Numerical Approximations of the Dynamical System Generated by Burgers’ Equation with Neumann–Dirichlet Boundary Conditions

Edward J. Allen; John A. Burns; David S. Gilliam

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique (2013)

  • Volume: 47, Issue: 5, page 1465-1492
  • ISSN: 0764-583X

Abstract

top
Using Burgers’ equation with mixed Neumann–Dirichlet boundary conditions, we highlight a problem that can arise in the numerical approximation of nonlinear dynamical systems on computers with a finite precision floating point number system. We describe the dynamical system generated by Burgers’ equation with mixed boundary conditions, summarize some of its properties and analyze the equilibrium states for finite dimensional dynamical systems that are generated by numerical approximations of this system. It is important to note that there are two fundamental differences between Burgers’ equation with mixed Neumann–Dirichlet boundary conditions and Burgers’ equation with both Dirichlet boundary conditions. First, Burgers’ equation with homogenous mixed boundary conditions on a finite interval cannot be linearized by the Cole–Hopf transformation. Thus, on finite intervals Burgers’ equation with a homogenous Neumann boundary condition is truly nonlinear. Second, the nonlinear term in Burgers’ equation with a homogenous Neumann boundary condition is not conservative. This structure plays a key role in understanding the complex dynamics generated by Burgers’ equation with a Neumann boundary condition and how this structure impacts numerical approximations. The key point is that, regardless of the particular numerical scheme, finite precision arithmetic will always lead to numerically generated equilibrium states that do not correspond to equilibrium states of the Burgers’ equation. In this paper we establish the existence and stability properties of these numerical stationary solutions and employ a bifurcation analysis to provide a detailed mathematical explanation of why numerical schemes fail to capture the correct asymptotic dynamics. We extend the results in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] and prove that the effect of finite precision arithmetic persists in generating a nonzero numerical false solution to the stationary Burgers’ problem. Thus, we show that the results obtained in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] are not dependent on a specific time marching scheme, but are generic to all convergent numerical approximations of Burgers’ equation.

How to cite

top

Allen, Edward J., Burns, John A., and Gilliam, David S.. "Numerical Approximations of the Dynamical System Generated by Burgers’ Equation with Neumann–Dirichlet Boundary Conditions." ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique 47.5 (2013): 1465-1492. <http://eudml.org/doc/273133>.

@article{Allen2013,
abstract = {Using Burgers’ equation with mixed Neumann–Dirichlet boundary conditions, we highlight a problem that can arise in the numerical approximation of nonlinear dynamical systems on computers with a finite precision floating point number system. We describe the dynamical system generated by Burgers’ equation with mixed boundary conditions, summarize some of its properties and analyze the equilibrium states for finite dimensional dynamical systems that are generated by numerical approximations of this system. It is important to note that there are two fundamental differences between Burgers’ equation with mixed Neumann–Dirichlet boundary conditions and Burgers’ equation with both Dirichlet boundary conditions. First, Burgers’ equation with homogenous mixed boundary conditions on a finite interval cannot be linearized by the Cole–Hopf transformation. Thus, on finite intervals Burgers’ equation with a homogenous Neumann boundary condition is truly nonlinear. Second, the nonlinear term in Burgers’ equation with a homogenous Neumann boundary condition is not conservative. This structure plays a key role in understanding the complex dynamics generated by Burgers’ equation with a Neumann boundary condition and how this structure impacts numerical approximations. The key point is that, regardless of the particular numerical scheme, finite precision arithmetic will always lead to numerically generated equilibrium states that do not correspond to equilibrium states of the Burgers’ equation. In this paper we establish the existence and stability properties of these numerical stationary solutions and employ a bifurcation analysis to provide a detailed mathematical explanation of why numerical schemes fail to capture the correct asymptotic dynamics. We extend the results in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] and prove that the effect of finite precision arithmetic persists in generating a nonzero numerical false solution to the stationary Burgers’ problem. Thus, we show that the results obtained in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] are not dependent on a specific time marching scheme, but are generic to all convergent numerical approximations of Burgers’ equation.},
author = {Allen, Edward J., Burns, John A., Gilliam, David S.},
journal = {ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique},
keywords = {nonlinear dynamical system; finite precision arithmetic; bifurcation; asymptotic behavior; numerical approximation; stability; nonlinear partial differential equation; boundary value problem},
language = {eng},
number = {5},
pages = {1465-1492},
publisher = {EDP-Sciences},
title = {Numerical Approximations of the Dynamical System Generated by Burgers’ Equation with Neumann–Dirichlet Boundary Conditions},
url = {http://eudml.org/doc/273133},
volume = {47},
year = {2013},
}

