Abstract
We study the stationary Keller–Segel chemotaxis models with logistic cellular growth over a one-dimensional region subject to the Neumann boundary condition. We show that nonconstant solutions emerge in the sense of Turing’s instability as the chemotaxis rate \({\chi}\) surpasses a threshold number. By taking the chemotaxis rate as the bifurcation parameter, we carry out bifurcation analysis on the system to obtain the explicit formulas of bifurcation values and small amplitude nonconstant positive solutions. Moreover, we show that solutions stay strictly positive in the continuum of each branch. The stabilities of these steady-state solutions are well studied when the creation and degradation rate of the chemical is assumed to be a linear function. Finally, we investigate the asymptotic behaviors of the monotone steady states. We construct solutions with interesting patterns such as a boundary spike when the chemotaxis rate is large enough and/or the cell motility is small.
Similar content being viewed by others
References
Baker M.D., Wolanin P.M., Stock J.B.: Signal transduction in bacterial chemotaxis. Bioessays 28, 9–22 (2006)
Biler P.: Local and global solvability of some parabolic system modelling chemotaxis. Adv. Math. Sci. Appl. 8, 715–743 (1998)
Biler P., Espejo E., Guerra I.: Blowup in higher dimensional two species chemotactic systems. Commun. Pure Appl. Anal. 12, 89–98 (2013)
Chertock A., Kurganov A., Wang X., Wu Y.: On a chemotaxis model with saturated chemotactic flux. Kinet. Relat. Models 5, 51–95 (2012)
Childress S., Percus J.K.: Nonlinear aspects of chemotaxis. Math. Biosci. 56, 217–237 (1983)
Conca C., Espejo E., Vilches K.: Remarks on the blowup and global existence for a two species chemotactic Keller–Segel system in \({{\mathbb{R}}^2}\). Eur. J. Appl. Math. 22, 553–580 (2011)
Conca C., Espejo E., Vilches K.: Sharp Condition for blow-up and global existence in a two species chemotactic Keller–Segel system in \({{\mathbb{R}}^2}\). Eur. J. Appl. Math. 24, 297–313 (2013)
Crandall M.G., Rabinowitz P.H.: Bifurcation from simple eigenvalues. J. Funct. Anal. 8, 321–340 (1971)
Crandall M.G., Rabinowitz P.H.: Bifurcation, perturbation of simple eigenvalues, and linearized stability. Arch. Ration. Mech. Anal. 52, 161–180 (1973)
Dormann D., Weijer C.: Chemotactic cell movement during Dictyostelium development and gastrulation. Curr. Opin. Genet. Dev. 16, 367–373 (2006)
Ei S.I., Izuhara H., Mimura M.: Spatio-temporal oscillations in the Keller–Segel system with logistic growth. Phys. D 277, 1–21 (2014)
Henry M., Hilhorst D., Schatzle R.: Convergence to a viscosity solution for an advection–reaction–diffusion equation arising from a chemotaxis-growth model. Hiroshima Math. J. 29, 591–630 (1999)
Herrero M.A., Velazquez J.J.L.: Chemotactic collapse for the Keller–Segel model. J. Math. Biol. 35, 583–623 (1996)
Hillen T., Painter K.J.: A user’s guidence to PDE models for chemotaxis. J. Math. Biol. 58, 183–217 (2009)
Horstmann D.: From 1970 until now: the Keller–Segel model in Chemotaxis and its consequences I. Jahresber DMV 105, 103–165 (2003)
Horstmann D.: From 1970 until now: the Keller–Segel model in Chemotaxis and its consequences II. Jahresber DMV 106, 51–69 (2003)
Horstmann D.: Generalizing the Keller–Segel model: Lyapunov functionals, steady state analysis, and blowup results for multispecies chemotaxis models in the presence of attraction and repulsion between competitive interacting species. J. Nonlinear Sci. 21, 231–270 (2011)
Horstmann D., Winkler M.: Boundedness vs. blow-up in a chemotaxisi system. J. Differ. Equ. 215, 52–107 (2005)
Jin L., Wang Q., Zhang Z.: Pattern formation in Keller–Segel chemotaxis models with logistic growth. Int. J. Bifurc. Chaos 26, 1650033-1–1650033-15 (2016)
Kato T.: Functional Analysis. Classics in Mathematics. Springer, New York (1996)
Keller E.F., Segel L.A.: Inition of slime mold aggregation view as an instability. J. Theor. Biol. 26, 399–415 (1970)
Keller E.F., Segel L.A.: Model for chemotaxis. J. Theor. Biol. 30, 225–234 (1971)
Keller E.F., Segel L.A.: Traveling bands of chemotactic bacteria: a theretical analysis. J. Theor. Biol. 30, 235–248 (1971)
Kolokolnikov T., Wei J., Alcolado A.: Basic mechanisms driving complex spike dynamics in a chemotaxis model with logistic growth. SIAM J. Appl. Math. 74, 1375–1396 (2014)
Kuto K., Osaki K., Sakurai T., Tsujikawa T.: Spatial pattern formation in a chemotaxis–diffusion–growth model. Phys. D 241, 1629–1639 (2012)
Kuto K., Tsujikawa T.: Limiting structure of steady-states to the Lotka–Volterra competition model with large diffusion and advection. J. Differ. Equ. 258, 1801–1858 (2015)
Lin C.-S., Ni W.-M., Takagi I.: Large amplitude stationary solutions to a chemotaxis system. J. Differ. Equ. 72, 1–27 (1988)
