Active flows and networks

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.

Bibliographic Details
Main Author: Forrow, Aden
Other Authors: Jörn Dunkel.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/117877
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author Forrow, Aden
author2 Jörn Dunkel.
author_facet Jörn Dunkel.
Forrow, Aden
author_sort Forrow, Aden
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description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.
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spelling mit-1721.1/1178772019-04-12T07:31:10Z Active flows and networks Forrow, Aden Jörn Dunkel. Massachusetts Institute of Technology. Department of Mathematics. Massachusetts Institute of Technology. Department of Mathematics. Mathematics. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 117-128). Coherent, large scale dynamics in many nonequilibrium physical, biological, or information transport networks are driven by small-scale local energy input. In the first part of this thesis, we introduce and explore two analytically tractable nonlinear models for such active flow networks, drawing motivation from recent microfluidic experiments on bacterial and other microbial suspensions. In contrast to equipartition with thermal driving, we find that active friction selects discrete states with only a limited number of modes excited at distinct fixed amplitudes. When the active transport network is incompressible, these modes are cycles with constant flow; when it is compressible, they are oscillatory. As is common in such network dynamical systems, the spectrum of the underlying graph Laplacian plays a key role in controlling the flow. Spectral graph theory has traditionally prioritized analyzing Laplacians of unweighted networks with specified adjacency properties. For the second part of the thesis, we introduce a complementary framework, providing a mathematically rigorous positively weighted graph construction that exactly realizes any desired spectrum. We illustrate the broad applicability of this approach by showing how designer spectra can be used to control the dynamics of three archetypal physical systems. Specifically, we demonstrate that a strategically placed gap induces weak chimera states in Kuramoto-type oscillator networks, tunes or suppresses pattern formation in a generic Swift-Hohenberg model, and leads to persistent localization in a discrete Gross-Pitaevskii quantum network. by Aden Forrow. Ph. D. 2018-09-17T15:48:11Z 2018-09-17T15:48:11Z 2018 2018 Thesis http://hdl.handle.net/1721.1/117877 1051190431 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 128 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mathematics.
Forrow, Aden
Active flows and networks
title Active flows and networks
title_full Active flows and networks
title_fullStr Active flows and networks
title_full_unstemmed Active flows and networks
title_short Active flows and networks
title_sort active flows and networks
topic Mathematics.
url http://hdl.handle.net/1721.1/117877
work_keys_str_mv AT forrowaden activeflowsandnetworks