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On random pm 1 matrices: singularity and determinant
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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 9B table of contents
Pages: 431 - 440  
Year of Publication: 2005
ISBN:1-58113-960-8
Authors
Terence Tao  UCLA, Los Angeles, CA
Van Vu  UCSD, La Jolla, CA
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

We proved several results concerning the determinant of a random pm 1 matrix. In particular, we show that with high probability, the determinant has absolute value very close to √n!.


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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