Asymptotic Principal Values and Regularization Methods for Correlation Functions with Reflective Boundary Conditions | Zendy

Masafumi Seriu | Zendy

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Asymptotic Principal Values and Regularization Methods for Correlation Functions with Reflective Boundary Conditions

Author(s) -

Masafumi Seriu

Publication year - 2010

Publication title -

advances in optical technologies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.124

H-Index - 25

eISSN - 1687-6407

pISSN - 1687-6393

DOI - 10.1155/2010/798983

Subject(s) - regularization (linguistics) , principal value , computation , principal (computer security) , mathematics , principal part , asymptotology , principal component analysis , singular integral , asymptotic expansion , boundary value problem , mathematical analysis , integral equation , computer science , method of matched asymptotic expansions , algorithm , statistics , artificial intelligence , operating system

We introduce a concept of asymptotic principal values which enables us to handle rigorously singular integrals of higher-order poles encountered in the computation of various quantities basedon correlation functions of a vacuum. Several theorems on asymptotic principal values are proved, and they are expected to become bases for investigating and developing some classes of regularization methods for singular integrals.We make use of these theorems for analyzing mutual relations between some regularization methods,including a method naturally derived from asymptotic principal values. It turns out that theconcept of asymptotic principal values and the theorems for them are quite useful in this type ofanalysis, providing a suitable language to describe what is discarded and what is retained in eachregularization method

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