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Gauss's principle of least constraint : ウィキペディア英語版
Gauss's principle of least constraint
The principle of least constraint is another formulation of classical mechanics enunciated by Carl Friedrich Gauss in 1829.
The principle of least constraint is a least squares principle stating that the true motion of a mechanical system of N masses is the minimum of the quantity
:
Z \ \stackrel\ \sum_^ m_ \left| \frac_}_}

for all trajectories satisfying any imposed constraints, where m_, \mathbf_ and \mathbf_ represent the mass, position and applied forces of the \mathrm{k^{th}} mass.
Gauss's principle is equivalent to D'Alembert's principle.
The principle of least constraint is qualitatively similar to Hamilton's principle, which states that the true path taken by a mechanical system is an extremum of the action. However, Gauss's principle is a true (local) ''minimal'' principle, whereas the other is an ''extremal'' principle.
==Hertz's principle of least curvature==

Hertz's principle of least curvature is a special case of Gauss's principle, restricted by the two conditions that there be no applied forces and that all masses are identical. (Without loss of generality, the masses may be set equal to one.) Under these conditions, Gauss's minimized quantity can be written
:
Z = \sum_^ \left| \frac_}

The kinetic energy T is also conserved under these conditions
:
T \ \stackrel\ \frac \sum_^ \left| \frac}\right|^

Since the line element ds^ in the 3N-dimensional space of the coordinates is defined
:
ds^ \ \stackrel\ \sum_^ \left| d\mathbf_ \right|^

the conservation of energy may also be written
:
\left( \frac \right)^ = 2T

Dividing Z by 2T yields another minimal quantity
:
K \ \stackrel\ \sum_^ \left| \frac_}

Since \sqrt is the local curvature of the trajectory in the 3N-dimensional space of the coordinates, minimization of K is equivalent to finding the trajectory of least curvature (a }}\ \sum_^ \left| d\mathbf_ \right|^

the conservation of energy may also be written
:
\left( \frac \right)^ = 2T

Dividing Z by 2T yields another minimal quantity
:
K \ \stackrel\ \sum_^ \left| \frac_}

Since \sqrt is the local curvature of the trajectory in the 3N-dimensional space of the coordinates, minimization of K is equivalent to finding the trajectory of least curvature (a geodesic) that is consistent with the constraints. Hertz's principle is also a special case of Jacobi's formulation of the least-action principle.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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