连续最优增长模型的鞍点性质和Hopf分岔:拉格朗日方法

Pierre Cartigny
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引用次数: 2

摘要

鞍点性质产生的条件及其损失已经得到了广泛的研究。一般来说,这些性质是通过哈密顿形式主义建立起来的;我们建议在这里不参考任何哈密顿系统,而只使用拉格朗日。我们的研究是地方性的;在这种情况下,似乎无法获得新的结果;然而,我们建立了鞍点性质丧失和周期轨道存在的充分条件,据我们所知,这些在文献中没有发现。我们假设拉格朗日函数是凹的。众所周知,哈密顿函数的交叉导数(即Hxp(x, p))在这些问题中是很重要的,但是哈密顿函数的凹凸性并不能轻易给出关于这些导数的任何信息。另一方面,我们直接在拉格朗日函数中得到这些信息,因为拉格朗日函数在它的两个参数上是凹的。我们在这里给出了我们的结果的一个独立的版本,我们毫不犹豫地重新建立了一些众所周知的结果,因为我们相信强调拉格朗日方法的直截了当的方面是有趣的。
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Saddle point property and Hopf bifurcation in continuous optimal growth models: a Lagrangian approach

Conditions for saddle point property, and the loss of it, have been widely studied. Generally these properties are established by means of a Hamiltonian formalism; we propose here to work without reference to any Hamiltonian system, and to use only the Lagrangian.

Our study is local; it may seem that no new result can be obtained in this setting; nevertheless we establish sufficient conditions for the loss of saddle point property and for the existence of periodic orbits which, to our knowledge, are not found in the literature.

We take the standard assumption that the Lagrangian is concave. It is well known that the cross derivatives of the Hamiltonian (i.e. Hxp(x, p)) are important in these problems, but the concavity-convexity property of the Hamiltonian does not easily give any information on these derivatives. On the other hand, we obtain such information directly in the Lagrangian version, because the Lagrangian is concave on its two arguments.

We give here a self-contained version of our results and we do not hesitate to re-establish some well-known results, because we believe it is interesting to underline the straightforward aspect of the Lagrangian approach.

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