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Numerical detection of complex singularities for functions of two or more variables. Presenter: Alexandr Virodov Additional Authors: Prof. Michael Siegel Kamyar Malakuti Nan Maung

Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

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Page 1: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Numerical detection of complex singularities for functions of two or more variables.

Presenter:Alexandr Virodov

Additional Authors:Prof. Michael SiegelKamyar MalakutiNan Maung

Page 2: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Outline Motivation 1D – Well known result 2D – Our generalization 2D – Application examples 3D – Theory and example

Page 3: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Motivation Kelvin-Helmholtz Instability

Page 4: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Motivation Rayleigh-Taylor instability

Page 5: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Theory – 1D C. Sulem, P.L. Sulem, and H. Frisch.

Tracing complex singularities with spectral methods. J. of Comp. Phys., 50:138-161, 1983.

Asymptotic relationIm(x)

Re(x)

Page 6: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Example – 1D Inviscid Burger’s Equation

Page 7: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Theory – 2D

For

it can be shown that

Im(x)

Re(x)

Page 8: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Synthetic Data in 2D

Page 9: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Burger’s EquationTraveling Wave solution

Page 10: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Burger’s Equation I

Page 11: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Burger’s Equation II

Page 12: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

3 dimensions

Most general form

Again, it can be shown that

Page 13: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Synthetic Data in 3D

Page 14: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Further research Application of the method to 3D

Burger’s equation

Application of the method to the Euler’s equation

Accuracy and stability of the method for specific cases

Page 15: Numerical detection of complex singularities for functions of two or more variables. Presenter:Alexandr Virodov Additional Authors: Prof. Michael Siegel

Questions? References:

C. Sulem, P.L. Sulem, and H. Frisch. Tracing complex singularities with spectral methods. J. of Comp. Phys., 50:138-161, 1983.

K. Malakuti. Numerical detection of complex singularities in two and three dimensions

S. Li, H. Li. Parallel AMR Code for Compressible MHD or HD Equations. http://math.lanl.gov/Research/Highlights/amrmhd.shtml

M. Paperin. http://www.brockmann-consult.de/CloudStructures/images/kelvin-helmholtz-instab/k-w-system.gif Brockmann Consult, Geesthacht, 2009.