Abstract
We introduce the notion of the full rank representation of a real algebraic set, which represents it as the projection of a union of real algebraic manifolds \(V_{\mathbb {R}}(F_i)\) of \(\mathbb {R}^m\), \(m\ge n\), such that the rank of the Jacobian matrix of each \(F_i\) at any point of \(V_{\mathbb {R}}(F_i)\) is the same as the number of polynomials in \(F_i\).
By introducing an auxiliary variable, we show that a squarefree regular chain T can be transformed to a new regular chain C having various nice properties, such as the Jacobian matrix of C attains full rank at any point of \(V_{\mathbb {R}}(C)\). Based on a symbolic triangular decomposition approach and a numerical critical point technique, we present a hybrid algorithm to compute a full rank representation.
As an application, we show that such a representation allows to better visualize plane and space curves with singularities. Effectiveness of this approach is also demonstrated by computing witness points of polynomial systems having rank-deficient Jacobian matrices.
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Acknowledgements
The authors would like to thank Hoon Hong and anonymous reviewers for their helpful comments. This work is partially supported by the projects NSFC (11471307, 11671377, 61572024), cstc2015jcyjys40001, and the Key Research Program of Frontier Sciences of CAS (QYZDB-SSW-SYS026).
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Chen, C., Wu, W., Feng, Y. (2017). Full Rank Representation of Real Algebraic Sets and Applications. In: Gerdt, V., Koepf, W., Seiler, W., Vorozhtsov, E. (eds) Computer Algebra in Scientific Computing. CASC 2017. Lecture Notes in Computer Science(), vol 10490. Springer, Cham. https://doi.org/10.1007/978-3-319-66320-3_5
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