collaborators

5 papers

math.AP2026

Large-time asymptotics for general cross-diffusion systems and novel convex Sobolev inequalities

Noah Geltner, Ansgar Jüngel

The exponential decay of weak solutions towards the constant steady state of general cross-diffusion systems in bounded domains with no-flux boundary conditions is investigated. Th…

math.AP2026

Improved weak-strong uniqueness for general cross-diffusion systems

Noah Geltner, Maria Heitzinger, Ansgar Jüngel

The weak-strong uniqueness of bounded solutions is established for a broad class of cross-diffusion systems, with or without volume-filling effects, and with or without full coerci…

math.AP2026

Analysis of a multispecies cross-diffusion Keller-Segel system with volume filling

Noah Geltner, Ansgar Jüngel, Mingyue Zhang

A chemotaxis-driven multiphase multispecies diffusion system, arising in the formation of vascular-like structures, is analyzed. The model couples porous-medium-type cross-diffusio…

math.AP2026

Well-posedness and asymptotic limits for a degenerate Keller-Segel system with volume filling

Noah Geltner, Ansgar Jüngel, Mingyue Zhang

A class of parabolic-parabolic Keller-Segel systems with degenerate diffusion and volume filling is studied in a bounded domain subject to no-flux boundary conditions. The equation…

math.AP2025

Chemotaxis guidance of random walkers modeling self-wiring of neural networks

Noah Geltner, Ansgar Jüngel

A stochastic walker model is proposed to describe the chemotactic guidance of growth cones, i.e. the tips of developing neurites. The model accounts for the influence of both attra…