Analyzing the Setup
Imagine you are standing on the complex plane, looking at a tiny, restricted region. This is the domain of our problem: ∣z∣<31.
Any complex number z we consider must live strictly inside this fence. It cannot touch the boundary; it is trapped in this small circle.
Our goal is to see if a polynomial sum ∑r=1narzr can ever reach the value of 1, given that the coefficients satisfy ∣ar∣<2.
The Law of the Land
The Triangle Inequality
To tackle this, we need a weapon: the Triangle Inequality. It states that the magnitude of a sum is always less than or equal to the sum of the individual magnitudes:
∣r=1∑narzr∣≤r=1∑n∣ar∣∣z∣r
Think of this as the shortest path principle. By taking the absolute value of the entire sum, we are essentially looking for the "worst-case scenario"—the maximum possible magnitude this sum could ever achieve.
The Geometric Progression
Our Secret Weapon
We know that ∣zr∣=∣z∣r. Substituting our given bounds ∣ar∣<2 and ∣z∣<31 into the inequality, we obtain:
∣r=1∑narzr∣<r=1∑n2⋅(31)r
Factoring out the constant 2, we are left with 2∑r=1n(31)r. This is a classic Geometric Progression (G.P.) with the first term a=31 and common ratio r=31.
The Final Victory
Using the G.P. sum formula Sn=1−ra(1−rn), we calculate the upper bound:
Simplifying the denominator 1−31=32, the expression becomes:
The fractions cancel out beautifully, as 2/31/3=21, and 2⋅21=1. We are left with the result:
Since n≥1, the term (31)n is always positive. Therefore, 1−(31)n is strictly less than 1.
We have proven that the magnitude of the sum is always strictly less than 1. It can never reach the target. The sum is trapped, and the proof is complete.