Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A time-fractional Fisher–KPP equation for tumor growth: Analysis and numerical simulation
Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria.ORCID iD: 0000-0002-8360-7371
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Center for Societal Risk Research, CSR (from 2020).ORCID iD: 0000-0002-9743-8636
2026 (English)In: Communications in nonlinear science & numerical simulation, ISSN 1007-5704, E-ISSN 1878-7274, Vol. 159, p. 109911-109911, article id 109911Article in journal (Refereed) Published
Abstract [en]

We study a time-fractional Fisher–KPP equation involving a Riemann–Liouville fractional derivative acting on the diffusion term, as derived by Angstmann and Henry (Entropy, 22:1035, 2020). The model captures memory effects in diffusive population dynamics and serves as a framework for tumor growth modeling. We first establish local well-posedness of weak solutions. The analysis combines a Galerkin approximation with a refined a priori estimate based on a Bihari–Henry–Gronwall inequality, addressing the nonlinear coupling between the fractional diffusion and the reaction term. For small initial data, we further prove global well-posedness and asymptotic stability. A numerical method based on a nonuniform convolution quadrature scheme is then proposed and validated. Simulations demonstrate distinct dynamical behaviors compared to conventional formulations, emphasizing the physical consistency of the present model in describing tumor progression.

Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 159, p. 109911-109911, article id 109911
National Category
Natural Sciences
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:kau:diva-109338DOI: 10.1016/j.cnsns.2026.109911ISI: 001720659300001Scopus ID: 2-s2.0-105032865681OAI: oai:DiVA.org:kau-109338DiVA, id: diva2:2046677
Available from: 2026-03-17 Created: 2026-03-17 Last updated: 2026-04-14Bibliographically approved

Open Access in DiVA

fulltext(4026 kB)56 downloads
File information
File name FULLTEXT01.pdfFile size 4026 kBChecksum SHA-512
f76b31aefcd8d805ce9cd315aef99fa101655dcf998cb92868f43d5103dfb02f74df7c736256786f05d843940bf3dffd8621e78ae41ffe00e2d120e1451306d5
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Kavallaris, Nikos I.

Search in DiVA

By author/editor
Fritz, MarvinKavallaris, Nikos I.
By organisation
Department of Mathematics and Computer Science (from 2013)Center for Societal Risk Research, CSR (from 2020)
In the same journal
Communications in nonlinear science & numerical simulation
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 581 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf