Sigma Percentile
JEE Advanced 2019
LEVELJEE Main

Animated Solution for Mathematics - Complex Numbers: Let be a cube root of unity. Then the minimum of the set equals

Enter Numerical Value:

Visualized Solution

The Given Expression

  • We need to minimize .
  • Here, is a complex cube root of unity ().
  • are distinct non-zero integers.

Modulus Squared Property

  • Recall the property:
  • Since , they are real numbers.

Conjugates of

  • For cube roots of unity: and
  • Therefore,

Expanding the Expression

Applying

  • Use the property:
  • This means

Grouping Terms

  • Grouping squares:
  • Grouping , , terms:

Sum of Roots of Unity

  • Recall:
  • Therefore,
  • Substituting this into our expression:

Simplified Expression

  • This is a purely real expression.
  • How do we find its minimum value?

Sum of Squares Form

  • Multiply and divide by :
  • Rearranging terms:

The Perfect Squares

  • Since squares are always non-negative, .
  • But we have constraints on .

Applying Constraints

  • Constraints:
  • are distinct and non-zero.
  • Since they are distinct, .
  • Therefore, , , .

Minimizing Differences

  • To minimize , we must minimize , , and .
  • For distinct integers, the minimum absolute difference is .
  • Let's try consecutive integers.
  • Example: .

Evaluating the Minimum

  • Let
  • Let
  • Then
  • Substitute into

Final Calculation

  • Checking constraints: Can we choose ?
  • Yes, they are distinct, non-zero integers.
  • Final Minimum Value = .

The Sigma Insight: Cube Roots and nth Roots of Unity

Solution Diagram

Analyzing the Setup

Welcome, future engineers. Today, we are not just solving a problem; we are peeling back the layers of a beautiful algebraic structure. We are looking at the expression , where is a complex cube root of unity.
At first glance, this looks like a daunting task involving complex numbers, but I want you to take a deep breath. In the world of JEE Advanced, complexity is often just a mask for hidden symmetry. Let us strip away that mask.

The Modulus Trick

When you see the modulus squared of a complex number, your first instinct should always be the fundamental identity: . This is our most powerful tool. Since and are integers, they are real.
When we take the conjugate of the entire expression, the bar only affects the complex parts, and . Recall that for cube roots of unity, and . This is a geometric necessity—they are reflections of each other across the real axis.
So, our expression becomes:

The Algebraic Alchemy

Now, we expand. I know, expanding a trinomial multiplied by a trinomial sounds tedious, but stay with me. We are looking for patterns.
When you multiply these out, you get nine terms. You will see , , , and various cross-terms like , , , , , and .
Here is where the magic happens. We know that . This is the defining characteristic of our cube roots. Suddenly, those and terms simplify beautifully to just and .
Our expression now looks like this:

The Elegant Simplification

Look at the term appearing everywhere. We know that . Therefore, .
This is the moment where the complex numbers vanish entirely, leaving us with a purely real, symmetric polynomial:
This is a classic form in algebra. To find its minimum, we need to see it as a sum of squares. We multiply and divide by to create the perfect squares:
By rearranging, we get:

The Trap of Constraints

We have arrived at the heart of the problem. We want to minimize . If there were no constraints, we would set to get .
But the problem explicitly states that and are distinct non-zero integers. This constraint is a gatekeeper. Because they are distinct, the differences , , and cannot be zero.
To minimize the sum of their squares, we must make these differences as small as possible. The smallest absolute difference between two distinct integers is .
Let us test the simplest case: consecutive integers. Let .
- - -
Substituting these into our formula:

Conclusion

We have navigated the complex plane, utilized the properties of unity, performed algebraic manipulation, and respected the constraints of the problem. The minimum value is 3.
This problem teaches us that even when a problem looks like it belongs in the realm of complex analysis, the path to the solution often lies in the elegance of real algebra. Keep practicing, keep visualizing, and most importantly, keep falling in love with the process.

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