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Lyapunov exponents of renewal equations: Numerical approximation and convergence analysis

  • *Corresponding author: Davide Liessi

    *Corresponding author: Davide Liessi
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  • We propose a numerical method for computing the Lyapunov exponents of renewal equations (delay equations of Volterra type), consisting first of applying a discrete QR technique to the associated evolution family suitably posed on a Hilbert state space, and second in reducing to a finite dimension each evolution operator in the obtained time sequence. The reduction to finite dimension relies on a Fourier projection in the state space and on pseudospectral collocation in the forward time step. A rigorous proof of convergence of both the discretized operators and the approximated exponents is provided. A MATLAB implementation is also included for completeness.

    Mathematics Subject Classification: Primary: 37M25, 45D05, 65R20; Secondary: 47D99.

    Citation:

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  • Figure 1.  Absolute errors on the dominant LEs of the RE with quadratic nonlinearity (46) for values of $ \gamma $ corresponding to the stable trivial equilibrium ($ \gamma = 0.5 $), the stable nontrivial equilibrium ($ \gamma = 3 $), and the stable periodic orbit ($ \gamma = 4 $). For the last one, both the trivial and the dominant nontrivial exponents are shown. The errors are measured with respect to the exponents computed via $\texttt{eigTMNc}$. The final time is $ t_{\text{f}} = 1000 $

    Figure 2.  Absolute errors on the dominant LEs of the RE with quadratic nonlinearity (46) for values of $ \gamma $ corresponding to the stable trivial equilibrium ($ \gamma = 0.5 $), the stable nontrivial equilibrium ($ \gamma = 3 $), and the stable periodic orbit ($ \gamma = 4 $). For the last one, both the trivial and the dominant nontrivial exponents are shown. The errors are measured with respect to the exponents computed via $\texttt{eigTMNc}$. The exponents are computed for $ M = N = 16 $

    Figure 3.  Diagram of the first two dominant (in descending order) LEs of the RE with quadratic nonlinearity (46) when varying $ \gamma $, computed with $ M = N = 15 $ and $ t_{\text{f}} = 1000 $

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