Binding of anisotropic curvature-inducing proteins onto membrane tubes
Abstract
Bin/Amphiphysin/Rvs superfamily proteins and other curvature-inducing proteins have anisotropic shapes and anisotropically bend biomembrane. Here, we report how the anisotropic proteins bind the membrane tube and are orientationally ordered using mean-field theory including an orientation-dependent excluded volume. The proteins exhibit a second-order or first-order nematic transition with increasing protein density depending on the radius of the membrane tube. The tube curvatures for the maximum protein binding and orientational order are different and varied by the protein density and rigidity. As the external force along the tube axis increases, a first-order transition from a large tube radius with low protein density to a small radius with high density occurs once, and subsequently, the protein orientation tilts to the tube-axis direction. When an isotropic bending energy is used for the proteins with an elliptic shape, the force-dependence curves become symmetric and the first-order transition occurs twice. This theory quantitatively reproduces the results of meshless membrane simulation for short proteins, whereas deviations are seen for long proteins owing to the formation of protein clusters.
I Introduction
In living cells, numerous types of proteins work together to regulate biomembrane shapes of cells and organelles McMahon and Gallop (2005); Suetsugu et al. (2014); Johannes et al. (2015); Brandizzi and Barlowe (2013); Hurley et al. (2010); McMahon and Boucrot (2011); Baumgart et al. (2011); Has and Das (2021). Proteins are also involved in dynamic processes such as endo-/exocytosis, vesicle transport, cell locomotion, and cell division. Clathrin and coat protein complex (COPI and COPII) bend membranes in a laterally isotropic manner and generate spherical buds Johannes et al. (2015); Brandizzi and Barlowe (2013); Hurley et al. (2010); McMahon and Boucrot (2011). On the contrary, Bin/Amphiphysin/Rvs (BAR) superfamily proteins bend the membrane anisotropically and generate cylindrical membrane tubes McMahon and Gallop (2005); Suetsugu et al. (2014); Johannes et al. (2015); Itoh and De Camilli (2006); Masuda and Mochizuki (2010); Mim and Unger (2012); Frost et al. (2008); Sorre et al. (2012); Zhu et al. (2012); Tanaka-Takiguchi et al. (2013); Adam et al. (2015). The BAR domains consist of a banana-shaped dimer and bend the membrane along its axis. Dysfunctions of the BAR proteins are considered to be implicated in neurodegenerative, cardiovascular, and neoplastic diseases. Thus, understanding the mechanism of the curvature generation by these proteins is important.
The curvature-inducing proteins can sense the membrane curvature, i.e., they are concentrated in membranes that have their preferred curvatures. The sensing of curvature-inducing proteins, such as BAR proteins Baumgart et al. (2011); Has and Das (2021); Sorre et al. (2012); Prévost et al. (2015); Tsai et al. (2021), dynamin Roux et al. (2010), and G-protein coupled receptors Rosholm et al. (2017), has been examined using a tethered vesicle pulled by optical tweezers and a micropipette. They typically bind more onto the membrane tube than the remaining spherical component.
Theoretically, the bending energy of a single-component fluid membrane is well described by the second-order expansion to the curvature (Canham–Helfrich energy) Canham (1970); Helfrich (1973). The binding of proteins with a laterally isotropic spontaneous curvature is considered to locally change the coefficients of the Canham–Helfrich energy (the bending rigidity and spontaneous curvature). Budding Lipowsky (1992); Sens (2004); Foret (2014); Frey and Schwarz (2020); Tozzi et al. (2019); Noguchi (2021a) and other shape deformations Goutaland et al. (2021); Noguchi (2021b) induced by protein binding have been well explained by mean-field theories using this bending energy. Moreover, traveling waves of membrane deformation can be reproduced by the coupling with reaction-diffusion of multiple types of proteins Gov (2018); Wu et al. (2018); Tamemoto and Noguchi (2020, 2021). In contrast, the effects of the anisotropic spontaneous curvature of proteins have been much less explored. Instead, the bending energy for isotropic spontaneous curvature has been often used for the analysis of BAR proteins Prévost et al. (2015); Wu et al. (2018); Tsai et al. (2021). A few approaches have been examined for the anisotropy of the protein binding. The Canham–Helfrich energy was extended for anisotropic spontaneous curvature Fournier (1996); Kabaso et al. (2011) and membrane-mediated interactions between non-deformable anisotropic objects have been investigated Dommersnes and Fournier (1999, 2002); Schweitzer and Kozlov (2015); Noguchi and Fournier (2017). For cylindrical membranes, the axis of banana-shaped proteins were assumed aligned in the azimuthal direction to derive a force–extension curve Noguchi (2015). However, the entropic interaction of the protein orientation has not been considered in these studies.
