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The distribution is not tangent to any regular level sets
Statement
Let be open and nonempty, and consider the derivations and acting on functions on . If is of class with
then on . Consequently, if is and for every (so that every level set of is a regular level set with tangent space , Regular and critical points, regular and critical values, and level sets, The tangent space to a regular level set), then the distribution of The velocity constraint : virtual displacements, the d'Alembert law and the vakonomic law cannot equal for every ; that is, no such has level sets whose tangent planes are everywhere the virtual displacements of the constraint .
Facts & Assumptions
Given: The open set , a function , and the two derivations , .
Partial derivatives, the gradient and the Jacobian (Directional derivatives and partial derivatives of a map , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, maps and multi-index derivative notation in Euclidean space, Euclidean maps and diffeomorphisms): and are the displayed functions, and .
Equality of mixed partial derivatives for a function (Clairaut--Schwarz theorem for continuous second partial derivatives): and on .
One-variable calculus and the product rule (Sums, scalar multiples, products and quotients: , , , and when , The derivative of at a point that is a limit point of , and differentiability on a set): the composition of partial derivatives acts by the usual product rule, so and .
Proof
The hypotheses and on give, by the product rule and linearity of the derivations, on ; that is, where .
Compute from [F3]: because [F2] cancels the first pair and the pair multiplied by .
Steps 1.1 and 1.2 give on . Then , and ; hence all three partial derivatives vanish and on .
Consequently, if at every point of , no function satisfies ; in particular no such has for every , since equality with the kernel would force and to annihilate .
Remarks
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The computation shows that the constraint distribution of is not tangent to a two-dimensional regular level foliation: steps 1.1-1.2 identify the bracket on functions as the derivation , and the hypothesis that and annihilate a defining function forces and hence a vanishing gradient. The conclusion needed by the classical-mechanics development is drawn directly, without invoking a converse of the Frobenius theorem.
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The proposition is the precise sense in which is a non-holonomic constraint: it is not equivalent to for any function with nonvanishing differential. Nothing is asserted about constraints that merely look similar or about kinematic mechanisms; those belong to the consuming physical models.
Depends on
The velocity constraint : virtual displacements, the d'Alembert law and the vakonomic law
Clairaut--Schwarz theorem for continuous second partial derivatives
Sums, scalar multiples, products and quotients: , , , and when
The derivative of at a point that is a limit point of , and differentiability on a set
Euclidean maps and diffeomorphisms
maps and multi-index derivative notation in Euclidean space
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Directional derivatives and partial derivatives of a map
Regular and critical points, regular and critical values, and level sets
The tangent space to a regular level set
Dependency tree · 2 levels
Sources
- J. Cortes, M. de Leon, D. Martin de Diego and S. Martinez, Geometric description of vakonomic and nonholonomic dynamics. Comparison of solutions (SIAM J. Control Optim., author PDF), Section 5 (Chetaev equations for non-integrable linear constraints and the non-integrability discussion)
- D. Cline, Variational Principles in Classical Mechanics (2nd edition, University of Rochester River Campus Libraries, open textbook, CC BY-NC-SA 4.0), Section 5.7 (Constrained Variational Systems: differential constraints and integrability) and Section 6.9 (Applications involving Non-holonomic Constraints)