Abstract
The current study dedicated to the compressible isentropic Navier–Stokes equations in one-dimensional with a general pressure law. The Lie Group method is employed to reduce the compressible Navier–Stokes equations to a system of highly nonlinear ordinary differential equations with suitable similarity transformations. Consequently, with the help of exact solutions of reduced ordinary differential equations, similarity variable and similarity solutions, exact solutions of the main equation are obtained. Finally, using conservation laws multiplier, we find the complete set of local conservation laws of compressible isentropic Navier–Stokes equations for the arbitrary constant coefficients.
Similar content being viewed by others
References
Armbruster D, Degond P, Ringhofer CA (2006) A model for the dynamics of large queueing networks and supply chains. SIAM J Appl Math 66:896–920
Armbruster D, Degond P, Ringhofer CA (2007) Kinetic and fluid models for supply chains supporting policy attributes. Bull Inst Math Acad Sin 2:433–460
Cascone A, D’Apice C, Piccoli B, Rarità L (2007) Optimization of traffic on road networks. Math Models Methods Appl Sci 17:1587–1617
Cascone A, D’Apice C, Piccoli B, Rarità L (2008) Circulation of car traffic in congested urban areas. Commun Math Sci 6:765–784
Cascone A, Manzo R, Piccoli B, Rarità L (2008) Optimization versus randomness for car traffic regulation. Phys Rev E 78:026113-5
Cutolo A, Nicola CD, Manzo R, Rarità L (2012) Optimal paths on urban networks using travelling times prevision. Model Simul Eng 2012:1–9
Cutolo A, Piccoli B, Rarità L (2011) An Upwind-Euler scheme for an ODE-PDE model of supply chains. SIAM J Sci Comput 33:1669–1688
Daganzo C (2003) A theory of supply chains. Springer, New York, Berlin, Heidelberg
D’Apice C, Kogut PI, Manzo R (2014) On relaxation of state constrained optimal control problem for a PDE-ODE model of supply chains. Netw Heterogeneous Media 9:501–518
D’Apice C, Manzo R, Piccoli B (2010) Existence of solutions to Cauchy problems for a mixed continuum-discrete model for supply chains and networks. J Math Anal Appl 362:374–386
D’Apice C, Manzo R, Rarità L (2011) Splitting of traffic flows to control congestion in special events. Int J Math Math Sci 2011:1–18
Manzo R, Piccoli B, Rarità L (2012) Optimal distribution of traffic flows at junctions in emergency cases. Eur J Appl Math 23:515–535
Rarità L, D’Apice C, Piccoli B, Helbing D (2010) Sensitivity analysis of permeability parameters for flows on Barcelona networks. J Differ Equ 249:3110–3131
Falco MD, Gaeta M, Loia V, Rarita L, Tomasiello S (2016) Differential Quadrature-based numerical solutions of a fluid dynamic model for supply chains. Commun Math Sci 14:1467–1476
Hoff D (1998) Global solutions of the equations of one-dimensional, compressible flow with large data and forces, and with differing end states. Z Angew Math Phys 49:774–785
Ding S, Wena H, Zhu C (2011) Global classical large solutions to 1D compressible Navier-Stokes equations with density-dependent viscosity and vacuum. J Differ Equ 251:1696–1725
Fang D, Zhang T (2006) Compressible Navier-Stokes equations with vacuum state in the case of general pressure law. Math Meth Appl Sci 29:1081–1106
Schrecher MRI, Schulz S (2019) Vanishing viscosity limit of the compressible Navier-Stokes equations with general pressure law. SIAM J Math Anal 51:2168–2205
Hoff D, Serre D (1991) The failure of continuous dependence on initial data for the Navier-Stokes equations of compressible flow. SIAM J Appl Math 51:887–898
Liu TP, Xin Z, Yang T (1998) Vacuum states of compressible flow. Discrete Cont Dyn Sci 4:1–32
Xin Z (1998) Blow-up of smooth solution to the compressible Navier-Stokes equations with compact density. Comm Pure Appl Math 51:229–240
Olver PJ (1993) Applications of Lie Groups to Differential Equations. Springer, New York
Ovsiannikov LV (1982) Group analysis of differential equations. Academic Press, New York
Bluman GW, Kumei S (1989) Symmetries and Differential Equations. Springer, New York
