• Title/Summary/Keyword: Recurrence relation

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SOME RECURRENCE RELATIONS OF MULTIPLE ORTHOGONAL POLYNOMIALS

  • Lee, Dong-Won
    • Journal of the Korean Mathematical Society
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    • v.42 no.4
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    • pp.673-693
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    • 2005
  • In this paper, we first find a necessary and sufficient condition for the existence of multiple orthogonal polynomials by the moments of a pair of measures $(d{\mu},\;dv)$ and then give representations for multiple orthogonal polynomials. We also prove four term recurrence relations for multiple orthogonal polynomials of type II and several interesting relations for multiple orthogonal polynomials are given. A generalized recurrence relation for multiple orthogonal polynomials of type I is found and then four term recurrence relations are obtained as a special case.

Recurrence Relation and Characterization of The Rayleigh Distribution Using Order Statistics

  • Lee, In-Suk;Kim, Sang-Moon
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.2
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    • pp.299-311
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    • 1999
  • In this paper the single and product moments of order statistics of the doubly truncated Rayleigh distribution are studied. Some recurrence relations of order statistics are derived. Using order statistics, also characterization of the Rayleigh distribution are derived.

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A RECURRENCE RELATION FOR THE JONES POLYNOMIAL

  • Berceanu, Barbu;Nizami, Abdul Rauf
    • Journal of the Korean Mathematical Society
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    • v.51 no.3
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    • pp.443-462
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    • 2014
  • Using a simple recurrence relation, we give a new method to compute the Jones polynomials of closed braids: we find a general expansion formula and a rational generating function for the Jones polynomials. The method is used to estimate the degree of the Jones polynomials for some families of braids and to obtain general qualitative results.

A RECURRENCE RELATION ASSOCIATED WITH UNIT-PRIMITIVE MATRICES

  • Byeong-Gil Choe;Hyeong-Kwan Ju
    • Honam Mathematical Journal
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    • v.46 no.1
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    • pp.136-145
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    • 2024
  • In this paper we obtained several properties that the characteristic polynomial of the unit-primitive matrix satisfies. In addition, using these properties we have shown that the recurrence relation given as in the formula (1) is true. In fact, Xin and Zhong ([4]) showed it earlier. However, we provide a simpler method here.

Investigation of Lithium Transference Number in PMMA Composite Polymer Electrolytes Using Monte Carlo (MC) Simulation and Recurrence Relation

  • Koh, Renwei Eric;Sun, Cha Chee;Yap, Yee Ling;Cheang, Pei Ling;You, Ah Heng
    • Journal of Electrochemical Science and Technology
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    • v.12 no.2
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    • pp.217-224
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    • 2021
  • In this study, Monte Carlo (MC) simulation is conducted with recurrence relation to study the effect of SiO2 with different particle size and their roles in enhancing the ionic conductivity and lithium transference number of PMMA composite polymer electrolytes (CPEs). The MC simulated ionic conductivity is verified with the measurements from Electrochemical Impedance Spectroscopy (EIS). Then, the lithium transference number of CPEs is calculated using recurrence relation with the MC simulated current density and the reference transference number obtained. Incorporation of micron-size SiO2 (≤10 ㎛) fillers into the mixture improves the ionic conductivity from 8.60×10-5 S/cm to 2.35×10-4 S/cm. The improvement is also observed on the lithium transference number, where it increases from 0.088 to 0.3757. Furthermore, the addition of nano-sized SiO2 (≤12 nm) fillers further increases the ionic conductivity up towards 3.79×10-4 S/cm and lithium transference number of 0.4105. The large effective surface area of SiO2 fillers is responsible for the improvement in ionic conductivity and the transference number in PMMA composite polymer electrolytes.

Recurrence Relations in the Transformed Exponential Distributions

  • Choi, Jeen-Kap;Mo, Kap-Jong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.1031-1044
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    • 2003
  • In this paper, we establish some recurrence relations of the moments, product moments, percentage points, and modes of order statistics from the transformed exponential distribution.

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