We study a second-order local induction approximation (LIA) for the dynamics of a single open quantized vortex filament (such as those filaments arising in superfluid helium). While for a classical vortex filament, this second-order correction can be interpreted as a correction due to the inclusion of axial flow within a filament core, in the quantized filament case, this second order correction can be viewed as a correction due to variable condensate healing length. We compare the evolution of the decay rate, transverse velocity, and rotational velocity of Kelvin waves along vortex filaments under this model to that of the first order LIA of Schwarz for quantized vortex filaments, as well as to a corresponding nonlocal model involving Biot-Savart integrals for the self-induced motion of the vortex filament. For intermediate wavenumbers, the second-order model solutions show improved agreement with the nonlocal Biot-Savart model, due to an additional control parameter. We also consider the stability of Kelvin waves under the second-order corrections; these results allow us to understand the Donnelly-Glaberson instability in the context of the second-order model. The second-order corrections tend to stabilize the resulting solutions, in agreement with what was previously found from the nonlocal Biot-Savart formulation, yet still permit a local description of the vortex filament in terms of a partial differential equation (akin to the first-order LIA) rather than an integro-differential equation.
A nonlinear elasticity model for comparing images is formulated and analyzed, in which optimal transformations between images are sought as minimizers of an integral functional. The existence of minimizers in a suitable class of homeomorphisms between image domains is established under natural hypotheses. We investigate whether for linearly related images the minimization algorithm delivers the linear transformation as the unique minimizer.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.