Almost Independent Binary Random Variables
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open in viewerA collection C of binary n-tuples is considered t-wise independent if the projection onto any t coordinates is uniformly distributed as c is chosen uniformly from C. Notice that for C to be t-wise independent, |C| must be greater than 2^t; for many applications this is too large. The aim of this project is to decrease the size of |C| while still allowing the projection onto any t coordinates to appear uniformly distributed in {0, 1}^t. In this paper I will be presenting two definitions for almost t-wise independence. Through coding theory tools I will show bounds imposed on the size of C based on those definitions. Through known constructions of almost independent binary random variables, I will then demonstrate how the definitions and bounds I established apply to these constructions.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-042709-214204
- Advisor
- Year
- 2009
- Date created
- 2009-04-27
- Resource type
- Major
- Rights statement
- Last modified
- 2021-01-06
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Almost_Independent_Binary_Random_Variables.pdf | Public | Download |
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