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One-Parameter Bifurcations of Equilibria in Continuous-Time Dynamical Systems

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Elements of Applied Bifurcation Theory

Part of the book series: Applied Mathematical Sciences ((AMS,volume 112))

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Abstract

In this chapter, we formulate conditions defining the simplest bifurcations of equilibria in n-dimensional continuous-time systems: the fold and the Hopf bifurcations. Then we study these bifurcations in the lowest possible dimensions: the fold bifurcation for scalar systems and the Hopf bifurcation for planar systems. Appendixes A and B are devoted to technical questions appearing in the analysis of Hopf bifurcation: Effects of higher-order terms and a general theory of Poincaré normal forms, respectively. Chapter 5 shows how to “lift” the results of this chapter to n-dimensional situations.

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Notes

  1. 1.

    The vectors \(q(\alpha )\) and \(p(\alpha )\), corresponding to the simple eigenvalues, can be selected to depend on \(\alpha \) as smooth as \(A(\alpha )\).

  2. 2.

    Actually, only the “resonant” cubic term of the inverse is required

    $$ w=z - \frac{h_{20}}{2}z^{2}-h_{11}z \bar{z}-\frac{h_{02}}{2} \bar{z}^{2} + \frac{1}{2}(3h_{11}h_{20}+2|h_{11}|^{2}+|h_{02}|^{2})z^{2}\bar{z} + \cdots , $$

    where the dots now mean all undisplayed terms.

  3. 3.

    Since (3.23) is only orbitally equivalent to (3.22), the value of \(\omega (\alpha _0)\) given by (3.24) cannot be used directly to evaluate the period of small oscillations around \(E_0\) in the original system.

  4. 4.

    It is always useful to express the Jacobian matrix using \(\omega \) since this simplifies expressions for the eigenvectors.

  5. 5.

    Another way to compute \(g_{20},g_{11}\), and \(g_{21}\) (which may be simpler if we use a symbolic manipulation software) is to define the complex-valued function

    $$ G(z,w)=\bar{p}_1F_1(zq_1+w\bar{q}_1,zq_2+w\bar{q}_2)+\bar{p}_2F_2(zq_1+w\bar{q}_1,zq_2+w\bar{q}_2), $$

    where pq are given above, and to evaluate its formal partial derivatives with respect to zw at \(z=w=0\), obtaining \( g_{20}=G_{zz},\ g_{11}=G_{zw}\), and \(g_{21}=G_{zzw}\). In this way no multilinear functions are necessary. See Exercise 4.

  6. 6.

    Some implementations of MAPLE may produce the eigenvectors in a different form.

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Correspondence to Yuri A. Kuznetsov .

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Kuznetsov, Y.A. (2023). One-Parameter Bifurcations of Equilibria in Continuous-Time Dynamical Systems. In: Elements of Applied Bifurcation Theory. Applied Mathematical Sciences, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-031-22007-4_3

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