Euler-Lagrangian approach to 3D stochastic Euler equations

Flandoli Franco; Luo Dejun

doi:10.3934/jgm.2019008

Article Contents

2019, Volume 11, Issue 2: 153-165. Doi: 10.3934/jgm.2019008

This issue Previous Article Particle relabelling symmetries and Noether's theorem for vertical slice models Next Article Riemann-Hilbert problem, integrability and reductions

Euler-Lagrangian approach to 3D stochastic Euler equations

Flandoli Franco^1, , and
Luo Dejun^2,3,

1.
Scuola Normale Superiore of Pisa, Piazza dei Cavalieri, 7, 56124 Pisa, Italy
2.
Key Laboratory of Random Complex Structures and Data Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
3.
School of Mathematical Sciences, University of the Chinese Academy of Sciences, Beijing 100049, China

^* Corresponding author: Franco Flandoli
^* Corresponding author: Franco Flandoli

Received: March 2018

Revised: February 2019

Published online: May 31, 2019

The second author is supported by the National Natural Science Foundation of China (Nos. 11431014, 11571347) and the Youth Innovation Promotion Association, CAS (2017003).

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Abstract

3D stochastic Euler equations with a special form of multiplicative noise are considered. A Constantin-Iyer type representation in Euler-Lagrangian form is given, based on stochastic characteristics. Local existence and uniqueness of solutions in suitable Hölder spaces is proved from the Euler-Lagrangian formulation.

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Mathematics Subject Classification: Primary: 35Q31; Secondary: 76B03.

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References

[1]	J. M. Bismut and D. Michel, Diffusions conditionelles. I. Hypoellipticité partielle, J. Funct. Anal., 44 (1981), 174-211. doi: 10.1016/0022-1236(81)90010-0.
[2]	Z. Brzeniak, M. Capinski and F. Flandoli, Stochastic Navier-Stokes equations with multiplicative noise, Stoch. Anal. Appl., 10 (1992), 523-532. doi: 10.1080/07362999208809288.
[3]	P. Constantin, An Euler–Lagrangian approach for incompressible fluids: local theory, J. Amer. Math. Soc., 14 (2001), 263-278. doi: 10.1090/S0894-0347-00-00364-7.
[4]	P. Constantin and G. Iyer, A stochastic Lagrangian representation of the three-dimensional incompressible Navier–Stokes equations, Comm. Pure Appl. Math., 61 (2008), 330-345. doi: 10.1002/cpa.20192.
[5]	D. Crisan, F. Flandoli and D. D. Holm, Solution properties of a 3D stochastic Euler fluid equation, J Nonlinear Sci, (2018), 1–58, https://doi.org/10.1007/s00332-018-9506-6. doi: 10.1007/s00332-018-9506-6.
[6]	R. Duboscq and A. Réveillac, Stochastic regularization effects of semi-martingales on random functions, J. Math. Pures Appl. (9), 106 (2016), 1141–1173. doi: 10.1016/j.matpur.2016.04.004.
[7]	G. Falkovich, K. Gawedzki and M. Vergassola, Particles and fields in fluid turbulence, Rev. Modern Phys., 73 (2001), 913-975. doi: 10.1103/RevModPhys.73.913.
[8]	S. Fang and D. Luo, Constantin and Iyer's representation formula for the Navier-Stokes equations on manifolds, Potential Anal., 48 (2018), 181-206. doi: 10.1007/s11118-017-9631-0.
[9]	E. Fedrizzi and F. Flandoli, Noise prevents singularities in linear transport equations, J. Funct. Anal., 264 (2013), 1329-1354. doi: 10.1016/j.jfa.2013.01.003.
[10]	F. Flandoli, Random Perturbation of PDEs and Fluid Dynamic Models, École d'été de Saint Flour 2010, Springer-Verlag, Berlin, 2011. doi: 10.1007/978-3-642-18231-0.
[11]	F. Flandoli and D. Gatarek, Martingale and stationary solutions for stochastic Navier-Stokes equations, Probab. Theory Related Fields, 102 (1995), 367-391. doi: 10.1007/BF01192467.
[12]	F. Flandoli, M. Maurelli and M. Neklyudov, Noise prevents infinite stretching of the passive field in a stochastic vector advection equation, J. Math. Fluid Mech., 16 (2014), 805-822. doi: 10.1007/s00021-014-0187-0.
[13]	F. Flandoli and C. Olivera, Well-posedness of the vector advection equations by stochastic perturbation, J. Evol. Equ., 18 (2018), 277-301. doi: 10.1007/s00028-017-0401-7.
[14]	F. Gay-Balmaz and D. D. Holm, Stochastic geometric models with non-stationary spatial correlations in Lagrangian fluid flows, J. Nonlinear Sci., 28 (2018), 873-904. doi: 10.1007/s00332-017-9431-0.
[15]	D. D. Holm, Variational principles for stochastic fluid dynamics, Proceedings of the Royal Society A, 471 (2015), 20140963, 19pp. doi: 10.1098/rspa.2014.0963.
[16]	G. Iyer, A stochastic perturbation of inviscid flows, Commun. Math. Phys., 266 (2006), 631-645. doi: 10.1007/s00220-006-0058-5.
[17]	H. Kunita, Stochastic differential equations and stochastic flows of diffeomorphisms, École d'été de Probabilités de Saint Flour, 1982, 143–303, Lecture Notes in Math., 1097, Springer, Berlin, 1984. doi: 10.1007/BFb0099433.
[18]	H. Kunita, Stochastic Flows and Stochastic Differential Equations, Cambridge Studies in Advanced Mathematics, 24, Cambridge University Press, Cambridge, 1990.
[19]	R. Mikulevicius and B. L. Rozovskii, Global $L_2$-solutions of stochastic Navier-Stokes equations, Ann. Probab., 33 (2005), 137-176. doi: 10.1214/009117904000000630.
[20]	D. Ocone and E. Pardoux, A generalized Itô–Ventzell formula. Application to a class of anticipating stochastic differential equations, Ann. Inst. Henri Poincaré, 25 (1989), 39-71.
[21]	X. Zhang, A stochastic representation for backward incompressible Navier–Stokes equations, Probab. Theory Related Fields, 148 (2010), 305-332. doi: 10.1007/s00440-009-0234-6.