Recently, this entropic interaction was taken into account by two of us and co-workers Tozzi et al. (2021); Roux et al. (2021) based on Nascimentos’ theory for three-dimensional liquid-crystals Nascimento et al. (2017). An isotropic-to-nematic transition was obtained on a fixed membrane shape. In this study, we examine the binding of the anisotropic proteins to a cylindrical membrane tube in detail. The axial force along the membrane tube and equilibrium of protein binding/unbinding are considered. Moreover, we clearly show the difference from the binding of isotropic proteins Noguchi (2021b). The tube part of a tethered vesicle is well approximated by this tube with no volume constraint, when tube radius is much smaller than the vesicle radius Noguchi (2021b).
Several types of membrane models have been developed for coarse-grained simulations Müller et al. (2006); Venturoli et al. (2006); Noguchi (2009). The protein binding has been investigated using molecular simulations Arkhipov et al. (2008); Yu and Schulten (2013); Simunovic et al. (2013); Gómez-Llobregat et al. (2016); Olinger et al. (2016); Takemura et al. (2017); Mahmood et al. (2019), dynamically triangulated membrane simulations Ramakrishnan et al. (2013); Behera et al. (2021), and meshless membrane simulations Noguchi (2014, 2015, 2016a, 2016b); Noguchi and Fournier (2017); Noguchi (2017, 2019a). Among them, however, the binding effects on the axial force of a membrane tube have been investigated only by the meshless simulations Noguchi (2014, 2015, 2016b); a characteristic force dependence on the protein curvature was reported for homogeneous states at low protein curvatures, in addition to the protein assembly accompanied by membrane shape transformation at high protein curvatures. Here, we compare our theoretical results with those of the meshless simulations.
The mean-field theory is described in Sec. II. Simulations of membrane tubes are described in Sec. III. The simulation results are compared with the theoretical results in Sec. III.2. Finally, a summary and discussion are presented in Sec. IV.

II Theoretical analysis
II.1 Theory
Protein binding on a cylindrical membrane tube is considered as depicted in Fig. 1(a). The membrane is in a fluid phase and the surface area is fixed. The radius and length of the tube are and : . The tube volume can be freely changed. This corresponds to the tubular region of a tethered vesicle in the limit condition, in which the tube volume is negligibly small (, where is the vesicle volume) Smith et al. (2004); Noguchi (2021b). Proteins can align in the membrane surface. To quantify it, the degree of the orientational order is calculated as
(1) | |||||
(2) |
where is the ensemble average, and is the angle between the major protein axis and the ordered direction. The angles between the ordered direction and the azimuthal direction of the cylinder and between the major protein axis and azimuthal direction are and , respectively, with (see Fig. 1(a)). Experimentally, the oritational order along the tube () axis is more easily measured: for and , and , respectively.
The bound protein is approximated to have laterally an elliptic shape with an aspect ratio of and area , where are are the lengths in the major and minor axes, respectively. An orientation-dependent excluded-volume interaction is considered between proteins. When two proteins are perpendicularly oriented, the excluded area between them is larger than the parallel pairs, as shown in Fig. 1(b). This area is expressed as by a Taylor expansion, where is the angle between the major axes of two ellipses. In our previous study Tozzi et al. (2021), the values of and are calculated by a two-parameter fit. In this study, the one-parameter fit of is used, since the minimum value is obtained at the parallel pairs () for any ratio of : , , , and at , , , and , respectively. The effective excluded area is represented by . The parameter is a function of the protein density and at a low-density limit Nascimento et al. (2017). At the close-packed condition, the area fraction of the bound protein has the maximum: in two-dimensional space Tanemura and Matsumoto (1997). For simplicity, we use a constant value, , as in our previous study Tozzi et al. (2021); Roux et al. (2021), i.e., . In this study, we consider no attractive interactions between the proteins and focus on isotropic and nematic phases, such that smectic and crystal phases are not in the scope.
