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Posts tagged with geometry

Dmitri Tymoczko — author of The Geometry of Music

  • how to make visual representations of music
  • (in paintings, video games, sculpture)
  • 5 constraints on a composition that are necessary (but not sufficient) for it to sound good
  • global statistical properties of songs
  • why 20th century classical music had little audience
  • a random painting is much less offensive to the eye than random notes are to the ear
  • “I came up with these 5 principles using my brain, which is a kind of crude statistical device”
  • the piano is essentially a line
  • [NB: linear ⊃ monotonic ⊃ totally ordered]
  • violin/voice musicians know that notes ⊂ continuous space, but the piano does us a favour by constraining us to a subset of those notes
  • line mod 13 = circle
  • (equivalence classes of octaves — A1=A2=A9 and E4=E7=E12 etc.)
  • directed segments, unordered tuples
  • musical translation = mathematical transposition, musical inversion = mathematical rotation
  • The fact that most people don’t have most perfect pitch (things sound the same in different keys) may be so that we can understand that, despite pitch differences in male/female adults’ speech and children’s speech, they are saying the same words.
  • “It’s as if we couldn’t tell the difference between red and blue, but we were highly sensitive to the-difference-between-red-and-orange and the-difference-between-blue-and-green.
  • [Also: this.]
  • Minor vs major is the other isometry of the circle (besides rotation): reflection.
  • “Harmonic progression is like zone defence”
  • Minute 26: Awesome. Watch how to move around in 2-chord space — seen on a circle and on Tymoczko’s grid
     




If you don’t read Sketches of Low-Dimensional Topology already, your personal astrologer advises that you start doing so before the next ecliptic.

Sample pics and text:

Klein Bottle000

Picture 9

Picture 5

Picture 26

18foldliftP-237rotate

The 3-sphere as two balls

Picture 14

Trefoil with monodromy sweep ghostedTrefoil with monodromy annulusTrefoild with mondoromy sweep 2

Trefoil with monodromy annulus 2

Lineartoruswithctctstr

Picture 47

Medial surface of the Whitehead link.

StandardContactStructure4 (by epsilon_is_afraid_of_zeta)

annulusinsolidtorus

annulusinsolidtorus-chopped

6jsymbols-equivalence

Photo 8


ctctstr4, originally uploaded by epsilon_is_afraid_of_zeta.

ctctstr2

ctctstr3

conformal supports

T3singlefullside2

hopf band monodromy

Picture 7

Picture 6

Ko's Octahedral relation-2

7_7-Sutured Manifold Decomp

P-237onfiber-trefoil

View this 3-manifold as an interval of concentric spheres where you have to imagine gluing the inner sphere to the outer sphere.

aaaaqqaq

Near each point on a singular fiber, a regular fiber passes by some fixed number of times, the order of the singular fiber. In the picture above this number is 5 for both singular fibers.

Here they have order 2.
2 with 5 copies origview

Here they have order 3.
3 with 4 copies origview

Here they have order 1 and so they aren’t that special. A homeomorphism would make all the fibers appear as radial arcs, the S^1‘s of the S^1 x S^2.
1 with 5 copies origview

For the conference honoring the 60th birthday ofCaroline Series(only a German wiki?!?), I was one of a handful asked to contribute pictures inspired by her work. First up is my contribution followed by a description. After that are a few more.

Triangulation I, II, III, IV

WHtangle-top

WHBig2

WHdeepinside7

Whiteheadtangle-squarespherebig

Whiteheadtangle-squareF2

Whitehead flythrough

 

I don’t think I will ever be this awesome. Not only are the pictures way easier to understand than some scary symbols, but the text explains their meaning really clearly and in not-too-many words.

Pass the acid—I mean, the advanced mathematics—please. People thought Grigory Perelman was crazy for turning down a million-dollar prize and living like an ascetic. “Why should I jump for a million dollars, when I can control the vacuum space in between the quarks of the universe?” is my paraphrase of his reply. I don’t have a million dollars, nor do I understand all of this ring fiber link knot book page contact braid surgery stuff. But right now I’m honestly not sure which I would prefer: the imagination, or the dinero.

Thanks to Maxime (@2_43112609_1 on twitter) for the pointer.




