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premjan

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About premjan

  • Birthday 02/20/1971

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  • Website URL
    http://www.buildersv2b.com

Profile Information

  • Location
    Dubai
  • Interests
    forums
  • College Major/Degree
    Susquehanna University, Carnegie Mellon University, Mathematics and Computer Science
  • Favorite Area of Science
    Biology
  • Biography
    Computer Scientist, Biomedical and Web Applications
  • Occupation
    Systems Engineer

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  • Meson

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Meson

Meson (3/13)

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  1. Does entropy depends on the cosmological model? I think the big bang universe is one where entropy continuously increases, but there are other (less favored) cosmological models where low-grade energy may recycle back as mass.
  2. doesn't linux have some sort of indirection of file blocks so that the blocks for a file are not likely to be adjacent on the hdd anyway?
  3. Probably for no good reason. Somehow the idea of matrix singularity bugged me, but while we can take some reasonable steps to eliminate it, 0*0=0 seems too much like an obvious thing to kludge. I guess some matrices (and numbers) had best just remain singular (or uninvertible).
  4. Yeah, oo (and 0) are kind of multiplicative information sinks. oo * 1 = oo oo * 0 = ?? (shall we say this is 0 or undefined?) 0*a = 0 I was just thinking that we might somehow be able to guarantee an invertible matrix inverse function but oo * 0 is still a problem. Why not just say that oo * 0 = 1 (by definition)? Here are possible truth tables for {Z_2,oo} + 0 1 oo 0 0 1 oo 1 1 0 oo oo oo oo oo * 0 1 oo 0 0 0 1 1 0 1 oo oo 1 oo oo Basically multiplication by infinity is the problem. It is not invertible, as oo*oo = oo*1. Also 0*0 = 0*1. I'm guessing there is no way to eliminate these problems? Perhaps we could put oo * oo = 0 (kind of return to home do not pass go situation) whereas oo * 1 = oo. And 0*0 could plausibly be put as oo (it even looks like two zeros already). This would at least remove the information sink properties of 0 and oo. Would this help in any non Z_2 setting is the question. But I guess it would make matrix inversion in Z_2 (only) invertible, in some sense.
  5. now doesn't that translate into the analytic setting somehow though? I bet if we introduced an explicit infinity element it would make the whole shebang work with closed division and matrix inverse. What is a "bog" standard? If we had an infinity element, we would have 0*infinity = 1 and 1*infinity = infinity. Then it would be Z_2 augmented with infinity. 0+oo = oo and 1*oo = oo. Then singular matrices would have inverses, would they not?
  6. wow I like the way you delicately said "shed" instead of s***. I get it. The whole thing doesn't make as much sense if constructed without the usual behavior of 0 and 1. If we changed it, it would complicate all our formulas and equation solving.
  7. I seem to have heard that over time, intermarriage between fair skinned and dark skinned people will end up in dark skin (but of course this may be anecdotal and influenced more by environmental factors than pure genetics).
  8. Is there some way to eliminate "singularity" in Z_2 matrix inverse while retaining other properties (possibly by redefining + or *)? Basically I was wondering if it is possible to make the matrix inverse work for all matrices including the 0 matrix (groupify the inverse operation I guess)? (probably not, I guess). Is there some way to gain intuition why this is not possible? Is it possible to achieve something like a field that is closed under inverse? I guess the multiplicative property of 0 would have to be sacrificed. Could this be done by introducing an explicit "max" or "infinity" element? Maybe if I use ^ (XOR) and !^ (XNOR) for * and + respectively?
  9. Mod 2 operations ought to do fine I suppose. Will matrix inversion be injective in Z mod 2? I suppose it ought to be. Do you have a link to "sliding" somewhere? Thanks.
  10. Imagine an m x n matrix which has only 0 and 1 as its elements. I couldn't think of a better term for it, so I'm calling it a boolean matrix. 1) suppose m = n. I want to calculate the inverse of a given boolean matrix. Is this faster than computing it for a regular matrix (with elements other than only 0 and 1)? Is there an algorithm (analogous to, say, Gaussian elimination) which always preserves the boolean property at each step? Basically if you can maintain the boolean property, you can do everything using bit operations so it ought to be more efficient (besides there not being any numerical instability problems). 2) suppose m != n. I would like to compute the left and right inverse of a given boolean matrix. Is it likely that the left inverse would be equal to the right inverse? Is it easy to tell when this would be the case? Could we force it to be the case somehow? 3) is it easy to tell which boolean matrices are nonsingular?
  11. bubbles (maybe of water vapor or dissolved gases coming out of solution). it also happens with fast running water (e.g. coming out of the tap, or, I suppose sea spray).
  12. off generally doesn't go off immediately, the phosphors take some time to stop emitting.
  13. premjan

    x not= x

    Doron claims that Dedekind cuts do not work because the limit point of a sequence (e.g. sequence of rationals) is always separate by a finite interval from its "limit" irrational (and due to the self-similar scaling of the real line, any gap is a "1" gap. Here's his latest set of posts: http://www.iidb.org/vbb/showthread.php?p=2001576#post2001576
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