359 research outputs found

    Sums of products of polynomials in few variables : lower bounds and polynomial identity testing

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    We study the complexity of representing polynomials as a sum of products of polynomials in few variables. More precisely, we study representations of the form P=i=1Tj=1dQijP = \sum_{i = 1}^T \prod_{j = 1}^d Q_{ij} such that each QijQ_{ij} is an arbitrary polynomial that depends on at most ss variables. We prove the following results. 1. Over fields of characteristic zero, for every constant μ\mu such that 0μ<10 \leq \mu < 1, we give an explicit family of polynomials {PN}\{P_{N}\}, where PNP_{N} is of degree nn in N=nO(1)N = n^{O(1)} variables, such that any representation of the above type for PNP_{N} with s=Nμs = N^{\mu} requires TdnΩ(n)Td \geq n^{\Omega(\sqrt{n})}. This strengthens a recent result of Kayal and Saha [KS14a] which showed similar lower bounds for the model of sums of products of linear forms in few variables. It is known that any asymptotic improvement in the exponent of the lower bounds (even for s=ns = \sqrt{n}) would separate VP and VNP[KS14a]. 2. We obtain a deterministic subexponential time blackbox polynomial identity testing (PIT) algorithm for circuits computed by the above model when TT and the individual degree of each variable in PP are at most logO(1)N\log^{O(1)} N and sNμs \leq N^{\mu} for any constant μ<1/2\mu < 1/2. We get quasipolynomial running time when s<logO(1)Ns < \log^{O(1)} N. The PIT algorithm is obtained by combining our lower bounds with the hardness-randomness tradeoffs developed in [DSY09, KI04]. To the best of our knowledge, this is the first nontrivial PIT algorithm for this model (even for the case s=2s=2), and the first nontrivial PIT algorithm obtained from lower bounds for small depth circuits

    On the power of homogeneous depth 4 arithmetic circuits

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    We prove exponential lower bounds on the size of homogeneous depth 4 arithmetic circuits computing an explicit polynomial in VPVP. Our results hold for the {\it Iterated Matrix Multiplication} polynomial - in particular we show that any homogeneous depth 4 circuit computing the (1,1)(1,1) entry in the product of nn generic matrices of dimension nO(1)n^{O(1)} must have size nΩ(n)n^{\Omega(\sqrt{n})}. Our results strengthen previous works in two significant ways. Our lower bounds hold for a polynomial in VPVP. Prior to our work, Kayal et al [KLSS14] proved an exponential lower bound for homogeneous depth 4 circuits (over fields of characteristic zero) computing a poly in VNPVNP. The best known lower bounds for a depth 4 homogeneous circuit computing a poly in VPVP was the bound of nΩ(logn)n^{\Omega(\log n)} by [LSS, KLSS14].Our exponential lower bounds also give the first exponential separation between general arithmetic circuits and homogeneous depth 4 arithmetic circuits. In particular they imply that the depth reduction results of Koiran [Koi12] and Tavenas [Tav13] are tight even for reductions to general homogeneous depth 4 circuits (without the restriction of bounded bottom fanin). Our lower bound holds over all fields. The lower bound of [KLSS14] worked only over fields of characteristic zero. Prior to our work, the best lower bound for homogeneous depth 4 circuits over fields of positive characteristic was nΩ(logn)n^{\Omega(\log n)} [LSS, KLSS14]

    Phenomenology of two texture zero neutrino mass in left-right symmetric model with Z8×Z2Z_8 \times Z_2

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    We have done a phenomenological study on the neutrino mass matrix MνM_\nu favoring two zero texture in the framework of left-right symmetric model (LRSM) where type I and type II seesaw naturally occurs. The type I seesaw mass term is considered to be following a trimaximal mixing (TM) pattern. The symmetry realizations of these texture zero structures has been realized using the discrete cyclic abelian Z8×Z2Z8\times Z2 group in LRSM. We have studied six of the popular texture zero classes named as A1, A2, B1, B2, B3 and B4 favoured by neutrino oscillation data in our analysis. We basically focused on the implications of these texture zero mass matrices in low energy phenomenon like neutrinoless double beta decay (NDBD) and lepton flavour violation (LFV) in LRSM scenario. For NDBD, we have considered only the dominant new physics contribution coming from the diagrams containing purely RH current and another from the charged Higgs scalar while ignoring the contributions coming from the left-right gauge boson mixing and heavy light neutrino mixing. The mass of the extra gauge bosons and scalars has been considered to be of the order of TeV scale which is accessible at the colliders.Comment: 33 pages, 21 figures, 10 table
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