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 E=∣a+bω+cω2∣2, where ω 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: ∣z∣2=z⋅zˉ. This is our most powerful tool. Since a,b, and c are integers, they are real.
When we take the conjugate of the entire expression, the bar only affects the complex parts, ω and ω2. Recall that for cube roots of unity, ωˉ=ω2 and ω2=ω. 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 a2, b2ω3, c2ω3, and various cross-terms like abω2, acω, abω, bcω2, acω2, and bcω.
Here is where the magic happens. We know that ω3=1. This is the defining characteristic of our cube roots. Suddenly, those b2ω3 and c2ω3 terms simplify beautifully to just b2 and c2.
Our expression now looks like this:
E=a2+b2+c2+ab(ω+ω2)+bc(ω+ω2)+ca(ω+ω2)
The Elegant Simplification
Look at the term (ω+ω2) appearing everywhere. We know that 1+ω+ω2=0. Therefore, ω+ω2=−1.
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 2 to create the perfect squares:
E=21[2a2+2b2+2c2−2ab−2bc−2ca]
By rearranging, we get:
E=21[(a−b)2+(b−c)2+(c−a)2]
The Trap of Constraints
We have arrived at the heart of the problem. We want to minimize E. If there were no constraints, we would set a=b=c to get E=0.
But the problem explicitly states that a,b, and c are distinct non-zero integers. This constraint is a gatekeeper. Because they are distinct, the differences (a−b), (b−c), and (c−a) 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 1.
Let us test the simplest case: consecutive integers. Let a=1,b=2,c=3.
- (a−b)=1−2=−1
- (b−c)=2−3=−1
- (c−a)=3−1=2
Substituting these into our formula:
E=21[(−1)2+(−1)2+(2)2]=21[1+1+4]=21[6]=3
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.