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Coordinate covariance of the Euler-Lagrange expression under time-dependent point transformations
Statement
Let , let be open and nonempty, and let be of class ( Euclidean maps and diffeomorphisms) with invertible for every (Invertible Euclidean linear maps, Linear map between vector spaces over the same field). Let be open and let be of class . Put
Then:
- is open, , and is of class on ;
- with one has ;
- , where is the -derivative of and is the matrix with entries , all evaluated at and at ;
- (transport) let be reals and let be a curve with for all , put , and define and , which are . Then
consequently, since is invertible, the Euler–Lagrange expression of vanishes along if and only if the Euler–Lagrange expression of vanishes along .
Facts & Assumptions
Given: The open sets , the map with everywhere invertible , the Lagrangian , a curve with , and the shorthand .
Compositions and finite products of maps are ( Euclidean maps are closed under componentwise algebra and composition, Euclidean maps and diffeomorphisms), and a map with continuous partial derivatives is totally differentiable with the Jacobian as derivative (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, The total (Fréchet) derivative as the linear first-order approximation with remainder, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, maps and multi-index derivative notation in Euclidean space).
The chain rule for total derivatives (The chain rule for total derivatives: ) gives the derivatives of all composites below; in particular , so that , and as matrices.
Mixed second partials of a function commute (Clairaut--Schwarz theorem for continuous second partial derivatives): since is , its mixed second partials are and satisfy and .
If a square matrix is invertible, then implies : indeed gives for all , and surjectivity of gives , hence (Invertible Euclidean linear maps, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, Linear map between vector spaces over the same field, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, Intervals of : the nine order-convex forms, nondegeneracy, and length).
Proof
is the preimage under the continuous map of the open set , hence open; and is the composite of the map with that map, which is because is and enters linearly. This proves clause 1.
Clause 2: by the chain rule and the definition of , which is the -th entry of .
Clause 3: differentiating in gives as displayed.
Clause 4: by clause 2, . Differentiating by [F2] and using from [F3], By clause 3 evaluated at , Subtracting and using cancels the bracket terms and gives the displayed transport identity.
Consequence: if is invertible, then by [F4] the identity implies ; applying this to , the vanishing of is equivalent to the vanishing of . This proves clause 4.
Remarks
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The transformation is restricted to the configuration variables; no transformation of the time variable is performed here. The general point transformation that also changes time, together with the resulting Noether charge, is treated in Noether identity for point transformations with time reparametrisation: the conserved charge .
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The hypothesis makes a map and hence ensures the transformed Lagrangian is . The mixed second derivatives used in transport already commute for ; that weaker assumption alone does not ensure the claimed transformed chart.
Depends on
A time-dependent Lagrangian chart, its action functional and its fixed-endpoint first variations
The chain rule for total derivatives:
Clairaut--Schwarz theorem for continuous second partial derivatives
If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
Euclidean maps are closed under componentwise algebra and composition
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
The total (Fréchet) derivative as the linear first-order approximation with remainder
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
Invertible Euclidean linear maps
Linear map between vector spaces over the same field
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
Intervals of : the nine order-convex forms, nondegeneracy, and length
Dependency tree · 2 levels
Sources
- D. Cline, Variational Principles in Classical Mechanics (2nd edition, University of Rochester River Campus Libraries, open textbook, CC BY-NC-SA 4.0), Section 6.3 (Lagrange Equations from d'Alembert's Principle) and Section 5.8 (Generalized coordinates in Variational Calculus)
- D. Tong, Classical Dynamics (University of Cambridge Part II Mathematical Tripos), Section 2.2 'Changing Coordinate Systems' (Lagrange's equations hold in any coordinate system, with the rotating-coordinate example), printed pages 13-16