TY - JOUR
AU - Allen, Edward J.
AU - Burns, John A.
AU - Gilliam, David S.
TI - Numerical Approximations of the Dynamical System Generated by Burgers’ Equation with Neumann–Dirichlet Boundary Conditions
JO - ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
PY - 2013
PB - EDP-Sciences
VL - 47
IS - 5
SP - 1465
EP - 1492
AB - Using Burgers’ equation with mixed Neumann–Dirichlet boundary conditions, we highlight a problem that can arise in the numerical approximation of nonlinear dynamical systems on computers with a finite precision floating point number system. We describe the dynamical system generated by Burgers’ equation with mixed boundary conditions, summarize some of its properties and analyze the equilibrium states for finite dimensional dynamical systems that are generated by numerical approximations of this system. It is important to note that there are two fundamental differences between Burgers’ equation with mixed Neumann–Dirichlet boundary conditions and Burgers’ equation with both Dirichlet boundary conditions. First, Burgers’ equation with homogenous mixed boundary conditions on a finite interval cannot be linearized by the Cole–Hopf transformation. Thus, on finite intervals Burgers’ equation with a homogenous Neumann boundary condition is truly nonlinear. Second, the nonlinear term in Burgers’ equation with a homogenous Neumann boundary condition is not conservative. This structure plays a key role in understanding the complex dynamics generated by Burgers’ equation with a Neumann boundary condition and how this structure impacts numerical approximations. The key point is that, regardless of the particular numerical scheme, finite precision arithmetic will always lead to numerically generated equilibrium states that do not correspond to equilibrium states of the Burgers’ equation. In this paper we establish the existence and stability properties of these numerical stationary solutions and employ a bifurcation analysis to provide a detailed mathematical explanation of why numerical schemes fail to capture the correct asymptotic dynamics. We extend the results in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] and prove that the effect of finite precision arithmetic persists in generating a nonzero numerical false solution to the stationary Burgers’ problem. Thus, we show that the results obtained in [E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, Math. Comput. Modelling 35 (2002) 1165–1195] are not dependent on a specific time marching scheme, but are generic to all convergent numerical approximations of Burgers’ equation.
LA - eng
KW - nonlinear dynamical system; finite precision arithmetic; bifurcation; asymptotic behavior; numerical approximation; stability; nonlinear partial differential equation; boundary value problem
UR - http://eudml.org/doc/273133
ER -

