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Vector Rankine–Hugoniot condition
Statement
Assume the Axiom of Countable Choice ().
Let be open, be open, be open and convex, and . Let have , let , and let . Suppose is piecewise across , satisfies pointwise on both open sides, and . With , the distributional residual is Here spatial plane measure means the pushforward of Lebesgue measure by , where is any linear isometry onto . Explicitly, . For , and . This definition is independent of and specifies the normalization without Hausdorff-measure notation. Consequently, solves the conservation system in distributions if and only if This is a vector equality; no division by the vector jump is made.
Statement references
Facts & Assumptions
Given: Countable Choice; the open cylinder, fluxes, planar interface, piecewise field, and classical equations on the two open sides in the Statement.
Planar shocks and piecewise smooth traces defines , its open sides, the one-sided traces , and . The side fields have extensions near each interface point.
Distributional systems and entropy flux pairs defines the distributional residual by its action on compactly supported smooth vector tests; the derivative convention pairs a derivative with the negative test derivative.
Distributional derivative defines for a distribution .
A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not: under Countable Choice, every invertible linear map maps Lebesgue measurable sets to measurable sets and satisfies .
Fubini's theorem for L^1 functions on a sigma-finite product permits the iterated integrals of an integrable function on a sigma-finite product space.
The integral of a nonnegative simple function defines the integral of a nonnegative simple function as for disjoint measurable level sets .
The nonnegative Lebesgue integral defines the nonnegative Lebesgue integral as the supremum of the integrals of nonnegative simple minorants.
Integrable real and complex functions, and their integrals defines a signed real integrable function by with both parts having finite integrals, and .
On each open side of , satisfies the classical equation pointwise.
Countable Choice is assumed as in [F4].
Proof
Fix a test . Choose an orthonormal basis of and write , with and . In these coordinates is a linear bijection with absolute determinant , and is an isometry from onto the full spatial plane , whose restriction gives the slice in . [F4] states scaling for measurable sets. For a nonnegative simple function, [F6] and the set-scaling identity for give equality of the integrals of the function and its pullback by summing over the measurable level sets; since is bijective, pullback gives a bijection between the simple minorants of a nonnegative measurable function and those of its pullback, so [F7] gives the same integral identity for nonnegative measurable functions. Apply that identity to the positive and negative parts of each signed integrable real integrand; [F8] then gives equality for the integrable integrands used here. Every test-supported integrand is integrable after extension by zero, since the coefficients are locally integrable and the test derivatives are bounded on compact support. Thus this chart preserves the required volume integrals, and [F5] permits their iterated evaluation. The coordinate measure is the pushforward of by the chosen linear isometry . Replacing by another such isometry changes by an orthogonal linear map, whose determinant has absolute value , so [F4] and the same simple-function argument prove independence of the basis; when this is the one-point measure specified in the Statement. Let for and for . By [F3], one-dimensional integration by parts in gives, for every coefficient field , and , where pairs with on the spatial plane, with the coordinate Lebesgue measure just defined. The time derivative is at fixed , so in this chart ; this produces the factor and the stated normalization. Tangential spatial derivatives have no boundary term, while the normal derivative contributes .
On a neighborhood of , write and , using the side extensions from [F1]. Apply the derivative formulas of step 1.1. The regular terms are the classical residuals on the two open sides, hence vanish by the given equations; the remaining interface term is . A partition of unity over the compact support of gives the same formula throughout .
If the coefficient vanishes on , the residual distribution is zero. Conversely, if it is nonzero at a point of , continuity of the traces gives a neighborhood on which one component has a fixed strict sign. A nonnegative compactly supported test in that interface patch, placed in the corresponding vector component, has a nonzero pairing with the residual, contradicting that it is the zero distribution. If is empty in the cylinder, the equivalence is vacuous. Thus the residual vanishes exactly when the vector Rankine–Hugoniot equality holds pointwise on .
Depends on
Planar shocks and piecewise smooth traces
Distributional systems and entropy flux pairs
Distributional derivative
A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not
Fubini's theorem for L^1 functions on a sigma-finite product
The integral of a nonnegative simple function
The nonnegative Lebesgue integral
Integrable real and complex functions, and their integrals
The Axiom of Countable Choice ()