Soliton trains in dispersive media

In this paper two Boussinesq-type mathematical models are described which lead to solitonic solutions. One case corresponds to microstructured solids, another case to biomembranes. The emergence of soliton trains in both cases is demonstrated by using numerical simulation. The pseudospectral method...

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Date:2018
Main Authors: Engelbrecht, J., Peets, T., Tamm, K.
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Cite this:Soliton trains in dispersive media / J. Engelbrecht, T. Peets, and K. Tamm // Физика низких температур. — 2018. — Т. 44, № 7. — С. 887-892. — Бібліогр.: 34 назв. — англ.

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spelling irk-123456789-1762022021-02-05T01:30:06Z Soliton trains in dispersive media Engelbrecht, J. Peets, T. Tamm, K. Свойства нелинейных биофизических систем со сложной внутренней структурой In this paper two Boussinesq-type mathematical models are described which lead to solitonic solutions. One case corresponds to microstructured solids, another case to biomembranes. The emergence of soliton trains in both cases is demonstrated by using numerical simulation. The pseudospectral method guarantees the high accuracy in computing. The significance of the nonlinearities — either deformation-type or displacement-type, is demonstrated. 2018 Article Soliton trains in dispersive media / J. Engelbrecht, T. Peets, and K. Tamm // Физика низких температур. — 2018. — Т. 44, № 7. — С. 887-892. — Бібліогр.: 34 назв. — англ. 0132-6414 PACS: 46.40.Cd, 47.35.Fg, 47.54.Fj http://dspace.nbuv.gov.ua/handle/123456789/176202 en Физика низких температур Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
topic Свойства нелинейных биофизических систем со сложной внутренней структурой
Свойства нелинейных биофизических систем со сложной внутренней структурой
spellingShingle Свойства нелинейных биофизических систем со сложной внутренней структурой
Свойства нелинейных биофизических систем со сложной внутренней структурой
Engelbrecht, J.
Peets, T.
Tamm, K.
Soliton trains in dispersive media
Физика низких температур
description In this paper two Boussinesq-type mathematical models are described which lead to solitonic solutions. One case corresponds to microstructured solids, another case to biomembranes. The emergence of soliton trains in both cases is demonstrated by using numerical simulation. The pseudospectral method guarantees the high accuracy in computing. The significance of the nonlinearities — either deformation-type or displacement-type, is demonstrated.
format Article
author Engelbrecht, J.
Peets, T.
Tamm, K.
author_facet Engelbrecht, J.
Peets, T.
Tamm, K.
author_sort Engelbrecht, J.
title Soliton trains in dispersive media
title_short Soliton trains in dispersive media
title_full Soliton trains in dispersive media
title_fullStr Soliton trains in dispersive media
title_full_unstemmed Soliton trains in dispersive media
title_sort soliton trains in dispersive media
publisher Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України
publishDate 2018
topic_facet Свойства нелинейных биофизических систем со сложной внутренней структурой
url http://dspace.nbuv.gov.ua/handle/123456789/176202
citation_txt Soliton trains in dispersive media / J. Engelbrecht, T. Peets, and K. Tamm // Физика низких температур. — 2018. — Т. 44, № 7. — С. 887-892. — Бібліогр.: 34 назв. — англ.
series Физика низких температур
work_keys_str_mv AT engelbrechtj solitontrainsindispersivemedia
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first_indexed 2025-07-15T13:52:54Z
last_indexed 2025-07-15T13:52:54Z
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fulltext Low Temperature Physics/Fizika Nizkikh Temperatur, 2018, v. 44, No. 7, pp. 887–892 Soliton trains in dispersive media Jüri Engelbrecht, Tanel Peets, and Kert Tamm Laboratory of Solid Mechanics, Department of Cybernetics, School of Science, Tallinn University of Technology Akadeemia tee 21, Tallinn 12618, Estonia E-mail: je@ioc.ee, tanelp@ioc.ee, kert@ioc.ee Received December 19, 2017, published online May 28, 2018 In this paper two Boussinesq-type mathematical models are described which lead to solitonic solutions. One case corresponds to microstructured solids, another case to biomembranes. The emergence of soliton trains in both cases is demonstrated by using numerical simulation. The pseudospectral method guarantees the high accu- racy in computing. The significance of the nonlinearities — either deformation-type or displacement-type, is demonstrated. PACS: 46.40.Cd Mechanical wave propagation (including diffraction, scattering, and dispersion); 47.35.Fg Solitary waves; 47.54.Fj Chemical and biological applications. Keywords: dispersion, nonlinearities, microstructure, biomembranes, solitons. To the memory of A.M. Kosevich 1. Introduction The celebrated wave equation is one of the classical equations of mathematical physics and describes the mo- tion of a wave with a constant speed. For many practical applications this model must be generalised. One of such a generalisation in conservative media is called after Boussinesq, who derived this model for surface waves on a fluid layer [1,2]. Nowadays the Boussinesq-type models are widely used also in solid mechanics [3]. In brief, such models are (i) bi-directional (including the d’Alembert operator); and in addition (ii) include nonlinear terms (of any order); (iii) include higher order terms (the presence of space and time derivatives of the fourth order or higher) describing the dispersive effects [3]. In general terms, the Boussinesq equation may be presented in a following form: 2 0 ( ) = ( ),tt xxu c u N u D u− + (1) where u is the displacement, 0c is the velocity and indices ,x t here and further denote differentiation. Operator ( )N u expresses nonlinear effects 2 3( ) = ( , , , , )xN u N u u uu  (2) and ( )D u describes dispersive effects 4 4 2 2 6( ) = ( , , , , ).x t x t xD u D u u u u  (3) There are many studies of this type of equations derived using various physical assumptions [3–7]. Attention is paid to the mathematical correctness of models in the sense of Hadamard, i.e., establishing whether the initial value prob- lem is well-posed or ill-posed [3,5]. In physical terms, the Boussinesq-type models describe waves in crystals [5,8], longitudinal waves in rods [6,9], waves in microstructured solids [10,7], waves in biomembranes [11], etc. The most remarkable phenomenon resulting from using models where nonlinearity and dispersion are both taken into account, is the possibility of existence and/or emerg- ing of solitons. Many studies are devoted to the special type of dispersion when ( ) = xxxxD u u . This is typical for cases when the governing equation is derived on the basis of lattice dynamics [5]. The “well-posedness” of such a model is analysed in detail [12,13]. The Boussinesq-type equations which actually model weak dispersion, are not the only ones able to describe solitons, the sine-Gordon equation, for example, is able to model solitons and bound-soliton complexes [14] emerging in ferromagnets. The combination of the sine-Gordon and the Boussinesq-type equations permits to analyse the dislo- cation (crowdion) motion in crystals [15]. This model is 2sin 0,tt xx x xx xxxxu u u u u u− + − γ −β = (4) where γ and β are the physical parameters. Equation (4) is nowadays called the Kosevich–Kovalev equation describing © Jüri Engelbrecht, Tanel Peets, and Kert Tamm, 2018 Jüri Engelbrecht, Tanel Peets, and Kert Tamm motion in a strongly dispersive medium. Other generalisations are possible demonstrating the richness of the model [16]. The striking duality of solitons and quasi-particles is noted [17]. Based on this brief overview, it is clear that Bous- sinesq-type equations govern complicated dynamics. However, one should clearly describe the physics behind the mathematical models. In what follows, the focus is on the emergence of soliton trains modelled by the Bous- sinesq-type equations. The attention will be paid to the model equations focusing on the influence of various nonlinearities on the emergence process together with the fourth-order dispersive terms. The physical background of models is related to the microstructured media: microstructured Mindlin-type solids and biomembranes which possess internal structure. The latter is qualified also as a microstructure. In Sec. 2 types of nonlinearities (deformation-dependent and displacement-dependent) are presented and analysed. Section 3 is devoted to mathe- matical models with dispersive terms. In this case the inertia of a microstructure is taken into account which leads to dispersion operator ( ) = ( , )xxxx xxttD u D u u . This means that in mechanics of microstructured solids disper- sion is more complicated than proposed in lattice dynam- ics [5]. The emergence of soliton trains for two model cases is analysed in Sec. 4. Finally, the discussion and conclusions are presented in Sec. 5. The results obtained earlier are here analysed from a unified viewpoint. 2. Nonlinearities In mechanics of solids the nonlinearities are caused by physical and geometrical effects (see [18]). According to the conventional continuum theory [19], the physical non- linearity means the nonlinearity of the stress-strain rela- tions and the geometrical nonlinearity is related to the fi- nite deformations, i.e., to the strain tensor. The free energy function (potential) in terms of the strain tensor is then presented in the form including beside quadratic terms also the higher order terms. Such a form reflects better the shape of the potential in terms of forces between the atoms in the discrete lattice. Note that as far as the stress tensors are determined by the derivatives of the potential with re- spect to the components of the deformation tensor, the quadratic terms lead to the conventional linear theory [19]. The first approximation of a nonlinear stress tensor in- cludes the quadratic polynomial of displacement gradients. For example, in the one-dimensional case the Kirchhoff stress tensor is [18] 2 11 1 2 3 1= ( 2 ) 3 3 3 , 2x xK u u λ + µ + λ +µ + ν + ν + ν +     (5) where λ, µ are the elastic constants of the second order (the Lamé parameters) and 1ν , 2ν , 3ν are the elastic con- stants of the third order. It means that the velocity is de- termined by the relation 2 2 0= (1 ),xc c ku+ (6) where 0c is the velocity in the unperturbed state and k is the constant of nonlinearity which according to expression (5) is 0= 3(1 )k m+ , 1 0 1 2 3= 2( )( 2 )m −ν + ν + ν λ + µ . Such a situation may lead to the formation of shock waves, i.e., the discontinuities of the solution [18,20]. More complicated free energy potentials lead certainly to more complicated mathematical models [18] but the situa- tion described briefly above is the fundamental case of the nonlinear wave motion in solids. In biological tissues and cells, Exp. (6) might be differ- ent, especially when the discreteness of structures is taken into account. Such a situation is the case of biomembranes which are built by bilayers of lipid molecules. Based on experimental observations, Heimburg and Jackson [21] have proposed for longitudinal waves in biomembranes 2 2 2 0= ,c c pu qu+ + (7) where = Au ∆ρ , Aρ is the density and p, q are experimen- tally determined constants. It means that contrary to solids with deformation- dependent (ux) nonlinearities, for biomembranes the gov- erning wave equation based on expression (7) includes nonlinearities in terms not ux but simply u, i.e., the nonlin- earities are of displacement-type (see below). 