Proof of Uniform Distribution

Oct 13, 2025 by wbrum.org 135 views

Introduction

In the realm of complex analysis, the concept of density plays a crucial role in understanding the properties of sets within a given space. The unit circle, defined as the set of all complex numbers with a magnitude of 1, is a fundamental object of study in this field. In this article, we will delve into the problem of showing that a certain set, defined by the sequence $\{\lambda_n\}_n$ , is dense in the unit circle. This problem is a classic example of an application of the concept of density in complex analysis.

Background and Notation

Before we proceed, let's establish some notation and background information. The unit circle is denoted by $\{|z|=1\}$ , where $z$ is a complex number. The sequence $\{\lambda_n\}_n$ is defined as $\lambda_n := e^{i\left(1+\frac{1}{2}+ .. + \frac{1}{n}\right)}$ . We will also use the notation $e^{i\theta}$ to represent the complex exponential function, where $\theta$ is the argument of the complex number.

The Problem

The problem at hand is to show that the set $\{\lambda_n\}_n$ is dense in the unit circle. In other words, we need to prove that for any complex number $z$ on the unit circle, there exists a sequence $\{\lambda_n\}_n$ that converges to $z$ . This is a classic problem in complex analysis, and it has numerous applications in various fields, including functional analysis and harmonic analysis.

Approach

To approach this problem, we will first show that the sequence $\{\lambda_n\}_n$ is uniformly distributed on the unit circle. This means that the sequence will visit every point on the unit circle with equal frequency. We will then use this result to show that the sequence is dense in the unit circle.

Uniform Distribution

To show that the sequence $\{\lambda_n\}_n$ is uniformly distributed on the unit circle, we need to prove that the sequence visits every point on the unit circle with equal frequency. This can be done by showing that the sequence satisfies the following property:

\lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n \lambda_k = 0

This property is known as the "uniform distribution" property, and it is a fundamental concept in complex analysis.

Proof of Uniform Distribution

To prove the uniform distribution property, we will use the following argument:

\begin{aligned} \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n \lambda_k &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(1+\frac{1}{2}+ .. + \frac{1}{k}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k(k+1)}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2+k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}+\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac{1}{n} \sum_{k=1}^n e^{i\left(\frac{k^2}{2}\right)} e^{i\left(\frac{k}{2}\right)} \\ &= \lim_{n\to\infty} \frac<br/> **Certain Set Dense in the Unit Circle** =====================================================

Q&A

Q: What is the problem at hand?

A: The problem at hand is to show that the set $\{\lambda_n\}_n$ is dense in the unit circle. In other words, we need to prove that for any complex number $z$ on the unit circle, there exists a sequence $\{\lambda_n\}_n$ that converges to $z$ .

Q: What is the sequence $\{\lambda_n\}_n$ ?

A: The sequence $\{\lambda_n\}_n$ is defined as $\lambda_n := e^{i\left(1+\frac{1}{2}+ .. + \frac{1}{n}\right)}$ . This sequence is a complex exponential function, where the argument is a sum of fractions.

Q: Why is the sequence $\{\lambda_n\}_n$ important?

A: The sequence $\{\lambda_n\}_n$ is important because it is a fundamental object of study in complex analysis. The problem of showing that this sequence is dense in the unit circle has numerous applications in various fields, including functional analysis and harmonic analysis.

Q: What is the concept of density in complex analysis?

A: In complex analysis, the concept of density refers to the idea that a set is "dense" in another set if every point in the second set is a limit point of the first set. In other words, a set is dense in another set if it contains a sequence that converges to every point in the second set.

Q: How do we show that the sequence $\{\lambda_n\}_n$ is dense in the unit circle?

A: To show that the sequence $\{\lambda_n\}_n$ is dense in the unit circle, we need to prove that for any complex number $z$ on the unit circle, there exists a sequence $\{\lambda_n\}_n$ that converges to $z$ . We can do this by showing that the sequence $\{\lambda_n\}_n$ is uniformly distributed on the unit circle.

Q: What is the concept of uniform distribution in complex analysis?

A: In complex analysis, the concept of uniform distribution refers to the idea that a sequence is "uniformly distributed" on a set if it visits every point on the set with equal frequency. In other words, a sequence is uniformly distributed on a set if the average value of the sequence over the set is zero.

Q: How do we show that the sequence $\{\lambda_n\}_n$ is uniformly distributed on the unit circle?

A: To show that the sequence $\{\lambda_n\}_n$ is uniformly distributed on the unit circle, we need to prove that the average value of the sequence over the unit circle is zero. We can do this by showing that the sequence satisfies the following property: