We prove explicit lower bounds for the smallest singular value and upper bounds for the condition number of rectangular, multivariate Vandermonde matrices with scattered nodes on the complex unit circle. Analogously to the Shannon-Nyquist criterion, the nodes are assumed to be separated by a constant divided by the used polynomial degree. If this constant grows linearly with the spatial dimension, the condition number is uniformly bounded. If it grows only logarithmically with the spatial dimension, the condition number grows slightly stronger than exponentially with the spatial dimension. Both results are quasi optimal and improve over all previously known results of such type.
翻译:我们证明,最小单值和最小单值的下限是最小的,对于在复杂单位圆上分散节点的矩形多变Vandermonde矩阵条件号的下限是明显的。与香农-Nyquist 标准相似,节点被假定为以常数除以使用的多角度水平分隔。如果该常数随着空间维度线性增长,则条件号是统一的。如果该常数仅与空间维度对齐增长,则条件数会比空间维度指数略强。这两个结果都几乎是最佳的,并且会比以前已知的此类结果都更好。