The bending energy of the bare (unbound) membrane is given by
(3) |
where and are the principal curvatures ( and for the cylinder). The unbound membrane has a bending rigidity and zero spontaneous curvature. The tubular membrane is connected to a large lipid reservoir, and the area difference elasticity Seifert (1997); Svetina (2009) is negligible. The bound protein gives an additional bending energy as , where is the number of the bound protein and is the bending energy of one protein. The protein has an anisotropic bending energy:
(4) | |||||
(5) | |||||
(6) |
where and are curvatures along the major and minor axes of the proteins, respectively. and are the bending rigidity and spontaneous curvature along the major protein axis, respectively, and and are those along the minor axis (side direction). Here, is used unless otherwise specified.
The free energy of the bound proteins is expressed as
(7) | |||||
(8) | |||||
(9) | |||||
(10) |
where denotes the unit step function, is the thermal energy, and . The factor expresses the effect of the orientation-dependent excluded volume, where and . Unoverlapped states exist at . Since is the weight of each protein orientation, the ensemble average of a quantity is given by
(11) |
The quantities and are the symmetric and asymmetric components of the nematic tensor, respectively, and are determined by Eq. (1) and using Eq. (11). When the nematic order is parallel to one of the directions of the membrane principal curvatures ( or ), . The free energy minimum is calculated from . More detail is described in Ref. 42.
In this study, we examine the axial force and the equilibrium of the protein binding and unbinding. In experiments, an external force is imposed by optical tweezers and micropipette in order to extend a membrane tube from a liposome. The free energy is give by . This force is balanced with the membrane axial force and is obtained by as
(12) |
The last term represents the force of the bare membrane tube (),
(13) |
where is the force at and is used as the unit hereafter.
The proteins bind and unbind the membrane with the binding chemical potential . The equilibrium of the binding and unbinding is obtained by minimizing . Hence, the equilibrium protein density is calculated from . Here, the number of the lipids and the area remain constant, so that the ensemble is changed from the ensemble to ensemble.
Unless otherwise specified, we use and , which correspond to the N-BAR domain ( nm nm, and nm) Roux et al. (2021). Another area ratio is used to examine dependence. The detail of the numerical methods is described in Appendix A.









II.2 Theoretical results
For flat membranes, the proteins exhibit a first-order transition from a randomly oriented state () to an ordered state () with increasing protein density , as shown in Fig. 2(a). This transition density decreases as the elliptic ratio increases, and the same behavior is obtained for spherical membranes Tozzi et al. (2021). For cylindrical membranes, the proteins are oriented on average even at (see Figs. 2(b)–(e)). The maximum density is given by
(14) |
that is independent of the membrane curvature (). The straight line () for in Fig. 2(a) is divided into two, and the right branch remains even at large tube curvatures, , although it has a high energy with a narrow width of (see dashed lines at in Figs. 2(b)–(e)). Meanwhile, the left branch connects to the upper branch at (see Fig. 2(b)). Note that it is separated at (data not shown). At , the proteins prefer to align to the azimuthal direction (), while the thermal fluctuations disturb it. Hence, the proteins are more ordered (higher ) at higher (see Fig. 3(a)). At high density (close to ), is dominantly determined by the orientation-dependent excluded volume and the effects increase with increasing (see Fig. 3).
At , the protein preferred direction is tilted either to a positive or negative angle of . At low , the positive and negative angles simultaneously exist, so that the proteins exhibit a symmetric distribution with (see Fig. 4). In contrast, at high , these two angles cannot coexist at the same time owing to the large excluded-volume interactions between them (see the right distributions in Figs. 4(c) and (d)). The transitions between these two states are the second order and first order for and (see Figs. 4(a) and (b)), respectively. The two states coexist at and as shown in Fig. 4(d). Correspondingly, the – curves exhibit discrete changes of the slope and position (see Figs. 2(d) and (e)), respectively. In the case of the second-order transition, the excluded-volume interactions push the protein into the azimuthal direction leading to the angular distribution of a single peak near the transition point (see the data at in Fig. 4(c)), so that the symmetric peak continuously changes to an asymmetric peak at the transition.
