One Long Tail
TERRITORY XVII

New Machinery

1828 - 1930
0 / 32 LESSONS0%
Builds on XVI · Cantor's Paradise
The Moment Problem: When Moments Determine Distributions
Lesson 505
The Law of the Iterated Logarithm
Lesson 514
Stochastic Convergence: Almost Sure, In Probability, In Distribution
Lesson 515
The Large Deviation Principle: How Unlikely Is Unlikely?
Lesson 521
The Characteristic Function: Probability's Secret Weapon
Lesson 523
Generating Functions: Sequences as Power Series
Lesson 569
Matrix Algebra: Cayley and Sylvester
Lesson 599
Determinants: One Number from Many
Lesson 600
Eigenvalues and Eigenvectors: The Skeleton of a Matrix
Lesson 601
The Spectral Theorem: Every Symmetric Matrix Has Real Eigenvalues
Lesson 602
Sylvester's Law of Inertia: Classifying Quadratic Forms
Lesson 603
The Concept of a Random Variable: Making Randomness Rigorous
Lesson 605
Vector Spaces: The Language of Linear Algebra
Lesson 607
Inner Products and Orthogonality
Lesson 608
The Gram-Schmidt Process: Making Vectors Perpendicular
Lesson 609
Green's Theorem: Connecting Line and Area Integrals
Lesson 614
Stokes' Theorem: The Grand Unification of Calculus
Lesson 615
Moment Generating Functions: Encoding Distributions
Lesson 617
Abstract Algebra: Mathematics of Structure
Lesson 618
Jordan Normal Form: The Canonical Matrix
Lesson 621
The Hessian Matrix: Second-Order Optimization
Lesson 622
Positive Definite Matrices: The Shape of Bowls
Lesson 623
The Divergence Theorem: Flux Through Surfaces
Lesson 624
Stirling Numbers: Counting Partitions and Permutations
Lesson 625
The Catalan Numbers: Counting Balanced Parentheses
Lesson 626
Linear Independence: When Vectors Don't Overlap
Lesson 627
The Rank-Nullity Theorem: Dimensions Must Add Up
Lesson 628
The QR Decomposition: Stable Least Squares
Lesson 632
The Pseudoinverse: Solving Overdetermined Systems
Lesson 634
The Professionalization of Mathematics
Lesson 636
From Enlightenment to Data: Mathematics Ready for Statistics
Lesson 637
The Mathematical Revolution of 1850: A Synthesis
Lesson 638