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Lower bounds of the solution set of the polynomial complementarity problem

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Abstract

In the present paper, the lower bounds of the solution set of the polynomial complementarity problem (PCP) are investigated. PCP is to find a vector \({\varvec{x}}\in {\mathbb {R}}^{n}\) such that \({\varvec{x}}\ge {\varvec{0}}\), \({\mathcal {A}}_{1}{\varvec{x}}^{m-1}+{\mathcal {A}}_{2}{\varvec{x}}^{m-2}+ \ldots +{\mathcal {A}}_{m-1}{\varvec{x}}+{\varvec{q}}\ge {\varvec{0}}\) and \({\varvec{x}}^{\top }({\mathcal {A}}_{1}{\varvec{x}}^{m-1}+ {\mathcal {A}}_{2}{\varvec{x}}^{m-2}+\ldots +{\mathcal {A}}_{m-1}{\varvec{x}}+{\varvec{q}})=0\) with \({\mathcal {A}}_{l}\) being a given \((m+1-l)\)-order n-dimensional tensor for each \(l=1,2,\ldots ,m-1\) and a given vector \({\varvec{q}}\in {\mathbb {R}}^{n}\). It is easy to see that if \({\varvec{q}}\in {\mathbb {R}}^{n}_{+}\), then 0 is a tight lower bound on the norm of the solutions of PCP. To that end, for \({\varvec{q}}\in {\mathbb {R}}^{n}\backslash {\mathbb {R}}^{n}_{+}\), two new classes of tensor tuples, that is, \(l_{0}\)-\({\varvec{q}}\) tensor tuples and \(\alpha\)-\({\varvec{q}}\) tensor tuples, are introduced. Based on the structured tensor tuples, the lower bound formulas of the solution set of PCP are derived. The formulas presented in this paper are extensions of the formula proposed by Xu and Huang (Optim. Lett. 15: 2701-2718, 2021) from the tensor complementarity problem (TCP) to PCP. A comparison between the results in this paper and the corresponding result due to Ling, He and Ling (Optimization. 67: 341-358, 2018) is made.

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Acknowledgements

The authors are grateful to the editor and the reviewers for their helpful comments and suggestions, which have improved the presentation of the paper. This work was partially supported by National Natural Science Foundation of China (No.11961006) and Guangxi Natural Science Foundation (No. 2020GXNSFAA159100).

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Correspondence to Guo-ji Tang.

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Li, Xl., Shang, Tt. & Tang, Gj. Lower bounds of the solution set of the polynomial complementarity problem. Optim Lett 18, 497–511 (2024). https://doi.org/10.1007/s11590-023-02004-w

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