removing the clutter. After these operations, the determinant looks significantly lighter. We are no longer fighting the algebra; we are guiding it.

The Final Collapse

Now, we expand the determinant along the first row. Yes, it is still algebra, but it is controlled, predictable algebra.
As we expand, we get a long polynomial. But look at every single term. There is an in every one of them! We factor out the , and it cancels perfectly with the we placed outside the determinant earlier.
What remains is the final, elegant factorization:

The Conclusion

A Straight Line
We are left with a product of two factors equal to zero. We know that for any real numbers and , the term is always greater than or equal to .
It can never be zero. Therefore, the only way for the product to be zero is if the second factor is zero:
And there it is. The equation of a straight line. We started with a terrifying matrix and ended with the most fundamental shape in geometry.
This is the beauty of mathematics—no matter how complex the problem appears, there is always a path to simplicity if you look for the underlying structure. You didn't just solve a problem; you decoded it.

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