What Math Topics Does 3Blue1Brown Cover?
Updated
3Blue1Brown covers a broad range of mathematics, from core undergraduate subjects to advanced and applied topics. According to the site's own topic list, the main areas are linear algebra, calculus, differential equations, and analysis, alongside neural networks, topology, fractals, group theory, probability, number theory, and geometry. It also branches into physics and computer science, and includes formats like puzzles, "Why Pi," Lockdown Math, guest videos, and talks.
Core Mathematics Topics
These are the foundational subjects most viewers associate with the channel:
- Linear algebra — often cited as one of the channel's signature series, built around visual intuition for vectors, matrices, and transformations.
- Calculus — covering the core ideas of derivatives, integrals, and their relationships.
- Differential equations — the mathematics of systems that change over time.
- Analysis — the more rigorous underpinning of calculus.
Advanced and Applied Topics
Beyond the core sequence, the site lists:
- Neural networks — the mathematics behind machine learning.
- Topology — the study of shapes and continuity.
- Fractals — self-similar structures and the math that generates them.
- Group theory — algebraic structures and symmetry.
- Probability — randomness and uncertainty.
- Number theory — properties of integers.
- Geometry — spatial reasoning and shapes.
Adjacent Fields
The channel also touches on subjects that sit next to pure mathematics:
- Physics — mathematical descriptions of physical systems.
- Computer science — algorithmic and computational ideas.
Special Series and Formats
The site organizes content into several recurring categories beyond standard topic series:
| Format | What it is |
|---|---|
| Puzzles | Problem-solving challenges |
| Why Pi | Content centered on the constant π |
| Lockdown Math | A series produced during lockdown |
| Guest videos | Lessons from other creators |
| Talks | Recorded presentations |
How to Decide Where to Start
If you want foundational intuition, start with linear algebra or calculus. If you're interested in machine learning, the neural networks series connects directly to that. If you prefer pure or abstract math, topology, group theory, and number theory are the relevant entry points. The site's Lessons section groups all of these, so you can browse by topic rather than following a fixed order.
Note that the site also lists a Patreon supporter option, which the page describes as giving early access to new videos and other perks. Pricing details are not specified on the page.