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Uniqueness and perturbation bounds for sparse non-negative tensor equations |
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| Authors: | Dongdong Liu Wen Li Michael K Ng Seak-Weng Vong |
| Institution: | 1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, China2. School of Mathematical Sciences, South China Normal University, Guangzhou 510631, China3. Department of Mathematics, Hong Kong Baptist University, Hong Kong, China4. Department of Mathematics, University of Macau, Macau, China |
| Abstract: | We discuss the uniqueness and the perturbation analysis for sparse non-negative tensor equations arriving from data sciences. By two different techniques, we may get better ranges of parameters to guarantee the uniqueness of the solution of the tensor equation. On the other hand, we present some perturbation bounds for the tensor equation. Numerical examples are given to show the efficiency of the theoretical results. |
| Keywords: | Stochastic tensor tensor equation uniqueness perturbation |
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