3. Mathematical models for dispersive waves In general, dispersion of waves is the separation of waves into constituents of different wave-lengths and may be caused by either geometrical or physical effects. The geometrical dispersion takes place in waveguides due to the influence of the existence of lateral surfaces [9]. The physical dispersion in solids is caused by the existence of the microstructure of the material [5,7]. In the first case dispersion depends on the transverse dimensions of wave- guides, in the second case — on the scale effects. Here we present two nonlinear mathematical models where the physical dispersion is of importance. Both mod- els are of the Boussinesq-type like Eq. (1). Microstructured solids. In the theory of microstructured solids [22,23] the behavior of the macro- and microconti- nuum is described by the separate balance laws. In terms of macro-displacement u and microdeformation ϕ , the sim- plest free energy W is governed by a cubic function 2 2 2 3 31 1 1 1= , 2 2 6 6x x x x xW u A u B C Nu Mα + ϕ + ϕ + ϕ + + ϕ (8) where α, A , B , C , N , M denote material parameters [10]. The balance laws are derived then from the Euler– Lagrange equations. Introducing dimensionless variables 0= /X x L , 0 0= /T c t L , 0= /U u U where 2 0 = /c α ρ and 0U and 0L are certain constants, along with geometrical pa- 888 Low Temperature Physics/Fizika Nizkikh Temperatur, 2018, v. 44, No. 7 Soliton trains in dispersive media rameters 2 0 0= ( / )l Lδ and 0 0= /U Lε , where 0l is the char- acteristic scale of the microstructure, the governing Boussinesq-type equation of motion is derived. By using the slaving principle (see [23]) this governing equation in terms of deformation ( = XV U ) is [24] ( ) ( ) 2 2 = 2 = , 2 TT XX XX TT XX X X XX V bV V V V V µ − −  λ δ δ β − ν     (9) where 2= 1 /( )b A B− α , 0 0= /( )NU Lµ α , 2 2 2 0= / ( ),IA l Bβ ρ 2 2 2 0= /( )CA B lν α and 3 3 3 0 0 0= /( )A MU B l Lλ α are con- stants. Here I denotes microinertia. This equation has a hierarchical structure [20] — two nonlinear wave operators (one at the l.h.s., another at the r.h.s.) describe motion in macro- and microstructure, re- spectively. In such a way, this is an explicit description of mechanical waves in microstructured media [7,20] which takes into account the leading effects. The accuracy of this approximation is established by the analysis of dispersion relations of the original and approximated equations and depends on the ratio of velocities in macro- and micro- structure [25]. Note also that even without the operator of the wave motion in the microstructure, the velocity of waves in the macrostucture is affected (see the structure of the coefficient b). It is possible to solve the inverse prob- lem for Eq. (9) in order to determine the values of its coef- ficients with a suitable accuracy [26]. Equation (9) has soliton-type solutions if the following condition 32 2 2 2 4>c c b  β − ν λ   − µ  (10) is satisfied [26]. Here the velocity of a soliton c is a free parameter. It is interesting to note that for solutions of the highly dispersive Kosevich–Kovalev equation (4) there are also restrictions which govern the existence of soliton complexes [16]. Such conditions seem to be characteristic to generalised models. Biomembranes. These important building blocks for cells and nerves are built by lipid molecules which have hydrophobic tails directed inwards [25]. It has been demon- strated experimentally that such bilayers are able to carry me- chanical waves [26,27]. The molecules of a bilayer can be treated as a microstructure and similarly to solids, the inertia of the microstructure must be taken into account. The mathematical model for longitudinal waves in biomembranes including nonlinearity of the biomembrane expressed by Eq. (7) was derived by Heimburg and Jack- son [21] and improved by Engelbrecht et al. [28] including also inertial effects. The governing equation in the dimen- sionless form is the following: 2 2 1 2 = (1 ) ( 2 ) , TT XX X XXXX XXTT U PU QU U P QU U H U H U + + + + + − + (11) where = /X x l , 0= /T c t l , = / AU u ρ and 2 0= /AP p cρ , 2 2 0= /AQ q cρ , 2 2 1 1 0= /( )H h c l , 2 2 2= /H h l . Note that = Au ∆ρ and l is a certain length (in case of a nerve fibre it is the fibre diameter). The constants 1h and 2h are disper- sion parameters reflecting the elasticity and inertia of the structure, respectively. The accounting of inertia (term XXTTU ) means that the propagation velocity is bounded for higher frequency har- monics [28]. Moreover, neglecting this term, i.e., the pres- ence only the spatial fourth order derivatives in Eq. (10) can lead to instabilities of the solution [5]. 