How statement and proof provenance work
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Constrained Variational Problems and Variational Inequalities — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Banach Valued Integration and the Radon Nikodym Property
- Banach-Space Differential Calculus and Banach Manifolds
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Bounded Variation and the Riemann–Stieltjes Integral
- Compact Operators and Riesz Schauder Theory
- Compact Self Adjoint Hilbert Schmidt and Trace Class Operators
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Complexification, Realification and Real Structures
- Constrained Variational Problems and Variational Inequalities
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Convex and Semicontinuous Functions on Rⁿ
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Fredholm Elliptic Problems and the Elliptic Spectrum
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Geometric Hahn Banach and Convex Separation
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Interior and Boundary Sobolev Elliptic Regularity
- Lax--Milgram and Weak Elliptic Solutions
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monadicity and Beck's Theorem
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Reflexivity and Eberlein Smulian
- Relations, Functions, and Quotients
- Rellich Kondrachov and Sobolev Compactness
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Schwartz Space and the Plancherel Theorem
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Approximation and Sobolev Extension
- Smooth Partitions of Unity and Exhaustions
- Sobolev Poincare and Morrey Inequalities
- Sobolev Traces and Zero Boundary Values
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Direct Method and Euler--Lagrange Equations
- The Duality of Lᵖ and L^q
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Trigonometric and Oscillatory Examples in One Variable
- Unbounded Self Adjoint Operators and Stones Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
- Weak Derivatives and Sobolev Spaces
- Weak Elliptic Maximum Principles and Holder Regularity
2 · Summary
These companions compute the page's two constraint mechanisms on explicit problems and show by witness that each hypothesis is load-bearing.
On the equality-constraint side, the isoperimetric problem on an interval minimises the Dirichlet energy subject to a prescribed integral: the minimiser is the parabola and its Lagrange multiplier is the constant , computed from a complete weak integration-by-parts argument. The finite-dimensional counterexample with the dependent constraints and shows that without independence of the constraint gradients the stationarity equation is satisfied by a whole line of multiplier vectors, so the uniqueness clause of the multiplier lemma genuinely needs surjectivity.
On the convex-constraint side, the one-dimensional obstacle problem with the parabolic obstacle is solved in closed form: the contact set is the interval with , the solution is the parabola on the contact set and the linear function off it, and the reaction is the density of mass , carried by the contact set and with no atom at the free boundary. Two counterexamples surround it: the admissible set can be empty when the trace of the obstacle is incompatible with zero boundary values, and the complementarity product is not well defined for an class alone, because the value of at a point charged by a Dirac measure depends on the chosen representative.
Finally, the interval computation makes the constrained eigenvalue problem explicit: on the energy minimiser on the -unit sphere is , the minimum is , and the weak eigenvalue equation holds with zero boundary values. The infinite-dimensional counterexample that the unit sphere of a Hilbert space is not weakly sequentially closed explains why the norm constraint in these minimisations is recovered in the limit from strong compactness rather than from weak closedness of the sphere. Choice principles are inherited from the main page's suppliers and declared per item. The explicit Rayleigh computation uses only Countable Choice through the sharp interval inequality. The integral-constraint and obstacle computations inherit AC from the trace and representative interfaces; AC also supplies the Countable and Dependent Choice required by integration by parts. The sphere and Sobolev-product counterexamples assume AC through their orthonormal-family and ACL suppliers, respectively, while the dependent-constraint calculation uses no choice principle.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The Rayleigh quotient on an interval
Example
Assume the Axiom of Choice, the ultrafilter lemma, DC and HB (The Axiom of Choice, The ultrafilter extension principle (UL/BPI), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain, The real dominated-extension principle as an additional hypothesis over ZF), inherited from The first Dirichlet eigenfunction by constrained minimisation; the explicit computation below consumes only Countable Choice, through The sharp Dirichlet Poincare inequality on an interval. On the constrained minimisation of The first Dirichlet eigenfunction by constrained minimisation is explicit: a minimiser of on the -unit sphere is , the minimum is , and the weak eigenvalue equation is with .
Facts & Assumptions
Given: The interval , the energy on , the unit sphere (The notation and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms, Zero-boundary Sobolev space as a norm closure), and .
The sharp Dirichlet Poincare inequality on an interval: with and , every satisfies , the function attains equality, and for every .
The second fundamental theorem: if is differentiable on with and is integrable, then : for every , choose with near ; applying the fundamental theorem to on gives . Thus the classical derivative is also the weak derivative.
Explicit compactly supported smooth cutoffs: in dimension one there is with , on , and outside ; for every , the dilate has derivative . The construction requires no choice.
