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1990
DOI: 10.1002/prop.2190380902
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Theory of Singular Lagrangians

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Cited by 54 publications
(69 citation statements)
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References 24 publications
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“…Such constraints are known to be hidden in some (consequences) of the Lagrange equations though currently the most efficient tool to analyze the situation is based on canonical Hamiltonian formalism (see [2][3][4][5][6][7]). However, let us here only mention that these constraints are somehow trivial as long as conservation laws are considered since their associated currents vanish on-shell (once initial conditions obey constraints).…”
Section: Introductionmentioning
confidence: 99%
“…Such constraints are known to be hidden in some (consequences) of the Lagrange equations though currently the most efficient tool to analyze the situation is based on canonical Hamiltonian formalism (see [2][3][4][5][6][7]). However, let us here only mention that these constraints are somehow trivial as long as conservation laws are considered since their associated currents vanish on-shell (once initial conditions obey constraints).…”
Section: Introductionmentioning
confidence: 99%
“…However, this is not the final form of the dynamics. To get the final dynamics we must perform a stabilization algorithm: [5][6][7]21,22 consistency requirements, that is, the tangency of X H to the surface of constraints, may lead to new constraints and also to the determination of some of the Lagrangian multipliers as functions in phase space.…”
Section: A Characterization In Phase Spacementioning
confidence: 99%
“…This is nothing but the framework first studied by Dirac to deal with gauge theories or, more generally, constrained systems. [4][5][6][7][8][9] The regular case is recovered when no Hamiltonian constraints occur.…”
mentioning
confidence: 99%
“…Thus only candidates to be optimal trajectories, called extremals, are found. Maximum Principle gives rise to different kinds of them and, particularly, the so-called abnormal extremals have been studied because they can be optimal, as Liu and Sussmann, and Montgomery proved in subRiemannian geometry [5,7].We build up a presymplectic algorithm, similar to those defined in [2,3,4,6], to determine where the different kinds of extremals of an optimal control problem can be. After describing such an algorithm, we apply it to the study of extremals, specially the abnormal ones, in optimal control problems for affine connection control systems [1].…”
mentioning
confidence: 99%
“…We build up a presymplectic algorithm, similar to those defined in [2,3,4,6], to determine where the different kinds of extremals of an optimal control problem can be. After describing such an algorithm, we apply it to the study of extremals, specially the abnormal ones, in optimal control problems for affine connection control systems [1].…”
mentioning
confidence: 99%