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The three-dimensional continuity identity, the vanishing stationary divergence and the incident and outgoing current readings
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let and be nonempty open sets, and let be functions of class ( Euclidean maps and diffeomorphisms) that satisfy the two real equations pointwise on for a real-valued function on , where , differentiates in spatial coordinate for with fixed, differentiates in with fixed, and (Directional derivatives and partial derivatives of a map ). The equations are the componentwise reading of for . Put with the spatial gradient of The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case at each fixed and the divergence of Divergence and curl of a vector field. Then:
(a) Continuity identity. pointwise on .
(b) Stationary solutions. If are and independent of , if is real, and if there is a real with pointwise on , then on for the time-independent field , and for every closed ball with outward unit normal on the sphere ,
(c) The two explicit readings. Let , and define , on (then are and satisfy the stationary equations with , ). Then Let , write , let with , , and let be functions with . Here , and, for a function , means that its radial extension , , is in the open-domain sense of Euclidean maps and diffeomorphisms. Define on , so that with . Then and, with , and the current identity holds for every declared , with no equation required of the field.
The assertion is an identity for the declared differentiable functions; it constructs no probability law, no state, no beam and no cross section. The fields of clause (c) are only : an need not admit two angular derivatives, and no outgoing field is claimed here to solve the free equation or to be stationary.
Facts & Assumptions
Given: the open sets , the functions , the constants , and the data of clause (c).
Differentiation rules. For totally differentiable Euclidean maps the sum and scalar-multiple rules hold (Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives) and the chain rule holds (The chain rule for total derivatives: ), with recovering the partial derivatives (A total derivative computes every directional derivative, and its matrix is the Jacobian); the partial derivatives themselves are those of Directional derivatives and partial derivatives of a map , the entries of the Jacobian of The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case. For scalar functions on an interval the sum, product and quotient rules hold (Sums, scalar multiples, products and quotients: , , , and when ), and and on (The derivatives of sine and cosine are cosine and minus sine). Also for every real (Parity and the Pythagorean identity for sine and cosine).
Divergence of a product with a scalar. For functions and , the equality holds pointwise, the divergence and gradient being those of Divergence and curl of a vector field and The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case (Divergence and curl are linear and satisfy the scalar product rules).
Divergence theorem. Assume . For a bounded domain and , (Divergence on a bounded C1 Euclidean domain).
Proof
Given: the data of the statement and [F1]-[F3].
By [F1], pointwise on .
Put . By [F2] applied to each of the two products, using and likewise for , one has and ; the mixed terms are equal by symmetry of the inner product and cancel in the difference, so and hence .
Reading the complex equation by real and imaginary parts gives and , i.e. and .
For , the chain rule [F1] gives and ; hence and . The two functions are and satisfy the stationary equations with , because and by [F1], so summing over and using gives and with .
Write , and . Then , , so by the chain and product rules for functions of the single variable [F1], and . Multiplying out, ; since is a unit vector and the radial directional derivative of an angular function is zero, , which is the first display of (c), and multiplying by gives the equivalent second display. Both and are on : they are sums of products of the radial factors , , with the angular factors , and the radial extensions of are by the explicit convention in (c), so the Euclidean product rules give the stated regularity.
Substituting 1.3 into 1.1 and using that is real, . Adding the value of from 1.2 gives , which is (a).
If do not depend on and satisfy the stationary equations, then and pointwise, so 1.2 gives on .
Let . The ball is a bounded domain and is on a neighbourhood of its closure, so [F3] gives by 2.2; with 1.4 for the plane-wave reading, 1.5 for the outgoing current identity, 2.1 for (a) and this step for (b), the proof of (a), (b) and (c) is complete.
Remarks
- Role. The lemma supplies the exact current reading used by the pair's stationary beam model: is the pair of clauses (a) and (b) that makes the current of a stationary solution divergence-free and flux-free through spheres, and clause (c) computes the two currents -- the incident plane wave with magnitude and the outgoing spherical wave with radial density -- that the model's cross-section reading compares. Clause (c) asserts the outgoing current identity without any equation for the field: the model's amplitude appears in the outgoing coefficient of the full stationary solution (incident wave plus outgoing wave plus remainder), whose existence and equation are established by the pair's stationary theorem, not here.
- Choice. The divergence theorem used in 3.1 assumes countable choice; no additional choice principle is used.
Depends on
Directional derivatives and partial derivatives of a map
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Divergence and curl of a vector field
Euclidean maps and diffeomorphisms
Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives
The chain rule for total derivatives:
A total derivative computes every directional derivative, and its matrix is the Jacobian
Sums, scalar multiples, products and quotients: , , , and when
The derivatives of sine and cosine are cosine and minus sine
Parity and the Pythagorean identity for sine and cosine
Divergence and curl are linear and satisfy the scalar product rules
Divergence on a bounded C1 Euclidean domain
Intervals of : the nine order-convex forms, nondegeneracy, and length
The Axiom of Countable Choice ()