Cantor's set theory
Cantor's set theory is deeply connected to information theory, Turing's computation theory, and the mathematical framework of quantum mechanics. First, Cantor's diagonal argument was applied by Turing to demonstrate the limits of computability. In proving the "halting problem," Turing used Cantor's concept of infinite sets to show the existence of uncomputable numbers. This laid the foundation for modern algorithm theory and computational theory.
In information theory, Shannon formulated information entropy by combining set theory with probability theory. Cantor's set theory allowed for a rigorous treatment of continuous information, contributing to the development of communication theory and cryptography.
Furthermore, in quantum mechanics, Cantor's ideas about infinite sets became the foundation for Hilbert space, enabling the mathematical representation of quantum states. Concepts such as entanglement and superposition rely on infinite-dimensional spaces, which would be impossible to describe without set theory. These ideas also extend to quantum computing and quantum information science.
Thus, Cantor's set theory structured the concept of infinity mathematically, playing an essential role in the development of computation theory, information theory, and quantum mechanics.