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Parametric “non-nested” discriminants for multiplicities of univariate polynomials

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Abstract

We consider the problem of complex root classification, i.e., finding the conditions on the coefficients of a univariate polynomial for all possible multiplicity structures on its complex roots. It is well known that such conditions can be written as conjunctions of several polynomial equalities and one inequality in the coefficients. Those polynomials in the coefficients are called discriminants for multiplicities. It is also known that discriminants can be obtained by using repeated parametric gcd’s. The resulting discriminants are usually nested determinants, i.e., determinants of matrices whose entries are determinants, and so on. In this paper, we give a new type of discriminants which are not based on repeated gcd’s. The new discriminants are simpler in the sense that they are non-nested determinants and have smaller maximum degrees.

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Acknowledgements

Hoon Hong was supported by National Science Foundations of USA (Grant Nos. 2212461 and 1813340). Jing Yang was supported by National Natural Science Foundation of China (Grant Nos. 12261010 and 11801101).

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Hong, H., Yang, J. Parametric “non-nested” discriminants for multiplicities of univariate polynomials. Sci. China Math. (2024). https://doi.org/10.1007/s11425-023-2143-3

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  • DOI: https://doi.org/10.1007/s11425-023-2143-3

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