Lines of Renormalization Group Fixed Points for Fluid and Crystalline Membranes.

Similar documents
Exact Functional Renormalization Group for Wetting Transitions in Dimensions.

From bunches of membranes to bundles of strings

Vertical Melting of a Stack of Membranes

Free Energy and Thermal Fluctuations of Neutral Lipid Bilayers

Triangular Lattice Foldings-a Transfer Matrix Study.

PHYSICAL REVIEW LETTERS

most easily accessible to experiments and to computer simulations PACS numbers: e, Fh, h

Interfacial forces and friction on the nanometer scale: A tutorial

Randomly Triangulated Surfaces as Models for Fluid and Crystalline Membranes. G. Gompper Institut für Festkörperforschung, Forschungszentrum Jülich

Adhesion of membranes with competing specific and generic interactions

The Phase Diagram of Crystalline Surfaces

Gravity-Induced Shape Transformations of Vesicles.

Long-range Casimir interactions between impurities in nematic liquid crystals and the collapse of polymer chains in such solvents

SEARCH & DISCOVERY FLUID MEMBRANES REPEL ONE ANOTHER; SOLID MEMBRANES MAY NOT CRUMPLE

5 Topological defects and textures in ordered media

INTERMOLECULAR AND SURFACE FORCES

Wetting of Rough Walls1

Contact Angle Hysteresis on a Heterogeneous Surface: Solution in the Limit of a Weakly Distorted Contact Line.

+ S/y. The wetted portion of the surface is then delimited by a certain contact line L (here a

Improving polymeric microemulsions with block copolymer polydispersity

Local contacts of membranes and strings. Christin Hiergeist, Reinhard Lipowsky*

Vesicle micro-hydrodynamics

arxiv:cond-mat/ v1 4 Aug 2003

Stick and Slip Behaviour of Confined Oligomer Melts under Shear. A Molecular-Dynamics Study.

Lennard-Jones as a model for argon and test of extended renormalization group calculations

BRIEF COMMUNICATION MAGNETIC ANISOTROPY OF EGG LECITHIN MEMBRANES

Phase transitions and critical phenomena

Effect of protein shape on multibody interactions between membrane inclusions

6 Hydrophobic interactions

PHASE TRANSITIONS IN SOFT MATTER SYSTEMS

Kolloquium Universität Innsbruck October 13, The renormalization group: from the foundations to modern applications

Evaporation/Condensation of Ising Droplets

Mohamed Daoud Claudine E.Williams Editors. Soft Matter Physics. With 177 Figures, 16 of them in colour

Bose Einstein condensation of magnons and spin wave interactions in quantum antiferromagnets

221A Lecture Notes Convergence of Perturbation Theory

NPTEL

Outline for Fundamentals of Statistical Physics Leo P. Kadanoff

The fixed point structure of the 3d O(N) model and its non-trivial UV fixed point

Conductance fluctuations at the integer quantum Hall plateau transition

Dynamics of unbinding of polymers in a random medium

Interface Roughening in a Hydrodynamic Lattice- Gas Model with Surfactant

Controlling chaos in random Boolean networks

From time series to superstatistics

Chapter 6. Phase transitions. 6.1 Concept of phase

arxiv: v1 [cond-mat.stat-mech] 6 Mar 2008

Simulations of a single membrane between two walls using a Monte Carlo method

arxiv:cond-mat/ v2 [cond-mat.stat-mech] 8 Sep 1999

Introduction. Model DENSITY PROFILES OF SEMI-DILUTE POLYMER SOLUTIONS NEAR A HARD WALL: MONTE CARLO SIMULATION

Proteins polymer molecules, folded in complex structures. Konstantin Popov Department of Biochemistry and Biophysics

Supporting Information

Statistical physics. Emmanuel Trizac LPTMS / University Paris-Sud

Universal scaling behavior of directed percolation and the pair contact process in an external field

Fluctuations of a membrane interacting with a diffusion field

arxiv:cond-mat/ v1 [cond-mat.soft] 9 Aug 1997

Inverse square potential, scale anomaly, and complex extension

Elastic properties of surfactant monolayers at liquid-liquid interfaces: A molecular dynamics study

Microscopic Deterministic Dynamics and Persistence Exponent arxiv:cond-mat/ v1 [cond-mat.stat-mech] 22 Sep 1999

Fractal dimensionality of polymer chains

Surface Induced Disordering at First-Order Bulk Transitions

Wetting Transitions at Fluid Interfaces and Related Topics

Circumventing the pathological behavior of path-integral Monte Carlo for systems with Coulomb potentials