References

top
  1. [1] V.S. Afraimovich, M.K. Muezzinoglu and M.I. Rabinovich, Metastability and Transients in Brain Dynamics: Problems and Rigorous Results, in Long-range Interactions, Stochasticity and Fractional Dynamics; Nonlinear Physical Science, edited by Albert C.J. Luo and Valentin Afraimovich. Springer-Verlag (2010) 133–175. Zbl1244.92004MR3135776
  2. [2] E. Allen, J.A. Burns, D.S. Gilliam, J. Hill and V.I. Shubov, The impact of finite precision arithmetic and sensitivity on the numerical solution of partial differential equations. Math. Comput. Model.35 (2002) 1165–1195. Zbl1060.65116MR1910446
  3. [3] E. Allen, J.A. Burns and D.S. Gilliam, On the use of numerical methods for analysis and control of nonlinear convective systems, in Proc. of 47th IEEE Conference on Decision and Control (2008) 197–202. 
  4. [4] J.A. Atwell and B.B. King, Stabilized Finite Element Methods and Feedback Control for Burgers’ Equation, in Proc. of the 2000 American Control Conference (2000) 2745–2749. 
  5. [5] D.H. Bailey and J.M. Borwein, Exploratory Experimentation and Computation, Notices AMS58 (2011) 1410–1419. Zbl1247.00010MR2884022
  6. [6] A. Balogh, D.S. Gilliam and V.I. Shubov, Stationary solutions for a boundary controlled Burgers’ equation. Math. Comput. Model.33 (2001) 21–37. Zbl0967.93051MR1812539
  7. [7] M. Beck and C.E. Wayne, Using Global Invariant Manifolds to Understand Metastability in the Burgers Equation With Small Viscosity. SIAM Review53 (2011) 129–153 [Published originally SIAM J. Appl. Dyn. Syst. 8 (2009) 1043–1065]. Zbl1201.35044MR2551255
  8. [8] T.R. Bewley, P. Moin and R. Temam, Control of Turbulent Flows, in Systems Modelling and Optimization, Chapman and Hall CRC, Boca Raton, FL (1999) 3–11. Zbl0925.93417MR1678711
  9. [9] J.T. Borggaard and J.A. Burns, A PDE Sensitivity Equation Method for Optimal Aerodynamic Design. J. Comput. Phys.136 (1997) 366–384. Zbl0903.76064MR1474410
  10. [10] J. Burns, A. Balogh, D. Gilliam and V. Shubov, Numerical stationary solutions for a viscous Burgers’ equation. J. Math. Syst. Estim. Control8 (1998) 1–16. Zbl0892.35134MR1651458
  11. [11] J.A. Burns and S. Kang, A control problem for Burgers’ equation with bounded input/output. Nonlinear Dyn.2 (1991) 235–262. 
  12. [12] J.A. Burns and S. Kang, A Stabilization problem for Burgers’ equation with unbounded control and observation, in Estimation and Control of Distributed Parameter Systems. Int. Ser. Numer. Math. vol. 100, edited by W. Desch, F. Rappel, K. Kunisch. Springer-Verlag (1991) 51–72. Zbl0767.93046MR1155636
  13. [13] J.A. Burns and H. Marrekchi, Optimal fixed-finite-dimensional compensator for Burgers’ Equation with unbounded input/output operators. ICASE Report No. 93-19. Institute for Comput. Appl. Sci. Engrg., Hampton, VA. (1993). Zbl0824.93016MR1247468
  14. [14] J.A. Burns and J.R. Singler, On the Long Time Behavior of Approximating Dynamical Systems, in Distributed Parameter Control, edited by F. Kappel, K. Kunisch and W. Schappacher. Springer-Verlag (2001) 73–86. Zbl1043.65079
  15. [15] C.I. Byrnes and D.S. Gilliam, Boundary control and stabilization for a viscous Burgers’ equation. Computation and Control, Progress in Systems Control Theory, vol. 15. Birkhäuser Boston, Boston, MA (1993) 105–120. Zbl0824.93030MR1247469
  16. [16] C.I. Byrnes, D.S. Gilliam and V.I. Shubov, Convergence of trajectories for a controlled viscous Burgers’ equation, Control and Estimation of Distributed Parameter Systems: Nonlinear Phenomena. Int. Ser. Numer. Math., vol. 118, edited by W. Desch, F. Rappel, K. Kunisch. Birkhäuser, Basel (1994) 61–77. Zbl0808.93040MR1313510
