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Exploring Geometric Series and Their Connection to Singularity

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Chapter 1: Understanding Geometric Series

Geometric series provide a vital entry point into the concept of infinity within mathematics. This narrative is a part of "Infinity: The Math Odyssey," which discusses early formal methods for exploring infinity, particularly through series — the process of summing quantities infinitely that can converge to a finite value.

The development of telescoping series led to the fundamental theorem of calculus, while geometric series serve as an ideal foundation for studying singularities. The recursive nature of geometric series closely ties them to the notion of infinity and singularity.

Motivation: My interest in the intersection of singularity and generating functions compels me to delve deeper into geometric series, hence the creation of this narrative.

Section 1.1: Introduction to Geometric Series

What exactly is a number? Take 2, for example; it symbolizes a quantity representing the sum of unity counted twice. But what if we define 2 through a series, employing infinite summation? This notion resembles Zeno's paradox, where we continually halve a quantity.

For instance, breaking down 2 yields 1, then halving again gives 1/2, and this continues until we reach infinitesimal values approaching zero. Yet, we know that the result ultimately equals 2, constructed from its fractional components.

This illustrates the nature of a geometric series, where each subsequent term is a constant fraction of the preceding one. In this case, the ratio is 0.5 (or 1/2). This concept can be generalized for any proportion by utilizing its power notation:

To derive a formula that computes the result of this series, we can factor from x¹(1+x+x²+…).

To demonstrate the recursive behavior, we recognize that we can isolate S again on the right side, allowing for straightforward factorization.

Upon performing the necessary algebra, we arrive at our conclusion.

Section 1.2: The Concept of Singularity

A pole, frequently mentioned, refers to a point where a function diverges or becomes undefined. For example, with the function 1/(1-x), it becomes undefined at x=1. We can also interpret poles as the roots of the denominator.

While other singularities exist in mathematics, my focus here is on poles, a specific type of analytical singularity that allows for deeper analysis. Analytical functions can often be expressed as polynomial functions, extended to include non-analytical functions, leading us to meromorphic functions.

Meromorphic functions consist of both numerators and denominators that are analytic, thereby circumventing the complications of division by zero. Ironically, our interest in zero division becomes central to future discussions.

Poles signify the roots of the polynomial h(x), where h(x)=0, and these points are known as the singularities of the function f(x). While traditionally avoided in real analysis, in complex analysis, we replace 'undefined' with valuable residue information.

Poles are singularities with residues derived from Cauchy's residue theorem, providing a fascinating area of study. Importantly, a singularity can be represented as a sequence under different bases, exemplified by x^n or the Taylor series bases.

Spoiler: What if we consider the sum of the series 1+2+4+8+16+…? This equivalence suggests the sum equals -1. While this claim may seem outlandish, it will be clarified in future discussions involving p-adic numbers and transfinites.

Section 1.3: Generating Functions

Generating functions can be constructed in two ways: absolute indexing and recursive indexing. For instance, in the Fibonacci sequence, one can derive a term by summing the previous two or applying a formula to find a term directly.

A singularity like 1/(1-x) embodies a sequence represented as [1,1,1,1,…]. The coefficients of the Taylor series correspond to this sequence. Here, we enter a new domain where x^n serves as the base and coefficients represent the values.

To facilitate future applications, we will introduce the dot product concept: if we have two vectors, one filled with ones and the other with x^n, the dot product would yield a cumulative result.

Our sequence can be recursively defined, aligning with the earlier discussion on generating functions, where the function mirrors itself but shifted by one step.

The recursive formulation highlights how the geometric sequence operates, where each subsequent number equals the last: [1,1,1,1,…].

Chapter 2: The Relationship Between Recursivity, Singularity, and Time

The first video titled "Finding The Sum of an Infinite Geometric Series" provides an informative overview of this topic, elucidating how infinite series can converge to specific sums.

The second video, "Infinite Geometric Series & Intro to Limits in Calculus - Part 1," introduces fundamental concepts of limits in calculus and their relation to infinite geometric series.

In this exploration, we confront the complexities of infinity, examining how geometric transformations can reshape our understanding. Imagine a line of people extending infinitely; can one identify the end of this line? This concept, known as the vanishing point in photography, suggests that perspective can alter our perception of infinity.

In conclusion, sequences are central to our study. The geometric series formula allows us to express a sequence [1,1,1,1,…] as 1/(1-x), revealing its pole at x=1. This connects to our earlier discussions about how any sequence can be represented as a Taylor series or recursive sequence derived from its poles.

Warnings

It's important to note that series have defined convergence and divergence zones, which I may elaborate on later. This distinction is significant because, while adding 1+2+4+8+… might seem counterintuitive, it aligns perfectly within the mathematical framework—especially when viewed through the lens of p-adic numbers.

Also, the numerator of the generating function being zero instead of one signifies an absence of input. If we begin with one, it indicates a delta Dirac input, representing the system's response to an initial condition.

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