Lou Y.: On the effects of migration and spatial heterogeneity on single and multiple species. J. Differ. Equ. 223, 400–426 (2006)
Lou, Y.: Some challenging mathematical problems in evolution of dispersal and population dynamics, Tutorials in mathematical biosciences. IV, 171205, Lecture Notes in Math., 1922, Springer, Berlin (2008)
Ma M., Ou C., Wang Z.-A.: Stationary solutions of a volume filling chemotaxis model with logistic growth. SIAM J. Appl. Math. 72, 740–766 (2012)
Mimura M., Tsujikawab T.: Aggregating pattern dynamics in a chemotaxis model including growth. Phys. A 230, 499–543 (1996)
Nakaguchi E., Osaki K.: Global existence of solutions to a parabolic–parabolic system for chemotaxis with weak degradation. Nonlinear Anal. 74, 286–297 (2011)
Nanjundiah V.: Chemotaxis, signal relaying and aggregation morphology. J. Theor. Biol. 42, 63–105 (1973)
Ni W.-M.: Diffusion, cross-diffusion, and their spike layer steady states. Not. Am. Math. Soc. 15, 9–18 (1998)
Ni W.-M., Takagi I.: On the shape of least-energy solutions to a semilinear Neumann problem. Commun. Pure Appl. Math. 44, 819–851 (1991)
Ni W.-M., Takagi I.: Location of the peaks of least energy solutions to a semilinear Neumann problem. Duke Math. J. 72, 247–281 (1993)
Osaki K., Tsujikawa T., Yagi A., Mimura M.: Exponential attractor for a chemotaxis-growth system of equations. Nonlinear Anal. 51, 119–144 (2002)
Osaki K., Yagi A.: Finite dimensional attractor for one-dimensional Keller–Segel equations. Funkc. Ekvac. 44, 441–469 (2001)
Painter K.J., Hillen T.: Spatio-temporal chaos in a chemotaxis model. Phys. D 240, 363–375 (2011)
Pejsachowicz J., Rabier P.J.: Degree theory for C 1 Fredholm mappings of index 0. J. Anal. Math. 76, 289–319 (1998)
Shi J., Wang X.: On global bifurcation for quasilinear elliptic systems on bounded domains. J. Differ. Equ. 246, 2788–2812 (2009)
Simonett G.: Center manifolds for quasilinear reaction–diffusion systems. Differ. Integral Equ. 8, 753–796 (1995)
Tello J.I., Winkler M.: A chemotaxis system with logistic source. Commun. Partial Differ. Equ. 32, 849–877 (2007)
Tello J.I., Winkler M.: Stabilization in a two-species chemotaxis system with a logistic source. Nonlinearity 25, 1413–1425 (2012)
Tello J.I., Winkler M.: Competitive exclusion in a two-species chemotaxis model. J. Math. Biol. 68, 1607–1626 (2014)
Tsujikawa T., Kuto K., Miyamoto Y., Izuhara H.: Stationary solutions for some shadow system of the Keller–Segel model with logistic growth. Discrete Contin. Dyn. Syst. Ser. S 8, 1023–1034 (2015)
Wang Q.: Boundary spikes of a Keller–Segel chemotaxis system with saturated logarithmic sensitivity. Discrete Contin. Dyn. Syst Ser. B 20, 1231–1250 (2015)
Wang Q.: Global solutions of a Keller Segel system with saturated logarithmic sensitivity function. Commun. Pure Appl. Anal. 14, 383–396 (2015)
Wang Q., Gai C., Yan J.: Qualitative analysis of a Lotka–Volterra competition system with advection. Discrete Contin. Dyn. Syst. 35, 1239–1284 (2015)
Wang, Q., Yang, J., Zhang, L.: Time periodic and stable patterns of a two–competing–species Keller–Segel chemotaxis model: effect of cellular growth, preprint arXiv:1505.06463
Wang Q., Zhang L., Yang J., Hu J.: Global existence and steady states of a two competing species Keller–Segel chemotaxis model. Kinet. Relat. Models 8, 777–807 (2015)
Wang X.: Qualitative behavior of solutions of chemotactic diffusion systems: effects of motility and chemotaxis and dynamics. SIAM J. Math. Anal. 31, 535–560 (2000)
Wang X., Wu Y.: Qualitative analysis on a chemotactic diffusion model for two species competing for a limited resource. Q. Appl. Math. 60, 505–531 (2002)
Wang X., Xu Q.: Spiky and transition layer steady states of chemotaxis systems via global bifurcation and Helly’s compactness theorem. J. Math. Biol. 66, 1241–1266 (2012)
Wang Z.-A.: Mathematics of traveling waves in chemotaxis. Discrete Contin. Dyn. Syst Ser. B. 18, 601–641 (2013)
Winkler M.: Boundedness in the higher-dimensional parabolic-parabolic chemotaxis system with logistic source. Commun. Partial Differ. Equ. 35, 1516–1537 (2010)
Winkler M.: Blow-up in a higher-dimensional chemotaxis system despite logistic growth restriction. J. Math. Anal. Appl. 384, 261–272 (2011)
Author information
Authors and Affiliations
Corresponding author
Additional information
QW is partially supported by NSF-China (Grant No. 11501460) and the Project (No. 15ZA0382) from Department of Education, Sichuan China.
Rights and permissions
About this article
Cite this article
Wang, Q., Yan, J. & Gai, C. Qualitative analysis of stationary Keller–Segel chemotaxis models with logistic growth. Z. Angew. Math. Phys. 67, 51 (2016). https://doi.org/10.1007/s00033-016-0648-9
Received:
Revised:
Published:
DOI: https://doi.org/10.1007/s00033-016-0648-9