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Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing table of contents
Baltimore, MD, USA
SESSION: Session 1A table of contents
Pages: 1 - 10  
Year of Publication: 2005
ISBN:1-58113-960-8
Authors
Boaz Barak  Institute for Advanced Study, Princeton, NJ
Guy Kindler  Institute for Advanced Study, Princeton, NJ
Ronen Shaltiel  Haifa University, Haifa, Israel
Benny Sudakov  Princeton University, Princeton, NJ
Avi Wigderson  Institute for Advanced Study, Princeton, NJ
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A distribution X over binary strings of length n has min-entropy k if every string has probability at most 2-k in X. We say that X is a δ-source if its rate kn is at least δ.We give the following new explicit instructions (namely, poly(n)- time computable functions) of deterministicextractors, dispersers and related objects. All work for any fixed rate δ>0. No previous explicit construction was known for either of these, for any δ‹1⁄2. The first two constitute major progress to very long-standing open problems.

  1. Bipartite Ramsey f1: (0,1)n)2 →0,1, such that for any two independent δ-sources X1, X2 we have f1(X1,X2) = 0,1 This implies a new explicit construction of 2N-vertex bipartite graphs where no induced Nδ by Nδ subgraph is complete or empty.
  2. Multiple source extraction f2: (0,1n)3→0,1 such that for any three independent δ-sources X1,X2,X3 we have that f2(X1,X2,X3) is (o(1)-close to being) an unbiased random bit.
  3. Constant seed condenser2 f3: n →(0,1m)c, such that for any δ-source X, one of the c output distributions f3(X)i, is a 0.9-source over 0,1m. Here c is a constant depending only on δ.
  4. Subspace Ramsey f4: 0,1n→0,1 such that for any affine-δ-source3 X we have f4(X)= 0,1.
The constructions are quite involved and use as building blocks other new and known gadgets. But we can point out two important themes which recur in these constructions. One is that gadgets which were designed to work with independent inputs, sometimes perform well enough with correlated, high entropy inputs. The second is using the input to (introspectively) find high entropy regions within itself.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  7


REVIEW

"Leo P. Storme : Reviewer"

A distribution X over binary strings of length n has min-entropy k if every string has a probability of at most 2-k in X. This distribution X is a Δ-source if its rate k/n is at least Δ. Randomness extraction is the problem of  more...

Collaborative Colleagues:
Boaz Barak: colleagues
Guy Kindler: colleagues
Ronen Shaltiel: colleagues
Benny Sudakov: colleagues
Avi Wigderson: colleagues