Figure 5 shows the tube curvature dependence of the orientational degree along the tube axis, protein free-energy, and axial force . The preferred orientation changes from to at , so that changes from negative values () to positive values (). Interestingly, the orientational order () has a maximum at , i.e., less than the matching curvature (see Figs. 5(a) and 2). Oppositely, the curvature of the free-energy minimum is higher than the matching curvature (see Fig. 5(b)). These are determined by the competition between the orientational entropy and bending energy. The curvature () of the maximum order and decrease with increasing and (see Fig. 6); at , , in which the strength of the approximately harmonic potential of for (i.e., ) is maximum. The amplitudes of the order and the depth of free-energy minimum increase with increasing (see Figs. 5(a) and (b), respectively). Corresponding to the larger energy change in , the axial force deviates more from the value of the bare membrane ( given by Eq. (13)) at higher (see Fig. 5(c)). Spontaneously formed membrane tubes require no axial force (i.e., ). The generation curvature of this spontaneous tube increases with increasing and (see the inset of Fig. 5(c)), i.e., a narrower tube is generated. Note that also depends on the bending rigidity of the bare membrane in contrast to and .
Next, we examine the effects of the protein bending energy in the side direction (see Fig. 7). At zero side spontaneous curvature (), the proteins more align in the azimuthal direction with increasing , since the curvature in the side direction becomes closer to . This effect is pronounced at narrow tubes, whereas it is negligible for . For a negative value of , and become close to , and the proteins more align in a wider range of . For a positive value of , and become deviated from , and the proteins less align. The generation curvature slightly increases with increasing : , , and at , , and , respectively, for the condition used in Fig. 7.
We have fixed the protein curvature until here. Figure 8 shows the effects of variation with maintaining the other parameters. As changes from null to , the nematic orientation changes from the axial direction () to the azimuthal direction () (see the left half of Fig. 8(c)). This change becomes steeper at higher . During this change, the axial force is almost constant, although a small peak appears for high and/or high (see the left regions of Figs. 8(a) and (b)). This is due to little change in the bending energy, because the proteins can find their preferred curvature by adjusting their orientation. For , almost linearly decreases, and the slope increases with increasing and (see the right region of Figs. 8(a) and (b)). These dependencies qualitatively agree with the results of our previous meshless membrane simulations Noguchi (2014, 2015, 2016b). A quantitative comparison is described in Sec. III.2.
Finally, we examine the equilibrium of the protein binding and unbinding. As the binding chemical potential increases, more proteins bind onto the membrane. The protein binding exhibits a first-order transition from a wide tube with low to a narrow tube with high at small force, (see Fig. 9). This transition agrees with the observation of the coexistence of two tubes with different and in the experiments of an I-BAR protein Prévost et al. (2015). The force-dependence curves shown in Fig. 9 are asymmetric and exhibit weak dependence at , owing to the adjustment of the protein orientation that reduces a change in the protein bending energy (see Fig. 9(c)). These behaviors are different from the binding of proteins with an isotropic spontaneous curvature Noguchi (2021b), where the – and– curves are point symmetric and reflection symmetric to , respectively.
The protein binding has a maximum in the variation of the tube curvature (compare Figs. 9(a) and (b)). This curvature is called sensing curvature (denoted ) and can be calculated from . Interestingly, is varied by and (see Fig. 6). For low at low , approach , since the excluded volume gives negligible effects. For high ( in Fig. 6(a)), becomes lower than , and has a broad peak. A similar dependence on the tube curvature has been reported in the experiments of the BAR proteins Prévost et al. (2015); Tsai et al. (2021). It indicates the anisotropic interaction of the BAR proteins.
The asymmetry of the force-dependence curves is caused not by the orientation-dependent excluded volume but by the anisotropy of the protein bending energy. To clearly show it, the force-dependence curves for the elliptic proteins with an isotropic spontaneous curvature are plotted in Fig. 10. The proteins have a bending energy
(15) |
instead of . Note that the anisotropic bending energy with and does not coincide to except for the case of or . The – and– curves become point symmetric and reflection symmetric to , respectively, and the first-order transitions occur both at small and large forces symmetrically. The transition points are almost constant for a variation in . This is due to the excluded-volume dependence on the protein orientation, since the transition points move outwards in the case of orientation-independent excluded volume Noguchi (2021b).
III Simulation
III.1 Simulation model
A fluid membrane is represented by a self-assembled single-layer sheet of particles. The position and orientational vectors of the -th particle are and , respectively. The membrane particles interact with each other via a potential . The potential is an excluded volume interaction with diameter for all pairs of particles. The solvent is implicitly accounted for by an effective attractive potential . The details of the meshless membrane model and protein rods are described in Ref. 66 and Refs. 57; 59, respectively. We employ the parameter sets used in Ref. 59.
