In Chapter 4, we want to introduce some results which can be related the value distributions of difference polynomials.
第四章,我们介绍亚纯函数的差分多项式的值分布论的结果。
参考来源 - Nevanlinna理论在差分多项式中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
结果表明，多参考点互相关差分模型能够有效地进行环境激励下的模态识别，并且多项式特征值法比增广矩阵法所得结果更好。
It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method.
然后，将差分公式展开，得出了直接用自变量的多项式形式表示的改进的EVERETT插值公式。
Then an improved EVERETT interpolation formula in the form of polynomial of the variable is obtained by developing the differential form.
显然，差分算子及其逆算子是阶乘幂多项式的方便工具。
Clearly, the difference operator or sum operator is the convenient tool for the polynomial of factorial powers.
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