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Least action and partial order
The Next CEO of Stack OverflowMinimizing Lagrangian with two functionsProb. 2, Sec. 20 in Munkres' TOPOLOGY, 2nd ed: The dictionary order topology on $mathbbR times mathbbR$ is metrizable.Minimum variance, fixed mean , discrete random variableFinding zero of a matrix function via trust region subproblemProve that the Taylor series is the solution to this minimization problem?Linear regression: minimize both vertical and horizontal distance?Why does letting $x,y,z to 0$ to minimize the surface area of a box with an open lid violate the constraint $V - xyz = 0$?Taylor’s derivative test for extrema and inflexion pointsFind a function that minimises an integralWhat does equation of error function to zero exactly do?
$begingroup$
I am fascinated by minimizing principles; my favourite is the least action principle,
$$
S[q]=int_t_1^t_2L(q,dotq) dt ,
$$
which states that the trajectory of a physical system will be such that the action is minimum. The action, $S$, is a function that takes an entire trajectory $gamma: R to M$; $M$ a manifold, and returns a real number.
I understand the minimization problem thusly: $q_cl$ is a minimum of the action, if there exists a neighbourhood of $q_cl$, call in $N_c$ (in the function space of all trajectories) such that for all $qin N_c$ $S[q]geq S[q_cl]$.
The codomain, being a partially ordered set, induces a partial order in the domain; namely, in the set of all trajectories, thus allowing us to label one trajectory as the one that minimizes. Is the structure of partial order ($leq$) in the codomain the weakest possible that allows us to talk about minimization problems?
What I want really to understand, is successively, the contribution of each structure of the codomain to the problem. For example, the partial order of the codomain, allows us to state the problem of minimization. What about the topology of the codomain? What if the topology of the codomain is not metrizable? Completeness, smoothness, etc...?
general-topology optimization manifolds maxima-minima
$endgroup$
add a comment |
$begingroup$
I am fascinated by minimizing principles; my favourite is the least action principle,
$$
S[q]=int_t_1^t_2L(q,dotq) dt ,
$$
which states that the trajectory of a physical system will be such that the action is minimum. The action, $S$, is a function that takes an entire trajectory $gamma: R to M$; $M$ a manifold, and returns a real number.
I understand the minimization problem thusly: $q_cl$ is a minimum of the action, if there exists a neighbourhood of $q_cl$, call in $N_c$ (in the function space of all trajectories) such that for all $qin N_c$ $S[q]geq S[q_cl]$.
The codomain, being a partially ordered set, induces a partial order in the domain; namely, in the set of all trajectories, thus allowing us to label one trajectory as the one that minimizes. Is the structure of partial order ($leq$) in the codomain the weakest possible that allows us to talk about minimization problems?
What I want really to understand, is successively, the contribution of each structure of the codomain to the problem. For example, the partial order of the codomain, allows us to state the problem of minimization. What about the topology of the codomain? What if the topology of the codomain is not metrizable? Completeness, smoothness, etc...?
general-topology optimization manifolds maxima-minima
$endgroup$
add a comment |
$begingroup$
I am fascinated by minimizing principles; my favourite is the least action principle,
$$
S[q]=int_t_1^t_2L(q,dotq) dt ,
$$
which states that the trajectory of a physical system will be such that the action is minimum. The action, $S$, is a function that takes an entire trajectory $gamma: R to M$; $M$ a manifold, and returns a real number.
I understand the minimization problem thusly: $q_cl$ is a minimum of the action, if there exists a neighbourhood of $q_cl$, call in $N_c$ (in the function space of all trajectories) such that for all $qin N_c$ $S[q]geq S[q_cl]$.
The codomain, being a partially ordered set, induces a partial order in the domain; namely, in the set of all trajectories, thus allowing us to label one trajectory as the one that minimizes. Is the structure of partial order ($leq$) in the codomain the weakest possible that allows us to talk about minimization problems?
What I want really to understand, is successively, the contribution of each structure of the codomain to the problem. For example, the partial order of the codomain, allows us to state the problem of minimization. What about the topology of the codomain? What if the topology of the codomain is not metrizable? Completeness, smoothness, etc...?
general-topology optimization manifolds maxima-minima
$endgroup$
I am fascinated by minimizing principles; my favourite is the least action principle,
$$
S[q]=int_t_1^t_2L(q,dotq) dt ,
$$
which states that the trajectory of a physical system will be such that the action is minimum. The action, $S$, is a function that takes an entire trajectory $gamma: R to M$; $M$ a manifold, and returns a real number.
I understand the minimization problem thusly: $q_cl$ is a minimum of the action, if there exists a neighbourhood of $q_cl$, call in $N_c$ (in the function space of all trajectories) such that for all $qin N_c$ $S[q]geq S[q_cl]$.
The codomain, being a partially ordered set, induces a partial order in the domain; namely, in the set of all trajectories, thus allowing us to label one trajectory as the one that minimizes. Is the structure of partial order ($leq$) in the codomain the weakest possible that allows us to talk about minimization problems?
What I want really to understand, is successively, the contribution of each structure of the codomain to the problem. For example, the partial order of the codomain, allows us to state the problem of minimization. What about the topology of the codomain? What if the topology of the codomain is not metrizable? Completeness, smoothness, etc...?
general-topology optimization manifolds maxima-minima
general-topology optimization manifolds maxima-minima
asked Mar 19 at 11:19
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