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Statistical Mechanics and Soft Condensed Matter Fluctuating membranes

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Presentation on theme: "Statistical Mechanics and Soft Condensed Matter Fluctuating membranes"— Presentation transcript:

1 Statistical Mechanics and Soft Condensed Matter Fluctuating membranes
by Pietro Cicuta

2 Slide 1: The thermally driven roughness of membranes can be analysed statistically. Reprinted with permission from Dr Markus Deserno, Carnegie Mellon University

3 Position vector: s = (x, y, h (x, y))
Tangent vectors along x and y: where Plane tangent to the surface at (x, y, h (x, y)): Slide 2: Monge representation of a deformed membrane. Brownian motion 3

4 Slide 3: Monge representation continued.
Surface metric g: Element of area dA: for small h: = g dx dy Slide 3: Monge representation continued. Brownian motion 4

5 2D surface embedded in 3D space.
Principal radii of curvature R1 and R2. Mean curvature Extrinsic curvature K=2H Gaussian curvature H and K are positive if the surfactant tails point towards the centre of curvature and negative if they point away from the centre. H > 0 H < 0 Slide 4: Curvature. Self Assembly 5 5

6 where s is the arc length
Curvature where s is the arc length In one dimension: Non-trivial extension to two dimensions: Slide 5: Curvature of membranes. Brownian motion 6

7 Work δE required to deform the membrane against tension and bending:
K = 2H Work δE required to deform the membrane against tension and bending: Slide 6: Curvature and energy. Brownian motion 7

8 Substituting into the expression for the fluctuation energy, we get:
The function h (x, y) can be decomposed into discrete Fourier modes or written in terms of its Fourier transform: Substituting into the expression for the fluctuation energy, we get: Slide 7: Fourier transform. Brownian motion 8

9 From equipartition of energy:
Integrating over dx and dy generates a delta function, hence a simplified equation: From equipartition of energy: Spectrum for the mean square amplitude of fluctuations: Note the strong dependence on q, particularly in connection with the bending modulus. Slide 8: Fluctuation spectrum. Brownian motion 9

10 qmin = 2π/L qmax = 2π/d d ~ bilayer thickness
Mean amplitude: qmin = 2π/L qmax = 2π/d d ~ bilayer thickness Typically, bending stiffness is hence Slide 9: Mean amplitude of fluctuations. Brownian motion 10


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