Research article

Exact traveling wave solutions of the stochastic Wick-type fractional Caudrey-Dodd-Gibbon-Sawada-Kotera equation

  • Received: 06 November 2020 Accepted: 18 January 2021 Published: 04 February 2021
  • MSC : 35C07, 35K57

  • In this work, we test the intgrability of the stochastic Wick-type fractional Caudrey-Dodd-Gibbon-Sawada-Kotera (CDGSK) equation on the Painlevé test and construct new Wick-type and nob-Wick-type versions of exact traveling wave solutions of the stochastic Wick-type fractional CDGSK equation by employing the Hermit transformation, the conformable fractional derivative and the sub-equations method. Moreover, we obtain exact traveling wave solutions of the fractional Sawada-Kotera (SK) equation and the fractional Caudrey-Dodd-Gibbon (CDG) equation as well. It is note that physical illustration may be useful to predict internal structure of the considered equations. The results confirm that sub-equations method is very effective and efficient to find exact traveling wave solutions of Wick-type fractional nonlinear evolution equations.

    Citation: Jin Hyuk Choi, Hyunsoo Kim. Exact traveling wave solutions of the stochastic Wick-type fractional Caudrey-Dodd-Gibbon-Sawada-Kotera equation[J]. AIMS Mathematics, 2021, 6(4): 4053-4072. doi: 10.3934/math.2021240

    Related Papers:

    [1] Nikolay Kalaydzhiev, Elena Zlatareva, Dessislava Bogdanova, Svetozar Stoichev, Avgustina Danailova . Changes in biophysical properties and behavior of aging human erythrocytes treated with natural polyelectrolytes. AIMS Biophysics, 2025, 12(1): 14-28. doi: 10.3934/biophy.2025002
    [2] Lajevardipour Alireza, W. M. Chon James, H. A. Clayton Andrew . Determining complex aggregate distributions of macromolecules using photobleaching image correlation microscopy. AIMS Biophysics, 2015, 2(1): 1-7. doi: 10.3934/biophy.2015.1.1
    [3] Claudia Tanja Mierke . Physical role of nuclear and cytoskeletal confinements in cell migration mode selection and switching. AIMS Biophysics, 2017, 4(4): 615-658. doi: 10.3934/biophy.2017.4.615
    [4] Nily Dan . Membrane-induced interactions between curvature-generating protein domains: the role of area perturbation. AIMS Biophysics, 2017, 4(1): 107-120. doi: 10.3934/biophy.2017.1.107
    [5] Klemen Bohinc, Leo Lue . On the electrostatics of DNA in chromatin. AIMS Biophysics, 2016, 3(1): 75-87. doi: 10.3934/biophy.2016.1.75
    [6] Piotr H. Pawłowski . Charged amino acids may promote coronavirus SARS-CoV-2 fusion with the host cell. AIMS Biophysics, 2021, 8(1): 111-120. doi: 10.3934/biophy.2021008
    [7] Andrew H.A. Clayton . Cell Surface Receptors in the 21st Century. AIMS Biophysics, 2014, 1(1): 51-52. doi: 10.3934/biophy.2014.1.51
    [8] István P. Sugár . Density of electric field energy around two surface-charged spheres surrounded by electrolyte I. The spheres are separated from each other. AIMS Biophysics, 2022, 9(2): 86-95. doi: 10.3934/biophy.2022008
    [9] Michelle de Medeiros Aires, Janine Treter, Antônio Nunes Filho, Igor Oliveira Nascimento, Alexandre José Macedo, Clodomiro Alves Júnior . Minimizing Pseudomonas aeruginosa adhesion to titanium surfaces by a plasma nitriding process. AIMS Biophysics, 2017, 4(1): 19-32. doi: 10.3934/biophy.2017.1.19
    [10] Arjun Acharya, Madan Khanal, Rajesh Maharjan, Kalpana Gyawali, Bhoj Raj Luitel, Rameshwar Adhikari, Deependra Das Mulmi, Tika Ram Lamichhane, Hari Prasad Lamichhane . Quantum chemical calculations on calcium oxalate and dolichin A and their binding efficacy to lactoferrin: An in silico study using DFT, molecular docking, and molecular dynamics simulations. AIMS Biophysics, 2024, 11(2): 142-165. doi: 10.3934/biophy.2024010
  • In this work, we test the intgrability of the stochastic Wick-type fractional Caudrey-Dodd-Gibbon-Sawada-Kotera (CDGSK) equation on the Painlevé test and construct new Wick-type and nob-Wick-type versions of exact traveling wave solutions of the stochastic Wick-type fractional CDGSK equation by employing the Hermit transformation, the conformable fractional derivative and the sub-equations method. Moreover, we obtain exact traveling wave solutions of the fractional Sawada-Kotera (SK) equation and the fractional Caudrey-Dodd-Gibbon (CDG) equation as well. It is note that physical illustration may be useful to predict internal structure of the considered equations. The results confirm that sub-equations method is very effective and efficient to find exact traveling wave solutions of Wick-type fractional nonlinear evolution equations.



