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Subject:
SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
Category: Science > Physics Asked by: brunews-ga List Price: $50.00 |
Posted:
12 Sep 2002 15:07 PDT
Expires: 12 Oct 2002 15:07 PDT Question ID: 64420 |
How to describe, in Spatial Geometry and/or Physics and/or Mathematics, an object whose every point is equidistant from every other point? | |
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Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
Answered By: omnivorous-ga on 14 Sep 2002 02:12 PDT Rated: |
In shaping an answer here, we're trying to arrive at a QUESTION: what is the best physical representation of links between users on the Internet? Somewhat jokingly I have to remark that we're in danger of creating the 'perfect consulting' arrangement here, where answering the first question creates the next engagement. Originally we looked at what types of physical problems tried to resolve the "equidistant" nature of points in space. We run out of solutions in 3 dimensions. But there are a number of related problems in physics, if the problem is restated slightly. Note Dave Rusin's math FAQ in the on-line Mathematical Atlas treats the issue and problem descriptions: http://www.math-atlas.org/index/spheres.html Thanks to summers-GA for pointing out that the generalization of equidistant points is a simplex. For dimensions beyond 3, n-Simplex refers to the number of dimensions. Mathematicians have attempted to apply simplex theories to Internet modeling, without success so far. Edmond A. Jonckheere, of the Department of EE and Center for Applied Mathematical Sciences, USC attempts to model router traffic using n-simplex tools but says in his paper 'Continuous Geometric Structures for the Internet,' "A coarse geometric theory of networks and information flow is possible, but does not quite amount to 'off the shelves' mathematics." http://mathlab.usc.edu/~bohacek/AMICT/Edmond/talk_to_Srith_group.ppt Modeling particle spacing with randomly-distributed points in 3D may be adequate to describe the Internet because there are: * no barriers between the points * a common link (TCP/IP network) * sub-networks are easily linked other segments or network node . . This would produce an image similar to the animated GIF on the page "Particle System Example": http://astronomy.swin.edu.au/~pbourke/modelling/particle/ The last image implies that Internet users are randomly distributed in space and though they may be physically close, the Internet path may still take their e-mail through the AT&T mail server in Naperville. As an example, last week someone asked GA researchers how to find the e-mail addresses for a neighborhood? Though separated by mere meters, two neighbors are separated by physical link to the network; by ISP; by firewall; by Internet communities in they participate. Absent the assembly of an e-mail list by the homeowners' association, I have no way of knowing if a neighbor is on-line. Problems exist trying to establish any models. It would be perfectly valid for you to argue that we're all still "equidistant" because at Internet speeds, a 'ping' on average will get a response faster from any IP address than it takes me to walk across the street. Some ways to express this question afresh may be: what have been the most-promising five mathematical models to show Internet relationships or Internet performance? Some search techniques that may prove fruitful would combine the terms Internet with a physical representation AND a problem-solving technique, such as: Internet + "neural networks" + "data mining" or Internet + "traffic analysis" + "network monitor" Finally, the Open Directory project can quickly get you to some interesting topics of the topology, structure or relationships of the Internet: http://dmoz.org/Computers/Internet/Cyberspace/ We'll be waiting for the next iteration of this topic! Best regards, Omnivorous-GA |
brunews-ga
rated this answer:
Very challenging and interesting exchanges to reach a very thorough answer. |
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Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: pinkfreud-ga on 12 Sep 2002 20:58 PDT |
Your concept of an object each of whose points is equidistant from all its other points would, I believe, be feasible in zero-dimensional physics, which is also known as zero-brane (sic) physics. Quantum physics has, in many ways, brought science right up to the shimmering edge of spirituality. I recommend two books which deal with the overlap between the physical and the mystical: "The Dancing Wu Li Masters," by Gary Zukav, and "The Tao of Physics," by Fritjof Capra. Neither book is new (both were initially published in the 1970s,) but a thought does not need to be new to be worth thinking. |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: omnivorous-ga on 13 Sep 2002 11:21 PDT |
Brunews -- my last clarification has been excised after my request to withdraw the answer. I had seen all of your notes and suggested considering the animated GIF image (spherepoints3.gif) on the page 'Modelling particle spacing in 3D': http://astronomy.swin.edu.au/~pbourke/geometry/spherepoints/ The image has the following attributes common to the web: * infinite number of randomly-distributed points * no barriers between the points * a common link (TCP/IP network) * if this image represents a 'segment' of the network, it's easily interlinked to any other segment or network node . . . Plus, it moves, meaning that your customers will immediately be drawn to the image and the story you tell! |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: summers-ga on 13 Sep 2002 12:26 PDT |
