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The pupose of the research is to develops public key encryption and digital signature shemes based on matrix canonical decomposition problem, or matrix diagonalization problem over Z/n, the ring of integers with modulo-n addition and multiplication in particular, where n is an RSA modulus.

本课题研究基于矩阵经典分解问题,特别是Z/n上矩阵对角化问题的公钥密码与数字签名算法,其中n是一个RSA模数。新算法采用由一个矩阵多项式构成的多维单向陷门函数,其单向性由矩阵对角分解问题(即通过相似变换将矩阵化为对角型的问题)的复杂性来保障,对该函数求逆的陷门由矩阵的特征值或特征向量提供。

In this paper, the concept of congruent diagonalization of matrix is presented, and the problem of diagonalization of one matrix is generalized.

提出矩阵合同对角化概念,对一个矩阵对角化问题进行推广思考,讨论了二个矩阵的同时对角化问题,取得了一些结果,给出了有关算

By using the properties of part matrix elements in N1 , and by looking for positive diagonal matrix factors, we present some new sufficient conditions of generalized strictly diagonally dominant matrix and improve the recent results.

第二章在行非严格对角占优集N_1划分为N_1~(1)与N_1~(2)的直和N_1~(1)⊕N_1~(2)的条件下,利用下标在N_1上部分矩阵元素的性质,寻求正对角矩阵因子,给出了广义严格对角占优矩阵的几个新的充分条件,同时改进了近期的一些结果。

The second part is the judge method and its improvement method of a matrix is a diagonally dominant matrix: Introduces some basic methods to judge a matrix be a diagonally dominant matrix .Gives some improvement methods, and some number examples.

第二部分为广义严格对角占优矩阵的判定方法及其改进:介绍判定广义严格对角占优矩阵的一些基本方法,给出一些广义严格对角占优矩阵判定方法的改进,并给出数值例子。

In chapter three, at first we introduces two kinds locally double αdiagonally dominant matrix from the concept of αdiagonally dominant matrix, by using this conception and the properties of αdiagonally dominant matrix and the techniques of inequalities, we discuss the relation of locally double αdiagonally dominant matrix and generalized strictly diagonally dominant matrix, according to these relations we obtain some effective criteria for generalized strictly diagonally dominant matrix.

在第三章中,首先由α-对角占优矩阵的定义,引进了两类局部双α对角占优矩阵,并利用它们及α-对角占优矩阵的性质,结合放缩不等式的技巧,讨论了局部双α对角占优矩阵与广义严格对角占优矩阵的关系,并由此得到判定广义严格对角占优矩阵的几个实用准则。

The third part is the judge method and its improvement method of a piece matrix is a diagonally dominant matrix: By using the Schur repair property of matrices, gives the sufficient and necessary conditions to judge a piece matrix be a diagonally dominant matrix.

第三部分为分块广义严格对角占优矩阵的判定方法及其改进:利用矩阵Schur补的性质,给出判定分块广义严格对角占优矩阵的充要条件,并利用逐次降阶的方法,使一个任意阶矩阵A逐次降为只需要利用定义判定一个矩阵是否满足要求,从而判定A是否是广义严格对角占优矩阵。

Exterior Opposite Angle Area : According to one angle area of the triangle, if we extend the two angle lines to the opposite direction, the area formed by the extending lines which like mirror area to the original angle is called here Exterior Opposite Angle Area.

外部对角映射区:针对三角形的一个角,将构成该角的两条相邻线段进行对角方向的虚线,这两条虚线围成的区域就是该三角形一个角的外部对角映射区。

Exterior Opposite Angle Area: According to one angle area of the triangle, if we extend the two angle lines to the opposite direction, the area formed by the extending lines which like mirror area to the original angle is called here Exterior Opposite Angle Area.

外部对角映射区:针对三角形的一个角,将构成该角的两条相邻线段进行对角方外部对角映射区向的虚线,这两条虚线围成的区域就是该三角形一个角的外部对角映射区。

The following statements are proved:. A is equivalent to a diagonal matrix if and only if A is similar to a diagonal matrix.. If R is an APT ring, then A can be uniquely diagonalized as diag{e1,..., en} and ei divides ei+1.. R is an APT ring if and only if R/I is an APT ring, where I is a nilpotent ideal of R.

本文证明了以下结果:A相抵于一对角阵当且仅当A相似于一对角阵;若R是一APT环,则A在相似变换之下可唯一地化为对角形diag{e1,…,en},这里ei整除ei+1;R是APT环当且仅当R/I是APT环,这里I是环R的一幂零理想。

The characteristic vector of the real symmetric matrix should be found out, which is orthogonalized and normalized to a standard orthogonal base and is used as row vector to construct the transformation matrix P, so the P~(-1)AP can be made into diagonal matrix.

实对称矩阵A经相似变换P-1AP可化为对角矩阵,在x =Py 下,不一定能化A的二次型为标准型;应寻求对称矩阵A的特征向量,将其正交化并单位化作为标准正交基,作为列向量构造变换矩阵P,可使P-1AP=Λ为对角阵,在x =Py 下,要将二次型化为标准型,且二次项系数即为对角阵Λ主对角线上元素。

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