    Biological processes within the human body depend on biofluids such as blood and urine. The physical and chemical properties of biofluids are of great importance and are used in determining the health status of the human and the diagnosis of diseases [1]. One of the most important parameters of liquid is surface tension. Surface tension is a phenomenon that can be observed during daily life in many processes in nature. The surface tension of biofluids is of great importance as most biochemical reactions occur at the surface and interface [2].

    Blood surface tension is one of the physical properties of blood that is of great importance in many biological functions. The area of study of blood surface tension is not considered an area of preliminary studies, but it is of practical importance in the field of diagnosis and treatment of diseases [3][5].

    Surface tension, as an intricate property of a fluid, depends on many factors such as temperature and viscosity [6]. Human blood contains numerous low-and high molecular weight surfactants, proteins, and lipids that adsorb at fluid interface. The composition of these materials varies according to gender and age, which makes the surface tension of the blood can be changed by changing the age and gender of the human [7],[8]. In biofluids, interfacial forces are involved in cell-to-cell adhesion and maintenance of cell morphology [2].

    Recently, the powerful techniques of the dynamic surface tension measurements have been developed and successfully applied to various biological liquids [8]. The recent ‘adjustments’ of such a general method of blood diagnostics are of particular importance for productive and domestic animals, for diagnostics in veterinary medicine and some biomedical applications [7].

    Previous studies have focused heavily on the effect of biochemical parameters on blood surface tension, as well as study the effect of gender and age on it [2],[7],[9]. The effect of suspended blood cells on whole blood surface tension is still under investigation. Since erythrocytes represent the bulk of blood cells, this study aims to study the effect of the physical properties of erythrocytes on the surface tension of whole blood.

    Human blood samples (n = 20) were collected from adult males aged 35–45 years. Blood was collected by venipuncture in evacuated tube contains EDTA as an anticoagulant. 2 mL from each sample was sent to the clinical laboratory to measure the blood indices by hematology autoanalyzer and to ensure that the samples were free of any diseases affecting the measurements. Mean cell volume (MCV), hematocrit (Hct), and erythrocytes count (RBCs) were indicated form blood indices. All samples were divided in several volumes and stored in the refrigerator at 4 °C until measurements were made. All samples were used within a maximum of 24 hours from the date of collection. When the measurements were done, the samples were incubated at 37 °C for 5 min in water path.

    Bubble Pressure Tensiometer (KRUSS BP 50) was used to determine the dynamic surface tension (γ) of the blood [8],[10]. This tensiometer allowed to use small sample volume (4 mL) with fully automated measurement. The surface tension of erythrocytes suspended in phosphate buffer saline (PBS) was measured in order to evaluate the effect of the presence of plasma on whole blood surface tension.

    Zeta potential measurement was done by Zeta meter System 4.0. (Zeta-Meter, Inc Staunton VA 24402 USA). This system measure Zeta potential(ξ) using a technique called microelectrophoresis. 2 mL of blood was placed in a viewing chamber called an electrophoresis cell. Then an electric field was activated. This causes the cells to move with a velocity that is proportional to their zeta potential.

    Erythrocytes agammaegation and deformability were determined by a Laser-assisted Optical Rotational Cell Analyzer (LORCA, RR Mechatronics, Hoorn, The Netherlands). Erythrocytes agammaegation was also determined by the LORCA system. For determination of erythrocytes agammaegation and deformation, the blood was centrifuged at 3000 to 4000 rpm for 5 min. The plasma and buffy coat were then removed. Erythrocytes were washed three times in phosphate buffered saline (PBS) solution (pH 7.4, 290 mOsmol/kg). The washed erythrocytes were resuspended in autologous plasma with the hematocrit being fixed at 30%. The samples were sheared at a high shear rate in order to disperse all pre-existing agammaegates, following by reducing shear rate gradually to zero. The extent of erythrocytes agammaegation was determined by measuring the agammaegation index (AI). Erythrocytes deformability was measured at 37 °C based on laser diffraction patterns obtained at defined shear stress. The LORCA system determines RBC elongation under shear and reports an elongation index (EI) which is directly proportional to erythrocyte deformability.