Citation PHYSICAL REVIEW E (2002), 65(6) RightCopyright 2002 American Physical So

Polymer Solution Thermodynamics:

Rb-Xe spin relaxation in dilute Xe mixtures

Collective Effects. Equilibrium and Nonequilibrium Physics

2 Structure. 2.1 Coulomb interactions

A phenomenological model for shear-thickening in wormlike micelle solutions

Localization and electron-phonon interactions in disordered systems

Statistical mechanics of membranes: freezing, undulations, and topology fluctuations

DLVO Theory and Non-DLVO Forces

Renormalization: An Attack on Critical Exponents

Poiseuille Advection of Chemical Reaction Fronts

arxiv:cond-mat/ v4 [cond-mat.stat-mech] 19 Jun 2007

Erythrocyte Flickering

Physics 212: Statistical mechanics II Lecture XI

Physics 127b: Statistical Mechanics. Renormalization Group: 1d Ising Model. Perturbation expansion

arxiv: v2 [cond-mat.stat-mech] 24 Aug 2014

Triangular Ising model with nearestand

Single-scaling-field approach for an isolated polymer chain

Transport of single molecules along the periodic parallel lattices with coupling

Structuring of hydrophobic and hydrophilic polymers at interfaces Stephen Donaldson ChE 210D Final Project Abstract

Polymer dynamics in repton model at large fields

Electrostatics of membrane adhesion

Physics 562: Statistical Mechanics Spring 2003, James P. Sethna Homework 5, due Wednesday, April 2 Latest revision: April 4, 2003, 8:53 am

Physics 562: Statistical Mechanics Spring 2002, James P. Sethna Prelim, due Wednesday, March 13 Latest revision: March 22, 2002, 10:9

Nucleation in a Fermi liquid at negative pressure

Renormalization-group study of the replica action for the random field Ising model

Swelling and Collapse of Single Polymer Molecules and Gels.

Anomalous diffusion in presence of boundary conditions. (1) Dipartimento di Scienze Ambientali, Universitá di Venezia, Calle Larga S.

Applied Surfactants: Principles and Applications

Analysis of the susceptibility in a fluid system with Neumann plus boundary conditions

Complete Wetting in the Three-Dimensional Transverse Ising Model

Gas-liquid phase separation in oppositely charged colloids: stability and interfacial tension

arxiv:chao-dyn/ v1 5 Mar 1996

Adsorption and depletion of polyelectrolytes from charged surfaces

cond-mat/ Mar 1995

Clusters and Percolation

A Monte Carlo Study of the Order-Disorder Layering Transitions in the Blume-Capel Model

Dynamics of Solitary Waves Induced by Shock Impulses in a Linear Atomic Chain*

Transcription:

EUROPHYSICS LETTERS 1 October 1988 Europhys. Lett., 7 (3), pp. 255-261 (1988) Lines of Renormalization Group Fixed Points for Fluid and Crystalline Membranes. R. LIPOWSKY Institut für Festkörperforschung der KFA Jülich Postfach 1913, D-5170 Jülich, F.R.G. (received 29 March 1988; accepted in final form 18 July 1988) PACS. 64.60 - General studies of phase transitions. PACS. 87.20 - Membrane biophysics. Abstract. - Unbinding transitions of amphiphilic membranes are studied by a renormalization group (RG) approach. Both for fluid and for crystalline membranes, a whole line of RG fixed points is found. Each line consists of two branches: one branch describes complete unbinding, the other branch represents continuous unbinding transitions. The critical behaviour at the unbinding transition exhibits three scaling regimes A), B), and C). Regime A) is characterized by essential singularities, and regime B) by parameter-dependent critical exponents. In regime C), a discontinuous transition rather unusual scaling properties is expected by analogy wetting transitions. Amphiphilic membranes play an essential role for the organization of biological systems and for the polymorphism of microemulsions [1]. These membranes exhibit two different types of interactions: i) direct interactions,, between planar membrane segments arising from the intermolecular forces such as [2] van der Waals or electrostatic forces; and ii) fluctuation-induced interactions,, as a result of thermally excited bending modes [3, 4]. From a theoretical point of view, the interplay between and represents a challenging problem, since it involves many length scales. Indeed, the smallest wavelength of the membrane fluctuations is set by the size,, of the amphiphilic molecules, while their largest wavelength is of the order of the membrane dimension, which is typically. These fluctuations renormalize the direct interaction,, in a nontrivial way. The renormalized interaction may be attractive or repulsive at large membrane separation corresponding to a bound or an unbound state of the membranes. These two different states are separated by a phase boundary at which the membranes undergo an unbinding transition [4]. Such a transition which resembles a wetting transition [5] can also occur for a membrane interacting a solid wall. The bending modes of a single membrane can be described by a variable,, which measures the local distance of the membrane from a reference plane. The associated bending energy depends on the internal structure of the membrane. For a fluid membrane, the bending energy per unit area is given by, where is the bending rigidity and is

