Concentration phenomena on Y -shaped metric graph for the Gierer–Meinhardt model with heterogeneity
Nonlinear Analysis, ISSN: 0362-546X, Vol: 205, Page: 112220
2021
- 8Citations
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations8
- Citation Indexes8
Article Description
In this paper, we consider the Gierer–Meinhardt model with the heterogeneity in both the activator and the inhibitor on the Y -shaped compact metric graph. Using the Lyapunov–Schmidt reduction method, we construct a one-peak stationary solution, which concentrates at a suitable point. In particular, we reveal that the location of concentration point is determined by the interaction of the heterogeneity function for the activator with the geometry of the domain, represented by the associated Green’s function. Moreover, based on our main result, we determine the precise location of concentration point for non-heterogeneity case. Furthermore, we also present the effect of heterogeneity by using a concrete example.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0362546X20303539; http://dx.doi.org/10.1016/j.na.2020.112220; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85097708708&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0362546X20303539; https://api.elsevier.com/content/article/PII:S0362546X20303539?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0362546X20303539?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/j.na.2020.112220
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know