Physlib

PhyslibAlpha.ClassicalFieldTheory.Local.TotalDerivative

Total derivatives on local jet-dependent functions

i. Overview

This module defines total derivatives of local jet-dependent functions by differentiating their evaluation along jets of fields.

For the first local stage, this keeps the operator close to the use made in the Euler-Lagrange formula, without yet introducing a separate coordinate-level derivative calculus on `JetPoint`.

ii. Key results

- `ClassicalFieldTheory.Local.evalOnJet` : evaluate a jet-dependent function along a field. - `ClassicalFieldTheory.Local.totalDerivative` : total derivative in one coordinate direction. - `ClassicalFieldTheory.Local.iteratedTotalDerivative` : iterated total derivative indexed by a multi-index.

iii. Table of contents

  • A. Evaluation on jets
  • B. Total derivatives

iv. References

A. Evaluation on jets

B. Total derivatives

8 declarations

definition

Evaluation of FF along the kk-jet of ff

Given a jet order kNk \in \mathbb{N}, a local jet-dependent function F:Jk(Space d,Rm)RF: J^k(\text{Space } d, \mathbb{R}^m) \to \mathbb{R}, and a field f:Space dRmf: \text{Space } d \to \mathbb{R}^m, this definition returns the function from Space d\text{Space } d to R\mathbb{R} that maps each point xx to F(jkf(x))F(j^k f(x)), where jkf(x)j^k f(x) is the kk-jet of the field ff at xx.

definition

Total derivative of a jet-dependent function FF in direction ii

Given a jet order kNk \in \mathbb{N}, a coordinate index i{0,,d1}i \in \{0, \dots, d-1\}, a local jet-dependent function F:Jk(Space d,Rm)RF: J^k(\text{Space } d, \mathbb{R}^m) \to \mathbb{R}, and a field f:Space dRmf: \text{Space } d \to \mathbb{R}^m, the total derivative is the function from Space d\text{Space } d to R\mathbb{R} defined by the partial derivative of the composition FjkfF \circ j^k f with respect to the ii-th coordinate. Specifically, for any point xSpace dx \in \text{Space } d, it evaluates to ddxi(F(jkf(x)))=i(evalOnJet kFf)(x) \frac{d}{dx_i} \left( F(j^k f(x)) \right) = \partial_i \left( \text{evalOnJet } k \, F \, f \right)(x) where jkf(x)j^k f(x) is the kk-jet of the field ff at xx, and i\partial_i denotes the spatial derivative in the ii-th standard basis direction.

definition

Iterated total derivative DIFD^I F of a jet-dependent function

Given a spatial dimension dd, a field dimension mm, a jet order kNk \in \mathbb{N}, and a multi-index INdI \in \mathbb{N}^d, let F:Jk(Rd,Rm)RF: J^k(\mathbb{R}^d, \mathbb{R}^m) \to \mathbb{R} be a local jet-dependent function and f:RdRmf: \mathbb{R}^d \to \mathbb{R}^m be a field. The iterated total derivative DIFD^I F (evaluated on the field ff) is the function mapping each point xRdx \in \mathbb{R}^d to the iterated partial derivative of the evaluation of FF along the kk-jet of ff: (DIF[f])(x)=IxI(F(jkf(x)))=Ix0I0x1I1xd1Id1(F(jkf(x))) (D^I F[f])(x) = \frac{\partial^{|I|}}{\partial x^I} \left( F(j^k f(x)) \right) = \frac{\partial^{|I|}}{\partial x_0^{I_0} \partial x_1^{I_1} \cdots \partial x_{d-1}^{I_{d-1}}} \left( F(j^k f(x)) \right) where jkf(x)j^k f(x) denotes the kk-jet of the field ff at the point xx.

theorem

(evalOnJet kFf)(x)=F(jkf(x))(\text{evalOnJet } k \, F \, f)(x) = F(j^k f(x))

Let kNk \in \mathbb{N} be a jet order, F:Jk(Space d,Rm)RF: J^k(\text{Space } d, \mathbb{R}^m) \to \mathbb{R} be a local jet-dependent function, and f:Space dRmf: \text{Space } d \to \mathbb{R}^m be a field. For any point xSpace dx \in \text{Space } d, the evaluation of FF along the kk-jet of ff at xx is equal to F(jkf(x))F(j^k f(x)), where jkf(x)j^k f(x) is the kk-jet of the field ff at xx.