The bending and tilt potentials are given by and , respectively, where , , , is a weight function. The spontaneous curvature of the membrane is given by . Shiba and Noguchi (2011) In this study, and are used except for the membrane particles belonging to the protein rods.
An anisotropic protein and membrane underneath it are together modeled as a rod that is a linear chain of membrane particles Noguchi (2014). We use and with the density . The protein rods have spontaneous curvatures along the rod axis and have no spontaneous (side) curvatures perpendicular to the rod axis. The protein-bound membrane are more rigid than the bare membrane: the values of and are times higher than those of the bare membrane.
The membrane has mechanical properties that are typical of lipid membranes: the bare membrane has a bending rigidity , area of the tensionless membrane per particle , area compression modulus , edge line tension Noguchi (2014), and the Gaussian modulus Noguchi (2019b). The bending rigidity is calculated by Eq. (13), which is slightly greater than the value () estimated by thermal undulation Shiba and Noguchi (2011). The membrane tube with a length of is connected by the periodic boundary, and the tube volume can be freely varied. Molecular dynamics with a Langevin thermostat is employed Shiba and Noguchi (2011); Noguchi (2011). The dependence on the rod curvature was calculated at and in Ref. 59 using the replica-exchange method Hukushima and Nemoto (1996); Okamoto (2004). The dependence on the tube radius was calculated at and in this study.





III.2 Comparison of simulation and theoretical results
Figure 11 and Figs. 12,13 show the simulation and theoretical results for the short and long protein rods ( and ), respectively. Since the simulated proteins do not have an elliptic shape and are flexible, the protein parameters are adjusted as follows. For the short rods, we used the orientational degree at (the second line from the top in Fig. 11(d)) for a fit and obtained and for and . This parameter set reproduces the simulation data of and at different values of very well. Thus, this theory can quantitatively describe the behavior of the short proteins.
However, less agreement is obtained for the long rods of (see Figs. 12 and 13). It is due to the protein assembly induced by the membrane-mediated attractive interactions between the proteins (see the snapshots in Figs. 12(a)–(c)). At a high rod curvature (), the proteins assemble in the azimuthal direction, and the membrane deforms into an elliptic tube, as shown in Fig. 12(c). For longer (narrower) and shorter (wider) tubes, cylindrical and triangular shapes are formed (see Movie 1 in ESI). Thus, large negative values of (Fig. 12(e)) and nonmonotonic dependence of for () at (Fig. 13(a)) are obtained. In the elliptic and triangular membranes, the proteins align in the azimuthal direction, so that their stabilities can be analyzed by assuming a fixed protein orientation as reported in Ref. 41. More detail of this assembly is described in Refs. 57; 41; 59.
For a lower rod curvature () of the long rods at , the azimuthal assembly does not occur, but clusters of a few proteins appear as shown in Figs. 12(a) and (b). We fitted the linear-decrease region of the force-dependence curve in Fig. 13(a) at and obtained , , , and with , , , and for , , , and , respectively, at and . The orientational orders calculated by these parameter sets show quantitative deviation from the simulation data, although they capture qualitative behavior (see Figs. 12(e) and 13(b)). Moreover, the other regions of the force-dependence curves have quantitative differences: the heights of peaks at in Fig. 13(a) deviate from the simulation values, and the slopes at in Fig. 12(d) are different. Although the present theory assumes the uniform lateral distribution of the proteins, the protein clusters can bend the membrane more strongly as demonstrated by the formation of the elliptic tube. Therefore, we consider that the clusters effectively work as large or rigid proteins. The greater values of and obtained by the fits support this mechanism. Thus, for a quantitative prediction of a long protein (i.e., a large elliptic ratio ), it is significant to include the effects of the protein clusters.