4. The emergence of soliton trains Both mathematical models presented in Sec. 3 are spe- cific cases of the Boussinesq-type Eq. (1) including non- linear and dispersive terms. As well it is known, under the certain conditions the nonlinear and dispersive effects could be balanced resulting in solitons. Since the pioneer- ing studies of Zabusky and Kruskal [29] much attention is paid to the emergence of solitons and soliton trains from an Fig. 1. (a) 2sech -type displacement U (solid line) and defor- mation XU (dashed line), (b) 2sech -type deformation XU (dashed line) and displacement U (solid line). Low Temperature Physics/Fizika Nizkikh Temperatur, 2018, v. 44, No. 7 889 Jüri Engelbrecht, Tanel Peets, and Kert Tamm arbitrary input. Here we demonstrate main features of the emergence processes for both governing equations presented in Sec. 3. Note that there is a fundamental difference in solu- tions of these equations. Equation (9) describes the defor- mation while Eq. (10) describes the displacement. If we con- sider soliton-type solutions for both equations then there is a significant difference in displacements and deformations. A single pulse of a displacement means actually a sign-changing (bipolar) profile of a deformation (Fig. 1. (a)) and a single pulse of a deformation means a change of the displacement from one niveau to another (Fig. 1. (b)) [30]. The following results are obtained by numerical simula- tion using the pseudospectral method (see [31]) which gives high accuracy in computing. As far as the Bous- sinesq-type equations are bi-directional, from a localised initial input two soliton trains will emerge, one to the right, another to the left. Such a solution for the Eq. (9), i.e., the case of a solid with a microstructure is shown in Fig. 2 [24]. The initial input is taken 2 0 0 0( ,0) = sech ( ).V X A B X X− (12) where A0 is the amplitude, B0 is related to the width of the pulse and X0 defines the spacial shift of the input. The coefficients here and further for solutions of Eq. (9) are taken = 0.7188b , = 1.1395µ , = 0.09δ , = 45β , = 9.3867ν , = 1.1470λ . The number of solitons in a train depends on the energy of the initial pulse [24]. For example, two cases are shown in Figs. 3 and 4. In the case of Eq. (10), i.e., the case of a biomembrane, the similar situation is observed. Here one should distin- guish between the normal ( 1 2<H H ) and anomalous 1 2( > )H H ) dispersion. Given the values of < 0P and > 0Q [21] the following results are obtained [32]. Figure 5 demonstrates the emergence of soliton trains for anoma- lous dispersion and Fig. 6 — the emergence of soliton trains for normal dispersion. The significant difference between the cases demon- strated above is the structure of a train. For microstructured solids the trains follow the conventional structure — the larger the amplitude of a soliton, the faster it propagates [29]. For biomembranes, however, given the values of non- linear coefficients ( < 0P and > 0Q ) and anomalous dis- persion, the outcome is different. In a train smaller solitons move ahead and larger solitons follow with a smaller speed. The comparison of two cases is demonstrated in Fig. 7. 5. Summary The emergence of soliton trains is demonstrated for two cases of nonlinear and dispersive operators in the governing equations of the Boussinesq type for weakly dispersive media: microstructured solids and biomembranes. The Fig. 4. Solutions of Eq. (9) in case of 0 = 1A , 0 = 0.05B at dimen- sionless times = 2230T (dashed line) and = 7210T (solid line). Fig. 5. Solutions of Eq. (10) in case of = 0.2186P − , = 0.0043Q , 1 = 0.072144H , 2 = 0.001H at dimensionless times = 15042T (dashed line) and = 98001T (solid line). Fig. 3. Solutions of Eq. (9) in case of 0 = 1A , 0 = 0.01B at dimensionless times = 2230T (dashed line) and = 7000T (solid line). Fig. 2. Formation of trains of solitons from pulse-type initial condition for Eq. (9). Right- and left-going structures are plotted at every = 2000T∆ . For details see [24]. 