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Dynamics of passive and active membrane tubes
- Source :
- Soft Matter, Soft Matter, Royal Society of Chemistry, 2020, 16, pp.9319-9330. ⟨10.1039/d0sm01290d⟩
- Publication Year :
- 2020
-
Abstract
- Utilising Onsager's variational formulation, we derive dynamical equations for the relaxation of a fluid membrane tube in the limit of small deformation, allowing for a contrast of solvent viscosity across the membrane and variations in surface tension due to membrane incompressibility. We compute the relaxation rates, recovering known results in the case of purely axis-symmetric perturbations and making new predictions for higher order (azimuthal) $m$-modes. We analyse the long and short wavelength limits of these modes by making use of various asymptotic arguments. We incorporate stochastic terms to our dynamical equations suitable to describe both passive thermal forces and non-equilibrium active forces. We derive expressions for the fluctuation amplitudes, an effective temperature associated with active fluctuations, and the power spectral density for both the thermal and active fluctuations. We discuss an experimental assay that might enable measurement of these fluctuations to infer the properties of the active noise. Finally we discuss our results in the context of active membranes more generally and give an overview of some open questions in the field.<br />14 pages, 9 figures
- Subjects :
- Field (physics)
FOS: Physical sciences
Context (language use)
Condensed Matter - Soft Condensed Matter
01 natural sciences
Noise (electronics)
Surface tension
03 medical and health sciences
Viscosity
0103 physical sciences
Physics - Biological Physics
010306 general physics
030304 developmental biology
Physics
0303 health sciences
Membranes
Spectral density
General Chemistry
Mechanics
Condensed Matter Physics
Biological Physics (physics.bio-ph)
[PHYS.COND.CM-GEN]Physics [physics]/Condensed Matter [cond-mat]/Other [cond-mat.other]
Relaxation (physics)
Soft Condensed Matter (cond-mat.soft)
Equations for a falling body
Subjects
Details
- Language :
- English
- ISSN :
- 1744683X and 17446848
- Database :
- OpenAIRE
- Journal :
- Soft Matter, Soft Matter, Royal Society of Chemistry, 2020, 16, pp.9319-9330. ⟨10.1039/d0sm01290d⟩
- Accession number :
- edsair.doi.dedup.....679c7430619eff0b5e82ae1930942b59
- Full Text :
- https://doi.org/10.1039/d0sm01290d⟩