  17. [17] C.I. Byrnes, D. Gilliam, V. Shubov and Z. Xu, Steady state response to Burgers’ equation with varying viscosity, in Progress in Systems and Control: Computation and Control IV, edited by K. L.Bowers and J. Lund. Birkhäuser, Basel (1995) 75–98. Zbl0841.35101MR1349584
  18. [18] C.I. Byrnes, D.S. Gilliam and V.I. Shubov, High gain limits of trajectories and attractors for a boundary controlled viscous Burgers’ equation. J. Math. Syst. Estim. Control 6 (1996) 40. Zbl0856.93048MR1650140
  19. [19] C.I. Byrnes, A. Balogh, D.S. Gilliam and V.I. Shubov, Numerical stationary solutions for a viscous Burgers’ equation. J. Math. Syst. Estim. Control 8 (1998) 16 (electronic). Zbl0892.35134MR1651458
  20. [20] C.I. Byrnes, D.S. Gilliam and V.I. Shubov, On the Global Dynamics of a Controlled Viscous Burgers’ Equation. J. Dyn. Control Syst.4 (1998) 457–519. Zbl0943.35080MR1662924
  21. [21] C.I. Byrnes, D.S. Gilliam and V.I. Shubov, Boundary Control, Stabilization and Zero-Pole Dynamics for a Nonlinear Distributed Parameter System. Int. J. Robust Nonlinear Control9 (1999) 737–768. Zbl0949.93038MR1711262
  22. [22] C. Cao and E. Titi, Asymptotic Behavior of Viscous Burgers’ Equations with Neumann Boundary Conditions, Third Palestinian Mathematics Conference, Bethlehem University, West Bank. Mathematics and Mathematics Education, edited by S. Elaydi, E. S. Titi, M. Saleh, S. K. Jain and R. Abu Saris. World Scientific (2002) 1–19. Zbl1026.35068
  23. [23] M.H. Carpenter, J. Nordström and D. Gottlieb, Revisiting and extending interface penalties for multi-domain summation-by-parts operators. J. Sci. Comput.45 (2010) 118–150. Zbl1203.65176MR2679793
  24. [24] J. Carr and J.L. Pego, Metastable patterns in solutions of ut = ϵ2uxx − f(u). Comm. Pure Appl. Math. 42 (1989) 523–576. Zbl0685.35054MR997567
  25. [25] J. Carr, D.B. Duncan and C.H. Walshaw, Numerical approximation of a metastable system. IMA J. Numer. Anal.15 (1995) 505–521. Zbl0833.65068MR1355635
  26. [26] C.A.J. Fletcher, Burgers’ equation: A model for all reasons, in Numerical Solutions of J. Partial Differ. Eqns., edited by J. Noye. North-Holland Publ. Co. Amsterdam (1982) 139–225. Zbl0496.76091MR649920
  27. [27] A.V. Fursikov and R. Rannacher, Optimal Neumann Control for the 2D Steady-State Navier-Stokes equations, in New Directions in Math. Fluid Mech. The Alexander. V. Kazhikhov Memorial Volume. Advances in Mathematical Fluid Mechanics, Birkhauser, Berlin (2009) 193–222. Zbl1200.35214MR2732011
  28. [28] G. Fusco, G. and J. K. Hale, Slow-motion manifolds, dormant instability, and singular perturbations. J. Dyn. Differ. Eqns. 1 (1989) 75–94. Zbl0684.34055MR1010961
  29. [29] T. Gallay and C.E. Wayne, Invariant manifolds and the long-time asymptotics of the navier-stokes and vorticity equations on R2. Arch. Rational Mech. Anal.163 (2002) 209–258. Zbl1042.37058MR1912106
  30. [30] T. Gallay and C.E. Wayne, Global stability of vortex solutions of the two-dimensional Navier-Stokes equation. Commun. Math. Phys.255 (2005) 97–129. Zbl1139.35084MR2123378
  31. [31] M. Garbey and H.G. Kaper, Asymptotic-Numerical Study of Supersensitivity for Generalized Burgers’ Equation. SIAM J. Sci. Comput.22 (2000) 368–385. Zbl0961.35139MR1769499
  32. [32] S. Gottlieb, D. Gottlieb and C.-W. Shu, Recovering High-Order Accuracy in WENO Computations of Steady-State Hyperbolic Systems. J. Sci. Comput.28 (2006) 307–318. Zbl1158.76365MR2272634
  33. [33] M. Gunzburger, L. Hou and T. Svobodny, Analysis and finite element approximation of optimal control problems for the stationary Navier-Stokes equations with distributed and Neumann controls. Math. Comput.57 (1991) 123–151. Zbl0747.76063MR1079020