256 EUROPHYSICS LETTERS the leading term of the mean curvature [6]. This form is valid for wave numbers, where [7] is the persistence length of the membrane and is the temperature. For wave numbers, the membrane looses its orientation and starts to crumble [7]. For the fluid phase of lipid bilayers and of biological membranes [8, 9], erg which implies at room temperature. Thus, in these systems, is large compared to the length scales which are experimentally accessible. Lipid bilayers often exhibit crystalline phases in which the molecules form a lattice and cannot diffuse freely. Free diffusion is also suppressed in polymerized membranes at sufficiently high cross-linking [10]. Then, the variabile is coupled to the internal displacement fields [11, 12]. At low, this leads to an effective rigidity [12] for small. (1) A self-consistent calculation gives, while a systematic perturbation expansion yields In this paper, the unbinding of membranes will be studied. Two nontrivial scaling regimes for the direct interactions,, are identified both of which are accessible to experiments. The scaling properties in these regimes are analysed by a functional renormalization group (RG) approach which leads to a simple differential recursion relation [5]. In spite of its simplicity, this RG transformation is shown to predict a wide variety of critical behaviour, since it leads to whole lines of RG fixed points both for fluid and for crystalline membranes. To proceed, consider two membrane segments effective bending rigidities, and K 2 /q, which are on average parallel. The effective Hamiltonian for their local separation,, or its Fourier transform,, is taken to be (2) ( 1 ) and. The first term in (2) represents the - dependent part of the bending energies. For fluid membranes,, while for crystalline (or polymerized) membranes. In the following, I will consider the general case The second term in (2) represents the free-energy increase resulting from an external pressure,, and from the direct interaction,, of the membranes. The direct interaction includes hydration, van der Waals, and electrostatic forces [4, 1]. It has two generic properties: i) it has a hard wall at, i.e. for ; and ii) it decays to zero for large, i.e. Now, assume that the membranes are in a bound state. Then, their fluctuations are bounded as well, and have an amplitude. Furthermore, their longitudinal extension will be set by another scale,. Following the scaling arguments developed in ref. [5, 4], the first term in (2) leads to (3) ( 1 ) The bending energy per unit area for both membranes is. Then, the linear transformation and leads to

R. LIPOWSKY: LINES OF RENORMALIZATION GROUP FIXED POINTS ETC. 257 This implies that the bending free energy per unit area scales as. (4) The scaling form (4) can be used in order to classify the direct interactions,. Four different scaling regimes must be distinguished [4, 5, 15]. Here I will study those two regimes at [16] for which the critical behaviour cannot be obtained by the superposition ansatz, : i) the intermediate-fluctuation (IFL) regime ; and ii) the strong-fluctuation (SFL) regime for large. For fluid membranes, the SFL regime contains i) the usual van der Waals attraction between two membranes which decays as, and ii) the van der Waals attraction between a membrane and a solid wall which decays as. Two examples for the IFL regime are: i) membranes interacting across a binary solution at its consolute point; then, the critical concentration fluctuations lead to, compare ref. [17]; ii) membranes adsorbed polymers; for two walls adsorbed polymers, has been theoretically predicted [18]. For crystalline membranes, the precise value of and, therefore, the precise boundary of the SFL regime is presently unknown. For, the usual van der Waals attraction between membranes would belong to the IFL regime; for, this interaction would still belong to the SFL regime but then, the van der Waals attraction between a membrane and a solid wall would lie in the IFL regime. The functional renormalization group (RG) developed in ref. [5, 4] can also be applied to the effective Hamiltonian as given by (2). In the infinitesimal rescaling limit rescaling factor, one obtains (5) where the prime indicates a derivative respect to, and the scale factors are given by and ( is the short-distance cut-off). The above differential recursion also applies to wetting transitions in dimensions, provided is replaced by and the scale factors and are chosen in an appropriate way [5]. It is convenient to use the dimensionless variables Then, the flow equation becomes and. (6) (7) The fixed points,, of finite RG transformation satisfy Therefore, the rescaled fixed points depend only on one parameter, namely. This implies that the unbinding of fluid membranes in is characterized by the same RG fixed points as wetting in, since in both cases. The differential equation (8) must be supplemented by appropriate boundary conditions. These are i) the presence of a hard wall at for, and ii) for large. Local analysis of (8) shows that is not possible: any singularity at (8)

