EconPapers    
Economics at your fingertips  
 

Ray-Tracing the Ulam Way

D. J. Chappell, M. Richter, G. Tanner, O. F. Bandtlow, W. Just and J. Slipantschuk
Additional contact information
D. J. Chappell: Nottingham Trent University
M. Richter: University of Nottingham
G. Tanner: University of Nottingham
O. F. Bandtlow: Queen Mary University of London
W. Just: Queen Mary University of London
J. Slipantschuk: University of Warwick

Chapter Chapter 8 in Integral Methods in Science and Engineering, 2023, pp 95-101 from Springer

Abstract: Abstract Ray-tracing is a well established approach for modelling wave propagation at high frequencies, in which the ray trajectories are defined by a Hamiltonian system of ODEs. An approximation of the wave amplitude is then derived from estimating the density of rays in the neighbourhood of a given evaluation point. An alternative approach is to formulate the ray-tracing model directly in terms of the ray density in phase-space using the Liouville equation. The solutions may then be expressed in integral form using the Frobenius-Perron (F-P) operator, which is a transfer operator transporting the ray density along the trajectories. The classical approach for discretising such operators dates back to 1960 and the work of Stanislaw Ulam. The convergence of the Ulam method has been established in some cases, typically in low dimensional settings with continuous densities and hyperbolic dynamics. In this chapter, we outline some recent work investigating the convergence of the Ulam method for ray tracing in triangular billiards, where the dynamics are parabolic and the flow map contains jump discontinuities.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-34099-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9783031340994

DOI: 10.1007/978-3-031-34099-4_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-031-34099-4_8