The form where every point is equidistant from every other point is called a simplex. In one dimensin it is a line segment, two dimensions a triangle, three dimensions a tetrahedron, and for four dimensions it is called the simplex, or the 4-simplex So for n dimensions (n points in this case) we call it a n-simplex. It can be represented by a complete graph on n-vertices if you like a two dimensional projection: that is, draw n points in a circle and connect every one to every other one. |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: brunews-ga on 13 Sep 2002 18:17 PDT |
omnivorous: thank you; there is a very important sentence at the end of your comment: "Plus, it moves, meaning that your customers will immediately be drawn to the image and the story you tell!" This sentence is fascinating, but I don't understand how do you go from the previous sentence to this one? I am missing an essential step. summers: thank you; omnivorous told me the answer for 1, 2 and 3D, and you provide a name and a surname; so we are in an n-simplex. Wow! I have done a quick research and come back with "The Ehrhart polynomial of a lattice n-simplex" which, I think, is what I am looking for, and which, of course, I can't understand because I am not a mathematician. Interesting crossroad. Any advice?. |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: omnivorous-ga on 13 Sep 2002 19:05 PDT |
>* if this image represents a 'segment' of the network, it's easily >interlinked to any other segment or network node . . . > >Plus, it moves, meaning that your customers will immediately be drawn >to the image and the story you tell! < It's a switch from physical representation of an idea to what we know about human reactions: movement attracts the human eye. It means that anything in type will receive less attention than the rotating image; you have the aural attention with your presentation so can explain Internet infrastructure in your own terms -- or spin a tale of your choice! |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: brunews-ga on 14 Sep 2002 07:44 PDT |
Omnivorous: creating the 'perfect consulting' arrangement here, where answering the first question creates the next engagement" is not a danger: it's a very exciting way to proceed (as long as the next engagement leads to a new question on GA). ;) And thank you to all who gave directions to this topic. |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: andy22-ga on 26 Sep 2002 15:42 PDT |
I would say that such an object in N dimensions is described by the vertices of a regular N-simplex. In 1D it is the vertices of a segment. In 2D it is the vertices of a equilateral triangle. In 3D it is the vertices of a regular tetrahedron, in 4D it is the vertices of a regular hyper-tetrahedron, etc... Each of these compound "objects" satisfies the condition that every vertex is equidistant from every other vertex. |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: brunews-ga on 26 Sep 2002 17:44 PDT |
Thhank you, Andy22. Your know what? A few days ago, I had lunch with a friend. And at the end, expresso time, we were joined by a friend of his who happens to dabble in physics. The kind of guy who deals in neutrinos and makes a living with it. And he says that my space is a point: in every point in one dimension, there is an infinity of equidistant points. So, I'm torn between an n-simplex (n dimensions) with n-points or a 1-simplex with n-points. Frankly, I don't know which one to chose, but both are fascinating. :-) |
Subject:
Re: SPATIAL GEOMETRY, PHYSICS, MATHEMATICS
From: andy22-ga on 06 Oct 2002 09:05 PDT |
You're very welcome, brunews. I would like to add another comment to all this. The problem of finding the optimal connection of N points in an M-dimensional space, where M < N, has been looked at before in many fields of research. Two concepts spring to mind that might be relevant to this question: distance metric and meshing. 1 - Metrics: In order to even ask a question involving the term "equidistant", one must have some concept of the meaning of the axes of the space in which the points are embedded, and a concept of how to measure distance within that space. In our case, we are going to try to define what the axes mean in our M-dimensional space. You seem to suggest that your points are embedded in a two-dimensional space: p = ( p.c, p.m ), where p.c is the communication component and p.m is the memory component. (I've no idea what these mean, but we can get back to that at a later time. The point is, it has meaning to *you*.) The distance metric - the way you're going to measure how far 2 points are in the 2-dimensional space - will be used to verify when we our graph is in a "perfect relationship". The obvious metric to use is the flat euler metric in M-dimensions which is computed for 2 points, a and b, as follows: d(a,b) = sqrt( (a.1-b.1)^2 + (a.2-b.2)^2 + (a.3-b.3)^3 + ... + (a.M-b.M)^2 ) and in our case, the metric is just the 2-d flat metric: d(a,b) = sqrt( (a.c-b.c)^2 + (a.m-b.m)^2 ) (The Euler metric is not the only one we can use. In special relativity, a Riemann metric is used which leads to a curved space. This may come into play in this problem.) If all the points are plotted in 2-d according to how far they are from a reference point, O, and we choose the appropriate reference point, then we obtain a cluster of point in the (c,m) plane. 2. Meshing Now we might want to try to reconnect them. That's called _meshing_. And we're lucky because there is alot of information available for meshing points in a plane. Delaunay triangulations have the property that every connection is as "equidistant" as can be. I'm not representing it very well, here, but that's something we can expand on later. Keywords to look for are (Delaunay triangulation, incircle condition). There is one thing that I don't yet know how to factor into all this. You seem to imply that the commmunication from a-> b is different than the communication from b->a. This means: d( a, b) != d(b,a) This implies the network exhibits some kind of anisotropy, or hysteresis. I need to think about this some more. Hoping this helps, Andy22 |
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