258 EUROPHYSICS LETTERS has the form hand, a wall may be present at and, thus, does not represent a wall. On the other for small and. The leading term in (9) comes from the linear terms in (8), and thus involves the arbitrary coefficient. However, must be positive which implies. The tails of can be determined by linearizing (8). One finds two independent solutions, and, (9) and (10) (11) for large two independent coefficients, and. This indicates that all solutions to (8) decay to zero for large irrespective of the value for in (9). This is indeed confirmed by numerical integration of (8): each value of yields a unique solution,, its tail characterized by. The function is displayed in fig. 1 for. Fig. 1. - The function for. The parameter determines the wall of the fixed points, see eq. (9); the parameter determines their tails, see eq. (10). Thus, for each, the fixed-point equation (8) together the boundary condition (9) leads to a whole line of RG fixed points,, parameterized by. This line consists of several parts as indicated in fig. 1. For, the fixed points are purely repulsive and decay as for large. For, is still repulsive but decays as for large since, see fig. 2a). For, the fixed points have an attractive part, since a power law tail. For, the tail of the attractive part is short-ranged and behaves as, see fig. 2a). For, the fixed points are repulsive for large, but attractive for small, see fig. 2b). In order to understand the physical meaning of these fixed points, one must analyse the nature of their eigenperturbations,. These perturbations are governed by (12)

R. LIPOWSKY: LINES OF RENORMALIZATION GROUP FIXED POINTS ETC. 259 Fig. 2. - a) The fixed points have a minimum, the fixed points are purely repulsive. The full and dashed curves are for and, respectively, b) Fixed points and for (full curve) and (dashed curve). which follows from (8) by linearization. This linear problem can be analysed in detail [19]. For each, the RG flow is found to change its character at : i) for, there is no relevant perturbation ; ii) for, there is exactly one such perturbation Inspection of (12) shows that depends only on and, via, on. The function as determined from (12) behaves as for small, increases monotonically, and has the limiting behaviour for large. The case includes wetting in for which can be determined exactly. Using the results of ref. [15], one finds for for (13) From the above analysis, one can identify three subregimes A), B), and C) in the IFL regime. The SFL regime is then viewed as a special case in subregime B). As mentioned, these regimes contain all direct interactions,, which decay at least as for large. Subregime A). - For, one has no fixed point and the minimum of becomes deeper and deeper under the RG which implies a bound state of the membranes. As from below, the membranes can undergo a continuous unbinding transition characterized by a vanishing scaling index. This scaling index determines the critical exponent,, for the divergence of the correlation length [5, 4]:. Thus, at, corresponding to an essential singularity of [19]. Subregime B). - For, the RG is governed by two fixed points: i) one of these fixed points has and no relevant perturbation. It describes the completely unbounded state of the membranes; ii) the second fixed point has and one relevant perturbation scaling index. It represents a continuous unbinding transition which depends on, and. The case corresponds to the SFL regime: it contains all direct interactions,, which decay faster than for large. The RG flow in this regime is again governed by two fixed points as has been found previously from functional renormalization rescaling factor [5, 4]. For, the numerical values and were

