Posts tagged mathematics.

Will I ever be friends with math?

I’ve always processed it in weird ways. I get distracted by things that others overlook, or are happy to simply memorize. I take round-about routes to a solution when something simpler will do. Why? Because it makes sense that way. I didn’t even think of the simpler idea.

When I was very young, I had this problem with addition (or was it subtraction?) where I’d end up with one too many (or one less?) because of some “logic” wherein being “on” a number — say, 6 — when adding, meant that it was actually 7 because for some reason I had to add 1… I have a vague notion of this but can’t even explain or make sense of it anymore. Like a dream.

I don’t know. It’s partially visual (almost synaesthetic), and partially just convoluted. Stupid mistakes.

{ Better Explained }:

How do you draw an elephant?

  • Pencil the structure using ovals, rectangles, and so on
  • Ink the final result, taking the lines you want
  • Erase the underlying pencil structure, revealing the elephant

Is tracing different from drawing? You bet. Tracing is mimicry — we don’t know why a line is there. We just start in one corner and work our way around. Sure, we might make a pretty elephant — but can we draw one with a different trunk? Standing on two hind legs? Probably not.

Math is similar: we “teach” by tracing a student through the steps of a proof. But there’s an underlying pencil structure that was in the mind’s eye of the proof’s author that we’re not seeing. We’re walking the student along the drawing (“Here is the head, here is the trunk, here is the leg”) without show the mindset that created the proof (“The head is an oval, connected to a larger oval for the body; the legs are cylinders, which we smooth out.”).

If we’re lucky, the student generalizes the steps and creates their own pencil structure.

Sometimes we create “nice-looking elephants” through trial and error. Later on, we realize there’s a common structure that can simplify future efforts. True learning is about discovering and exploring these structures, not simply generating the pretty elephants.

••••••

OS:

I love Better Explained. I wish they covered more topics, but I feel like I’ve been looking for this my whole life — the intuitive explanation.

Funny; it reminds me of another { 3rd grade story }: besides that it was a group project wherein we had to write something long-ish, the context is irrelevant. The two girls I was sitting with were editing what I’d written, and were trying their hardest to convince me that my paragraph was too long (or too short?) because “paragraphs are 5 sentences long”. Someone had taught them that, without explaining the point that a paragraph depends on how long it takes to convey a thought. A creative writer knows that a paragraph can be a single word or three pages, as necessary.

For the longest time, I inwardly face-palmed thinking about that. Who was to blame? A bad teacher, or students who couldn’t grasp subtleties and abstractions? But… how can I laugh at them now? Truly, my entire mathematical experience (up until recently) has been exactly this way. I’ve been tracing mathematical elephants.

Finally completed Intro to Physics at Udacity!

In the scheme of things, a basic physics course isn’t a big deal. But, I’m excited about this! This pursuit is a huge part of something I want to dedicate my life to, and here’s one more step in the right direction.

The course was an amazing educational experience, thanks to the instructors Andy & Jonathan, the students who participated in the forums, and the Udacity team. I learned a lot and it was the most fun I’ve ever had with math, which is { saying something }.

Hoping to take a more advanced course soon. Until then I’ll be busy with { these } and Khan Academy.

Fuck yeah, physics.

(via dannnao)

…when women were reminded — even subtly — of the stereotype that men were better than women at math, the performance of women in math tests measurably declined. Since the reduction in performance came about because women were threatened by the stereotype, the psychologists called the phenomenon “stereotype threat.”

“Everyone experiences stereotype threat. We are all members of some group about which negative stereotypes exist … And in a situation where one of those stereotypes applies … we know that we may be judged by it.”