  • rats’ brains, and presumably ours, tessellate the plane surface we walk on with multiple overlapping triangular grids
  • (is there a mathematical reason triangles are optimal? euler characteristic, perhaps?)
  • path” neurons in the hippocampus fire as we cross these grids to reconstruct our previous paths
  • boundary” neurons in the hippocampus fire as we approach the boundaries of a space
  • (what about agoramaniacs? or ancient people who hunted buffalo on the plain?)




William Thurston, geometrizer of manifolds

Sometimes I like to spend an hour looking at something I barely understand. The inside of this guy’s mind has got to be so interesting, but it’s been shaped by geometry rather than words, so it’s very hard for him to express it. The geometry shaping it is also quite less limited than the square space we hit baseballs in, so it’s hard to draw as well.

I can offer some help on grokking what he’s saying, but there’s simply no way to absorb this stuff quickly. That said, I wouldn’t mind being able to imagine the platonic forms inside Bill Thurston’s head.

 

GLOSSARY-LIKE DISCUSSION

  1. Topology. You want to understand why identifying the left and right side of a wide rectangle (declaring left = right, so that when you leave the left side of the Mario screen you appear again on the right) is the same as cutting a long strip of paper and taping the two ends together.

    (There’s a slight variation on that game that results in a famously weird space—the one-sided, single-edged Möbius strip).



  2. Quotient spaces. You want to understand what it means to quotient a space. I can give a few examples. ℝ/ℤ would be the unit real interval [0,1) — kind of a microcosm of the real numbers themselves. The Western chromatic musical scale quotients 13 notes into an octave. It’s not that A4 is “equal” to A8, but it shares the same structural relationship as do E4 and E8.



    An orbifold is a manifold that’s been quotiented. Like if you took the plane and made an equivalence class of the vertical [0,1)’s with all the [1,2)’s and [2,3)’s and etc., you would be looking at an infinitely wide strip with all the verticality “wrapped up” in [0,1) — not gone, just wrapped up into one microcosm.

    You could also think about Groundhog Day (the analogy doesn’t work precisely). He’s living through the same span of time over and over because it’s been quotiented along the time dimension (the result of the division is a length of one day)

    Oh … equivalence classes are another thing you have to know about. I haven’t written about them yet. WVO Quine came up with a sensible definition of “what is 2” using the concept. And as Terence Tao wrote, when one uses a “noise-tolerant” definition — like if a lot of different ways of saying something can be taken to mean the same thing — that’s another example of an equivalence class.

    Back to the music theory for a second—there are multiple ways you could set up equivalence classes.
    • octaves — it’s not as if all “G♯” notes sound the same — but when we talk about octaves it’s usually with reference to the same-sounding-ness of twice-as-fast frequencies
    • inversion — I can do a major A triad as AEG, GAE, EGA … it’s a combinatorics thing; 3! ways. No, they don’t all sound the same, but when I use the word “triad” I am equivalence-classing over the kind of sameness that they do have.
    • enharmonics — Sure, D♯♯ and F♭ sound the same — but conceptually they’re very different, and the notes around D♯♯ will be different than the notes around F♭.
    • slight errors — players of the cello or the voice know that pitch is a continuous variable—however we might reasonably call 398 Hz = 400 Hz = A4.
    • transposition — Certainly composers choose the key of D (or, if they’re Stephen Sondheim, F♯) for a reason — but if a song isn’t within your vocal range you can always subtract or add a certain fixed pitch (in notes-space, not in Hz-space!) from every note and the piece will sound “the same” — not exactly the same, but it will recognisably be a pub song — I mean, the US national anthem


    If I say “Hand me that glass”, I don’t mean to reference the glass at a particular orientation, rotation, or place in the room—I mean to equivalence-class ∀ such configurations of the glass—they all mean “that glass”. And if I say “Hand me a glass” — “Which glass? This glass?” — “Any glass!” then I’m equivalence-classing ∀ glasses within a certain distance from you.

     
  3. Hyperbolic geometry.  In square space, four right angles  add up to the whole shebang 360°. But in the logical abstract it needn’t be that way. What if “space” consisted of 3 right angles , or 12? Something to think about.

    Oh — and what if it took one number of azimuthal ∢ right-angles to make the whole pie round, and took a different number of planar right-angles to make that whole pie round? Yeah, that would be weird too.



