D'alembert's Principle: Doubts Explained

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D'Alembert's Principle states that the sum of the differences between the applied forces and the time rate of change of momentum must equal zero, represented mathematically as \(\sum_{i}(\vec {F}_i - \dot{\vec{p}}_i)\delta\vec{r}_i=0\). In dynamic situations, only the total sum must vanish, while in equilibrium, each term must individually equal zero. The principle is crucial for analyzing constraint systems, particularly when using independent coordinates or Lagrange multipliers to derive equations of motion. The discussion emphasizes the importance of understanding the variational principle in determining trajectories in dynamical systems.

PREREQUISITES
  • Understanding of D'Alembert's Principle
  • Familiarity with Lagrange multipliers
  • Knowledge of the Principle of Virtual Work
  • Basic concepts of calculus of variations
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  • Study the application of Lagrange multipliers in constraint systems
  • Explore the calculus of variations for trajectory optimization
  • Investigate the relationship between D'Alembert's Principle and Newton's laws
  • Learn about holonomic and non-holonomic constraints in mechanics
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Students and professionals in physics, particularly those focusing on classical mechanics, dynamical systems, and constraint analysis. This discussion is beneficial for anyone seeking to deepen their understanding of D'Alembert's Principle and its applications in motion analysis.

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/I'm having some doubt with D'alembert's Principle. The principle states that \sum_{i}(\vec {F}_i - \dot{\vec{p}}_i)\delta\vec{r}_i=0 but does that mean that each term of the summation must vanish too, or just the sum does? I know that mathematically there's no need that each term shall vanish, but does physical considerations requires them to vanish separately?
 
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The point of d'Alembert's principle is to use it for constraint systems. If the constraints are all holonomic, you can introduce independent coordinates q_k writing \vec{r}_i=\vec{r}_i(q_1,\ldots,q_f), where f is the number of independent degrees of freedom. Then you can vary the q_k independently from each other, and this gives you equations of motion in terms of these variables.

Another method is to keep the Cartesian coordinates \vec{r}_i and implement the constraints with help of Lagrange multipliers. Then you can vary the \delta \vec{r}_i independently. This leads to equations of motion, where additional forces from the constraints are taken into account.
 
Let's take this in two steps:

The Principle of Virtual Work tells us that constraints do no work.

D'Alembert's Principle permits the impressed forces of dynamical systems to be handled in the same way as constraints - the application of this is to find the unknown trajectories caused by the impressed forces via the calculus of variations - thanks to Euler and Lagrange.

For a system in equilibrium the independence of the coordinates tells us that each of the terms must be zero; for dynamics it is only the sum which must be zero.
 
But why in dynamic situations only the sum must be zero, and not each member of the sum?
 
In the case of equilibrium each variation has only a single coefficient: the value for the force of that constraint. In linear algebra it is shown that if the variables (coordinates) are linearly independent then the sum of a set of coefficients times the independent variables can only sum to zero when all of the coefficients are identically zero.

In the dynamical case you have a difference which must be zero ... but now the expression depends upon the trajectories via Newton's second law of motion: so yes, each term must go to zero, and this is the variational principle which is used to find those trajectories.

Sorry if my earlier statement was misleading and unclear.
 

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