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Big sur Quote by Matt Parker

“For our 2D square, this diagonal length is sqrt 2 = 1.414; …The diagonal from the centre of each padding sphere to the centre of the cube is sqrt 3 = 1.732, which allows our specimen sphere to expand to a radius of .732:…The distance from the centre of each padding 4-sphere to the centre of the 4D…” quote by Matt Parker
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““For our 2D square, this diagonal length is sqrt 2 = 1.414; …The diagonal from the centre of each padding sphere to the centre of the cube is sqrt 3 = 1.732, which allows our specimen sphere to expand to a radius of .732:…The distance from the centre of each padding 4-sphere to the centre of the 4D box is a very exact and tidy 2 (i.e. sqrt4), givimg our centre specimen sphere a radius of 1…Onwards to 5 dimensions and things start to get a bit strange: our specimen sphere has continued growing and now has a radius of 1.236, bigger than the padding spheres around it…The big surprise is when the box enters ten dimensions and the inner sphere's radius hits 2.162, which means that it is actually reaching outside the box…From twenty-six dimensions onwards, the sphere is more than twice as big as the box it's inside.””

Matt Parker

About This Quote

Source Video: Numberphile – “Higher Dimensional Spheres”, 2017

As dimensions increase, the radius of a sphere that fits inside a unit hypercube grows dramatically, eventually exceeding the cube's size in high dimensions.

In simple terms: Higher dimensions cause spheres to outgrow their containers.

Key Takeaway

Understand geometric intuition changes with dimensionality.

Themes

mathematics geometry dimensionality visualization intuition

Mood

curious thought‑provoking

Type

educational technical

When to use this quote

  • teaching
  • research
  • modeling
  • simulation

Key Concepts

higher dimensions hypervolume packing problems spatial reasoning

Questions to Reflect On

  • How does this phenomenon affect data science algorithms?
  • What practical implications does it have for physics?
A Different Perspective

Intuitive analogies become harder in very high dimensions.

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