  4.  Watch the 20-minute movie Not Knot, where they explain that links—knots made of several (closed/looped/circular) ropes rather than just one rope—biject uniquely to the complement of some hyperbolic geometrical space.

    Since hyperbolic geometric spaces had already been explored a bit before the 1980’s, now everyone had a fun tool to unite concepts and ad-lib toward new ones. The new bijection opened up the gates to some easy logical shortcuts. I drew a picture of the way this kind of logic goes in talking about a clever way someone thought of to generate random normals with little computation.

    But this is in general how mathematicians solve impossible-sounding problems. I use a little bit of logic in domain X, as long as it’s easy there. Then I use this equivalence that somebody figured out to port the stuff into domain Y. Then I do that’s easy in domain Y. Then I either go back to my original domain or maybe I use some more equivalences to do easy stuff in domain ℤ, ℚ, Linear, and so on—always only using “obvious” logic in the particular domain, and letting the equivalences keep me right as I convert the problem across domains. The “link”-to-hyperbolic-complement-space was one such. Other examples include Fourier-to-regular domain, polynomials-to-sequences, equivalences-across-NP-complete-problems, graphs-to-matrices, matrices-to-characters, Lie-groups-to-matrices, …..

    Oops — just used another common maths word without defining it. Bijections are one-to-one mappings from the source domain onto the entire whole of the target domain. For example a strictly monotonic function from ℝ→ℝ uniquely assigns members ∈ℝ to other members ∈ℝ — in such a way that no value is reused and every value is used.

    A strictly monotone function injects the source into && surjects the source onto the target—which means it can be inverted. (By contrast, a non-monotonic, up-and-down-looking function, re-uses values, so going in reverse you couldn’t tell which usage the 3 had come from.)

    If ∃ a bijection between X and Y, then ∃ a correspondence between X and Y. When mathematicians are trying to speak casually, they will often say something like “You can’t comb a hedgehog” or “You can turn any 3-manifold into a 3-sphere”. “You can do” is their way of saying ∃ a bijecting function that relates the two: ƒ(X)=Y. If ∄ a bijection, then it’s impossible to put X and Y into correspondence — there’s no earthly or heavenly way in which these two things could be made to look alike. For example, maps must fail to correctly show the globe because ∄ a bijection between a globe and a plane. (They also fail because of distortions; that would be asking for a conformal, area-preserving bijection instead of merely a bijection.)

    They also show how spaces-with-stuff-removed can biject to completely unexpected things. A punctured plane is equivalent to the surface of a cylinder, for instance. (?!?!) The punctured surface of a ball is equivalent to a (not-punctured) plane, for instance. (‽‽) Hey, I don’t make this stuff up, I’m just reporting the facts.

    I guess in this talk he is showing different pictures of the associated geometry of various links. 

     
  5. Look up Hopf fibrations, one-point compactification, nilgeometry, solvegeometry, Lie groups (they’re groups, but continuous rather than discrete), Hopf circles,  …. on Wikipedia. Be forewarned: this may turn into a months-long reading project.




  6.  Complements. Not Knot talks confusingly on this topic (“it’s not empty space, it’s space that’s not even there” … I think that way of talking only makes sense to mathematicians).

    As I said in (2), spaces-with-stuff-removed can be homeomorphic to something completely unexpected. If you remove a point from the plane you introduce cylindricity around that point. Kind of unexpected that poking a hole in a square space makes a circular space, but that’s logic for you—always pointing out that illogical-sounding things are in fact inescapably true. 

    The symbology for complements looks too similar to the symbology for quotients. Sorry, not my decision. ℝ\ℚ = the irrationals ℚ∁. ℂ\ℚ∁ = the curliness of √−1 without the ridiculously, insanely thick thickness of the continuum. A manageable space in which not all sequences converge. ℝ\Transcendentals = Algebraics. Another eminently reasonable number system that does everything you’d want without the messy insanity.

    ℚ\0 = all fractions, minus zero. This is a punctured thing. ℝ²\0 = the punctured plane. ℝ³\0 = the cubic solid we seem to live in (Newton’s rigid rods) minus a point in the center of the universe. I don’t know if ℝ³\0 bijects to a looped thing like ℝ²\0.


