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Estimation of a quasi-Vandermonde determinant
Lemma 1. If $0\leq k_{1} $\det\left(\left[\begin{array}{cccc}
\lambda_{1}^{k_{1}} & \lambda_{1}^{k_{2}} & \cdots & \lambda_{1}^{k_{n}}\\
\lambda_{2}^{k_{1}} & \lambda_{2}^{k_{2}} & \cdots & \lambda_{2}^{k_{n}}\\
\vdots & \vdots & \ddots & \vdots\\
\lambda_{n}^{k_{1}} & \lambda_{n}^{k_{2}} & \cdots & \lambda_{n}^{k_{n}}
\end{array}\right]\right)$ can be estimated as $h(\lambda_{\overline{1,n}},n_{\lambda})\prod_{1\leq j_{1} where $h(\lambda_{\overline{1,n}},n_{\lambda})$ is a homogeneous polynomials with the order $n_{\lambda}$ on the $n$ -variables $\lambda_{\overline{1,n}}=\{\lambda_{1},\lambda_{2},\cdots,\lambda_{n}\}$ , and can be represented as $h(\lambda_{\overline{1,n}},n_{\lambda})=\sum_{\sum_{j=1}^{n}s_{j}=n_{\lambda}}g_{s_{\overline{1,n}}}\prod_{j=1}^{n}\lambda_{j}^{s_{j}}$ $n_{\lambda}=\sum_{j=1}^{n}\left(k_{j}-j+1\right)$ where $s_{\overline{1,n}}=\{s_{1},s_{2},\cdots,s_{n}\}$ , all $g_{s_{\overline{i,n}}}\geq0$ and there exist some $g_{s_{\overline{i,n}}}>0$ . The above result was given and proven, in Apr. 2017, and then is used in the volume computing of a class of special polyhedrons.
https://blog.sciencenet.cn/blog-3343777-1063861.html
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