Featured image of post Inclusion-Exclusion Principle: A Powerful Technique for Correctly Counting Elements in Overlapping Sets

Inclusion-Exclusion Principle: A Powerful Technique for Correctly Counting Elements in Overlapping Sets

An in-depth guide to the Inclusion-Exclusion Principle, an essential mathematical tool for accurately counting elements of multiple overlapping sets without duplication. We explain everything from the basic 2-set case to the general n-set case, using examples, proofs, and application examples.

Featured image of post Random Walk: Understanding the Mathematics of Diffusion and Brownian Motion from the Drunkard's Walk

Random Walk: Understanding the Mathematics of Diffusion and Brownian Motion from the Drunkard's Walk

A detailed explanation of the mathematical background of random walks (the drunkard's walk), from the basics to diffusion phenomena and Brownian motion. A definitive guide including Pólya's recurrence theorem and applications to financial engineering.

Featured image of post Affine and Projective Transformations: The Fusion of Linear Algebra and Geometry behind CG and Perspective

Affine and Projective Transformations: The Fusion of Linear Algebra and Geometry behind CG and Perspective

A detailed explanation of the mathematical foundations of affine and projective transformations, their expression using homogeneous coordinates, and applications in computer graphics and image processing.

Featured image of post Groups, Rings, and Fields: An Introduction to Modern Algebra Abstracting 'Structure' Itself

Groups, Rings, and Fields: An Introduction to Modern Algebra Abstracting 'Structure' Itself

In mathematics, 'algebra' evolved from methods for solving equations into the study of 'structures' woven by operations and sets. This article details the concepts of 'groups', 'rings', and 'fields', the foundations of modern algebra, with intuitive examples and rigorous definitions.

Featured image of post The Euclidean Algorithm: Fast GCD Calculation and Humanity's Oldest Algorithm from Antiquity

The Euclidean Algorithm: Fast GCD Calculation and Humanity's Oldest Algorithm from Antiquity

A comprehensive guide to the Euclidean Algorithm for calculating the Greatest Common Divisor (GCD), covering its mechanics, implementation, complexity, Lamé's theorem, the Extended Euclidean Algorithm, and its applications in RSA cryptography.

Featured image of post Diagonalization and Jordan Normal Form: The Ultimate Classification Method for Expressing Complex Matrices Simply

Diagonalization and Jordan Normal Form: The Ultimate Classification Method for Expressing Complex Matrices Simply

A detailed explanation of diagonalization in linear algebra and the Jordan normal form for non-diagonalizable matrices, covering intuitive meanings, mathematical definitions, and applications.

Featured image of post Geometric Meaning of the Determinant: More Than Just a Formula, It's the 'Volume Scale Factor' and 'Orientation Reversal'

Geometric Meaning of the Determinant: More Than Just a Formula, It's the 'Volume Scale Factor' and 'Orientation Reversal'

The determinant is not just a calculation formula, but an important geometric indicator of the volume scale factor and orientation reversal of space by linear transformations. In this article, we explain its intuitive meaning in detail with abundant diagrams and formulas.

Featured image of post Singular Value Decomposition (SVD): Decomposing Any Matrix into Rotations and Scaling for Data Compression and AI

Singular Value Decomposition (SVD): Decomposing Any Matrix into Rotations and Scaling for Data Compression and AI

A comprehensive guide to the mathematical foundations, geometric intuition, and applications of Singular Value Decomposition (SVD) in image compression and natural language processing.

Featured image of post Eigenvalues and Eigenvectors: Special Vectors That Don't Change Direction Under Matrix Transformations and Their Applications

Eigenvalues and Eigenvectors: Special Vectors That Don't Change Direction Under Matrix Transformations and Their Applications

A detailed explanation of eigenvalues and eigenvectors, one of the most important concepts in linear algebra, from their geometric meaning and specific calculation methods to applications in machine learning and physics. We aim for an intuitive understanding with Python implementation examples.