    The world\Snoopy. Logically it’s equivalent to the punctured cubic thing I just described. Kind of boring, I thought removing Snoopy would be more devastating.

    BTW, you can also adjoin things, like ℚ adjoin i = ℂ\ℚ∁ mentioned above. I like this one if you can’t tell. ℝ adjoin ∞ is the one-point compactification of the line (as long as ∞ is defined to be ± ∞ so you can get there from the left or right)

  7. Symmetries.  The peace sign has a 3-way symmetry. Mirror images are 2-way symmetries. You could draw a flower with a 5-fold symmetry or a 12-fold symmetry and so on. The concept itself isn’t confusing, but the way Thurston and Not Knot talk fluidly, assuming without making explicit the implications of identification, quotienting by symmetry, topological gluing, point/line removal, and complementation together, is overwhelming.




[G]eometry and number[s]…are unified by the concept of a coordinate system, which allows one to convert geometric objects to numeric ones or vice versa. …

[O]ne can view the length ❘AB❘ of a line segment AB not as a number (which requires one to select a unit of length), but more abstractly as the equivalence class of all line segments that are congruent to AB.

With this perspective, ❘AB❘ no longer lies in the standard semigroup ℝ⁺, but in a more abstract semigroup (the space of line segments quotiented by congruence), with addition now defined geometrically (by concatenation of intervals) rather than numerically.

A unit of length can now be viewed as just one of many different isomorphisms Φ: ℒ → ℝ⁺ between and ℝ⁺, but one can abandon … units and just work with directly. Many statements in Euclidean geometry … can be phrased in this manner.

(Indeed, this is basically how the ancient Greeks…viewed geometry, though of course without the assistance of such modern terminology as “semigroup” or “bilinear”.)
Terence Tao

(Source: terrytao.wordpress.com)




“There is more difference within the sexes than between them.”
‒Ivy Compton-Bennett, Mother and Son

“In all of human biology, there is no greater difference than of that between men and women.”
—Some biology notes I found online

These two statements sound like rhetorical opposites, but in fact both are true.

(Says me. I can’t prove this, but I bet that taking everything into consideration, divisions between men & women are greater than those between liberals & conservatives, blacks & non-blacks, tall & short, sick & well, D&D players and people who get laid, etc.)

Let me show how both statements can logically live together harmoniously.

Just like how most men are slower than female Olympians, but at the same time the average man is faster than the average woman.

NB: Not real data.

Measurement

Even when differences are statistically significant enough to draw conclusions (such as: “boys sprint faster than girls”), the magnitude may be really small so that the difference, while indisputable, is also unimportant. (“Statistical significance” is a confusing term in this respect.)

Consider that there are many ways you could measure differences among people. Here are some that come up frequently in the gender wars, grouped suggestively:

  • height, weight, curvature
  •   IQ, SAT scores, reading tests
  • speed, throwing distance, fine motor skills
  • communication skills, emotional intelligence
  • went to college, profession is engineer
  • finding things in the refrigerator, ability to focus, ability to multitask

There are many ways to measure each of these “dimensions”. For example, does “speed” mean in the 100m dash, 200m dash, marathon, trail running, bike race, or triathlon? While the answers wouldn’t be independent, they wouldn’t be one-to-one either.

A billion points in a million-dimensional space

Now you are faced with 6.7 billion points in an N-dimensional space, where N is the number of things you could measure. Let’s say like a billion points in a million-dimensional space. (Some dimensions may be collinear.)

On the one hand, there are always lots of pink and blue dots mixing in with each other (e.g. men who sew better than most women)‒and directly from Ivy’s point, the distance among pinks (variation among men) is greater than the distance from the pink centroid to the blue centroid (variation between men and women).

At the same time, though, if you had to choose just one factor by which to color these dots and get maximal classification power, it would have to be gender.

In other words, gender differences may generate a maximally separating hyperplane, but Euclidean distances between differently-gendered points are often small, and Euclidean distances between same-gendered points are often large.




