How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A one-dimensional obstacle problem and its contact set
Example
Assume the Axiom of Choice, which supplies Countable and Dependent Choice (The Axiom of Choice, AC implies DC implies countable choice). Let , , , and with . By Endpoint trace commutes with Sobolev truncation on an interval, . Then the obstacle solution of Existence and uniqueness for the obstacle problem on is The contact set is , the noncontact set is , and is the admissible competitor whose slopes match the obstacle at the free boundary points: .
Facts & Assumptions
Given: The interval , the form , , the energy , the obstacle with , the admissible set of The closed convex obstacle set and the obstacle variational inequality, and .
The closed convex obstacle set and the obstacle variational inequality, Existence and uniqueness for the obstacle problem: is nonempty and has exactly one minimiser on , which is the unique solution of the obstacle variational inequality; the form is symmetric and for all , .
Endpoint trace commutes with Sobolev truncation on an interval, One-dimensional functions have unique absolutely continuous representatives: the endpoint trace is the endpoint pair of the unique absolutely continuous representative, , and every class in has an absolutely continuous representative on vanishing at whose derivative equals the weak derivative almost everywhere. The continuous function is its own absolutely continuous representative, so .
AC implies DC implies countable choice: the Axiom of Choice implies Dependent Choice, which implies Countable Choice.
Integration by parts for absolutely continuous functions: for absolutely continuous on , .
Classical derivatives agree with weak derivatives, Sums, scalar multiples, products and quotients: , , , and when : the classical derivatives of the pieces below are the corresponding weak derivatives, and ; a continuous function on that is on the pieces and with matching one-sided derivatives is on , hence absolutely continuous.
Fundamental theorem of calculus for absolutely continuous functions: an absolutely continuous function with vanishing derivative almost everywhere is constant.
Coercivity of the principal Dirichlet form: on the bounded interval, the model principal form is bounded and coercive with respect to the norm; thus the form hypotheses of [F1] hold.
Verification
Given: The data above, in particular and .
By [F7] the principal form is bounded and coercive. Put , so and ; from one gets , hence and .
Define for and for . At the two formulas agree by step 1.1, and the one-sided derivatives agree as well because the inner derivative is with and the outer derivative is ; hence is on by [F5], with and . Therefore with weak derivative and , so by [F2]. Finally on , while for one has by step 1.1; hence on with equality exactly on , so and .
The derivative equals on , on and on ; it is continuous and piecewise affine, hence Lipschitz and absolutely continuous on , with a.e. on and a.e. on . Let and let be represented by its absolutely continuous representative vanishing at , which exists by step 2.1 and [F2]. Applying integration by parts [F4] to and gives , that is .
Since one has a.e. on [F1], and on by step 2.1, so the representative of step 3.1 satisfies a.e. on and .
For every , [F1] expands with ; by steps 3.1 and 4.1 this equals . Hence minimises on .
If satisfies , then both nonnegative terms in step 5.1 vanish, so and a.e.; the absolutely continuous representative of is then constant by [F6], and its endpoint values (it lies in ) force that constant to be . Hence a.e. and : the minimiser is unique.
By [F1] the obstacle problem has exactly one minimiser on and it is the unique solution of the variational inequality; steps 4.1 and 5.1 identify this minimiser with the explicit , so is the obstacle solution. Step 2.1 gives the contact set and the noncontact set , and step 1.1 gives the matching slopes at the free boundary. The Axiom of Choice enters through the obstacle setting and the trace lemma [F1, F2], and it supplies the Countable and Dependent Choice consumed by the integration by parts [F3, F4]; no further choice principle is used.
Depends on
- One-dimensional $W^{1,p}$ functions have unique absolutely continuous representatives
- The Axiom of Choice
- The closed convex obstacle set and the obstacle variational inequality
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- The notation $H^k$ and the reserved zero-boundary symbol
- Integer-order Sobolev spaces and their norms
- Zero-boundary Sobolev space as a norm closure
- Classical derivatives agree with weak derivatives
- Coercivity of the principal Dirichlet form
- Endpoint trace commutes with Sobolev truncation on an interval
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- AC implies DC implies countable choice
- Existence and uniqueness for the obstacle problem
- Fundamental theorem of calculus for absolutely continuous functions
- Integration by parts for absolutely continuous functions
Used by
Dependency tree · two levels
95 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John Andersson, The Obstacle Problem, KTH lecture notes, 16 December 2015 (complete 52-page notes) (standard reference, not scraped)