Ümit Arslan

Fractal Analysis – 3 Lecture Notes Visuals

CONTENTS: Fractal Taylor Series Visual Fractal Taylor In this diagram, the fractal extension of the classical Taylor expansion is visualized, where derivative terms become scale-dependent through self-similar modulations. Fractal Laplace Transform Visual This graph shows the fractal extension of the classical Laplace transform: damping behavior on the amplitude axis and self-similar resonances on the frequency

Fractal Analysis – 3 Lecture Notes

Fractal series expansions are the redefined forms of classical Taylor, Maclaurin, and Fourier series using the principle of self-similarity. The aim here is to capture not only the local behavior of functions but also their fractal resonances that repeat at every scale.

Universal Fractal Beginning Theory

Fractal Beginning Axiom System 1. Beginning Constant Axiom ∀𝑋 ∈ 𝒰, ∃! 𝐵(𝑋) Every system has a singular, unmultipliable, and irreducible beginning. 2. Reduction Axiom 𝑥/0 = 1 ⇒ 𝑥 ↦ 𝐵 Every mathematical expression is reduced to the beginning. 3. Fractal Evolution Axiom 𝐵(𝑋) ⇒ {𝑌1, 𝑌2, … , 𝑌∞} The beginning is singular,

Quantum Fractal Analysis 2 – Lecture Notes

In quantum fractal analysis, potential functions are the extension of classical quantum potential energy with fractal scale dependence. The aim is to model energy resonances at both micro and macro levels by analyzing the probability waves of particles within a fractal space-time structure.

Quantum Fractal Analysis 1 – Lecture Notes

While defined by self-similarity and scale invariance in classical mathematics, the quantum fractal exponential function combines this structure with quantum wave functions, revealing fractal resonance in probability distributions. The side-by-side graphs in the visual show a comparative view of the deterministic repetition of the classical fractal exponential function and the wave-particle interactive, luminous fractal structure of its quantum version.

Fractal Analysis – 2 Lecture Notes

7- Let’s expand the fractal analysis chain with fractal probability distributions (𝑷𝒇). This is a motif-repeating, multi-scale version of classical probability theory and provides entirely new definitions for uncertainty, risk, and variational systems. Classical Probability Distribution The classical probability density for a random variable 𝑋: 𝑃(𝑥) ≥ 0, ∫-∞∞ 𝑃(𝑥) 𝑑𝑥 = 1 It is a