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Posts tagged with mathematics

Once you’ve accepted that Pac Man takes place on a torus

you can extend the same trick to make higher-genus manifolds.

hi-res




OK, not every day. But whenever I shop for packaged retail goods like a coffee or in the grocers.

The Pythagorean theorem demonstrates that a slightly larger circle has twice as much area as a slightly smaller circle.

Pythagorean Theorem  This is how I first really understood the Pythagorean Theorem.  The outer circle looks just a little bit larger than the inner circle. But actually, its area is twice as large.  Kind of like the difference between medium and large soda cups, or how a tiny house still requires kind of a lot of timber, for how much air it encloses. If you buy a slightly wider pizza or cake it will serve proportionally more people; and if an inverse-square force (sound, radio power, light brightness) expands a little bit more it will lose a lot of its energy.  Ideas involved here:  scaling properties of squared quantities(gravitational force, skin, paint, loudness, brightness)  circumcircle & incircle  2  This is also how I first really understood 2, now my favourite number.

(Since the diagonal of that square is √2 long relative to the “1” of the interior radius=leg of the right triangle. So the outer radius=hypotenuse=√2, and √2 squared is 2.)

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And some of us know from Volume Integrals in calculus class that a cylinder's volume = circle area × height — and something like a sausage with a fat middle, or a cup with a wider mouth than base, can be thought of as a “stack” of circle areas

or in the case of a tapered glass, a “rectangle minus triangle” (when the circle is collapsed so just looking at base-versus-height “camera straight ahead on the table” view).

The shell-or-washer-method volume integral lessons were, I think, supposed to teach about symbolic manipulation, but I got a sense of what shapes turn out to be big or small volume as well.

http://2.bp.blogspot.com/__wa77chrZVg/SuRA4fj-l8I/AAAAAAAADHM/quRNFMVeHmk/s400/Chou_pei.jpg

By integrating dheight sized slices of circles that make up a larger 3-D shape, I can apply the inverse-square lesson of the Pythagorean theorem to how real-life “cylinders” or “cylinder-like things” will compare in volume.

  • A regulation Ultimate Frisbee can hold 6 beers. (It’s flat/short, but really wide)
    File:Frisbee Catch- Fcb981.jpg
  • The “large” size may not look much bigger but its volume can in fact be.
  • Starbucks keeps the base of their Large cups small, I think, to make the large size look noticeably larger (since we apparently perceive the height difference better than the circle difference). (Maybe also so they fit in cup holders in cars.)




16 pages for non-brainiacs on the Hopf fibration by David Lyons

  • mapping from S³→S²
  • ƒ(a,b,c,d) = (a²+b²−c²−d²,,)
  • in general a linear transformation in 3-D requires 9 parameters (3×3 matrix — see general linear group)
  • but a rotation only requires ≤4 parameter
  • mapping from S³→S²
  • ƒ[a,b,c,d] = [a²+b²−c²−d²,2(ad+bc),2(bd−ac)]
  • but a rotation only requires 4 parameters
  • understanding maps from high-dimensional spheres to low-dimensional spheres is a Hard Problem
  • Gimbal lock, composition of rotation maps
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    to get the general three-angle rotation group
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    but this is ugly and wrong—not because there are too many trig words, but because if you play around with it enough you’ll see that—just like the North Pole and South Pole have redundant longitude coordinates—various combinations of [phi;,theta;,psi;] can overlap each other or even get caught in a Gimbal Lock.
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A noncommutative space (picture by Lieven Le Bruyn)

hi-res




Monotone and antitone functions
(not over ℝ just the domain you see = 0<x<1⊂ℝ)
These are examples of invertible functions.

Monotone and antitone functions

(not over ℝ just the domain you see = 0<x<1⊂ℝ)

These are examples of invertible functions.

(Source: talizmatik)


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A piecewise linear function in two dimensions (top) and the convex polytopes on which it is linear (bottom).

A piecewise linear function in two dimensions (top) and the convex polytopes on which it is linear (bottom).

(Source: Wikipedia)


hi-res