IV Summary and discussions
We have studied the equilibrium states of the anisotropic curvature-inducing proteins theoretically and compared them with the simulation results. The protein is assumed to have an elliptic shape with a bending rigidity and spontaneous curvature mainly along the major axis of the protein. On narrow membrane tubes, the proteins exhibit a first-order nematic transition with increasing protein density as reported in our previous paper Tozzi et al. (2021). Here, we found that this transition becomes the second order on the tubes with intermediate radii. In our previous study, the proteins on a membrane with a fixed shape have been considered. In this study, we extended the theory to proteins on membrane tubes which radius is not fixed and in the binding/unbinding equilibrium. We found that the protein binding affects the membrane axial force differently for wide and narrow tubes. For wide tubes, the force is reduced by the binding. In contrast, it is only slightly modified for narrow tubes, on which the proteins are tilted from the azimuthal direction. With increasing binding chemical potential, a first-order transition between two tube radii with different protein densities occurs only once at the wide tubes, whereas the proteins with an isotropic bending energy exhibit the transition twice. For the short proteins, this theory reproduces the protein orientation and axial force obtained by the meshless simulations very well. In contrast, the long proteins have large membrane-mediated attractive interactions so that resultant protein clusters modify the mean orientation and axial force. However, the theory still holds qualitative dependency.
Moreover, we found that the tube curvatures for the maximum protein binding (sensing) and orientational order are different from the protein spontaneous curvature . The sensing curvature is higher than at low protein density and coincides to the curvature of the free energy minimum. This is contrast to isotropic proteins Noguchi (2021b) which sensing curvature is constant. The order curvature is lower than and decreases with increasing protein density and bending rigidity. These dependencies are caused by the variation in the protein orientation. Previously, the proteins are often assumed to orient to the azimuthal direction. Even at the tube curvature close to , the orientational fluctuations modify the average protein behavior. Thus, it is important to take the orientational degree of freedom into account.
Since the theory for the isotropic bending energy has been well established, it has been employed even in the analysis for the experiments of the BAR proteins Prévost et al. (2015); Wu et al. (2018); Tsai et al. (2021). In this study, however, we have clarified that the anisotropy of the bending energy largely changes the membrane–protein interactions such as the sensing curvature. Therefore, the effects of the protein orientation should be included for more quantitative analysis.
We also showed that the protein side curvature (spontaneous curvature along the protein minor axis) modifies the protein binding. The proteins are oriented less or more strongly in the azimuthal direction for a positive or negative side curvature, respectively. It has been reported that the side curvature of the opposite sign to can induce the formation of an egg-carton shape Dommersnes and Fournier (1999, 2002) and network structures Noguchi (2016a). However, in many previous studies, the side curvature has not been considered. When the proteins or objects strongly bind the membrane as in coarse-grained molecular simulations Simunovic et al. (2013); Olinger et al. (2016), the proteins effectively have a large negative side curvature. Such a large side curvature can change the orientation direction perpendicularly leading to the tip-to-tip protein assembly as discussed in Ref. 40.
In the present theory, we consider only an excluded-volume interaction between proteins. Bound proteins can attract each other via direct and/or membrane-mediated interactions. In particular, BAR proteins typically form helical alignments in dense-packed conditions. Such a chiral interaction can largely modify the protein assembly and membrane shape Noguchi (2019a); Behera et al. (2021). To reproduce them, additional interactions are required to account for. However, for a sufficiently low protein density, such additional interactions are negligibly weak. Hence, the present theory can be used to estimate the bending rigidity and curvature of bound proteins in experiments and atomistic simulations. These mechanical parameters are keys to quantitatively understand the curvature sensing and generation of proteins.
Acknowledgements.
This work was supported by JSPS KAKENHI Grant Number JP21K03481, the European Research Council (CoG-681434), the European Commission (Project No. H2020-FETPROACT-01-2016-731957), the Spanish Ministry for Science and Innovation/FEDER (PID2019-110949GBI00, BES-2016-078220 to C. T.), and the Generalitat de Catalunya (ICREA Academia award). This research was also supported in part by the National Science Foundation under Grant No. NSF PHY-1748958, through KITP program: The Physics of Elastic Films: from Biological Membranes to Extreme Mechanics (FILMS21). The simulations were partially carried out using the facilities of the Supercomputer Center, Institute for Solid State Physics, University of Tokyo.Appendix A Calculation method for the present theory
The quantities and are single-valued functions of , so that they can be calculated by root-finding algorithms such as the bisection method. Alternatively, for , where for any value of , can be calculated by solving the quadratic equation of for given and as
(16) |
where
At , can be a multivalued function of . For , large values of can be calculated by the iteration of Eq. (1) by updating . However, the smaller values of should be calculated by the former method (). In this study, and are calculated by the central difference method.
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