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Philosophy of Mathematics in Science

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Set Theory

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Forms the basis of all mathematics, leading to questions about the reality of mathematical entities and the nature of mathematical truth.

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Logic Gates

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Serves as the building blocks of digital circuits, representing the intersection of logic and physical reality in computation.

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Peano Axioms

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Represents foundational efforts to build mathematics from a set of basic truths, raising questions about the objectivity and certainty of mathematical knowledge.

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Probability

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Challenges determinism and introduces chance as a fundamental component in the natural laws, affecting scientific explanations.

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Goedel's Incompleteness Theorems

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Shows the limitations of formal systems and the nature of mathematical truth that cannot be captured by axioms within the system.

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Number Theory

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Explores the abstract properties of numbers, raising questions about the nature and existence of mathematical objects without physical form.

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Infinity

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Represents the uncapturable by finite means, questioning the nature of existence and the infinite regress in causality.

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Calculus

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Highlights the relationship between the finite and the infinite, continuity, and the implications of change over time.

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Turing Machines

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Exemplifies the concept of algorithm or mechanical procedure, leading to foundational debates on the limits of computation and artificial intelligence.

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Measure Theory

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Provides a framework for integrating concepts of size and distance, questioning how we quantify and compare different infinities.

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The Axiom of Choice

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Introduces philosophical debates on the nature of choosing and existential quantification in math, which parallels free will discussions.

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Mathematical Proof

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Embodies the quest for certainty and the idea that absolute proof is possible, providing a measure of truth in the sciences.

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Hyperbolic Geometry

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Explores the properties of space that diverge from our intuitive axioms, impacting our understanding of space and reality.

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Non-Euclidean Geometry

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Challenges the self-evident nature of geometrical axioms and introduces the relativity of space, influencing theories of the universe's structure.

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Algorithms

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Raises questions about the nature of procedures and computability, ultimately affecting our understanding of the limitations of scientific computation.

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Groups and Symmetry

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Reflects on the fundamental structures underlying physical systems and the beauty and harmony in nature.

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Model Theory

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Engages with the applicability and effectiveness of mathematics in describing the world, touching on the 'unreasonable effectiveness' problem.

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Complex Numbers

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Challenges our conceptions of 'number' and shows how extension of fundamental concepts leads to richer mathematical landscapes.

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The P vs NP Problem

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Addresses the computationally complex nature of problems and the distinction between knowing and finding solutions, analogous to epistemic themes.

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Functions

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Depicts mathematical relationships and dependencies, illustrating how scientific laws often rely on functional dependencies.

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