    Surface tension measurement was done in triplicate, and the result was represented as mean ± SD. Correlation analysis (Pearson's correlation) was done for the relationships between surface tension and other parameters. SPSS 23 (IBM Corp. Released 2015. IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.) was used in data analysis.

    The measured γ was 52.8 ± 2.3 N/m for normal blood samples. E. Hrnčíř and J. Rosina measured blood surface tension by the drop method. Their results showed that The relative blood surface tension in the examined group (n = 71) was 55.89 ± 3.57 × 10−3 (SD) and no significant differences between men and women were obtained [11]. Values of blood surface tension obtained in this study were in agreement with the previous studies which used different measurement methods of blood surface tension.

    Figure 1 illustrates the relationship between surface tension and the mean volume of erythrocytes. The results showed a change in the blood surface tension with the size of the erythrocytes. A strong positive correlation (R2 = 0.65) between γ and MCV was indicated. Figure 2 shows positive relationship between blood surface tension and packed erythrocytes volume (R2 = 0.65). In contrary, erythrocytes counting was inversely proportional to surface tension (R2 = 0.78) as indicated in Figure 3. Hadidimasouleh et al. established a new model to take in a count the presence of suspended particles in colloidal suspensions when measuring surface tension by maximum bubble pressure method. They demonstrated that surface tension could be altered by the concentration and size of colloidal particles [12]. Assuming that blood is a suspension, the results obtained in this study are consistent with the results of previous studies in terms of the effect of the volume of suspended particles (erythrocytes) on the surface tension of suspension (blood).

    Figure 1.  The surface tension of the blood changes directly by erythrocyte volume. The Surface tension is positively correlated with mean erythrocyte volume.
    Figure 2.  The surface tension of the blood changes directly by haematocrit percentage.
    Figure 3.  The surface tension of the blood changes inversely by erythrocytes count.

    Figure 4 shows the association of blood surface tension with the agammaegation index (AI) of the erythrocytes. Strong direct correlation (R2 = 0.6) was indicated for the relationship between γ and AI. L. Dong, and D. Johnson, studied the surface tension of charge-stabilized Titania suspensions. They found that the surface tension of this suspension strongly depends on the particle concentration. To stages of the variation in surface tension with particle concentration were indicated: i) decrease of surface tension at low concentration ii) increase in surface tension with a further increase in the particle concentration. They explained that as capillary forces may acting between suspended particles causing the increase in the surface tension at the higher concentrations [13]. Erythrocytes could be considered as negatively charged particles suspended in plasma. Erythrocytes form agammaegates at low shear rate or stasis. These agammaegates take network like shape. The association between surface tension and erythrocytes agammaegation given in this study may be explained as the size of agammaegates increase the capillary forces increase causing influence the surface tension.

    Figure 4.  Blood surface tension is strongly correlated to the aggregation index.

    Figure 5 illustrates the relationship between blood surface tension and Zeta potential. A weak correlation (R2 = 0.2) between γ and ζ was found. Figure 6 shows the relationship between the blood surface tension and erythrocytes deformability. Also, a weak correlation was found (R2 = 0.4) for the relationship between γ and EI. This can be explained as the fact that surface tension is affected by the bulk properties of the suspended particles and not by the internal properties of the particles. Plasma includes many chemicals components which have direct effect on whole blood properties. Figure 7 illustrates the effect of the presence of plasma on surface tension. The value of γ for erythrocytes suspended in plasma was 52.8 ± 2.3 N/m while for erythrocytes suspended in PBS was 50.5 ± 0.25 N/m. there was no significant deference between both values. Indeed, this confirms the hypothesis that the physical properties of blood cells can be one of the important factors in the change of surface tension of blood beside the other biochemical factors.

    Figure 5.  The Surface tension is weakly correlated with erythrocytes Zeta potential.
    Figure 6.  Blood surface tension is weakly correlated with erythrocytes deformability.
    Figure 7.  Comparison of surface tension in the case of erythrocytes suspended in plasma and in Phosphate-buffered saline.

    Particles suspended in colloidal suspension affect the surface tension of the suspension. This fact draws our attention to the need to take into account the physical properties of blood cells when studying the surface tension of blood and its derivatives. From this study it can be concluded that not only biochemical agents are affecting surface tension, but also the physical properties of erythrocytes can have an effect on it.