Kumar V, Gupta RK, Jiwari R (2013) Comparative study of travelling wave and numerical solutions for the coupled short pulse (CSP) equation. Chin Phys B 22:050201
Gupta RK, Kumar V, Jiwari R (2014) Exact and numerical solutions of coupled short pulse equation with time-dependent coefficients. Nonlinear Dyn 79:455–464
Singh K, Gupta RK (2006) Lie symmetries and exact solutions of a new generalized Hirota Satsuma coupled KdV system with variable coefficients. Int J Eng Sci 44:241–255
Singh K, Gupta RK (2006) Exact solutions of a variant Boussinesq system. Int J Eng Sci 44:1256–1268
Kumar V, Alqahtani A (2017) Lie symmetry analysis, soliton and numerical solutions of boundary value problem for variable coefficients coupled KdV-Burgers equation. Nonlinear Dyn 90:2903–2915
Gupta RK, Bansal A (2013) Painlevé analysis, Lie symmetries and invariant solutions of potential Kadomstev-Petviashvili equation with time dependent coefficients. Appl Math Comput 219:5290–5302
Alqahtani A, Kumar V (2019) Soliton solutions to the time-dependent coupled KdV-Burgers’ equation. Adv Differ Equ 1:1–16
Yunqing Y, Yong C (2011) Prolongation structure of the equation studied by qiao. Commun Theor Phys 56:463–466
Bluman GW (2005) Temuerchaolu, Conservation laws for nonlinear telegraph equations. J Math Anal Appl 310:459–476
Ibragimov NH (2007) A new conservation theorem. J Math Anal Appl 333:311–328
Anco S, Bluman GW (2002) Direct construction method for conservation laws of partial differential equations part II: general treatment. Eur J Appl Math 13:567–585
D’Apice C, Kogut PI, Manzo R (2010) On approximation of entropy solutions for one system of nonlinear hyperbolic Conservation laws with impulse source terms. J Control Sci Eng 2010:1–10
Kogut PI, Manzo R (2013) On vector-valued approximation of state constrained optimal control problems for nonlinear hyperbolic conservation laws. J Dyn Control Syst 19:381–404
Dafermos C (1999) Hyperbolic conservation laws in continuum physics. Springer, Berlin
Bressan A (2000) Hyperbolic systems of conservation laws-the one-dimensional cauchy problem. Oxford University Press, Oxford
Acknowledgements
The work was supported by the Council of Scientific and Industrial Research (CSIR), New Delhi, India, with grant No.25(0299)/19/EMR-II.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Theorem 1
Proof
It is easy to verify that these four invariant vector fields form a vector space, of dimension four which is called the Lie algebra.
Theorem 2
Proof
Since each group \(\,\,\left( {T_{a}^{i} \,\, = \,\,1,\,\,2,\,\,3,\,\,4} \right)\) is a symmetric group this implies that If \(\theta \,\, = \,\,\,f\,\left( {x,\,\,t} \right),\,\,\,\ell \,\,\, = \,\,\,g\,\left( {x,\,\,\,t} \right)\) is a given solution of system (1), so are the \(\,\,\theta_{i} ,\,\,\,\ell_{i} \,\,\left( {i\,\, = \,\,1,\,\,2,\,\,3,\,4} \right)\).
Theorem 3
Proof
The categorization of four-dimensional subalgebras of the Lie algebra (14) is obtained with the help of an inductive approach [22]. Here, we start to deal with a general element of the form \(A = \alpha_{1} A_{1} + \alpha_{2} A_{2} + \alpha_{3} A_{3} + \alpha_{4} A_{4}\) and subject it to different adjoint transformations to make simpler it as much as simple. As a result, the one-parameter optimal system of isentropic Navier- Stokes equations is obtained which is spanned by (18).
Theorem 4
Proof
The general solutions Eq. (19) involves three constants. Now with respect to one arbitrary constant, we obtained the similarity variable (new independent variable). The other two constants play the role of group invariant solution (new dependent variables).
Rights and permissions
About this article
Cite this article
Jiwari, R., Kumar, V. & Singh, S. Lie group analysis, exact solutions and conservation laws to compressible isentropic Navier–Stokes equation. Engineering with Computers 38, 2027–2036 (2022). https://doi.org/10.1007/s00366-020-01175-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00366-020-01175-9