• Title/Summary/Keyword: Several complex variables

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NORM CONVERGENT PARTIAL SUMS OF TAYLOR SERIES

  • YANG, JONGHO
    • Bulletin of the Korean Mathematical Society
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    • v.52 no.5
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    • pp.1729-1735
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    • 2015
  • It is known that the partial sum of the Taylor series of an holomorphic function of one complex variable converges in norm on $H^p(\mathbb{D})$ for 1 < p < ${\infty}$. In this paper, we consider various type of partial sums of a holomorphic function of several variables which also converge in norm on $H^p(\mathbb{B}_n)$ for 1 < p < ${\infty}$. For the partial sums in several variable cases, some variables could be chosen slowly (fastly) relative to other variables. We prove that in any cases the partial sum converges to the original function, regardlessly how slowly (fastly) some variables are taken.

CHARACTERIZATIONS OF SEVERAL SPLIT REGULAR FUNCTIONS ON SPLIT QUATERNION IN CLIFFORD ANALYSIS

  • Kang, Han Ul;Cho, Jeong Young;Shon, Kwang Ho
    • East Asian mathematical journal
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    • v.33 no.3
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    • pp.309-315
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    • 2017
  • In this paper, we investigate the regularities of the hyper-complex valued functions of the split quaternion variables. We define several differential operators for the split qunaternionic function. We research several left split regular functions for each differential operators. We also investigate split harmonic functions. And we find the corresponding Cauchy-Riemann system and the corresponding Cauchy theorem for each regular functions on the split quaternion field.

Text mining-based Data Preprocessing and Accident Type Analysis for Construction Accident Analysis (건설사고 분석을 위한 텍스트 마이닝 기반 데이터 전처리 및 사고유형 분석)

  • Yoon, Young Geun;Lee, Jae Yun;Oh, Tae Keun
    • Journal of the Korean Society of Safety
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    • v.37 no.2
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    • pp.18-27
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    • 2022
  • Construction accidents are difficult to prevent because several different types of activities occur simultaneously. The current method of accident analysis only indicates the number of occurrences for one or two variables and accidents have not reduced as a result of safety measures that focus solely on individual variables. Even if accident data is analyzed to establish appropriate safety measures, it is difficult to derive significant results due to a large number of data variables, elements, and qualitative records. In this study, in order to simplify the analysis and approach this complex problem logically, data preprocessing techniques, such as latent class cluster analysis (LCCA) and predictor importance were used to discover the most influential variables. Finally, the correlation was analyzed using an alluvial flow diagram consisting of seven variables and fourteen elements based on accident data. The alluvial diagram analysis using reduced variables and elements enabled the identification of accident trends into four categories. The findings of this study demonstrate that complex and diverse construction accident data can yield relevant analysis results, assisting in the prevention of accidents.

COMPLEX SCALING AND GEOMETRIC ANALYSIS OF SEVERAL VARIABLES

  • Kim, Kang-Tae;Krantz, Steven G.
    • Bulletin of the Korean Mathematical Society
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    • v.45 no.3
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    • pp.523-561
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    • 2008
  • The purpose of this paper is to survey the use of the important method of scaling in analysis, and particularly in complex analysis. Applications are given to the study of automorophism groups, to canonical kernels, to holomorphic invariants, and to analysis in infinite dimensions. Current research directions are described and future paths indicated.

SOME RESULTS INVOLVING THE MULTIPLE H FUNCTION

  • Mathur, B.L.;Krishna, Shri
    • Kyungpook Mathematical Journal
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    • v.18 no.2
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    • pp.239-244
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    • 1978
  • The object of the present paper is to obtain certain results involving the H function of several complex variables. An integral involving the generalized Whittaker functions and the multiple H function has been evaluated and this result has been further utilized in finding out an expansion formula for the multiple H function in terms of the Laguerre polynomials. Some particular cases of interest have also been indicated.

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IN INTEGRAL TRANSFORM INVOLVING TWO GENERALISED H-FUNCTIONS

  • Sharma, S.D.
    • Kyungpook Mathematical Journal
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    • v.19 no.1
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    • pp.119-125
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    • 1979
  • In the present paper we study a new integral transform whose kernel involves the product of two H-functions of two complex variables. Next, we establish an inversion formula for this new transform. On account of very general nature of its kernel, several other integral transforms studies earlier by many research workers viz., Bose (1952), Mukherji (1962), Nigam (1963), Rathie (1965), Singh (1969), Mittal & Goel (1973), and Gupta, Garg & Kalla (1975), follow as its particular cases.

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RELATIONS OF L-REGULAR FUNCTIONS ON QUATERNIONS IN CLIFFORD ANALYSIS

  • KANG, HAN UL;SHON, KWANG HO
    • East Asian mathematical journal
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    • v.31 no.5
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    • pp.667-675
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    • 2015
  • In this paper, we provide some properties of several left regular functions in Clifford analysis. We find the corresponding Cauchy-Riemann system and conjugate harmonic functions of the harmonic functions, for each left regular function in the sense of several complex variables. And we investigate certain properties of generalized quaternions in Clifford analysis.

Optimization of Sheet Metal Forming Process Based on Two-Attribute Robust Design Methodology (2속성 강건 설계를 이용한 박판성형공정의 최적화)

  • Kim, Kyung-Mo;Yin, Jeong-Je;Park, Jong-Cheon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.13 no.2
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    • pp.55-63
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    • 2014
  • Fractures and wrinkles are two major defects frequently found in the sheet metal forming process. The process has several noise factors that cannot be ignored when determining the optimal process conditions. Therefore, without any countermeasures against noise, attempts to reduce defects through optimal design methods have often led to failure. In this study, a new and robust design methodology that can reduce the possibility of formation of fractures and wrinkles is presented using decision-making theory. A two-attribute value function is presented to form the design metric for the sheet metal forming process. A modified complex method is adopted to isolate the optimal robust design variables. One of the major limitations of the traditional robust design methodology, which is based on an orthogonal array experiment, is that the values of the optimal design variables have to coincide with one of the experimental levels. As this restriction is eliminated in the complex method, a better solution can be expected. The procedure of the proposed method is illustrated through a robust design of the sheet metal forming process of a side member of an automobile body.