EconPapers    
Economics at your fingertips  
 

Norm-Resolvent Convergence for Neumann Laplacians on Manifold Thinning to Graphs

Kirill D. Cherednichenko, Yulia Yu. Ershova and Alexander V. Kiselev ()
Additional contact information
Kirill D. Cherednichenko: Department of Mathematical Sciences, University of Bath, Claverton Down, Bath BA2 7AY, UK
Yulia Yu. Ershova: Department of Mathematics, Texas A&M University, College Station, TX 77843-3368, USA
Alexander V. Kiselev: Department of Mathematical Sciences, University of Bath, Claverton Down, Bath BA2 7AY, UK

Mathematics, 2024, vol. 12, issue 8, 1-21

Abstract: Norm-resolvent convergence with an order-sharp error estimate is established for Neumann Laplacians on thin domains in R d , d ≥ 2 , converging to metric graphs in the limit of vanishing thickness parameter in the “resonant” case. The vertex matching conditions of the limiting quantum graph are revealed as being closely related to those of the δ ′ type.

Keywords: PDE; quantum graphs; generalised resolvent; thin structures; norm-resolvent asymptotics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/8/1161/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/8/1161/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:8:p:1161-:d:1374775

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:12:y:2024:i:8:p:1161-:d:1374775