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Lewy–Stampacchia distribution bound for bounded-coefficient obstacle forms
Statement
Assume Countable Choice and the Axiom of Choice (The Axiom of Countable Choice (), The Axiom of Choice), inherited through the existence, density, truncation and sign suppliers cited below. Let and let be a bounded open set of the two kinds of The closed convex obstacle set and the obstacle variational inequality: a bounded interval when , and a bounded domain when (Bounded C^k domains and boundary charts). Let be a real symmetric uniformly elliptic divergence-form operator with bounded measurable real coefficients and coercive form (Uniformly elliptic divergence-form operators and their sesquilinear forms), let , and let the real obstacle (The notation and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms) satisfy the additional hypothesis that its distributional image is represented by an function; put . Let solve the obstacle problem (Existence and uniqueness for the obstacle problem, Zero-boundary Sobolev space as a norm closure) with reaction on test functions (Obstacle complementarity in distribution form, Distribution, Test function space d of an open set). Then, in the sense of distributions, that is, is a nonnegative distribution bounded above by the function .
Facts & Assumptions
Given: The bounded open set of the two kinds above with ; a real symmetric uniformly elliptic divergence-form operator with bounded measurable real coefficients and coercive form of Uniformly elliptic divergence-form operators and their sesquilinear forms; and the functional ; the obstacle with represented by an function; ; the admissible set and the unique obstacle solution with reaction .
The closed convex obstacle set and the obstacle variational inequality, Existence and uniqueness for the obstacle problem: is nonempty and satisfies for every ; in particular almost everywhere on . The form is symmetric, bounded and coercive.
Uniformly elliptic divergence-form operators and their sesquilinear forms, The elliptic form is well defined and bounded on : the form is a well-defined bounded bilinear form on with , and for every and every the distribution pairs as ; the calculation below retains the bounded drift term, and does not require it to vanish.
Zero-boundary Sobolev space as a norm closure, Test function space d of an open set: is the closure of in the norm, so is dense in ; every class vanishing almost everywhere outside a compact subset of lies in : extend it by zero using Compactly supported Sobolev functions extend by zero in every integer order, approximate the extension by Compactly supported smooth functions are dense in W^{k,p}(R^n), and multiply the approximants by a fixed interior smooth cutoff equal to one near its support (Test function cutoffs and euclidean localization, Bounded restriction and cutoff localisation in Sobolev spaces). The resulting interior tests converge in .
Positive-part truncation calculus and admissible cut-off weak tests: truncations and compactly supported cutoff products have the stated / membership and gradient formulas. Its weak-test interface extends a local inequality to a cutoff test when the local source is in , and permits a global test when the source functional is continuous on ; it does not pair a general source with an arbitrary function.
Weak Leibniz rule with a smooth factor: for and the product lies in with a.e.
Uniformly elliptic divergence-form operators and their sesquilinear forms: uniform ellipticity gives a.e. for every real .
Dominated convergence: if measurable functions converge pointwise a.e. and are dominated in absolute value by one integrable function, their integrals converge.
A function with nonnegative test pairings is nonnegative a.e.: an class whose pairings with all nonnegative test functions are nonnegative is itself nonnegative almost everywhere.
The space as the quotient by null functions, Holder's inequality for integrals, including the endpoint cases: for and the product is in , and pointwise for every measurable set , with both classes in ; all pointwise statements are read on representatives and hold a.e. independently of the representative.
The reaction is a bounded functional on : boundedness of is [F2], and acts continuously by Cauchy--Schwarz and . Under the real specialization of The negative Sobolev space , this is exactly an source functional, so the global test-extension clause of [F4] applies.
Proof
Given: The setting above, the obstacle solution , the class , and the reaction functional defined on .
For every with a.e. one has , because and a.e. by [F1]; testing the variational inequality [F1] at gives .
The classes and satisfy and a.e. by [F1]. For every the definition of gives [F2]; both and are bounded linear functionals on — the first by [F2], the second because and — and they agree on the dense subspace [F3], so they agree on all of . Hence, for every , by bilinearity of and .
Testing the variational inequality at gives , that is or ; testing at , which is admissible because a.e., gives . Hence .
For put and ; these are the truncations of [F4] at the level , so with , on , and the indicator being restricted to because a.e. on the level set [F4]; moreover a.e. on .
Let with and let . The products and lie in by [F3] and [F5], and both are nonnegative a.e.: the first because and , the second because . The global H test clause of [F4] applies by [F10]; independently, [F1] states the obstacle variational inequality for every such competitor. Thus step 1.1 gives and ; by linearity and of step 1.3 the second inequality reads . Hence , and since , linearity gives .
Expanding the form and using [F5] and the decomposition of step 1.2, for every and one has
Fix with and abbreviate the five terms of step 2.2 as , , , , , so that by steps 2.1 and 2.2, with because a.e. by [F6]. As : by [F7], since a.e., , and a.e. on ; by [F7], since is integrable and the pointwise limit vanishes on via a.e. there; by [F7], since for and ; and by [F7], since is integrable [F9] and a.e. Therefore converges to , and gives ; with from step 1.1, .
The class lies in by [F9], and step 3.1 gives for every with ; by [F8] therefore a.e. on , that is a.e. on .
For every with one has because pointwise [F9], while steps 1.1 and 3.1 give ; hence for every nonnegative test function, which is precisely the distributional statement . Countable Choice is consumed through the existence theorem [F1], the density of in [F3] and the sign lemma [F8], and the Axiom of Choice through the ACL-based truncation calculus [F4] and the trace conventions of the obstacle setting [F1]; no further choice principle is used.
Source note
The cited article [OU] proves the Lewy–Stampacchia inequality in the entropy-solution class under a hypothesis that the obstacle’s positive part is bounded and without lower-order terms; it corroborates the principal-part case but is not used to justify the bounded drift and potential terms, which are handled here by the explicit truncation calculation above. The additional hypothesis that be represented by an function is what makes an honest object and the upper bound an function.
Depends on
- Obstacle complementarity in distribution form
- The Axiom of Choice
- Bounded C^k domains and boundary charts
- The closed convex obstacle set and the obstacle variational inequality
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Distribution
- The negative Sobolev space $H^{-1}(\Omega)$
- The notation $H^k$ and the reserved zero-boundary symbol
- The space $L^p(\mu)$ as the quotient by null functions
- Integer-order Sobolev spaces and their norms
- Test function space d of an open set
- Uniformly elliptic divergence-form operators and their sesquilinear forms
- Zero-boundary Sobolev space as a norm closure
- The elliptic form is well defined and bounded on $H^1$
- Compactly supported Sobolev functions extend by zero in every integer order
- Compactly supported smooth functions are dense in W^{k,p}(R^n)
- Test function cutoffs and euclidean localization
- Bounded restriction and cutoff localisation in Sobolev spaces
- A function with nonnegative test pairings is nonnegative a.e.
- Positive-part truncation calculus and admissible cut-off weak tests
- Weak Leibniz rule with a smooth factor
- Dominated convergence
- Existence and uniqueness for the obstacle problem
- Holder's inequality for integrals, including the endpoint cases
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