“For a female scientist, particularly talking to a male colleague, if she thinks it’s possible he might hold this stereotype, a piece of her mind is spent monitoring the conversation and monitoring what it is she is saying, and wondering whether or not she is saying the right thing, and wondering whether or not she is sounding competent, and wondering whether or not she is confirming the stereotype,

Research by { Toni Schmader } & { Matthias Mehl }
via { npr }, found at { a longer gaze }

realcleverscience asked: Just a comment: I think many people - including myself - know that the Greeks and others had primitive notions of evolution, but they never discussed probable causes for it. The Islamic quote is interesting precisely bc it seems to touch on natural selection. That said, yeah, the educational system is woefully inadequate.

Certainly, the intellectual prowess of the Greeks hasn’t gone unnoticed…
sort of:

My comment about the educational system… mostly a reaction to the canon of what is passed on — all mostly as singular stories sans connections. At least, that’s been my experience in schools.

This post reminded me that I didn’t even know about Eratosthenes (!) until watching Carl Sagan’s Cosmos a few of years ago (well into college), and because Eastern contributions to science & maths, like Al Jahiz’s, are often (largely) ignored. Again, my experience, but also basing that off of similar complaints heard ‘round the web.

As for the Anaximander addition, it was mostly for my own archival/research purposes — I’m interested in abiogenesis and had no idea about him, prior.

re: { Struggle for Existence }, 800’s CE

Evolution of Regularites?

How do mathematical patterns evolve in nature? Is it anything like animal evolution — the result of chance varieties coalescing until some “species” become more prominent? Why are certain shapes and ratios taken repeatedly, over others?

For example:

“…many networks are found to contain a small but significant number of “hubs” — vertices with an unusually high degree.”
- from Networks: An Introduction

It seems obvious and “natural” in that it makes sense to us, but why should it be the case?

…tbc.

••••••

Discussion:

{ camerxn }:

This question stumped me, but I’ll give it a try :) Perhaps the evolution of mathematical patterns happens alongside the evolution of other systems in nature. Our recognition of mathematical patterns may be evidence of where that system currently is in its evolution.

A question I have is would it be possible to determine levels of fitness from mathematical patterns of a given system?


OS re: camerxn :

The two statements that I set in bold are essentially the questions I’m asking as well, although yours are perhaps more clearly stated.

For the second, I would think it would be, right? “Fitness” would likely be determined in terms of the physics of our universe — the laws set forth during the initial conditions of this place, if it happened that way. (Although, those laws themselves can be counted as emergent patterns, also.) Everything else follows according to what works best with those laws, and things that don’t work so well don’t “survive” — I’d imagine they end up “breaking down”, or being unable to complete formation in the first place due to some physical/mathematical disagreements.

Actually this reminds me of the { Rule 30 }, wherein you have an initial condition and a set of rules determined by a system (the programmer) which result in something that appears random (but is actually pseudorandom due to the deterministic programming in the beginning) and contains repeating similarities.

{ memeengine } said:

I suspect some number of hubs might minimize distance between two random nodes… both neural networks, and human-designed networks are subject to survival of the fittest. Hmmmm

OS re: memeengine :

Yes, likely. That idea about the hubs is something that makes sense for us. But I’m wondering how things got to a place where that is a sensible thing to happen. A loaded question obviously :/ , maybe won’t be truly answerable for some time. But definitely, a beginning lies in the evolution of systems…

I wonder if you could share some knowledge/examples of survival in neural and human networks? Message, or post — I’ll reblog or add it here?

{ Rule 30 }

&

Stephen Wolfram on
{Computation and the Future of Mathematics }

A rabbit probably requires a f*ck ton of energy to conjure… it’d be interesting to see if someone could do the math.

I started by finding the E of a 1kg rabbit (using e=mc^2), but I don’t know if that’s the right place to start… & needs more information: Internal energy U, Pressure P and volume V (of rabbit’s container?) — the latter is probably arbitrary.

(via freshphotons)

Art by { dvdp }

THE PHYSICS OF SPIRALS?

