On Euclidean Methods for Cubic and Quartic Jacobi Symbols

07/20/2018
by   Eric Bach, et al.
0

We study the bit complexity of two methods, related to the Euclidean algorithm, for computing cubic and quartic analogs of the Jacobi symbol. The main bottleneck in such procedures is computation of a quotient for long division. We give examples to show that with standard arithmetic, if quotients are computed naively (by using exact norms as denominators, then rounding), the algorithms have Θ(n^3) bit complexity. It is a "folk theorem" that this can be reduced to O(n^2) by modifying the division procedure. We give a self-contained proof of this, and show that quadratic time is best possible for these algorithms (with standard arithmetic or not). We also address the relative efficiency of using reciprocity, as compared to Euler's criterion, for testing if a given number is a cubic or quartic residue modulo an odd prime. Which is preferable depends on the number of residue tests to be done. Finally, we discuss the cubic and quartic analogs of Eisenstein's even-quotient algorithm for computing Jacobi symbols in Z. Although the quartic algorithm was given by Smith in 1859, the version for cubic symbols seems to be new. As far as we know, neither was analyzed before. We show that both algorithms have exponential worst-case bit complexity. The proof for the cubic algorithm involves a cyclic repetition of four quotients, which may be of independent interest.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/27/2022

Cubic Goldreich-Levin

In this paper, we give a cubic Goldreich-Levin algorithm which makes pol...
research
12/30/2021

Fast algorithms for interpolation with L-splines for differential operators L of order 4 with constant coefficients

In the classical theory of cubic interpolation splines there exists an a...
research
12/10/2019

A Fast Self-correcting π Algorithm

We have rediscovered a simple algorithm to compute the mathematical cons...
research
04/28/2021

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

Probabilistic context-free grammars (PCFGs) with neural parameterization...
research
09/23/2019

Application of the Method of Conditional Expectations for Reduction of PAPR and Cubic Metric of OFDM Signals

The OFDM waveform exhibits high fluctuation in the signal envelope, whic...
research
06/25/2023

Regularized methods via cubic subspace minimization for nonconvex optimization

The main computational cost per iteration of adaptive cubic regularizati...
research
05/08/2019

The Method of Conditional Expectations for Cubic Metric Reduction in OFDM

High variations in the OFDM signal envelope cause nonlinear distortion i...

Please sign up or login with your details

Forgot password? Click here to reset