Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures @Eigensteve
Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures  @Eigensteve
Uploaded October 2024 | Updated September 2026, 2 weeks ago
This research abstract describes how to use mode sensitivity to extract interpretable patterns from data-driven modal decomposition techniques.

Video by Morgan Jones from USC

Mode sensitivity: Bridging modal analysis and Lagrangian coherent structure
Morgan R. Jones, Mitul Luhar, Charles Klewicki, Oliver Khan, and Steven L. Brunton
Paper: arxiv.org/abs/2410.20802

This video was produced at the University of Washington

%%% CHAPTERS %%%
00:00 Lagrangian Coherent Structures
04:11 Model Sensitivity
07:47 Connection to FTLE
09:17 Modal Decompositions
11:21 Mode Sensitivity
15:17 Summary and Outro
Mode Sensitivity for Fluid Flows via Lagrangian Coherent StructuresSystems of Differential Equations with Forcing: Example in Control TheoryCoding a Fourth-Order Runge-Kutta Integrator in Python and MatlabThe Hartman-Grobman Theorem, Structural Stability of Linearization, and Stable/Unstable ManifoldsHypothesis Testing in Statistics[2/8] Control for Societal-Scale Challenges: Road Map 2030 [Societal Drivers]Phase Portrait for Double Well PotentialResidual Networks (ResNet) [Physics Informed Machine Learning][8/8] Control for Societal-Scale Challenges: Road Map 2030 [Recommendations]Differential Equations with Forcing: Method of Variation of ParametersUsing sparse trajectory data to find Lagrangian Coherent Structures (LCS) in fluid flowsBayesian Linear Regression and Maximum a Posteriori (MAP) Estimate
Steve Brunton |

Mode Sensitivity for Fluid Flows via Lagrangian Coherent Structures

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