A Poisson formula for the sparse resultant
نویسندگان
چکیده
منابع مشابه
An Arithmetic Poisson Formula for the multi-variate resultant
In these pages we compute the expectation of several functions of multi-variate complex polynomials. The common thread of all our outcomes is the basic technique used in their proofs. The used techniques combine essentially the unitary invariance of Bombieri-Weyl’s Hermitian product and some elementary Integral Geometry. Using different combinations of these techniques we compute the expectatio...
متن کاملA Poisson formula for the Schrodinger operator
We prove a nonlinear Poisson type formula for the Schrödinger group. Such a formula had been derived in a previous paper by the authors, as a consequence of the study of the asymptotic behavior of nonlinear wave operators for small data. In this note, we propose a direct proof, and extend the range allowed for the power of the nonlinearity to the set of all short range nonlinearities. Moreover,...
متن کاملA Practical Method for the Sparse Resultant ( Extended
We propose an eecient method for computing the sparse resultant of a system of n + 1 polynomial equations in n unknowns. Our approach improves upon CE93] and constructs a smaller matrix whose determinant is a non-zero multiple of the resultant and from which the latter is easily recovered. For certain classes of systems, it attains optimality by expressing the resultant as a single determinant....
متن کاملHybrid Sparse Resultant Matrices for Bivariate Polynomials
We study systems of three bivariate polynomials whose Newton polygons are scaled copies of a single polygon. Our main contribution is to construct square resultant matrices, which are submatrices of those introduced by Cattani et al. (1998), and whose determinants are nontrivial multiples of the sparse (or toric) resultant. The matrix is hybrid in that it contains a submatrix of Sylvester type ...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the London Mathematical Society
سال: 2015
ISSN: 0024-6115
DOI: 10.1112/plms/pdu069