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Stochastic Models for Chladni Figures

Published online by Cambridge University Press:  10 August 2015

Jaime Arango
Affiliation:
Departamento de Matemáticas, Universidad del Valle, Calle 13, 100-00, Cali, Colombia ([email protected])
Carlos Reyes
Affiliation:
Posgrado de Matemáticas, Universidad del Valle, Calle 13, 100-00, Cali, Colombia

Abstract

Chladni figures are formed when particles scattered across a plate move due to an external harmonic force resonating with one of the natural frequencies of the plate. Chladni figures are precisely the nodal set of the vibrational mode corresponding to the frequency resonating with the external force. We propose a plausible model for the movement of the particles that explains the formation of Chladni figures in terms of the stochastic stability of the equilibrium solutions of stochastic differential equations.

Type
Research Article
Copyright
Copyright © Edinburgh Mathematical Society 2016 

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References

1. Agmon, S., On the eigenfunctions and on the eigenvalues of general elliptic boundary value problems, Commun. Pure Appl. Math. 15 (1962), 119147.Google Scholar
2. Bradski, G., The OpenCV Library, DrDobb’s, J. Software Tools (2000).Google Scholar
3. Chakraverty, S., Vibration of plates (CRC Press, 2009).Google Scholar
4. Chladni, E., Die akustik (Breitkopf and Härtel, Leipzig, 1802) (available at http://vlp.mpiwg-berlin.mpg.de/references?id=lit29494).Google Scholar
5. Faraday, M., On a peculiar class of acoustical figures; and on certain forms assumed by groups of particles upon vibrating elastic surfaces, Phil. Trans. R. Soc. Lond. 121 (1831), 299340.Google Scholar
6. Friedman, A., Stochastic differential equations and applications (Dover, New York, 1975).Google Scholar
7. Gander, M. and Kwok, F., Chladni figures and the Tacoma Bridge: motivating PDE eigenvalue problems via vibrating plates, SIAM Rev. 54(3) (2012), 573596.Google Scholar
8. Gazzola, F., Grunau, H. and Sweers, G., Polyharmonic boundary value problems, Lecture Notes in Mathematics, Volume 1991 (Springer, 2010).Google Scholar
9. Gilbarg, D. and Trudinger, N., Elliptic partial differential equation of second order (Springer, 1991).Google Scholar
10. Hecht, F., FreeFem++, Version 3.23 (6 July 2013; available at www.freefem.org/ff++).Google Scholar
11. Higham, D., An algorithmic introduction to numerical simulation of stochastic differential equations, SIAM Rev. 43(3) (2001), 525546.Google Scholar
12. Kanagawa, S., The rate of convergence for approximate solutions of stochastic differential equations, Tokyo J. Math. 12(1) (1989), 3348.Google Scholar
13. Ludwig, A., Stochastic differential equations (Wiley, 1974).Google Scholar
14. Oliphant, T., Python for scientific computing, Comput. Sci. Engng 9(3) (2007), 1020.CrossRefGoogle Scholar
15. Rachev, S. and Rüschendorff, L., Mass transportation problems, part II: applications, Probability and Its Applications (Springer, 1998).Google Scholar