http://www.dagstuhl.de/12421

### October 14 – 19 , 2012, Dagstuhl Seminar 12421

# Algebraic and Combinatorial Methods in Computational Complexity

## Organizers

Manindra Agrawal (Indian Institute of Technology – Kanpur, IN)

Thomas Thierauf (Hochschule Aalen, DE)

Christopher Umans (CalTech – Pasadena, US)

1 / 2 >

## For support, please contact

## Documents

Dagstuhl Report, Volume 2, Issue 10

List of Participants

Shared Documents

Dagstuhl's Impact: Documents available

## Summary

At its core, much of Computational Complexity is concerned with combinatorial objects and structures. But it has often proven true that the best way to prove things about these combinatorial objects is by establishing a connection (perhaps approximate) to a more well-behaved algebraic setting.

Indeed, many of the deepest and most powerful results in Computational Complexity rely on algebraic proof techniques. The PCP characterization of NP and the Agrawal-Kayal-Saxena polynomial-time primality test are two prominent examples.

Recently, there have been some works going in the opposite direction, giving alternative combinatorial proofs for results that were originally proved algebraically. These alternative proofs can yield important improvements because they are closer to the underlying problems and avoid the losses in passing to the algebraic setting. A prominent example is Dinur's proof of the PCP Theorem via gap amplification which yielded short PCPs with only a poly-logarithmic length blowup (which had been the focus of significant research effort up to that point). We see here (and in a number of recent works) an exciting interplay between algebraic and combinatorial techniques.

The seminar brought together more than 50 researchers covering a wide spectrum of complexity theory. The focus on algebraic and combinatorial methods showed the great importance of such techniques for theoretical computer science. We had 30 talks, most of them lasting about 40 minutes, leaving ample room for discussions.

As is evident from the list above, the talks ranged over a
broad assortment of subjects with the underlying theme of using
algebraic and combinatorial techniques. It was a very fruitful meeting
and has hopefully initiated new directions in research. Several participants specifically mentioned that they appreciated the particular
focus on a common class of *techniques* (rather than end
results) as a unifying theme of the workshop. We look forward
to our next meeting!

## Dagstuhl Seminar Series

- 16411: "Algebraic Methods in Computational Complexity" (2016)
- 14391: "Algebra in Computational Complexity" (2014)
- 09421: "Algebraic Methods in Computational Complexity" (2009)
- 07411: "Algebraic Methods in Computational Complexity " (2007)
- 04421: "Algebraic Methods in Computational Complexity" (2004)
- 02421: "Algebraic Methods in Quantum and Classical Models of Computation" (2002)

## Classification

- Data Structures
- Algorithm
- Complexity
- Security
- Cryptology

## Keywords

- Computational complexity
- Algebra
- Combinatoric
- (de-)randomization