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arXiv 1306.3867math.OC
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非共正的矩阵具有小于二次复杂度的证书

Integer matrices that are not copositive have certificates of less than quadratic complexity

Timo Hirscher

摘要:

实对称n次n矩阵称为余正矩阵,如果其对应的二次型在闭第一正交点上非负。如果矩阵不是上正的,则存在某个非负证明,其二次型是负的。由于标度性质,我们可以在原点的每个邻域中找到这样的证书,但它们的性质当然取决于矩阵,并且很难描述。然而,如果它是一个整数矩阵,我们保证证书的复杂性最多是一个常数乘以矩阵的二进制编码长度的3/2次方。

英文摘要:

A real symmetric n times n matrix is called copositive if the corresponding quadratic form is non-negative on the closed first orthant. If the matrix fails to be copositive there exists some non-negative certificate for which the quadratic form is negative. Due to the scaling property, we can find such certificates in every neighborhood of the origin but their properties depend on the matrix of course and are hard to describe. If it is an integer matrix however, we are guaranteed certificates of a complexity that is at most a constant times the binary encoding length of the matrix raised to the power 3/2.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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