    [1] D. Baleanu, M. Inc, A. Yusuf, A. I. Aliyu, Lie symmetry analysis, exact solutions and conservation laws for the time fractional Caudrey-Dodd-Gibbon-Sawada-Kotera equation, Commun. Nonlinear Sci. Numer. Simulat., 59 (2018), 222–234. doi: 10.1016/j.cnsns.2017.11.015
    [2] R. N. Aiyer, B. Fuchssteiner, W. Oevel, Solitons and discrete eigenfunctions of the recursion operator of non-linear evolution equaitons: the Caudrey-Dodd-Gibbon-Sawada-Kotera equations, J. Phys. A, 19 (1986), 3755–3770. doi: 10.1088/0305-4470/19/17/536
    [3] A. H. Salas, O. G. Hurtado, E. Jairo, E. Castillo, Computing multi-soliton solutions to Caudrey-Dodd-Gibbon equation by Hirota's method, Int. J. Phys Sci., 6 (2011), 7729–7737.
    [4] B. O. Jiang, B. Qinsheng, A study on the bilinear Caudrey-Dodd-Gibbon equation, Nonlinear Anal., 72 (2010), 4530–4533. doi: 10.1016/j.na.2010.02.030
    [5] N. H. Ibragimov, A new conservation theorem, J. Math. Anal. Appl., 333 (2007), 311–328.
    [6] Y. Wang, L. Li, Lie Symmetry Analysis, Analytical Solution, and Conservation Laws of a Sixth-Order Generalized Time-Fractional Sawada-Kotera Equation, Symmetry, 11 (2019), 1436. doi: 10.3390/sym11121436
    [7] M. Safari, Application of He's Variational Iteration Method and Adomian Decomposition Method to Solution for the Fifth Order Caudrey-Dodd-Gibbon (CDG) Equation, Appl. Math., 02 (2011).
    [8] H. Naher, F. A. Abdullak, M. A. akbar, The (G/G)-expansion method for abundant traveling wave solutions of Caudrey-Dodd-Gibbon equation, Math. Problems Eng., 2011 (2011), ArticleID 218216.
    [9] M. Arshad, D. Lu, J. Wang, Abdullah, Exact traveling wave solutions of a fractional Sawada-Kotera Equation, East Asian J. Appl. Math., 8 (2018), 211–223. doi: 10.4208/eajam.090617.231117a
    [10] K. Diethelm, N. J. Ford, A. D. Freed, A predictor-corrector approach for the numerical solution of fractional differential equations, Nonlinear Dynam., 29 (2002), 3–22. doi: 10.1023/A:1016592219341
    [11] K. Hosseini, M. Matinfar, M. Mirzazadeh, A (3+1)-dimentional resonant nonlinear Schrodinger equation and its Jacobi elliptic and exponential function solutions, Optik-Int. J. Light Elecron Optics, 207 (2020), 164458. doi: 10.1016/j.ijleo.2020.164458
    [12] K. Hosseini, M. Mirzazadeh, J. Vahidi, R. Asghari, Optical wave structures to the Fokas-Lenells equation, Optik-Int. J. Light Elecron Optics, 207 (2020), 164450. doi: 10.1016/j.ijleo.2020.164450
    [13] K. Hosseini, M. Mirzazadeh. J. F. Gomez-Aguilar, Soliton solutions of the Sasa-Satsuma equation in the monomode optical fibers including the beta-derivatives, Optik-Int. J. Light Elecron Optics, 224 (2020), 165425. doi: 10.1016/j.ijleo.2020.165425
    [14] K. Hosseini, M. Mirzazadeh, M. Ilie, J. F. Gomez-Aguilar, Biswas-Arshed equation with the beta time derivative: Optical solitons and other solutions, Optik-Int. J. Light Elecron Optics, 217 (2020), 164801. doi: 10.1016/j.ijleo.2020.164801
    [15] M. Wang, Y. Zhou. Z. Li, Application of a homogeneous balance method to exact solutions of nonlinear equations in mathematical physics. Physics Letter A, 216 (1996), 67–75.
    [16] A. M. Wazwaz, Multiple soliton solutions for (2+1)-dimensional Sawada-Kotera and Caudrey-Dodd-Gibbon equations, Math. Meth. Appl. Sci., 34 (2011), 1580–1586. doi: 10.1002/mma.1460
    [17] S. Bibi, N. Ahmed, I. Faisal, S. T. Mohyud-Din, M. Rafiq, U. Khan, Some new solutions of the Caudrey-Dodd-Gibbon (CDG) equation using the conformabel derivative, Adv. Differ. Equ., (2019), 2019: 89.
    [18] A. Neamaty, B. Agheli, R. Darzi, Exact traveling wave solutions for some nonlinear time fractional fifth-order Caudrey-Dodd-Gibbon equation by (G/G)-expansion method, SeMA, 73 (2016), 121–129. doi: 10.1007/s40324-015-0059-4
    [19] N. A. Kudryashov, Painlevé analysis and exact solutions of the Korteweg-de Vries equation with a soure, Appl. Math. Lett., 41 (2015), 41–45. doi: 10.1016/j.aml.2014.10.015
