Factorization of Noncommutative Polynomials
スポンサーリンク
概要
- 論文の詳細を見る
Two factorization methods of a polynomial with noncommutative multiplication are proposed. One of the methods factorizes a noncommutative polynomial by computing coefficients of factors as factorization by constructing and solving several equations. We call this the naïve method. This is simple, but does not factorize efficiently. To do this efficiently, an alternative method. This is simple, but does not factorize efficiently. To do this efficiently, an alternative method is proposed, which is called the constant term method. This factorizes a noncommutative polynomial in one of two ways according to its constant term. If the constant term of a polynomial is zero, the polynomial is factorized by classifying its monomials based on the leftmost and rightmost variables and by linear combinations of polynomials. An irreducible factor is obtained from this factorization. If its constant term is not zero, first, the constant term is reduced to zero by linear transformations of variables and an extension of the coefficient field, and then, the polynomial is factorized in the same manner as when a constant term is zero. After that, by computing the least common multiple, an irreducible factor over the original domain is obtained from irreducible factors over the extension field. This method, however, cannot be applied to noncommutative polynomials whose constant terms cannot be reduced to zero. To factorize such noncommutative polynomials, the former method is used. It is shown that the latter method is faster than the former. In the two proposed methods, factorizations over a finite field are not used explicitly, comparing with the factorization algorithms for usual commutative polynomials.
- 一般社団法人情報処理学会の論文
- 1993-11-15
著者
-
MORI Kazuyoshi
Department of Earth and Ocean Sciences, National Defense Academy
-
Mori Kazuyoshi
Department Of Earth And Ocean Sciences National Defense Academy
-
Mori Kazuyoshi
Department Of Information & Computer Sciences Toyohashi University Of Technology
-
IIDA Saburou
School of Computer and Cognitive Sciences, Chukyo University
-
Iida Saburou
School Of Computer & Cognitive Sciences Chukyo University
関連論文
- Radiation Characteristics of Hexagonal Transducer Array
- 3-D FDTD Analysis of Sound Field Focused by Biconcave Acoustic Lens for Normal Incidence
- Consideration of Radiation Impedance Calculation Methods for Cylindrical Array Sound Source
- Applying the Multiple Signal Classification Method to Silent Object Detection Using Ambient Noise
- Effect of Received Beam Width on Passive Detection of Silent Target Using Ambient Noise
- Factorization of String Polynomials (Special Section on Discrete Mathematics and Its Applications)
- Factorization of Noncommutative Polynomials
- Design and Convergence Performance Analysis of Aspherical Acoustic Lens Applied to Ambient Noise Imaging in Actual Ocean Experiment
- Radiation Characteristics of Hexagonal Transducer Array
- Numerical Simulation of Target Range Estimation Using Ambient Noise Imaging with Acoustic Lens
- Evaluating Directional Resolution of Aplanatic Acoustic Lens for Designing Ambient Noise Imaging System
- Basic Study of Properties of Planate Acoustic Lens Constructed with Phononic Crystal Structure (Special Issue : Ultrasonic Electronics)
- Small-Scale Trial for Evaluating Directional Resolution of Single Spherical Biconcave Acoustic Lens in Designing of Ambient Noise Imaging System
- Finite Difference Time Domain Analysis of Underwater Acoustic Lens System for Ambient Noise Imaging
- Extraction of Target Scatterings from Received Transients on Target Detection Trial of Ambient Noise Imaging with Acoustic Lens
- Numerical Analysis of Sound Pressure Fields Focused by Phase Continuous Fresnel Lens Using Finite Difference Time Domain Method
- Consideration of Radiation Impedance Calculation Methods for Cylindrical Array Sound Source
- 3-D FDTD Analysis of Sound Field Focused by Biconcave Acoustic Lens for Normal Incidence
- Effect of Received Beam Width on Passive Detection of Silent Target Using Ambient Noise
- Relationship between Spatial Distribution of Noise Sources and Target Scatterings Observed in the 2010 Sea Trial of Ambient Noise Imaging
- Design of an Absolutely Aplanatic Acoustic Lens
- Applying the Multiple Signal Classification Method to Silent Object Detection Using Ambient Noise