« Simple Proofs of Some Determinant Complexity Lower Bounds
January 25, 2017, 12:10 PM - 1:00 PM
Location:
Mathematics Graduate Student Lounge -- 7th Floor
Rutgers University
Hill Center
Mathematics Department
110 Frelinghuysen Road
Piscataway, NJ 08854
Mrinal Kumar, Rutgers University
The determinant complexity of a polynomial P in F[X1, X2, ..., Xn] is the smallest k such that the there is a k*k matrix N, whose entries are linear forms in the X variables, such that P = Determinant(N). The problem of constructing explicit low degree polynomials P such that the determinant complexity of P is at least super-polynomial in n is an important problem in computer science and is closely related to an algebraic analog of the P vs NP question. We will see some very simple proofs of determinant complexity lower bounds for the power sum symmetric polynomials. The bounds obtained are essentially the best lower bound currently known for any explicit polynomial.