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Multi-dimensional uncertain differential equation: existence and uniqueness of solution

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Abstract

Multi-dimensional uncertain differential equation is a system of uncertain differential equations driven by a multi-dimensional Liu process. This paper first gives the analytic solutions of two special types of multi-dimensional uncertain differential equations. After that, it proves that the multi-dimensional uncertain differential equation has a unique solution provided that its coefficients satisfy the Lipschitz condition and the linear growth condition.

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References

  • Chen, X., & Liu, B. (2010). Existence and uniqueness theorem for uncertain differential equations. Fuzzy Optimization and Decision Making, 9(1), 69–81.

    Article  MathSciNet  MATH  Google Scholar 

  • Chen, X. (2011). American option pricing formula for uncertain financial market. International Journal of Operations Research, 8(2), 32–37.

    Google Scholar 

  • Chen, X., & Gao, J. (2013). Uncertain term structure model of interest rate. Soft Computing, 17(4), 597–604.

    Article  MathSciNet  MATH  Google Scholar 

  • Chen, X., & Ralescu, D. A. (2013). Liu process and uncertain calculus. Journal of Uncertainty Analysis and Applications, doi:10.1186/2195-5468-1-3.

  • Jiao, D., & Yao, K. (2015). An interest rate model in uncertain environment. Soft Computing, doi:10.1007/s00500-014-1301-1.

  • Liu, B. (2007). Uncertainty theory (2nd ed.). Berlin: Springer.

    MATH  Google Scholar 

  • Liu, B. (2008). Fuzzy process, hybrid process and uncertain process. Journal of Uncertain Systems, 2(1), 3–16.

    Google Scholar 

  • Liu, B. (2009). Some research problems in uncertainty theory. Journal of Uncertain Systems, 3(1), 3–10.

    Google Scholar 

  • Liu, B. (2010). Uncertainty theory: A branch of mathematics for modeling human uncertainty. Berlin: Springer.

    Book  Google Scholar 

  • Liu, B., & Yao, K. (2012). Uncertain integral with respect to multiple canonical processes. Journal of Uncertain Systems, 6(4), 250–255.

    Google Scholar 

  • Liu, B. (2013). Toward uncertain finance theory. Journal of Uncertainty Analysis and Applications, doi:10.1186/2195-5468-1-1.

  • Liu, B. (2014). Uncertainty distribution and independence of uncertain processes. Fuzzy Optimization and Decision Making, 13(3), 259–271.

    Article  MathSciNet  Google Scholar 

  • Liu, Y., & Ha, M. (2010). Expected value of function of uncertain variables. Journal of Uncertain Systems, 4(3), 181–186.

    Google Scholar 

  • Liu, Y. (2012). An analytic method for solving uncertain differential equations. Journal of Uncertain Systems, 6(4), 244–249.

    Google Scholar 

  • Liu, Y., Chen, X., & Ralescu, D. (2015). Uncertain currency model and currency option pricing. International Journal of Intelligent Systems, 30(1), 40–51.

    Article  Google Scholar 

  • Peng, J., & Yao, K. (2011). A new option pricing model for stocks in uncertainty markets. International Journal of Operations Research, 8(2), 18–26.

    MathSciNet  Google Scholar 

  • Peng, Z., & Iwamura, K. (2010). A sufficient and necessary condition of uncertainty distribution. Journal of Interdisciplinary Mathematics, 13(3), 277–285.

    Article  MathSciNet  MATH  Google Scholar 

  • Yao, K., Gao, J., & Gao, Y. (2013). Some stability theorems of uncertain differential equation. Fuzzy Optimization and Decision Making, 12(1), 3–13.

    Article  MathSciNet  Google Scholar 

  • Yao, K., & Chen, X. (2013). A numerical method for solving uncertain differential equations. Journal of Intelligent and Fuzzy Systems, 25(3), 825–832.

    MathSciNet  MATH  Google Scholar 

  • Yao, K. (2013a). Extreme values and integral of solution of uncertain differential equation. Journal of Uncertainty Analysis and Applications, 1, doi:10.1186/2195-5468-1-2.

  • Yao, K. (2013b). A type of nonlinear uncertain differential equations with analytic solution. Journal of Uncertainty Analysis and Applications, doi:10.1186/2195-5468-1-8.

  • Yao, K. (2014). Multi-dimensional uncertain calculus with Liu process. Journal of Uncertain Systems, 8(4), 244–254.

    Google Scholar 

  • Yao, K. (2015a). A formula to calculate the variance of uncertain variable. Soft Computing, doi:10.1007/s00500-014-1457-8.

  • Yao, K. (2015b). A no-arbitrage theorem for uncertain stock model. Fuzzy Optimization and Decision Making, doi:10.1007/s10700-014-9198-9.

  • Zhang, T., & Chen, B. (2013). Multi-dimensional canonical process. Information: An International Interdisciplinary Journal, 16(2A), 1025–1030.

    Google Scholar 

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Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant Nos. 71171191 and 71272177), and National Social Science Foundation of China (Grant No. 13CGL057).

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Correspondence to Jian Zhou.

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Ji, X., Zhou, J. Multi-dimensional uncertain differential equation: existence and uniqueness of solution. Fuzzy Optim Decis Making 14, 477–491 (2015). https://doi.org/10.1007/s10700-015-9210-z

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  • DOI: https://doi.org/10.1007/s10700-015-9210-z

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