Algorithm for spatio-temporal analysis of the signaling problem
ORAL
Abstract
The response of convectively unstable flows to a localized oscillatory forcing (i.e. the “signaling problem”) is studied. The full mathematical structure of this class of problems is elucidated by examining partial differential equations of second (the linear Ginzburg-Landau equation) and fourth order in space. The long-time asymptotic behaviors of the Fourier-Laplace integral solutions are obtained via contour integration and the method of steepest descent. In the process, a general algorithm is developed to extract the important physical characteristics of such problems. The algorithm allows one to determine the velocities that bound the transient and spatially growing portions of the response, as well as a closed-form transfer function that relates the oscillatory disturbance amplitude to that of the spatially growing solution. A new velocity is identified that provides the most meaningful demarcation of the two regions. The algorithm also provides a straightforward criterion for identifying “contributing” saddles that determine the long-time asymptotic behavior and “non-contributing” saddles that give errant solutions. Lastly, a discontinuity that arises in the long-time asymptotic solution, identified in prior studies, is resolved.
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Authors
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Nathaniel Barlow
Rochester Institute of Technology
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Brian Helenbrook
Clarkson University
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Steven Weinstein
Rochester Institute of Technology