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The smooth forced Maxwell Cauchy system on a slab: existence, uniqueness, Gauss constraints and the cone of dependence
Statement
Assume the Axiom of Countable Choice () through The three-dimensional wave Cauchy problem: Kirchhoff representation, uniqueness, domain of dependence and compact support (The Axiom of Countable Choice ()). Let with , let , and let and be of class in the extension sense (restrictions of functions on for some open interval , Euclidean maps and diffeomorphisms) satisfying the continuity equation
Let satisfy and on . Then:
(a) the first-order system
with , , has exactly one solution with of class on in the extension sense;
(b) this solution obeys both Gauss laws on : and ;
(c) (domain of dependence) if is second data of the same kind and, for some and , one has , on the closed base ball and , on the closed backward cone (Forward and backward wave cones, domain of dependence and influence), then and .
This is a statement about the stipulated smooth system with coefficients and sources given; no physical identification of with an electromagnetic field, no finite-domain boundary problem and no decay at spatial infinity is asserted.
Facts & Assumptions
Given: The constants with , the times , the extension-sense smooth sources with , and the data with the two constraint identities.
Put . For every and every extension-sense smooth source on the slab there is a unique extension-sense function with on , , ; it is in the extension sense. Moreover, if are second data with , on a closed ball and on the closed backward cone , then the corresponding solutions agree at . The theorem assumes (The three-dimensional wave Cauchy problem: Kirchhoff representation, uniqueness, domain of dependence and compact support).
If is then wherever defined (The curl of the gradient of a function vanishes).
If is a field then (The divergence of the curl of a field vanishes).
If is a field on an open subset of , then (The curl of a curl is the gradient of the divergence minus the Laplacian).
Divergence and curl are linear on fields, and (Divergence and curl are linear and satisfy the scalar product rules).
If is on an open subset of then (Clairaut--Schwarz theorem for continuous second partial derivatives).
One-variable derivatives are linear and obey the sum rule, and total derivatives are additive and homogeneous (Sums, scalar multiples, products and quotients: , , , and when , Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives).
for , for on open subsets of , for scalars, partial derivatives are one-variable derivatives along coordinate lines, and (Divergence and curl of a vector field, The Laplacian of a function and of a vector field, Directional derivatives and partial derivatives of a map , The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).
A map is of class when each component is, in the extension sense on a closed time slab when it is the restriction of a map on an open time neighbourhood ( Euclidean maps and diffeomorphisms).
The closed backward cone with vertex is , with base ball (Forward and backward wave cones, domain of dependence and influence).
A continuous function on an interval with zero derivative at every interior point is constant (A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
The Axiom of Countable Choice (The Axiom of Countable Choice ()).
Proof
Existence. Define componentwise by [F1] on the slab with data , and source , and componentwise by [F1] with data , and source . All data and sources are smooth in the extension sense because are, and and are finite combinations of first partial derivatives; hence and are of class on the slab in the extension sense.
The first-order equations. Put and . Since commutes with on functions and commutes with on fields (both are finite combinations of constant-coefficient first and second partial derivatives, and mixed partials commute), the wave equations of step 1.1 give , and . Adding, with and so , the and terms cancel and by the continuity equation. Likewise , using and the interchange of with . At : and by the prescribed data. For the time derivatives at : and , so ; similarly and . Thus and are extension-sense smooth fields with on and zero initial values and time derivatives; the uniqueness clause of [F1], applied componentwise, gives , that is, and on the slab.
The Gauss laws. Put . Since commutes with on extension-sense fields, , the last equality being the time derivative of the continuity equation. Moreover and, using the first-order equation from step 2.1 and , . By the uniqueness clause of [F1] componentwise, . Likewise , and , so on the slab.
Uniqueness and the forced wave problems. Let be any second solution of the first-order system on the slab in the extension sense with the same data. Taking divergence directly in its first-order equations gives and by [F3] and the continuity equation. For each fixed spatial point these defects have zero derivative, hence are constant in time by [F11], and their initial values vanish; thus and . Differentiating in time and using gives , hence , while . Its initial data and initial time derivatives coincide with those used in step 1.1 (the derivative values are determined by the system and the data: and ). By the uniqueness clause of [F1] applied componentwise, and .
Domain of dependence. Let be second data as in the Statement, with corresponding solution furnished by step 1.1, and fix , . By step 4.1's reduction, solves the wave problem with source and initial data , , and solves the corresponding wave problem with hatted data. The data agree on the closed base ball : the displacement data agree by hypothesis, and the time-derivative data agree because and there (the latter is the base of the cone in [F10]). The sources agree on the closed backward cone: and their first partial derivatives agree on the cone, since the identity holds on the open cone (for by hypothesis, for the derivatives by the same local differential expressions) and all these functions are continuous on the closed cone, on which they agree by continuity. Applying the cone clause of [F1] to each component of the wave problems for and gives ; the same argument, with source and initial data , , gives .
Remarks
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Choice accounting. The countable-choice assumption enters only through the existence, uniqueness and cone clauses of the wave theorem [F1]; all differential-algebraic steps are choice-free. The statement records this by assuming globally.
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Role of the constraint hypotheses. and are used in step 2.1 to propagate the Gauss laws; without them the first-order system would still have a unique solution but the first-order divergence identities would keep the corresponding initial Gauss defects constant in time at each spatial point. The continuity equation is used in steps 2.1, 3.1 and 4.1.
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No physical claim. The constants are parameters of the mathematical system; no identification with an electromagnetic field or with SI quantities is made here.
Depends on
A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant
The three-dimensional wave Cauchy problem: Kirchhoff representation, uniqueness, domain of dependence and compact support
The Axiom of Countable Choice ()
Euclidean maps and diffeomorphisms
Divergence and curl of a vector field
The Laplacian of a function and of a vector field
Wave equation, Cauchy data and wave speed
Forward and backward wave cones, domain of dependence and influence
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
Directional derivatives and partial derivatives of a map
The curl of the gradient of a function vanishes
The divergence of the curl of a field vanishes
The curl of a curl is the gradient of the divergence minus the Laplacian
Divergence and curl are linear and satisfy the scalar product rules
Clairaut--Schwarz theorem for continuous second partial derivatives
Sums, scalar multiples, products and quotients: , , , and when
Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives