HACKER TUBES / 재생목록
Mathematics you can see
Vectors, determinants, eigenvectors, and Fourier analysis explained through pictures and geometric intuition.
7 개 영상 · 2 시간 9 분
시청 시작추천 시청 순서
동영상을 선택하세요. 시청 페이지에서 이전 및 다음 링크로 계속 볼 수 있습니다.
- 01

Vectors | Chapter 1, Essence of linear algebra
3Blue1Brown · 17 개의 HN 추천The first chapter of 3Blue1Brown's Essence of Linear Algebra series, introducing vectors with animated geometric visuals. It begins a series that builds intuition for linear algebra from the basics.
- 02

The determinant | Chapter 6, Essence of linear algebra
3Blue1Brown · 6 개의 HN 추천A 10-minute 3Blue1Brown chapter explaining the determinant as the factor by which a linear transformation scales area or volume. It builds the idea geometrically with animations before any formulas.
- 03

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
3Blue1Brown · 6 개의 HN 추천3Blue1Brown's chapter on eigenvectors and eigenvalues in the Essence of Linear Algebra series. It builds a visual intuition for what they mean, why an eigenbasis is useful, and ends with a puzzle.
- 04

But what is a Fourier series? From heat flow to drawing with circles | DE4
3Blue1Brown · 4 개의 HN 추천3Blue1Brown introduces Fourier series, from the heat equation to drawing arbitrary shapes with rotating circles. It builds a visual intuition for decomposing functions into sine waves.
- 05

But what is the Fourier Transform? A visual introduction.
3Blue1Brown · 16 개의 HN 추천3Blue1Brown's animated visual introduction to the Fourier Transform, showing how a signal breaks into frequency components.
- 06

The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever?
Reducible · 7 개의 HN 추천Reducible's visual walkthrough of the Fast Fourier Transform, motivated by polynomial multiplication. It shows how the FFT's key ideas can be discovered by asking the right questions.
- 07

The more general uncertainty principle, regarding Fourier transforms
3Blue1Brown · 7 개의 HN 추천3Blue1Brown shows how the uncertainty principle arises from Fourier transforms. A wave packet cannot be narrow in both position and frequency, so the principle is a property of waves rather than of measurement.