260 EUROPHYSICS LETTERS found for wetting in [5] and for fluid membranes in [4]. These values for compare very well presumably exact value which follows from (13) for Thus, the SFL regime for fluid membranes is characterized by When the RG is applied to membranes and, one obtains and, respectively. It follows that the SFL regime for crystalline membranes is characterized by a universal value for It is important to notice that only two fixed points are found for the SFL regime. This implies the absence of tricritical behaviour and, therefore, the absence of discontinuous unbinding transitions in the SFL regime: the fluctuations are so strong that they overcome any potential barrier of the direct interaction. For, the RG flow is still governed by two fixed points. Within the RG approach used here, all unbinding transitions are predicted to have the same character as the continuous transition for. However, it follows by analogy wetting in [15] that this holds only up to a boundary value, Subregime C). - For, the unbinding transitions are expected to acquire very unusual properties. Indeed, for wetting in, the transition is discontinuous in that the interfacial energy exhibits a jump, but the correlation length and the moments, for sufficiently large, diverge in a continuous fashion (where independent of ) [15, 20]. This reflects the strongly non-gaussian character of the surface fluctuations: at the unbinding transition, the distribution,, which gives the probability to find a certain value for, has a power law tail for large as follows from the results of ref. [15]. Thus, the distribution is scale-invariant. Similar behaviour should also occur for fluid and crystalline membranes in For fluid membranes, I expect that the tail of exhibits the same power law as for wetting in [21]. In summary, the interplay between fluctuations and interactions of membranes leads to unbinding transitions which can exhibit a wide variety of critical behaviour. These critical phenomena should be accessible to experiments on the cohesion of vesicles and on the swelling of lamellar phases. Particularly interesting behaviour should be observable for the unbinding of fluid membranes which are separated by a (near) critical solution close to its consolute point. Finally, one might speculate about the biological relevance of these phenomena. Indeed, near an unbinding transition, a small change in the physical parameters leads to a large change in the state of the membranes. Therefore, these transitions represent a possible mechanism by which biological cells could alter their separation in a very efficient way. * * * I thank M. E. FISHER, W. HELFRICH, S. LEIBLER and E. SACKMAN for stimulating discussions. REFERENCES [1] See, e.g., Physics of Amphiphilic Layers, edited by J. MEUNIER, D. LANGEVIN and N. BOCCARA, Springer Proceedings in Physics, Vol. 21 (Springer-Verlag, Berlin) 1987. [2] See, e.g., ISRAELACHVILI J. N., Intermolecular and Surface Forces (Academic Press, New York, N.Y.) 1985). [3] HELFRICH W., Z. Naturforsch. Teil A, 33 (1978) 305. [4] LIPOWSKY R. and LEIBLER S., Phys. Rev. Lett., 56 (1986) 2541; Erratum, 59 (1987) 1983; and p. 98 in ref. [1].

R. LIPOWSKY: LINES OF RENORMALIZATION GROUP FIXED POINTS ETC. 261 [5] LIPOWSKY R. and FISHER M. E., Phys. Rev. Lett., 57 (1986) 2411; Phys. Rev. B, 36 (1987) 2126. [6] HELFRICH W., Z. Naturforsch. Teil C, 28 (1973) 693. [7] DE GENNES P.-G. and TAUPIN C., J. Phys. Chem., 88 (1982) 2294. [8] For the rigidity of lecithin membranes, see BEBLIK S., SERVUSS R. M. and HELFRICH W., J. Phys. (Paris), 46 (1985) 1773. [9] For the rigidity of the plasma membrane of red blood cells, see ZILKER A., ENGELHARDT H. and SACKMANN E., J. Phys. (Paris), 48 (1987) 2139. [10] SACKMANN E., EGGL P., FAHN C., BADER H., RINGSDORF H. and SCHOLLMAIER M., Ber. Bunsenges. Phys. Chem., 89 (1985) 1198. [11] LANDAU L. D. and LIFSCHITZ E. M., Elastizitätstheorie (Akademie-Verlag, Berlin) 1975. [12] NELSON D. R. and PELITI L., J. Phys. (Paris), 48 (1987) 1085. [13] DAVID F. and GUITTER E., Europhys. Lett., 5 (1988) 709. [14] The case also applies to hexotic membranes which have been studied in ref. [12] and by DAVID F., GUITTER E. and PELITI L., J. Phys. (Paris), 48 (1987) 2059. [15] LIPOWSKY R. and NIEUWENHUIZEN T. M., J. Phys. A, 21 (1988) L-89. [16] For complete unbinding and, the mean separation,, of the membranes grows as see ref. [4] and LEIBLER S. and LIPOWSKY R., Phys. Rev. Lett., 58 (1987) 1796; Phys. Rev. B, 35 (1987) 7004. [17] FISHER M. E. and DE GENNES P.-G., C.R. Seances Acad. Sci., Ser. B, 287 (1978) 207. [18] DE GENNES P.-G., Macromolecules, 15 (1982) 492. [19] LIPOWSKY R., to be published. [20] Discontinuous transitions also occur in the necklace model for three or more random walkers, see HUSE D. A. and FISHER M. E., Phys. Rev. B, 29 (1984) 239. It has been recently shown by FISHER M. E. and GEL'FAND M. P. (to be published) that these transitions have properties which are very similar to those in subregime C). [21] HELFRICH W. (private communication) has also obtained a scale-invariant for fluid membranes interacting