Perhaps someone with more experience in math & physics can give some insight about this:

I’ve subscribed to a weekly newsletter from { Kurzweil AI } (Many of you might find it interesting; it covers futurism, technology, science, etc.) Recently, there were two consecutive articles about spiral shapes that I found curious:

{ Pasta-shaped radio waves beamed across Venice }

A group of Italian and Swedish researchers may have solved the problem of radio congestion by cleverly twisting radio waves into the shape of fusilli pasta, allowing a potentially infinite number of channels to be broadcast and received.

& { Scientists twist light to send data at more than 2 terabits per second }

A multinational team led by USC with researchers in the U.S., China, Pakistan, and Israel has developed a system of transmitting data using twisted beams of light at ultra-high speeds — up to 2.56 terabits per second.

Broadband cable supports up to about 30 megabits per second. The twisted-light system transmits about 85,000 times more data per second.

Is there something inherent to spiral shapes that allows them to hold more “information”? (I’m using the word info. in a general way, like if we think of the universe as a system of variously configured “bits” of info.) Is the relationship — in terms of information — between these technologies and natural constructs like DNA and galaxies more than an aesthetic correlation? If it’s true that spirals “hold more”, why is this?

P.S.
I’ve also asked this question at { Udacity }, if any of you are enrolled in Intro to Physics. I’ll re-post answers here if anyone answers there, and vice versa.

••••••

ANSWERS:

{ memeengine }:

olena:

THE PHYSICS OF SPIRALS?

I’ve heard a little about that second item - use of “twisted” light in optic cables.  If you read my blog, you’ll know I’m no physicist, but I can offer my limited understanding…

Physically, I’m not sure if we’re talking about photons forming a spiral shape as they move.  It may have something to do with the polarity of the photons.  However, I think that what allows more information to be crammed in is something like different channels.

Even if it’s not completely accurate, I think that color is a good way for us amateurs to understand it.  You may know that white light contains all the colors of the rainbow (ie all frequencies of visible light).  Imagine if instead of sending one message in the white light, many messages could be encoded among the individual colors (frequencies) within the light.  So there could be a “red message”, a “green message”, etc.

The idea of twisting the light may have something to do with teasing apart the different frequencies, or channels so the individual messages can all be read.  Clearly, this has a multiplicative effect on the information that can be sent.

I think some of this research also looks at laying “meta-messages” on top of the normal light pulses.  Imagine if the rate at which the light pulses are sent were marginally slowed down or sped up.  This too can send information, and in theory, none of the original information from the pulses is lost (only perhaps marginally slowed).  Think of sending morse code by switching from intervals of slow pulses to intervals of quick pulses.

I know I’m not close to having a handle on this story in terms of the physics, but I think the above pseudo-examples capture the ideas of the more tightly packed information.  Hope this helps!

OS re: { memeengine }:

Thanks for answering! I wonder if DVDP’s image inspired that explanation? :D

Light can be twisted like a corkscrew around its axis of travel.

Optical Vortex }

It seems that just the actual wave, as it travels, is made to rotate as if it were going around the outside of a tube. I don’t know if that contradicts what you said —

“…I’m not sure if we’re talking about photons forming a spiral shape as they move…”

•••

Thyrm at { Udacity }:

Well, I can tell you that DNA coiled up can hold more information because its structure maximizes surface area while decreasing the volume that it occupies. If you were to uncoil DNA then it be about a meter long. If you unwrapped the two strands, then it’d be twice as long. Mind you, this is with one molecule of DNA that can easily fit inside the tiniest organelles of one of your cells. The geometry involved in that is beyond me. I am sure somebody else has a better answer.

Another amazing material that has a lot of surface area is activated carbon. Its surface area is absolutely insane, at about 500 sq. meters per gram.

Also, you might be interested in this: { http://en.wikipedia.org/wiki/Menger_sponge }

•••

{ hpgal3 }:

It could be something to do with the surface area. I remember seeing something on “Through the Wormhole” about the surface area of an object being where it holds most of its information (not its volume). This is true in biology as well, yes. Especially in folds, like your mitochondria and intestines. You just have more room.

http://www.youtube.com/watch?v=WbRvHbtB9AQ

Starts around 27:27

staceythinx:

Digits is a poster series by James Adame designed for a campaign to promote classroom visits by professionals that use math and science in their jobs. 