theorem

Total Derivative Equals Spatial Derivative of Jet-Dependent Evaluation

For a jet order kNk \in \mathbb{N}, a coordinate index i{0,,d1}i \in \{0, \dots, d-1\}, a local jet-dependent function F:Jk(Rd,Rm)RF: J^k(\mathbb{R}^d, \mathbb{R}^m) \to \mathbb{R}, and a field f:RdRmf: \mathbb{R}^d \to \mathbb{R}^m, the total derivative of FF in the ii-th coordinate direction (evaluated along ff) is equal to the spatial derivative i\partial_i of the function that maps each point xx to the evaluation of FF at the kk-jet of ff at xx. Mathematically, this is expressed as: totalDerivative kiFf=i(xF(jkf(x))) \text{totalDerivative } k \, i \, F \, f = \partial_i (x \mapsto F(j^k f(x))) where jkf(x)j^k f(x) denotes the kk-jet of the field ff at the point xx, and i\partial_i denotes the partial derivative with respect to the ii-th spatial coordinate.

theorem

Iterated Total Derivative DIF=[I](Fjkf)D^I F = \partial^{[I]} (F \circ j^k f)

For a jet order kNk \in \mathbb{N}, a multi-index INdI \in \mathbb{N}^d, a jet-dependent function F:Jk(Rd,Rm)RF: J^k(\mathbb{R}^d, \mathbb{R}^m) \to \mathbb{R}, and a field f:RdRmf: \mathbb{R}^d \to \mathbb{R}^m, the iterated total derivative DIFD^I F of FF evaluated along the field ff is equal to the iterated partial derivative of the composition of FF with the kk-jet of ff: (DIF[f])(x)=[I](F(jkf(x))) (D^I F[f])(x) = \partial^{[I]} \left( F(j^k f(x)) \right) where [I]\partial^{[I]} denotes the iterated partial derivative Ix0I0x1I1xd1Id1\frac{\partial^{|I|}}{\partial x_0^{I_0} \partial x_1^{I_1} \cdots \partial x_{d-1}^{I_{d-1}}} and jkf(x)j^k f(x) is the kk-jet of the field ff at the point xx.

theorem

The zero-th iterated total derivative D0FD^0 F equals the evaluation of FF along a jet

Given a spatial dimension dd, a field dimension mm, and a jet order kNk \in \mathbb{N}, let F:Jk(Rd,Rm)RF: J^k(\mathbb{R}^d, \mathbb{R}^m) \to \mathbb{R} be a local jet-dependent function and f:RdRmf: \mathbb{R}^d \to \mathbb{R}^m be a field. The iterated total derivative DIFD^I F with respect to the zero multi-index I=0I = 0 (evaluated on the field ff) is equal to the evaluation of FF along the kk-jet of ff. That is, (D0F[f])(x)=F(jkf(x)) (D^0 F[f])(x) = F(j^k f(x)) where jkf(x)j^k f(x) denotes the kk-jet of the field ff at the point xx.

theorem

The iterated total derivative DeiFD^{e_i} F equals the total derivative ddxiF\frac{d}{dx_i} F

For a jet order kNk \in \mathbb{N}, a coordinate index i{0,,d1}i \in \{0, \dots, d-1\}, a local jet-dependent function F:Jk(Rd,Rm)RF: J^k(\mathbb{R}^d, \mathbb{R}^m) \to \mathbb{R}, and a field f:RdRmf: \mathbb{R}^d \to \mathbb{R}^m, the iterated total derivative DIF[f]D^I F[f] with respect to the multi-index I=eiI = e_i (where eie_i is the multi-index with 1 at the ii-th position and 0 elsewhere) is equal to the total derivative of FF along ff in the direction ii. That is, (DeiF[f])(x)=ddxi(F(jkf(x))) (D^{e_i} F[f])(x) = \frac{d}{dx_i} \left( F(j^k f(x)) \right) where jkf(x)j^k f(x) is the kk-jet of the field ff at the point xx.