• Title/Summary/Keyword: Mathematical Processes

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DEPENDENCE IN M A MODELS WITH STOCHASTIC PROCESSES

  • KIM, TAE-SUNG;BAEK, JONG-IL
    • Honam Mathematical Journal
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    • v.15 no.1
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    • pp.129-136
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    • 1993
  • In this paper we present of a class infinite M A (moving-average) sequences of multivariate random vectors. We use the theory of positive dependence to show that in a variety of cases the classes of M A sequences are associated. We then apply the association to establish some probability bounds and moment inequalities for multivariate processes.

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ON THE CONTINUITY AND GAUSSIAN CHAOS OF SELF-SIMILAR PROCESSES

  • Kim, Joo-Mok
    • Journal of the Chungcheong Mathematical Society
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    • v.12 no.1
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    • pp.133-146
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    • 1999
  • Let {X(t), $t{\geq}0$} be a stochastic integral process represented by stable random measure or multiple Ito-Wiener integrals. Under some conditions, we prove the continuity and self-similarity of these stochastic integral processes. As an application, we get Gaussian chaos which has some shift continuous function.

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Mathematical thinking, its neural systems and implication for education (수학적 사고에 동원되는 두뇌 영역들과 이의 교육학적 의미)

  • Kim, Yeon Mi
    • The Mathematical Education
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    • v.52 no.1
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    • pp.19-41
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    • 2013
  • What is the foundation of mathematical thinking? Is it logic based symbolic language system? or does it rely more on mental imagery and visuo-spatial abilities? What kind of neural changes happen if someone's mathematical abilities improve through practice? To answer these questions, basic cognitive processes including long term memory, working memory, visuo-spatial perception, number processes are considered through neuropsychological outcomes. Neuronal changes following development and practices are inspected and we can show there are neural networks critical for the mathematical thinking and development: prefrontal-anterior cingulate-parietal network. Through these inquiry, we can infer the answer to our question.

INVARIANTS OF ONE-DIMENSIONAL DIFFUSION PROCESSES AND APPLICATIONS

  • Shinzo, Watanabe
    • Journal of the Korean Mathematical Society
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    • v.35 no.3
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    • pp.637-658
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    • 1998
  • One-dimensional diffusion processes are characterized by Feller's data of canonical scales and speed measures and, if we apply the theory of spectral functions of strings developed by M. G. Krein, Feller's data are determined by paris of spectral characteristic functions so that theses pairs may be considered as invariants of diffusions under the homeomorphic change of state spaces. We show by examples how these invariants are useful in the study of one-dimensional diffusion processes.

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H$\"{O}$LDER CONTINUITY OF H-SSSI S$\alpha$S PROCESSES

  • Kim, Joo-Mok
    • Communications of the Korean Mathematical Society
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    • v.15 no.1
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    • pp.123-131
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    • 2000
  • Let {X(t) : t $\geq$B 0} be a Symmetric $\alpha$ Stable and H-Self-similar process with stationary increments. We examine a.s. Holder unboundedness of S$\alpha$S H-sssi Chentsov processes and H-sssi Chentsov fields for order ${\gamma}$>H. Finally, we prove a.s. Holder continuity of S$\alpha$S H-sssi processes with ergodic seating transformations for the case of H>1/$\alpha$.

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