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Weak and entropy solutions of the scalar conservation law
Definition
Assume (The Axiom of Countable Choice ()) for the actual Lebesgue measure foundation used by the bounded Borel weak/entropy class.
Write and let be two-dimensional Lebesgue measure on (Lebesgue measurable sets, the family , and the restricted set function ).
Every space-time expression written as below means the single signed Lebesgue integral over with respect to ; it is not an iterated-integral convention. The initial-data integral is with respect to one-dimensional Lebesgue measure . In (W) and (E), each integrand is Borel measurable, bounded, and supported in the compact support of the test function (or its initial trace). A compact support is contained in a bounded rectangle of finite Lebesgue measure, by A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included; monotonicity and homogeneity of the nonnegative integral give for such an integrand supported in (Monotonicity and nonnegative homogeneity of the nonnegative integral). Thus all displayed signed integrals are defined as Lebesgue integrals of integrable functions (Integrable real and complex functions, and their integrals).
A test function is a function of class up to the boundary: it is the restriction of a function on an open neighborhood of this closed half-space, and its support within the half-space is compact. No vanishing or continuation by zero for is required. Thus the trace may be nonzero. Derivatives at are the continuous one-sided derivatives. Write for this class; admissible means belonging to this class and nonnegative means on the half-space.
(a) Weak solutions. Let be bounded and Borel measurable (Extended-real-valued measurable functions) and let be bounded and Borel measurable. Then is a weak solution of
when
for every test function (Integral over a measurable subset, Integrable real and complex functions, and their integrals, The Lebesgue integral is linear on ). The integrals exist because are bounded and the test functions have compact support; the identity depends on and only through their almost-everywhere classes.
(b) Entropy pairs. An entropy pair is a pair of functions (The derivative of at a point that is a limit point of , and differentiability on a set) such that
the function is then called an entropy and its entropy flux. The entropy is convex when for all real and .
(c) Entropy solutions. A weak solution of (CL) is an entropy solution when, for every convex entropy pair with , the distributional inequality
holds, by definition meaning that
for every nonnegative test function .
(d) Riemann data. For reals the Riemann initial data are
Remarks
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The sign convention is fixed by (E): with the identity says that the distribution is a nonpositive measure. Under the opposite convention the inequality and the displayed integral would both flip sign; the two conventions are not mixed anywhere in this collection.
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The distinguished family of entropies used in the examples is , which is convex and only Lipschitz at , together with off and . Here for , for , and for . The identity holds off , and the pair is applied to piecewise solutions for which the distributional computation is carried out piecewise. The definition of a general entropy solution in (c) is stated for entropies; the piecewise application to is part of the corresponding theorem and is checked there.
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The definition asserts neither existence nor uniqueness of weak or entropy solutions, and no selection principle. Integrals are Lebesgue integrals over the stated domains and the test-function class is exactly as declared; evaluating a weak solution at pointwise is not part of the definition, only the initial term in (W).
Depends on
Euclidean maps and diffeomorphisms
Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point
Extended-real-valued measurable functions
Closure properties of measurable functions used by the integral
Integral over a measurable subset
Integrable real and complex functions, and their integrals
The Lebesgue integral is linear on
Lebesgue measurable sets, the family , and the restricted set function
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included
Monotonicity and nonnegative homogeneity of the nonnegative integral
The derivative of at a point that is a limit point of , and differentiability on a set
Intervals of : the nine order-convex forms, nondegeneracy, and length
The Axiom of Countable Choice ()
Dependency tree · 2 levels
Sources
- L. C. Evans, Entropy and Partial Differential Equations (lecture notes), Chapter V (conservation laws: weak solutions, entropy/entropy-flux pairs and the Lax entropy condition)
- W. Barsukow, Introduction to Conservation Laws: Theory and Numerics (lecture notes, TUM, Winter term 2021/22), Chapters 3–4 (weak solutions; non-uniqueness and entropy conditions, including the Kružkov condition)