애스크로AIPublic Preview
← 학술논문 검색
학술논문대한수학회보2011.03 발행KCI 피인용 5

Derivative of the Riesz-N[문자]gy-Tak[문자]cs function

Derivative of the Riesz-N[문자]gy-Tak[문자]cs function

백인수(부산외국어대학교)

48권 2호, 261~275쪽

초록

We give characterizations of the differentiability points and the non-differentiability points of the Riesz-N[문자]gy-Tak[문자]cs(RNT) singular function using the distribution sets in the unit interval. Using characterizations, we show that the Hausdorff dimension of the non-differentiability points of the RNT singular function is greater than 0 and the packing dimension of the infinite derivative points of the RNT singular function is less than 1. Further the RNT singular function is nowhere differentiable in the sense of topological magnitude, which leads to that the packing dimension of the non-differentiability points of the RNT singular function is 1. Finally we show that our characterizations generalize a recent result from the (기호, 기호 -1)-expansion associated with the RNT singular function adding a new result for a sufficient condition for the non-differentiability points.

Abstract

We give characterizations of the differentiability points and the non-differentiability points of the Riesz-N[문자]gy-Tak[문자]cs(RNT) singular function using the distribution sets in the unit interval. Using characterizations, we show that the Hausdorff dimension of the non-differentiability points of the RNT singular function is greater than 0 and the packing dimension of the infinite derivative points of the RNT singular function is less than 1. Further the RNT singular function is nowhere differentiable in the sense of topological magnitude, which leads to that the packing dimension of the non-differentiability points of the RNT singular function is 1. Finally we show that our characterizations generalize a recent result from the (기호, 기호 -1)-expansion associated with the RNT singular function adding a new result for a sufficient condition for the non-differentiability points.

발행기관:
대한수학회
분류:
수학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
Derivative of the Riesz-N[문자]gy-Tak[문자]cs function | 대한수학회보 2011 | AskLaw | 애스크로 AI