Skip to main content

On the Finite-Time Scope for Computing Lagrangian Coherent Structures from Lyapunov Exponents

  • Chapter
  • First Online:
Topological Methods in Data Analysis and Visualization II

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

Lagrangian coherent structures (LCS) can be extracted from time-dependent vector fields by means of ridges in the finite-time Lyapunov exponent (FTLE). While the LCS approach has proven successful in many areas and applications for the analysis of time-dependent topology, it is to some extent still an open problem how the finite time scope is appropriately chosen. One has to be aware, however, that the introduction of this finite time scope in the Lyapunov exponent, where the time scope was originally infinite, is largely responsible for the recent success of the FTLE in analysis of real-world data. Hence, there is no general upper bound for the time scope: it depends on the application and the goal of the analysis. There is, however, a clear need for a lower bound of the time scope because the FTLE converges to the eigenvalue of the rate of strain tensor as the time scope approaches zero. Although this does not represent a problem per se, it is the loss of important properties that causes ridges in such FTLE fields to lose the LCS property. LCS are time-dependent separatrices: they separate regions of different behavior over time. Thereby they behave like material constructs, advecting with the vector field and exhibiting negligible cross flow. We present a method for investigating and determining a lower bound for the FTLE time scope at isolated points of its ridges. Our approach applies the advection property to the points where attracting and repelling LCS intersect. These points are of particular interest because they are important in typical questions of Lagrangian topology. We demonstrate our approach with examples from dynamical systems theory and computational fluid dynamics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Asimov, D.: Notes on the topology of vector fields and flows. Technical Report RNR-93-003, NASA Ames Research Center (1993)

    Google Scholar 

  2. Benettin, G., Galgani, L., Giorgilli, A., Strelcyn, J.M.: Lyapunov characteristic exponent for smooth dynamical systems and Hamiltonian systems; a method for computing all of them. Mechanica 15, 9–20 (1980)

    Article  MATH  Google Scholar 

  3. Eberly, D.: Ridges in Image and Data Analysis. Computational Imaging and Vision. Kluwer Academic Publishers, Dordrecht (1996)

    MATH  Google Scholar 

  4. Garth, C., Gerhardt, F., Tricoche, X., Hagen, H.: Efficient computation and visualization of coherent structures in fluid flow applications. IEEE Trans. Visual. Comput. Graph. 13(6), 1464–1471 (2007)

    Article  Google Scholar 

  5. Haller, G.: Finding finite-time invariant manifolds in two-dimensional velocity fields. Chaos, 10(1), 99–108 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  6. Haller, G.: Distinguished material surfaces and coherent structures in three-dimensional fluid flows. Physica D 149, 248–277 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  7. Helman, J., Hesselink, L.: Representation and display of vector field topology in fluid flow data sets. Computer 22(8), 27–36 (1989)

    Article  Google Scholar 

  8. Kasten, J., Petz, C., Hotz, I., Noack, B., Hege, H.-C.: Localized finite-time Lyapunov exponent for unsteady flow analysis. In: Vision, Modeling, and Visualization, pp. 265–274 (2009)

    Google Scholar 

  9. Mathur, M., Haller, G., Peacock, T., Ruppert Felsot, J.E., Swinney, H.L.: Uncovering the Lagrangian skeleton of turbulence. Phys. Rev. Lett. 98(14) (2007), 144502

    Google Scholar 

  10. Sadlo, F., Peikert, R.: Efficient visualization of Lagrangian coherent structures by filtered AMR ridge extraction. IEEE Trans. Visual. Comput. Graph. 13(5), 1456–1463 (2007)

    Article  Google Scholar 

  11. Sadlo, F., Weiskopf, D.: Time-dependent 2-D vector field topology: an approach inspired by Lagrangian coherent structures. Comput. Graph. Forum 29(1), 88–100 (2010)

    Article  Google Scholar 

  12. Shadden, S.C., Lekien, F., Marsden, J.E.: Definition and properties of Lagrangian coherent structures from finite-time Lyapunov exponents in two-dimensional aperiodic flows. Phys. D: Nonlinear Phenom. 212(3–4), 271–304 (2005)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work has been supported by DFG within the Cluster of Excellence in Simulation Technology (EXC 310/1) and the Collaborative Research Centre SFB-TRR 75 at University Stuttgart.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Filip Sadlo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Sadlo, F., Üffinger, M., Ertl, T., Weiskopf, D. (2012). On the Finite-Time Scope for Computing Lagrangian Coherent Structures from Lyapunov Exponents. In: Peikert, R., Hauser, H., Carr, H., Fuchs, R. (eds) Topological Methods in Data Analysis and Visualization II. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23175-9_18

Download citation

Publish with us

Policies and ethics