Double-angle and quadratic power-reduction identities, The second fundamental theorem: if is differentiable on with and is integrable, then , The derivatives of sine and cosine are cosine and minus sine, Integrable functions on form a set closed under sums and scalar multiples, and , Pi is the first positive zero of sine: and ; ; and the fundamental theorem of calculus applied to gives , since the integral is linear.
The first Dirichlet eigenfunction by constrained minimisation: on a nonempty bounded open set, attains its infimum on , and every minimiser satisfies for all with .
Verification
Given: The interval, the energy and the function above.
The function is smooth on , with classical derivative by [F2]. For each test function , integration of over an interior interval containing its support gives [F3], so is its weak derivative; both and are bounded, hence . Take from [F4] and put . For integers , define . Then , on , , and both and are supported in . On , , while everywhere; since , these bounds give and . Hence in , and the closure definition of gives . Finally because [F5].
Normalisation and energy: by the power-reduction identities and the vanishing of [F5], and ; hence , so , and .
Minimality: for every the sharp inequality [F1] gives , that is ; since with by step 2.1, the infimum over is the minimum , attained at .
Weak eigenvalue equation: the weak identity of [F1] for scales by to for every , and by [F2] classically with ; thus holds in the weak sense, with as the eigenvalue.
Steps 1.1-4.1 exhibit the minimiser, the minimum and the eigenvalue equation explicitly, so the constrained minimisation of [F6] on has as a minimiser with , in agreement with the general statement; the only choice principle consumed by this computation is Countable Choice through the sharp interval inequality [F1].
An integral constraint and its constant multiplier
Example
Assume the Axiom of Choice (The Axiom of Choice), inherited from the trace and Hilbert multiplier suppliers. On minimise over subject to the integral constraint , where . The minimiser is and the Lagrange multiplier of The Lagrange multiplier rule for one regular constraint in Hilbert space, in the convention with , is the constant .
Facts & Assumptions
Given: The Axiom of Choice and a real number , the space with its weak derivative and norm (The notation and the reserved zero-boundary symbol, Integer-order Sobolev spaces and their norms, Zero-boundary Sobolev space as a norm closure), the functional and the constraint .
The Axiom of Choice, AC implies DC implies countable choice: the assumed Axiom of Choice supplies Dependent and Countable Choice for the integration and trace suppliers.
is a Hilbert space under the derivative-sum inner product, A closed subspace of a Banach space is Banach, Zero-boundary Sobolev space as a norm closure, Endpoint trace commutes with Sobolev truncation on an interval, One-dimensional functions have unique absolutely continuous representatives: for and , the endpoint trace is well defined and ; the closure defining is a closed linear subspace of the real Hilbert space , hence complete for the restricted derivative-sum inner product and itself a real Hilbert space; a class in has an absolutely continuous representative on with at both endpoints and with almost everywhere.
Classical derivatives agree with weak derivatives: a function on has its classical derivative as weak derivative; in particular and the affine function are weakly differentiable with and .
The second fundamental theorem: if is differentiable on with and is integrable, then , For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , The Lebesgue integral is linear on : the fundamental theorem of calculus applied to the antiderivatives and , whose derivatives are and , gives and , and the integral is linear, so .
Integration by parts for absolutely continuous functions: for absolutely continuous on , .
Fréchet derivative between Banach spaces, Holder's inequality for integrals, including the endpoint cases: for one has , and ; hence with . Similarly is continuous affine, with bounded linear derivative for every , and , so is with this derivative at every point.
The Lagrange multiplier rule for one regular constraint in Hilbert space: if is a local minimiser of on the level set and , then there is a unique with .
Fundamental theorem of calculus for absolutely continuous functions: an absolutely continuous function whose derivative vanishes almost everywhere is constant.
Verification
Given: The Axiom of Choice, the number , the function on , and the functionals and above.
The polynomial is smooth on with ; its class on is absolutely continuous with weak derivative by [F2], and its endpoint trace vanishes, so by [F1]. Moreover by [F3], so is admissible.
For every the derivative formulae are and by [F5]; in particular is a nonzero bounded functional, because by step 1.1, so the constraint is regular.
We compute for every : by [F1] the absolutely continuous representative vanishes at both endpoints and , so [F4] applied to and gives ; multiplying by gives , hence the displayed identity. Thus .
Let satisfy the constraint ; then by step 1.1, and [F5] gives by step 3.1, because ; hence , with equality exactly when .
If , then has weak derivative , so its absolutely continuous representative is constant by [F7] and [F1]; that constant is because has vanishing trace, so and . Therefore is the unique admissible minimiser, in particular a local minimiser, and the multiplier rule [F6] applies with the regular constraint ; comparing its conclusion with the identity of step 3.1 and the fact that gives the unique multiplier . This proves the example.
