4.6 Article

Approximate iterative sequences for positive solutions of a Hadamard type fractional differential system involving Hadamard type fractional derivatives

Journal

AIMS MATHEMATICS
Volume 6, Issue 7, Pages 7229-7250

Publisher

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/math.2021424

Keywords

monotone iterative technique; fractional differential equation; Hadamard type fractional derivative; infinite interval

Funding

  1. Foundation of Anhui Provincial Education Department [KJ2020A0735, 2020jxtd286]
  2. Foundation of Suzhou University [2019XJZY02, 2019XJSN03, szxy2020xxkc03]
  3. China Postdoctoral Science Foundation [2019M652348]
  4. Natural Science Foundation of Chongqing [cstc2020jcyj-msxmX0123]
  5. Technology Research Foundation of Chongqing Educational Committee [KJQN201900539, KJQN202000528]
  6. Key Laboratory Open Issue of School of Mathematical Science, Chongqing Normal University [CSSXKFKTM202003]

Ask authors/readers for more resources

This paper focuses on a class of Hadamard type fractional differential system involving Hadamard type fractional derivatives on an infinite interval. By utilizing the monotone iterative technique and Banach's contraction mapping principle, some explicit monotone iterative sequences for approximating the extreme positive solutions and the unique positive solution for the system are constructed.
In this paper, we focus on a class of Hadamard type fractional differential system involving Hadamard type fractional derivatives on an infinite interval. By utilizing the monotone iterative technique and Banach's contraction mapping principle, some explicit monotone iterative sequences for approximating the extreme positive solutions and the unique positive solution for the system are constructed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available