890 Low Temperature Physics/Fizika Nizkikh Temperatur, 2018, v. 44, No. 7 Soliton trains in dispersive media dispersive effects in both cases are caused by the embedded microstructures while the competing nonli- nearities are different. For microstructured solids, the non- linearities are of the conventional deformation-type terms but for biomembranes due to the structure of bi-layers, the nonlinearities in terms of the governing wave equation are of the displacement-type. The corresponding governing equations allow variation over a wide range of values which results in the changes of nonlinear dynamics. The analysis demonstrates that both models permit the emergence of soliton trains. However, an important problem is to establish whether the single solitons in trains are ‘pure’ solitons or not. The studies reveal that the interactions of solitons obtained in both cases are not fully elastic. Referring to earlier studies out of scope of this paper [11,24], we note here that during the interactions the radiation occurs demonstrating the ‘inelasticity’ of interaction processes. So, strictly speaking, one should call the observed entities ‘quasi-solitons’ which is characteristic in many solitonic systems with inelastic interactions [3]. Acknowledgements This research was supported by the European Union through the European Regional Development Fund (Esto- nian Programme TK 124) and by the Estonian Research Council (projects IUT 33-24, PUT 434). ________ 1. J. Boussinesq, Comptes Rendus l’Academie des Sci. 72, 755 (1871). 2. Lord Rayleigh, Philos. Mag. 1, 257 (1876). 3. C.I. Christov, G.A. Maugin, and A.V. Porubov, C. R. Mécanique 335, 521 (2007). 4. G.A. Maugin, Proc. Estonian Acad. Sci. Phys. Math. 44, 40 (1995). 5. G.A. Maugin, Nonlinear Waves in Elastic Crystals, Oxford University Press, Oxford (1999). 6. A.V. Porubov, Amplification of Nonlinear Strain Waves in Solids, World Scientific, Singapore (2003). 7. A. Berezovski, J. Engelbrecht, A. Salupere, K. Tamm, T. Peets, and M. Berezovski, Int. J. Solids Struct. 50, 1981 (2013). 8. A.M. Kosevich, The Crystal Lattice: Phonons, Solitons, Dislocations, Wiley-VCH, Berlin (1999). 9. A. Samsonov, Strain Solitons in Solids and How to Construct Them, Chapman and Hall/CRC, Boca Raton (2001). 10. J. Engelbrecht, F. Pastrone, M. Braun, and A. Berezovski, in: The Universality of Nonclassical Nonlinearity: Applications to Non-destructive Evaluations and Ultrasonics, P.P. Delsanto (ed.), p. 29 (2006). 11. J. Engelbrecht, K. Tamm, and T. Peets, Philos. Mag. 97, 967 (2017). 12. L.V. Bogdanov and V.E. Zakharov, Phys. D Nonlinear Phenom. 165, 137 (2002). 13. A.A. Himonas and D. Mantzavinos, J. Differ. Equ. 258, 3107 (2015). 14. M.M. Bogdan, A.M. Kosevich, and G.A. Maugin, Wave Motion 34, 1 (2001). 15. A. Kosevich and A. Kovalev, Solid State Commun. 12, 763 (1973). 16. O.V. Charkina and M.M. Bogdan, Symmetry, Integr. Geom. Methods Appl. 2, Paper 047 (2006). 17. G.A. Maugin and C.I. Christov, Proc. Estonian Acad. Sci. Physics. Math. 46, 78 (1997). 18. J. Engelbrecht, Nonlinear Wave Dynamics. Complexity and Simplicity, Kluwer, Dordrecht (1997). 19. A.C. Eringen, Nonlinear Theory of Continuous Media, McGraw-Hill Book Company, New York (1962). 20. G. Whitham, Linear and Nonlinear Waves, Wiley, New York (1974). 21. T. Heimburg and A.D. Jackson, Proc. Natl. Acad. Sci. USA 102, 9790 (2005). 22. R. Mindlin, Arch. Ration. Mech. Anal. 16, 51 (1964). 23. J. Engelbrecht, A. Berezovski, F. Pastrone, and M. Braun, Philos. Mag. 85, 4127 (2005). Fig. 6. Solutions of Eq. (10) in case of = 0.2186P − , = 0.0043,Q 1 = 0.072144H , 2 = 0.1H at dimensionless times = 21207T (dashed line) and = 98001T (solid line). Fig. 7. (a) soliton train for Eq. (9); (b) soliton train for Eq. (10); arrows mark the direction of propagation. 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Peets, Chaos, Solitons & Fract. 73, 108 (2015). ___________________________ 892 Low Temperature Physics/Fizika Nizkikh Temperatur, 2018, v. 44, No. 7 https://doi.org/10.1016/j.wavemoti.2011.04.001 https://doi.org/10.1016/j.wavemoti.2007.09.006 https://doi.org/10.1007/978-3-642-21584-1 https://doi.org/10.1007/978-3-642-21584-1 https://doi.org/10.1088/1478-3975/11/5/051001 https://doi.org/10.1113/jphysiol.1985.sp015898 https://doi.org/10.1007/s10237-014-0596-2 https://doi.org/10.1007/s10237-014-0596-2 https://doi.org/10.1103/PhysRevLett.15.240 https://doi.org/10.1016/j.wavemoti.2016.04.003 https://doi.org/10.1007/978-3-642-00585-5_16 https://doi.org/10.1016/j.chaos.2015.01.013 1. Introduction 2. Nonlinearities 3. Mathematical models for dispersive waves 4. The emergence of soliton trains 5. Summary Acknowledgements