    [20] R. Garrappa, E. Kaslik, M. Popolizio, Evaluation of fractional integrals and derivatives of elementary functions: Overview and tutorial, Mathematics, 407 (2019).
    [21] G. M. Bahaa, Fractional optimal control problem for differential system with control constraints, Filomat, 30 (2016), 2177-–2189. doi: 10.2298/FIL1608177B
    [22] M. K. Li, M. Sen, A. Pacheco-Vega, Fractional-Order-Based system identification for heat exchangers, proceedings of the 3rd world congress on momentum, Heat Mass Transfer, ENFHT, 134 (2018).
    [23] X. F. Pang, The Properties of the Solutions of Nonlinear Schrodinger Equation with Center Potential, Int. J. Nonlinear Sci. Numer. Simul., 15 (2014), 215–219.
    [24] B. Kafash, R. Lalehzari, A. Delavarkhalafi, E. Mahmoudi, Application of sochastic differential system in chemical reactions via simulation, MATCH Commun. Math. Comput. Chem., 71 (2014), 265–277.
    [25] C. H. Lee, P. Kim, An analyrical appreoach to solutions of master equations for stochastic nonlinear reactions, J. Math. Chem., 50 (2012), 1550–1569. doi: 10.1007/s10910-012-9988-7
    [26] K. S. Miller, B. Ross, An introduction to the fractional calculus and fractional differential equations, New York, Wiley, 1993.
    [27] I. Podlubny, Fractional differential equations, San Diego, Academic Press, 1999.
    [28] B. Ahmad, S. K. Ntouyas, A. Alsaedi, On a coupled system of fractional differential equations with coupled nonlocal and integral boundary conditions, Chaos Solitons Fract., 83 (2016), 234–241. doi: 10.1016/j.chaos.2015.12.014
    [29] S. G. Samko, A. A. Kilbas, O. I. Marichev, Fractional integrals and derivatives, Theory Appl., 1993 (1993), Gordon and Breach, Yverdon, Switzerland.
    [30] M. Salinas, R. Salas, D. Mellado, A. Gları, C. Saavedra, A computational fractional signal derivative method, Model. Simul. Eng., 2018 (2018), Article ID 7280306.
    [31] Z. Korpinar, F. Tchier, M. Inc, F. Bousbahi, F. M. O. Tawfiq, M. A. Akinlar, Applicability of time conformable derivative to Wick-fractional-stochastic PDEs, Alexandria Eng. J., 59 (2020), 1485–1493. doi: 10.1016/j.aej.2020.05.001
    [32] J. H. Choi, H. Kim, R. Sakthivel, Periodic and solitary wave solutions of some important physical models with variable coefficients, Waves Random Complex Media, (2019), Available from: https://doi.org/10.1080/17455030.2019.1633029.
    [33] A. Atangana, R. T. Alqahtani, Modelling the spread of river blindness disease via the Caputo Fractional Derivative and the Beta-derivative, Entrophy, 18 (2016).
    [34] A. Atangana, E. F. D. Goufo, Extension of mathced asymtoic method to fractional boundary layers problems, Math. Problems Eng., 2014 (2014), 107535.
    [35] H. Holden, B. Øksendal, J. Uboe, T. Zhang, Stochastic partial differential equations, second edition, Universitext, Springer, New York, 2010.
    [36] M. J. Ablowitz, P. A. Clarkson, Soliton, Nonlinear Evolution Equations and Inverse Scattering, In: London Mathematical Society Lecture Note Series, 149, Cambridge University Press, 1996. 512.
    [37] M. J. Ablowitz, A. Ramani, H. Segar, A connection between nonlinear evolution equaions and ordinary differential equations of P-type. I, J. Math. Phys., 21 (1980), 715–721. doi: 10.1063/1.524491
    [38] M. J. Ablowitz, A. Ramani, H. Segar, A connection between nonlinear evolution equaions and ordinary differential equations of P-type. II, J. Math. Phys., 21 (1980), 1006–1015. doi: 10.1063/1.524548
    [39] F. Gao, C. Chi, Improvement on conformable fractional derivative and its applications in fractional differential equations, J. Function Spaces, 2020 (2020), 5852414. Available from: https://doi.org/10.1155/2020/5852414.
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2728) PDF downloads(140) Cited by(5)

Figures and Tables

Figures(9)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog