Non-reciprocal Binary-fluid Turbulence
Biswajit Maji, Nadia Bihari Padhan, Rahul Pandit
TL;DR
This work introduces a minimal 2D hydrodynamic model, NRCHNS, in which non-reciprocal interactions are encoded through off-diagonal diffusion between two Cahn–Hilliard fields coupled to Navier–Stokes flow. By tuning the non-reciprocal strength $\\mathcal{D}_{12}$ or lowering the viscosity, the system exhibits a novel turbulence regime with an inverse energy cascade and an energy spectrum $E(k) \\\sim k^{-5/3}$, accompanied by a non-reciprocal flux $\\mathbf{J}$ that becomes suppressed at high Reynolds numbers. The authors validate these findings with extensive pseudospectral DNS, revealing spectral plateaus, inverse-cascade flux balance, characteristic flow topology via Okubo–Weiss statistics, and multifractality in both spatial and temporal fluctuations. This non-reciprocal turbulence is qualitatively distinct from conventional 2D turbulence and active turbulence, offering new insights into energy transfer mechanisms and potential experimental realizations in non-reciprocal active fluids.
Abstract
Although effective non-reciprocal interactions have been investigated in a variety of fields, their consequences have not been explored in hydrodynamical turbulence. We initiate such an exploration by introducing non-reciprocal binary-fluid tubulence and uncover its properties by developing a two-dimensional (2D) Non-Reciprocal Cahn-Hilliard-Navier-Stokes (NRCHNS) model. We show that, as we increase the strength of the non-reciprocal terms, this model displays a hitherto unanticipated type of turbulence, with an inverse cascade of energy and an energy spectrum $E(k)\sim k^{-5/3}$, reminiscent of the well-known inverse cascade in forced, 2D fluid turbulence, but distinct from it, in so far as it develops a non-reciprocal flux $\mathbf J$. We demonstrate how NRCHNS turbulence suppresses $J(t) = |\mathbf J|$, as the Reynolds number increases. We compare and contrast 2D NRCHNS turbulence with its fluid-turbulence counterpart by examining spectra, fluxes, spectral balances, flow topologies, and signatures of multifractality.
