# abstract

COMPUTER SCIENCE/DISCRETE MATH I | |

Topic: | Lower Bounds for Linear Degeneracy Testing |

Speaker: | Nir Ailon |

Affiliation: | Princeton University |

Date: | Monday, October 4 |

Time/Room: | 11:15am - 12:15pm/S-101 |

In the late nineties Erickson proved a remarkable lower bound on the decision tree complexity of one of the central problems of computational geometry: given $n$ numbers, do any $r$ of them add up to $0$? His lower bound of $\Omega(n^{\lceil r/2\rceil})$, for any fixed $r$, is optimal if the polynomials at the nodes are linear and at most $r$-variate. We generalize his bound to $s$-variate polynomials for $s>r$. Erickson's bound decays quickly as $r$ grows and never reaches above pseudo-polynomial: we provide an exponential improvement. Our arguments are based on three ideas: (i) a geometrization of Erickson's proof technique; (ii) the use of error-correcting codes; and (iii) a tensor product construction for permutation matrices.