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I am trying to understand why the Euler-Lagrange's equations in generalized coordinates are equivalent to Newton's equations of motion. But there is a link missing in my reasoning...1° It is easy to show that Newton's equations in cartesian coordinates are equivalent to Lagrange's equations. I.e. one [itex]\Leftrightarrow[/itex] the other.
2° Here is the missing link. The central theorem in the theory of calculus of variation says that... (see http://en.wikipedia.org/wiki/Euler-Lagrange_equations#Statement). Roughly, for a path [itex]\vec{r}(t)[/itex] which extremizes the action, the Lagrangian [itex]L(\vec{r}(t),\dot{\vec{r}}(t),t)[/itex] satisfies the Euler-Lagrange's equations. But the opposite need not be true. The goal of 2° is to show that in the case of mechanics, the converse is true.
The fact that the converse need not be true implies that even tough Newton's cartesian equations are equivalent to Euler-Lagrange's cartesian equations, I cannot conclude that the action is extremizedfor the physical path (x(t), y(t), z(t)). If however, it is possible to show something like the fact that for a sufficiently small time interval [itex]\Delta t[/itex], the action
[tex]S=\int_t^{t+\Delta t}L(x(t),y(t),z(t),\dot{x}(t),\dot{y}(t),\dot{z}(t),t)dt[/tex]
always has one and only one extremum, then it is easy to conclude that the extremizing path in question must be the physical path. If it were not, there would be a contradiction because we'd assume that the physical path does not "minimizes" the action but since it is the physical path, it satisfies Newton's equations and hence also Euler-Lagrange's. But the path that minimizes the action also satisfies Euler-Lagrange's equ (by the central thm of calculus of variation) and thus Newton's (since they are related by a [itex]\Leftrightarrow[/itex] relation) too. By the unicity of the physical path, it must be that the physical path is the one which extremizes the action, since we know for a fact that such a path always exists for sufficiently small time intervals.But I know nearly nothing about calculus of variation. Is this existence and uniqueness of the extremizing function trivial?? Or is it plain and simply wrong? If so, how to achieve the goal of 2°? Or ultimately, forget 1° & 2° and give another rigorous outline leading to the undeniable equivalence of the original Newton's equations and the generalized Euler-Lagrange's equations.
For completeness, given 2°, i.e. given the fact that the cartesian Euler-Lagrange equations imply the cartesian Hamilton principle, here is the rest of the argument...3° Given a complete set of generalized coordinates, write the "physical Lagrangian" as a function of these new coordinates. Since the action is extremized for the path in cartesian coordinates, it is also extremized for the path written in these new coordinates, hence, by virtue of the central theorem of calculus of variation, we can write the Euler-Lagrange's equations is generalized coordinates.
4° By solving them for each generalized coordinates [itex]q_i(t)[/itex], we can recreate the physical path (x(t), y(t), z(t)) by substituting their explicit time-dependant form into the transformation equations
[tex]x=x(q_1,...,q_N), \ \ y=y(q_1,...,q_N), \ \ z=z(q_1,...,q_N)[/tex]Thanks for reading.
2° Here is the missing link. The central theorem in the theory of calculus of variation says that... (see http://en.wikipedia.org/wiki/Euler-Lagrange_equations#Statement). Roughly, for a path [itex]\vec{r}(t)[/itex] which extremizes the action, the Lagrangian [itex]L(\vec{r}(t),\dot{\vec{r}}(t),t)[/itex] satisfies the Euler-Lagrange's equations. But the opposite need not be true. The goal of 2° is to show that in the case of mechanics, the converse is true.
The fact that the converse need not be true implies that even tough Newton's cartesian equations are equivalent to Euler-Lagrange's cartesian equations, I cannot conclude that the action is extremizedfor the physical path (x(t), y(t), z(t)). If however, it is possible to show something like the fact that for a sufficiently small time interval [itex]\Delta t[/itex], the action
[tex]S=\int_t^{t+\Delta t}L(x(t),y(t),z(t),\dot{x}(t),\dot{y}(t),\dot{z}(t),t)dt[/tex]
always has one and only one extremum, then it is easy to conclude that the extremizing path in question must be the physical path. If it were not, there would be a contradiction because we'd assume that the physical path does not "minimizes" the action but since it is the physical path, it satisfies Newton's equations and hence also Euler-Lagrange's. But the path that minimizes the action also satisfies Euler-Lagrange's equ (by the central thm of calculus of variation) and thus Newton's (since they are related by a [itex]\Leftrightarrow[/itex] relation) too. By the unicity of the physical path, it must be that the physical path is the one which extremizes the action, since we know for a fact that such a path always exists for sufficiently small time intervals.But I know nearly nothing about calculus of variation. Is this existence and uniqueness of the extremizing function trivial?? Or is it plain and simply wrong? If so, how to achieve the goal of 2°? Or ultimately, forget 1° & 2° and give another rigorous outline leading to the undeniable equivalence of the original Newton's equations and the generalized Euler-Lagrange's equations.
For completeness, given 2°, i.e. given the fact that the cartesian Euler-Lagrange equations imply the cartesian Hamilton principle, here is the rest of the argument...3° Given a complete set of generalized coordinates, write the "physical Lagrangian" as a function of these new coordinates. Since the action is extremized for the path in cartesian coordinates, it is also extremized for the path written in these new coordinates, hence, by virtue of the central theorem of calculus of variation, we can write the Euler-Lagrange's equations is generalized coordinates.
4° By solving them for each generalized coordinates [itex]q_i(t)[/itex], we can recreate the physical path (x(t), y(t), z(t)) by substituting their explicit time-dependant form into the transformation equations
[tex]x=x(q_1,...,q_N), \ \ y=y(q_1,...,q_N), \ \ z=z(q_1,...,q_N)[/tex]Thanks for reading.
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