Pictures of the 3-sphere, or should I say the 4-ball? It’s a 4-dimensional circle.
Even though these drawings of it look completely sweet, I have a hard time parsing them logically. They’re stereographic projections of the hypersphere. All they’re trying to show is the shell of {4-D points that sum to 1}. That’s lists of length 4, containing numbers, whose items add up to 100%. Some members of the shell are
∙ 10% — 30% — 30% — 30%∙ 60% — 20% — 15% — 5%∙ 0% — 80% — 0% — 20%∙ 13% — 47% — 17% — 23%∙ 47% — 17% — 23% — 13%∙ 17% — 23% — 13% — 47%∙ 0% — 100% — 0% — 0%∙ 5% — 5% — 5% — 85% 
The hypersphere is just made up of 4-lists like that.

The 3-sphere was the object of the Poincaré Conjecture (which is no longer a conjecture). Deformations of this shell — this set of lists — are the only simply-connected 3-manifolds. Any other 3-manifold which doesn’t look holey or disjoint must be just some version of the hypersphere.

Pictures of the 3-sphere, or should I say the 4-ball? It’s a 4-dimensional circle.

Even though these drawings of it look completely sweet, I have a hard time parsing them logically. They’re stereographic projections of the hypersphere. All they’re trying to show is the shell of {4-D points that sum to 1}. That’s lists of length 4, containing numbers, whose items add up to 100%. Some members of the shell are

∙ 10% — 30% — 30% — 30%
∙ 60% — 20% — 15% — 5%
∙ 0% — 80% — 0% — 20%
∙ 13% — 47% — 17% — 23%
∙ 47% — 17% — 23% — 13%
∙ 17% — 23% — 13% — 47%
∙ 0% — 100% — 0% — 0%
∙ 5% — 5% — 5% — 85% 

The hypersphere is just made up of 4-lists like that.

The 3-sphere was the object of the Poincaré Conjecture (which is no longer a conjecture). Deformations of this shell — this set of lists — are the only simply-connected 3-manifolds. Any other 3-manifold which doesn’t look holey or disjoint must be just some version of the hypersphere.




“The whole is more than the sum of the parts”

Who says scientists are reductionistic? Any superadditive system—due to complexity, interaction terms, valuation by an Lₚ norm with 0<p<1, or some other reason—adds up to more in total than the pieces individually do.

(Such Lₚ norms are semimetrics but not seminorms.)




Polygons (2), polyhedra (3), polychora (4-D), and polytopes (∀) can be represented as a graph — the same network-skeletal structure that models

For example, this is a skeletal graph of a cube:

So are these:

And here’s a skeletal graph of a 4-cube (tesseract).

Triangle = Blood.

And now for the news. triangular face of a polytope has the exact same topology as the blood types.

That’s weird, right?




Although the mathematical sciences have some apprehension of true being — geometry and the like — they only dream about being. Never can they behold the waking reality so long as they leave the hypotheses which they use unexamined, and are unable to give an account of them.
Plato, The Republic, book VII

(Source: classics.mit.edu)




by Dmitri Tymoczko

 A musical chord can be represented as a point in an orbifold. (An orbifold is a quotient manifold.)

Line segments join notes of one chord to those of another. Composers in a wide range of styles have exploited the (non-Euclidean) geometry of these spaces, typically by using short line segments between structurally similar chords. Such line segments exist only when chords are nearly symmetrical under translation, reflection, or permutation.

(via Artemy Kolchinsky)

book




“The anchovies were nowhere near the sardines and the tuna. That’s because they were near the pizza toppings.

But it was only a problem because this was a three-dimensional grocery store. If it had been a thirty-dimensional grocery store they could have been near the pizza and the sardines.”

I’ve been putting off a post about phase space for nearly a year now, and watching this talk made me remember that I’ll soon have to do it.

Geoff Hinton talks here about a number of different spaces that are not the physical space that math was initially developed on.

  • The bag of words model of a document takes each word in a text to be a dimension of the document, with like 80,000 possibilities each or however many words there are in English. (The 80,000 possibilities are the underlying corpus.)
  • Latent semantic analysis of the bag-of-words type is how Google now does its search rankings. (PageRank only constitutes something like 30% of SERP ranking anymore, because [a] it’s too easy to game and [b] it’s inspecific to what’s being searched on. Domain authority and LSI comprise the rest. <—separate article)
  • Seeing a pixel-by-pixel representation of a 2-D image as a list vector is problematic because the first pixel in a 200x300 Facebook profile image is next to the second pixel and also next to the 201st pixel. I.e. one needs a 2-array.
  • Hinton talks about abstract feature space and energies — equivalently evolutionary fitness or economic utility and ravines and mountains upon this manifold.
  • The number of dimensions here is like the number of parameters (same as free parameters or degrees of freedom or arbitrary parameters in stats class) and in a neural net each “synapse” or graph edge is a lever you can pull.
  • The same metaphor — and this is a metaphor in a grand sense which I hope to cover before the year is up — applies to the equalizer on your uncle’s home stereo, i.e. the number of terms in the Fourier decomposition.