  34. [34] M.D. Gunzburger, H.C. Lee and J. Lee, Error estimates of stochastic optimal Neumann boundary control problems. SIAM J. Numer. Anal.49 (2011) 1532–1552. Zbl1243.65008MR2831060
  35. [35] J.S. Hesthaven, S. Gottlieb and D. Gottlieb, Spectral Methods for Time Dependent Problems, Cambridge Monographs on Applied and Computational Mathematics, vol. 21. Cambridge University Press (2006). Zbl1111.65093
  36. [36] IEEE Computer Society, IEEE Standard for Binary Floating-Point Arithmetic, IEEE Std 754-1985 (1985). 
  37. [37] A. Kanevsky, M.H. Carpenter, D. Gottlieb and J. S. Hesthaven, Application of implicit-explicit high order Runge-Kutta methods to discontinuous-Galerkin schemes. J. Comput. Phys.225 (2007) 1753–1781. Zbl1123.65097MR2349202
  38. [38] R. Kannan and Z.J. Wang, A high order spectral volume solution to the Burgers’ equation using the Hopf–Cole transformation. Int. J. Numer. Meth. Fluids (2011). Available on wileyonlinelibrary.com. DOI: 10.1002/fld.2612. Zbl1253.76087
  39. [39] O.A. Ladyzhenskaya, V.A. Solonnikov and N.N. Ural’ceva, Linear and Quasilinear Equations of Parabolic Type, Translations of the AMS, vol. 23 (1968). Zbl0174.15403
  40. [40] J.G.L. Laforgue and R.E. O’Malley, Supersensitive Boundary Value Problems, Asymptotic and Numerical Methods for Partial Differential Equations with Critical Parameters, edited by H.G. Kaper and M. Garbey. Kluwer Publishers (1993) 215–224. Zbl0788.65088MR1222424
  41. [41] H.V. Ly, K.D. Mease and E.S. Titi, Distributed and boundary control of the viscous Burgers’ equation. Numer. Funct. Anal. Optim.18 (1997) 143–188. Zbl0876.93045MR1442024
  42. [42] H. Marrekchi, Dynamic Compensators for a Nonlinear Conservation Law, Ph.D. Thesis, Department of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061 (1993). MR2690186
  43. [43] V.Q. Nguyen, A Numerical Study of Burgers’ Equation With Robin Boundary Conditions, M.S. Thesis. Department of Mathematics, Polytechnic Institute and State University, Blacksburg, VA, 24061 (2001). Zbl1156.35450
  44. [44] P. Pettersson, J. Nordström and G. Laccarino, Boundary procedures for the time-dependent Burgers’ equation under uncertainty. Acta Math. Sci.30 (2010) 539–550. Zbl1240.35591MR2656553
  45. [45] J.T. Pinto, Slow motion manifolds far from the attractor in multistable reaction-diffusion equations. J. Differ. Eqns.174 (2001) 101–132. Zbl0986.35048MR1844526
  46. [46] S.M. Pugh, Finite element approximations of Burgers’ Equation, M.S. Thesis. Departmant of Mathematics, Polytechnic Institute and State University, Blacksburg, VA, 24061 (1995). 
  47. [47] G.R. Sell and Y. You, Dynamics of Evolutionary Equations, vol. 143. Springer-Verlag (2002). Zbl1254.37002MR1873467
  48. [48] Z.-H. Teng, Exact boundary conditions for the initial value problem of convex conservation laws. J. Comput. Phys.229 (2010) 3792–3801. Zbl1190.65127MR2609753
  49. [49] M.J. Ward and L.G. Reyna, Internal layers, small eigenvalues, and the sensitivity of metastable motion. SIAM J. Appl. Math.55 (1995) 425–445. Zbl0818.35008MR1322768
  50. [50] T.I. Zelenjak, Stabilization of solutions of boundary value problems for a second-order parabolic equation with one space variable, Differentsial’nye Uravneniya 4 (1968) 34D45. Zbl0232.35053MR223758
  51. [51] T.I. Zelenyak, M.M. Lavrentiev Jr. and M.P. Vishnevskii, Qualitative Theory of Parabolic Equations, Part 1, VSP, Utrecht, The Netherlands (1997). Zbl0918.35001MR1644092

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.