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Szemeredi's theorem - 30 views

http://in-theory.blogspot.com/2006_05_28_archive.html in theory Saturday, June 03, 2006 Szemeredi's theorem Szemeredi's theorem on arithmetic progressions is one of the great triumphs of the "Hung...

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started by arithwsun arithwsun on 03 Sep 07 no follow-up yet
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Unconditional pseudorandom generators for low degree polynomials - 0 views

  • We give an explicit construction of pseudorandom generators against low degree polynomials over finite fields. We show that the sum of 2d small-biased generators with error ε2O(d) is a pseudorandom generator against degree d polynomials with error ε. This gives a generator with seed length 2O(d) log(n/ε). Our construction follows the recent breakthrough result of Bogadnov and Viola. Their work shows that the sum of d small-biased generators is a pseudo-random generator against degree d polynomials, assuming the Inverse Gowers Conjecture. However, this conjecture is only proven for d=2,3. The main advantage of our work is that it does not rely on any unproven conjectures.
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Pseudorandom number generation by p-adic ergodic transformations. arXiv Mathematics - C... - 0 views

  • Abstract. The paper study counter-dependent pseudorandom number generators based on m-variate (m> 1) ergodic mappings of the space of 2-adic integers Z2. The sequence of internal states of these generators is defined by the recurrence law xi+1 = H B i (xi) mod 2 n, whereas their output sequence is zi = F B i (xi) mod 2 n; here xj, zj are m-dimensional vectors over Z2. It is shown how the results obtained for a univariate case could be extended to a multivariate case. 1.
  • Foundations of Cryptography. Basic Tools. Cambridge Univ – Goldreich - 2001
  • 129 Uniform distribution of sequences – Kuipers, Niederreiter - 1974
  • ...2 more annotations...
  • 22 The art of computer programming. Vol. 2: Seminumerical Algorithms – Knuth - 1981
  • 8 Uniformly distributed sequences of p-adic integers – Anashin - 1994
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Neal Stephenson on Zeta Function Cryptography - 0 views

  • M. Anshel and D. Goldfeld, "Zeta Functions, One-Way Functions, and Pseudorandom Number Generators", Duke Mathematical Journal, Vol. 88 No. 2 (1997) 371-390. "In 1997,Anshel and Goldfeld [6],presented an explicit construction of a pseudorandom number generator arising from an elliptic curve,which can be effectively computed at low computational cost. They introduced a new intractable problem,distinct from integer factorization or the discrete log problem, that leads to a new class of one-way functions based on the theory of zeta functions,and against which there is no known attack."- Richard M. Mollin,"Introduction to Cryptography" CRC Press (2000)
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Structure and randomness in combinatorics « What's new - 0 views

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    I've just uploaded to the arXiv my lecture notes "Structure and randomness in combinatorics" for my tutorial at the upcoming FOCS 2007 conference in October. This tutorial covers similar ground as my ICM paper (or slides), or my first two Simons lectures, but focuses more on the "nuts-and-bolts" of how structure theorems actually work to separate objects into structured pieces and pseudorandom pieces, for various definitions of "structured" and "pseudorandom".  Given that the target audience consists of computer scientists, I have focused exclusively here on the combinatorial aspects of this dichotomy (applied for instance to functions on the Hamming cube) rather than, say, the ergodic theory aspects (which are covered in Bryna Kra's lecture notes from Montreal, or my notes from Montreal for that matter).  While most of the known applications of these decompositions are number-theoretic (e.g. my theorem with Ben Green), the number theory aspects are not covered in detail in these notes.  (For that, you can read Bernard Host's Bourbaki article, Ben Green's http
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math.NT/0610050: The primes contain arbitrarily long polynomial progressions - 0 views

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    it is reasonable to conjecture that an analogous result to Theorem 1.3 also holds in higher dimensions.This is however still open even in the linear case, the key difficulty being that the tensor product of pseudorandom measures is not pseudorandom.
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Milliman Lecture I: Additive combinatorics and the primes « What's new - 0 views

  • However, it turns out that if one of the sets, say A, is sufficiently “uniform” or “pseudorandom”, then one can always solve this Goldbach-type problem, regardless of what the other two sets are. This type of fact is often established by Fourier-analytic means (or by closely related techniques, such as spectral theory), but let me give a heuristic combinatorial argument to indicate why one would expect this type of phenomenon to occur.
  • quares Primes Lagrange’s four square theorem: For every positive integer N, there exists a pattern in of the form . Vinogradov’s theorem: For every sufficiently large integer N, there exists a pattern in of the form . Fermat’s two square theorem: For every prime number , there exists a pattern in of the form . Even Goldbach conjecture: For every even number , there exists a pattern in of the form . Fermat’s four square theorem: There does not exist any pattern in of the form with . Green-Tao theorem: For any , there exist infinitely many patterns in of the form with . Pell’s equation: There are infinitely many patterns in of the form . Sophie Germain conjecture: There are infinitely many patterns in of the form .
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The Möbius and nilsequences conjecture « What's new - 0 views

  • There is an amusing way to interpret the conjecture (using the close relationship between nilsequences and bracket polynomials) as an assertion of the pseudorandomness of the Liouville function from a computational complexity perspective.   
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sol18.pdf (application/pdf 对象) - 0 views

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primes.pdf (application/pdf 对象) - 0 views

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[math/0603450] Pseudo Random test of prime numbers - 0 views

  • Pseudo Random test of prime numbers Authors: Wang Liang; Huang Yan (Submitted on 18 Mar 2006) Abstract: The prime numbers look like a randomly chosen sequence of natural numbers, but there is still no strict theory to determine 'Randomness'. In these years, cryptography has developed a battery of statistical tests for randomness. In this paper, we just apply these methods to study the distribution of primes. Here the binary sequence constructed by second difference of primes is used as samples. We find this sequence can't reach all the 'random standard' of FIPS 140-1/2, but still show obvious random feature. The interesting self-similarity is also observed in this sequence. These results add the evidence that prime numbers is a chaos system.
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math.CO/0604456: The ergodic and combinatorial approaches to Szemerédi's theorem - 0 views

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    The combinatorial and ergodic approaches may seem rather different at first glance, but we will try to emphasise the many similarities between them.
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