Abstract
We construct an approximation to the measure valued, global in time solutions to the (Patlak-)Keller-Segel model in 2D, based on systems of stochastic interacting particles. The advantage of our approach is that it reproduces the well-known dichotomy in the qualitative behavior of the system and, moreover, captures the solution even after the (possible) blow-up events. We present a numerical method based on this approach and show some numerical results. Moreover, we make a first step toward the convergence analysis of our scheme by proving the convergence of the stochastic particle approximation for the Keller-Segel model with a regularized interaction potential. The proof is based on a BBGKY-like approach for the corresponding particle distribution function.
Similar content being viewed by others
References
Biler, P., Karch, G., Laurencot, Ph., Nadzieja, T.: The 8π-problem for radially symmetric solutions of a chemotaxis model in the plane. Math. Methods Appl. Sci. 29, 1563–1583 (2006)
Blanchet, A., Dolbeault, J., Perthame, B.: Two-dimensional Keller-Segel model: optimal critical mass and qualitative properties of the solutions. Electron. J. Differ. Equ. 44, 32 (2006)
Blanchet, A., Calvez, V., Carrillo, J.A.: Convergence of the mass-transport steepest descent scheme for the sub-critical Patlak-Keller-Segel model. SIAM J. Numer. Anal. 46(2), 691–721 (2008)
Blanchet, A., Carrillo, J., Masmoudi, N.: Infinite time aggregation for the critical Patlak-Keller-Segel model in ℝ2. Commun. Pure Appl. Math. 61(10), 1449–1481 (2008)
Budd, C.J., Carretero-González, R., Russell, R.D.: Precise computations of chemotactic collapse using moving mesh methods. J. Comput. Phys. 202(2), 463–487 (2005)
Cercignani, C., Illner, R., Pulvirenti, M.: The Mathematical Theory of Dilute Gasses. Springer, New York (1994)
Dolbeault, J., Schmeiser, C.: The two-dimensional Keller-Segel model after blow-up (to appear in DCDS-A, 2009)
Filbet, F.: A finite volume scheme for the Patlak-Keller-Segel chemotaxis model. Numer. Math. 104(4), 457–488 (2006)
Greengard, L.: The numerical solution of the N-body problem. Comput. Phys. 4, 142–152 (1990)
Haskovec, J., Schmeiser, C.: Stochastic particle approximation to the global measure valued solutions of the Keller–Segel model in 2D. In: Proceedings of the Conference EQUADIFF 2007 (to appear)
Herrero, M.A., Velázquez, J.J.L.: Singularity patterns in a chemotaxis model. Math. Ann. 306, 583–623 (1996)
Keller, E.F., Segel, L.A.: Initiation of slime mold aggregation viewed as an instability. J. Theor. Biol. 26, 399–415 (1970)
Marrocco, A.: 2D simulation of chemotactic bacteria aggregation. ESAIM: Math. Model. Numer. Anal. 37, 617–630 (2003)
Nagai, T., Senba, T., Suzuki, T.: Chemotactic collapse in a parabolic system of mathematical biology. Hiroshima Math. J. 30(3), 463–497 (2000)
Perthame, B.: PDE models for chemotactic movements: Parabolic, hyperbolic and kinetic. Appl. Math. 49 (2004)
Poupaud, F.: Diagonal defect measures, adhesion dynamics and Euler equations. Methods Appl. Anal. 9, 533–561 (2002)
Saito, N.: Conservative upwind finite element method for a simplified Keller-Segel system modelling chemotaxis. IMA J. Numer. Anal. 27(2), 332–365 (2007)
Saito, N., Suzuki, T.: Notes on finite difference schemes to a parabolic-elliptic system modelling chemotaxis. Appl. Math. Comput. 171(1), 72–90 (2005)
Velaázquez, J.J.L.: Point dynamics in a singular limit of the Keller-Segel model. (1) Motion of the concentration regions. SIAM J. Appl. Math. 64(4), 1198–1223 (2004)
Velaázquez, J.J.L.: Point dynamics in a singular limit of the Keller-Segel model. (2) Formation of the concentration regions. SIAM J. Appl. Math. 64(4), 1224–1248 (2004)
Velázquez, J.J.L.: Well-posedness of a model of point dynamics for a limit of the Keller-Segel system. J. Differ. Equ. 206, 315–352 (2004)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Haškovec, J., Schmeiser, C. Stochastic Particle Approximation for Measure Valued Solutions of the 2D Keller-Segel System. J Stat Phys 135, 133–151 (2009). https://doi.org/10.1007/s10955-009-9717-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10955-009-9717-1