Here are some list of topics for the study project for this course. Here are some guidelines
for choosing the topic and working on the project. The number within bracket indicates suggested
number of people taking it up together. Please select your topic and inform me on or
before Jun 3, 2009. Grey color indicates the topic is already
taken up !.
Monotone Circuit Depth Lower Bounds(2) - (Assigned to Hongyu Liang and Jing He) By an interesting connection to communication complexity,
montone circuit depth lower bounds are obtained for various problems. The idea of this project is to explore
some of them.
Structural Properties of PP (1) - (Assigned to Xiaohui Bei)
This is a classical topic which goes back to the basic randomized algorithms. We skipped over some important
structural properties of the class PP in class. This project is to explore the stronger form of these results
that uses the power of "polynomials" again.
The reference is: PP is closed
under intersection by Richard Beigel, Nick Reingold, and Daniel Spielman. (STOC 1991, JCSS 1995)
Derandomizing Space Bounded Computations(2): We saw Nisan's derandomization of BPL to
simulate it using O(log^2 n) space. This result was improved again to O(log^1.5 n) by Saks and Zhou which was
further improved by Armoni. This project is to explore some of these papers.
Zero Knowledge Proof Systems(1): We will see interactive proofs briefly in this course.
This project explores another related area which is important from the complexity theory and cryptography
perspective. This area is vast, but this project could be started on with a specific direction in mind. A good
direction is to look at the paper : The
Complexity of Zero Knowledge by Salil Vadhan
Restricted Circuit Lower Bounds(2) - (Assigned to Hao Song and Shiteng Chen) In this project we explore the known lower bounds in restricted
arithmetic circuits.'
General Arithmetic Circuit Lower Bounds(1+1): For the general arithmetic circuit lower
bounds we do know some important informations. This project is to explore some of these
results.
More on Derandomization:(1+1): There are plenty of extensions of the Nisan-Wigderson
Hardness vs
Randomness derandomization paradigm. Each of them is a direction on the frontier on their own.