Lecture 17 · Mathematics

From a card window to a directed edge

Video in production

This lecture is still face down. Its script is written; filming and animation are under way.

Meanwhile, read the outline

What you will learn

Translate overlapping binary windows into edges of a directed graph and back without confusing vertices with edges.

Before this lecture

Ideas you will use

  • Binary cycles

In this lecture

An outline of the lecture, scene by scene, with the statements that appear on screen. It follows the draft script, so details may change in production.

  1. Make overlap into a movement rule

    • 001→011 shares 01
    • 001→010 also legal
    • Word tiles will become arrows
  2. Define vertices as contexts and edges as words

    • Vertex=2-bit context
    • Edge=3-bit word
    • 001: 00→01
  3. Build all eight edges and distinguish repeated vertices

    • 8 edges=8 words
    • Each vertex: 2 in,2 out
    • Repeat vertices; do not repeat edges
  4. Read a particular closed walk into a cyclic word

    • Start 00; append each edge’s last bit
    • 0001110100→cyclic 00011101
    • Closure supplies the wraparound
  5. Explain reverse translation and its limitations

    • Continuous: overlaps agree
    • Edge-once: words are unique
    • Closed: ends fit
  6. Generalize to order k with explicit k 4 example

    • Order k: 2ᵏ⁻¹ vertices,2ᵏ edges
    • 0010: 001→010
    • Append target bits to reach target context
  7. Companion overlap puzzle with exact success condition

    • Goal: all 8 edges once and return
    • Partial tour≠complete Euler tour
    • Word↔edge; overlap↔vertex
  8. Retrieve correspondences and preview proof

    • Vertex=context
    • Edge=word
    • Euler tour=every word once

Companion interactive

Planned

Build a continuous closed walk using all 8 word edges once.

The interactive for this lecture is being built and will appear here.

Notes

Written notes for this lecture will appear here.

Sources

How these sources were used
  • Persi Diaconis and Ron Graham, Magical Mathematics: de Bruijn graph and Euler-tour correspondence.