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Computation of simple and group factors of multivariate polynomials

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Abstract

This paper generalizes a recent result onsimple factorization of 2-variable (2-v) polynomials to simple andgroup factorization ofn-variate (n-v), (n≥3) polynomials. The emphasis is on developing a reliablenumerical technique for factorization. It is shown that simple as well as group factorization can be achieved by performing singular value decomposition (SVD) on certain matrices obtained from the coefficients of the givenn-v polynomial expressed in a Kronecker product form. For the polynomials that do not have “exact” simple and/or group factors, the concepts of approximate simple and group factorization are developed. The use of SVD leads to an elegant solution of an approximaten factorization problem. Several nontrivial examples are included to illustrate the results presented in this paper.

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References

  1. N. K. Bose, ed.,Multidimensional Systems: Theory and Applications, IEEE Press, Washington, D.C., 1979.

    Google Scholar 

  2. N. K. Bose,Applied Multidimensional System Theory, Van Nostrand Reinhold, New York, 1981.

    Google Scholar 

  3. J. W. Brewer, Matrix calculus and the sensitivity analysis of linear dynamical systems,IEEE Trans. Automat. Contr. AC-23 (1978), 748–751.

    Google Scholar 

  4. S. Chakrabarti, N. K. Bose, and S. K. Mitra, Sum and product separabilities of multivariable functions and applications,J. Franklin Inst. 299 (1975), 53–66.

    Google Scholar 

  5. M. G. Ekstrom and S. K. Mitra, eds.,Two Dimensional Signal Processing, Dowden, Hutchinson and Ross, New York, 1978.

    Google Scholar 

  6. E. I. Jury, Stability of multidimensional scalar and matrix polynomials,Proc. IEEE 66 (1978), 1018–1038.

    Google Scholar 

  7. S.-Y. Kung, B. C. Levy, and T. Kailath, New results in 2-D systems theory, Part II: 2-D state space models—Realization and the notions of controllability, observability and minimality,Proc. IEEE 65 (1977), 945–961.

    Google Scholar 

  8. P. Misra and R. V. Patel, Simple factorizability of 2-dimensional polynomials,1990 Int. Symp. Circuits Syst., New Orleans, 1207–1210, 1990.

  9. D. R. Musser, Multivariate polynomial factorization,J. Assoc. Comput. Mach. 22 (1975), 291–308.

    Google Scholar 

  10. N. J. Theodorou and S. G. Tzafestas, Reducibility and factorizability of multivariable polynomials: Overview and new results,Control Theory Adv. Tech. 1 (1985), 25–46.

    Google Scholar 

  11. S. Treitel and J. L. Shanks, The design of multistage separable planar filters,IEEE Trans. Geosci. Electron 9 (1971), 10–27.

    Google Scholar 

  12. S. G. Tzafestas, ed.,Multidimensional Systems: Techniques and Applications, Marcel Dekker, New York, 1986.

    Google Scholar 

  13. P. S. Wang, An improved multivariate polynomial factoring algorithm,Math. Comput. 32 (1978), 1215–1231.

    Google Scholar 

  14. P. S. Wang, Factoring multivariate polynomials over algebraic number fields,Math. Comput. 30 (1978), 324–336.

    Google Scholar 

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Research supported by WRDC grant F33615-88-C-3605, NSF grant ECS-9110636, and NSERC of Canada grant A1345.

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Misra, P., Gu, G. & Patel, R.V. Computation of simple and group factors of multivariate polynomials. Circuits Systems and Signal Process 16, 455–473 (1997). https://doi.org/10.1007/BF01198062

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  • DOI: https://doi.org/10.1007/BF01198062

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