Moscow by Lee Jang Sub

Moscow by Lee Jang Sub


hi-res




One example of a total ordering is the “hotness” scale from 110.

Because of the widespread disagreement about the meaning of the numbers, the only thing one can infer based on a man’s rating of a woman is that she is more attractive than those who score below her.

YOUTH

The Hotness Scale derives, I think, from a need to explain one’s tastes to peers and hear them justified.

It typically surfaces in sleepover conversations like this:

  • Chris (secretly likes Kelly Russell): Who do you think is hotter: Liz Jones, or Kelly Russell?
  • Dave: Are you kidding?! Liz Jones is waaaay hotter.
  • Chris: Oh, yeah. I mean, obviously. I was just checking. I just meant, you know, that I think Kelly Russell is like maybe a 7.
  • Dave: Are you crazy?! She’s like a 2.
  • Chris: Come on, 2 is like people who have skin grafts. 2 is people who were burned in fires.
  • Dave: Whatever. Maybe.
    (sheepish retreat to celebrity hotness)
    But man, Jane March is the hottest woman on the planet.
  • Chris: No way, Jenny McCarthy is hotter.

I’m a little embarrassed to admit (though I’ll still admit it) that when my best friend and I started using the hotness scale, we scored girls in different categories, like

  1. tan
  2. boobs
  3. personality
  4. legs
  5. I forget what else
  6. overall score

Yeah, we were really cool. (Also we were really twelve.)



DISPUTES

Fast forward to college. We guys were joking about using the ten-point scale, which by then was passé (although I did once use the phrase “a Bloomington 6 is a hometown 9”). We were trying to answer, what is the difference between a 6 and a 7 anyway? And is the distance between 6 and 7 greater or less than the distance between a 9 and a 10?

Everybody had taken calculus by this point so statements involving derivatives were bandied about (even though none of us meant to use real numbers … it was calculus as metaphor).

One guy proposed that each number should correspond to a decile —

  • 1 to the ugliest decile,
  • 10 to the hottest decile,
  • and so on.

 Someone else said that one’s initial reaction put a girl either in

  • the >4 (most of the time) or
  • <5 — but that since no one would ever hit on someone in the latter category,
  • in fact 1≈2≈3≈4.

Another said that he never assigned a 10 to anybody because that would mean he had met his wife. Um, yeah … we were still super cool.

Also contentious was whether each of us accepted the truth of whatever our own numerical ranking was. All I know is that whatever I said my score was, I secretly hoped it was 2 points higher.

There was a lot of inconsistency to the scores, which is why I’m bringing this up under the topic of rank without distance measure. Although I would wager that transitivity is violated, so perhaps this scale does not have a rational basis.



PEOPLE CAN BE ATTRACTIVE IN DIFFERENT WAYS

As I’m writing all of this I desperately want to jump ahead to partial orderings. But I haven’t defined them yet and I refuse to link to Wikipedia, so I’ll have to put that topic off.

Suffice to say that attraction is a perfect jumping-off point for one further generalization I want to make in order to get mathematics into bed with human experience.

Not everyone can be ranked side-by-side against everyone else. People can be attractive for different reasons (multiple >’s) and some people you just aren’t comparable. All of these reasons and more are great justifications for switching to posets.



POSTSCRIPTA

I’d be interested to hear other interpretations of the hotness scale, or other scales of attractiveness, and how they evolved over time. What measure, if any, do you give guys when you’re in your 30’s or 40’s?

PS When I was 24, my girlfriend told me that “24 is a very hot age”. Ha ha.

PPS Tim Ferriss claims to be able to quantify the difference between a 6 and a 9. Tell that to Jimi Hendrix.