25 Mathematical Explainers to Explore: Summer of Math Exposition 3

A tour of videos, articles and interactive tools, with five selected winners.

Chaîne
3Blue1Brown
Publié
7 oct. 2023
Vidéo
22:12
Lecture
4 min
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

3Blue1Brown reviews 25 entries from the third Summer of Math Exposition, explaining their topics and audiences before announcing five winners. The original video description links to the complete video playlist and non-video collection.

  1. 1Explanations have audiencesA resource can be excellent for a particular audience without being universal.
  2. 2Keep a backburner problemPersonal curiosity can connect new mathematical ideas to a question you care about.
  3. 3Minimal surfacesA soap-film problem motivates the calculus of variations.
  4. 4Find the right problemThe string-art entry emphasizes framing as well as solution techniques.
  5. 5Five selected winnersThe winners span video and interactive or written resources.

À retenir

  1. A mathematical explanation is often most effective for a specific audience.
  2. The selections use video, articles, interactive tools and physical demonstrations.
  3. A personal backburner problem can connect abstract ideas to lasting curiosity.
  4. The five winners cover string art, minimal surfaces, the real line, pixel art and computer number representation.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

A contest for explanations

The presenter introduces the event and the importance of a target audience.

The third Summer of Math Exposition invited people to publish mathematical explanations in any medium. Its goal is more good explanations online, not merely a list of winners. In this video I highlight 25 entries and explain what makes each useful to its intended audience.

Judging is difficult because an excellent explanation is often excellent for a particular audience. The internet can serve specialized audiences especially well, even when an entry assumes knowledge that a general viewer might not have.

02

Graphics, physics and algebra

Entries explore pixel art, audio, group theory and linear algebra.

Pixel Art Anti-Aliasing explores displaying low-resolution pixel art in a high-resolution 3D environment. Its mathematical motivation can interest a general viewer, but graphics and shader programmers are an especially good audience.

The Math of Saving the Enola Gay examines a plane’s route after dropping a nuclear weapon. The author acknowledges the moral issues; I highlight the detailed physics worked example, which could be useful in a classroom.

Making a Pitch Shifter works through techniques for shifting pitch or changing playback speed without changing pitch, including code and limitations of initial approaches.

Cayley Graphs and Pretty Things is a non-video resource especially useful to group theory students. Its visual explanation of the semidirect product gives a mental picture for a concept that can be difficult in a textbook.

The Longest Increasing Subsequence asks what length to expect for the longest increasing subsequence of a random permutation. Its clear, distinctive presentation motivates surprising techniques for a mathematically curious audience.

Matrix Arcade covers linear-algebra ideas in an interactive format. Even where its topics overlap familiar lessons, the illustrations, text and playground add a useful resource for teachers and learners.

Watching Neural Networks Learn uses visualizations of learning and considers how the choice of features affects a network learning a two-dimensional image. I especially liked the discussion of why Fourier features can improve the result in that setting.

Functions Are Vectors is a thorough article for making the conceptual transition from viewing functions as formulas to viewing them as vectors. The Art of Linear Programming begins with a simple nontrivial example and builds toward more general cases.

03

Curiosity and mathematical problems

Personal problems lead into optimization, analysis and geometry.

The Mosaic Problem uses a personal “backburner problem” to show how curiosity can give context to new mathematics. A problem need not be important to everyone: returning to it while learning can make ideas such as generating functions and inclusion–exclusion meaningful.

Affording a Planet with Geometry uses clay animation to explore what shape a planet might take to provide a desired gravitational experience without using too much mass. It turns an unusual premise into an optimization problem.

When Can’t Math Be Generalized? explains limits of analytic continuation: sometimes a function defined in one domain cannot be extended in the relevant sense. I recommend it especially to students encountering complex analysis.

Rotation + Translation = Rotation illustrates why a nonzero rotation combined with a translation can be expressed as a rotation about some point. A pure translation with zero rotation is the important exception; the proof uses a memorable game-like framing.

Rethinking the Real Line presents connected ways to visualize rational numbers and rational approximations of irrational numbers. Its natural delivery and dense set of ideas make it particularly rewarding for readers already curious about those topics.

An explainer on Egyptian volumes asks how the volume of a truncated pyramid might be found without modern algebraic notation and manipulation. The historical framing makes familiar formulas feel less automatic.

04

Physics, computation and geometry

The selections include motion, minimal surfaces, logarithms and shadows.

A circular-motion video begins with a ball released from a rope and asks which path it follows. Its hook challenges an intuitive answer and then uses explanation and experiment to investigate.

Minimal Surfaces and the Calculus of Variations studies the shape of a soap film between two circular boundaries. It introduces a general method for optimizing functions and gives viewers room to pause over the details.

A non-video explanation of computing logarithms discusses Taylor series and why a naive approach may be inadequate. Another entry follows the mediant, formed by adding numerators and denominators, into rational approximations and related mathematics; it is not ordinary fraction addition.

The Shadow Game asks whether a three-dimensional shape can be reconstructed from shadows in several directions; square shadows need not imply a cube. Chasing Fixed Points presents fixed-point theorems with a distinctive style that incorporates outdoor settings.

05

Representation, string art and winners

The video ends with floating point, image reconstruction and the five winners.

How Computers Use Numbers explains floating-point representation through a sequence of attempted designs. Each imperfect idea motivates the next, making apparently arbitrary choices easier to understand.

Mathematical Magic Mirror Ball shows how an image of a spherical mirror can help reconstruct a 360-degree view, including the uses and tradeoffs of the approach.

The Mathematics of String Art follows the construction of a machine that winds thread around pegs to reproduce images through varying line density. Its experiments show that finding the right formulation of a problem can matter more than applying an elegant technique to the wrong formulation.

A final illustrated entry explores different meanings of infinity and the relationships among them. I appreciate both its visual style and its compact treatment of large ideas.

The selected winners are The Mathematics of String Art, Minimal Surfaces and the Calculus of Variations, Rethinking the Real Line, Pixel Art Anti-Aliasing, and the non-video How Computers Use Numbers. The video description links to the full video playlist and the non-video collection.

I thank organizer James Schloss, web developer Frédéric Crozatier, sponsor Jane Street, the guest judges, peer reviewers and all the creators. Many worthwhile submissions are not covered in this video, so the collections are worth exploring.

Sur la même chaîne

20 diapositives40:44EN
3Blue1Brown· 16 oct. 2026Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.MathematicsAI for scienceHuman-AI Collaboration+2
29 diapositives51:55EN
3Blue1Brown· 18 sept. 2026The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.MathematicsAI researchReasoning & test-time compute+2
0:55EN
3Blue1Brown· 24 juil. 2026The 64 Sugar Cubes Puzzle: Six Equal DistancesA 4×4×4 block has three colors; prove that six same-colored pairs share a distance.MathematicsEducation
33:51EN
3Blue1Brown· 16 juil. 2026What Cross-Entropy Connects: Compression, Language Models and KL DivergenceGrant Sanderson · 3Blue1BrownGrant Sanderson builds cross-entropy from code lengths and uses it to explain next-token training and distillation.MathematicsMachine LearningFoundation Models+1
Diapositives2:25EN
3Blue1Brown· 12 juin 2026How Shannon Measured the Entropy of EnglishA guessing game helped Claude Shannon estimate how much information English text contains, and why prediction is central to compression.MathematicsAI History
Diapositives1:02EN
3Blue1Brown· 10 juin 2026A Robot Walk and the Puzzle of Optimal Binary EncodingHow few bits does it take to send directions that occur with unequal frequencies?MathematicsScience Communication