About the project:

This campaign was created for an initiative of the State of Mass. school board to show kids the importance of studying Math and Science…We wanted to show students that Math and Science isn’t scary- it makes dreams come true and surrounds us in daily life in everything we do.

••••••

I disagree with this idea.

This isn’t any different from anything they’re been doing in school for years, except it looks a little prettier.

I know this much: it wouldn’t have worked for me — I hated math in school. HATED it. Did well enough, but knew I’d almost never have to use it in my job (and I was right — I don’t). Now, years later, I’m actually doing Trig review for fun.

What happened is that I realized the inherent magic of it. By magic, I mean the math of physics, of Alan Turing, of the Golden Ratio, of the ancient Greeks! Whereas, unfortunately, the stuff above just brings the whole process down to the “kid’s level”. Kids, who love magic and superheros and pirates and fantasy and crazy shit… and they’re telling them about dull, commonplace things like bullies and… what’s up there? Wedgies? Ok, the invisibility one is pretty cool. But it isn’t real, unlike the aforementioned examples.

Let’s not be afraid to bring the wonder of the very real, mysterious world we live in into the classroom — Hell, into our daily lives.

(via freshphotons)

{ Simple mathematical pattern describes shape of neuron ‘jungle’ }

A 2/3 power law: L = (3/4π)1/3 × V1/3n2/3
where n is the number of dendritic sections to make up the tree, L is the total length of these sections, and V is the total volume

{ A scaling law derived from optimal dendritic wiring }

Authors:
    Hermann Cuntza,b,c,1,
    Alexandre Mathya, and
    Michael Häussera

Abstract:
The wide diversity of dendritic trees is one of the most striking features of neural circuits. Here we develop a general quantitative theory relating the total length of dendritic wiring to the number of branch points and synapses. We show that optimal wiring predicts a 2/3 power law between these measures. We demonstrate that the theory is consistent with data from a wide variety of neurons across many different species and helps define the computational compartments in dendritic trees. Our results imply fundamentally distinct design principles for dendritic arbors compared with vascular, bronchial, and botanical trees.

nightsinneon:

Diagrams from Geometrical psychology, or, The science of representation: an abstract of the theories and diagrams of B. W. Betts (1887) by Louisa S. Cook, which details New Zealander Benjamin Bett’s remarkable attempts to mathematically model the evolution of human consciousness through geometric forms.

Paul's Online Math Notes ›

Thanks for this, { yasmoose }!

a short introduction to complex numbers ›

yasmoose:

Because I wanted to help out with this but couldn’t include my entire answer in an ask submission.

Complex numbers are of the form a+bi where a is the real component and bi is the imaginary component.

i is like a placeholder that indicates that the number it’s next to is imaginary; it’s easiest to think of it as the square root of -1. So i2 = -1, and is therefore a real number (or maybe just the real component of a complex number, which we’ll get to).

Visualizing a complex number isn’t too hard if you don’t take the idea of imaginary numbers too seriously (and by that, I mean, don’t get stuck on the idea that it’s called imaginary, or that it’s the square root of a negative number—not that imaginary numbers are frivolous).

Picture a plane where you have a real axis and an imaginary axis, as follows:

You can also do the above in 3D! Just like the movies.

So instead of having a real axis and imaginary axis, you’d have a real plane and an imaginary plane, like below:

where the x-y plane is real.

Now say I have a complex number z = 2 + 3i.

[side note: z is the conventional letter picked for complex numbers]

I would draw it like this on my plane:

where my real component has a magnitude of 2 and my imaginary component has a magnitude of 3. The resulting vector of these magnitudes:

is my complex number z.

So a real number is basically a complex number with no imaginary component (and vice versa).

Using the example above, Re{z} = 2 and Im{z} = 3i.