Hamiltonian Active Matter in Incompressible Fluid Membranes
Sneha Krishnan, Rickmoy Samanta
TL;DR
This work develops a minimal hydrodynamic and Hamiltonian framework for membrane-embedded force-dipole motors on an incompressible supported membrane. By deriving the real-space Green's tensor for the membrane–subphase system, it identifies a near-field logarithmic 1/r regime and a far-field algebraically screened 1/r^3 regime for dipolar flows, and formulates corresponding stream functions. It shows that the far-field flow is irrotational, yielding an exact position-based Hamiltonian H_far for fixed orientations, while the near-field flow retains vorticity and requires a quenched-orientation limit to define H_near. Simulations reveal a striking kernel-dependent dichotomy: the far-field Hamiltonian promotes rapid aggregation into clusters, whereas the near-field Hamiltonian suppresses collapse and yields extended, non-aggregating configurations. These results establish how hydrodynamic screening dictates collective organization of membrane-bound active matter and provide a foundation for extensions to more complex membranes and experimental tests.
Abstract
Active proteins and membrane-bound motors exert force dipole flows along fluid interfaces and lipid bilayers. We develop a unified hydrodynamic and Hamiltonian framework for the interactions of pusher and puller dipoles embedded in an incompressible two-dimensional membrane supported by a shallow viscous subphase. Beginning from the screened Stokes equations of the membrane-subphase composite, we derive the real-space incompressible Green's tensor, obtain its near- and far-field asymptotics, and construct the resulting dipolar velocity and stream functions. Although generic dipoles reorient under the local membrane vorticity, we show that the far-field dipolar flow is vorticity-free; force-free motors therefore retain fixed orientation and obey a Hamiltonian dynamics in which the positions of $N$ dipoles evolve via an effective Hamiltonian built from the dipolar stream function. In the near field, where the flow possesses finite vorticity, a Hamiltonian formulation is recovered in the quenched-orientation limit. Exploiting this structure, we simulate ensembles of pusher and puller dipoles and compare the dynamics generated by the $1/r$ near-field kernel and the subphase screened $1/r^{3}$ far-field kernel. For identical dipoles, the far-field Hamiltonian produces rapid clustering from random initial conditions, whereas the near-field Hamiltonian suppresses collapse and yields extended, non-aggregating configurations.