The L^2 unit sphere is not weakly sequentially closed in infinite dimensions
Statement refuted
Refuted: that the unit sphere of an infinite-dimensional real Hilbert space is weakly sequentially closed — equivalently, that norm closedness and norm boundedness of a subset of a Hilbert space force weak sequential closedness (Weak convergence of nets and sequences).
Assume the Axiom of Choice (The Axiom of Choice). The witness works in every infinite-dimensional real Hilbert space, for instance (Hilbert space). There is norm closed and norm bounded, yet an orthonormal sequence satisfies while , so is not weakly sequentially closed. In particular the direct method for minimisation cannot be applied to the unit sphere by weak closedness alone; the repair used for the eigenvalue problems below is the strong compactness of Weak H^1 convergence plus Rellich preserves the L^2 unit normalisation. By Weak closure of the unit sphere is the closed unit ball (which assumes the Hahn–Banach extension principle, available under our Axiom of Choice hypothesis through Hahn-Banach dominated extension theorem for real vector spaces) the weak closure of is exactly the closed unit ball of .
Facts & Assumptions
Given: An infinite-dimensional real Hilbert space (assumed to admit no ordered basis of finite length), with the Axiom of Choice available.
The Axiom of Choice, The Axiom of Countable Choice (), AC implies DC implies countable choice: the Axiom of Choice implies Countable Choice, so the countable-selection and maximal-family suppliers below apply.
Existence of a maximal orthonormal family, and maximality as completeness: contains an orthonormal set maximal under inclusion, and an orthonormal set is maximal exactly when it is complete, that is, when its closed linear span is (Orthonormal families, complete orthonormal systems and Hilbert bases).
A finite-dimensional normed subspace is closed, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis: the linear span of a finite set is finite dimensional and closed in , so if a complete orthonormal set were finite, its span would already be the closed linear span and would admit an ordered basis of finite length.
The infinite set admits a sequence of distinct elements under the Axiom of Choice; the finite-tuple recursion establishing this fact is given in step 3.1.
Orthonormal families, complete orthonormal systems and Hilbert bases: a subset of an orthonormal family is orthonormal; in particular and for .
The Bessel inequality for an arbitrary orthonormal family: for every the family has finite sum .
Riesz representation for Hilbert spaces: every bounded linear functional on has the form for a unique .
Weak convergence of nets and sequences: means for every bounded linear functional .
The reverse triangle inequality in a normed space, For a map of spaces the following agree: continuity at every point, preimages of open sets open, preimages of closed sets closed, preimages of subbasic open sets open, and : , so the norm is continuous and preimages of closed sets under it are closed.
Counterexample
Given: An infinite-dimensional real Hilbert space and the unit sphere .
By [F1] choose a maximal, equivalently complete, orthonormal set .
The set is infinite: were finite, its linear span would be finite dimensional and closed by [F2], and completeness would force it to equal the closed linear span of , namely ; then would admit an ordered basis of finite length, contrary to the hypothesis.
Let be the nonempty set of all finite tuples of distinct elements of , including the empty tuple. Every tuple has an extension by one new element because its range is finite and is infinite. The Axiom of Choice in [A1] selects one such extension for each tuple in . Starting with the empty tuple, iterate this fixed extension function recursively over ; the successive appended elements give distinct . This proves [F3] locally. By [F4], is orthonormal, so and for every .
We claim . Fix ; by Bessel's inequality [F5] the series has finite sum, so its terms tend to , that is . Given a bounded linear functional , write by [F6]; then , which by the definition of weak convergence [F7] is exactly .
The set is norm closed, because is the preimage of the closed singleton under the continuous norm [F8], and it is norm bounded because for every . Since for every by step 3.1 while because , and by step 4.1, the sphere is not weakly sequentially closed; the refuted claim is therefore false.
Remarks
-
The weak closure is much larger than : by Weak closure of the unit sphere is the closed unit ball it is the closed unit ball , which contains and every point of the open unit ball. The maximal orthonormal family used above exists in every Hilbert space under the Axiom of Choice; on the concrete space the standard basis itself is the orthonormal sequence (The standard basis of ), and no maximal-family argument is needed.
-
Why compactness replaces closedness. A bounded sequence in an infinite-dimensional Hilbert space need not have a strongly convergent subsequence, but Weak H^1 convergence plus Rellich preserves the L^2 unit normalisation shows that weak convergence plus Rellich compactness nevertheless preserves the normalisation along a subsequence, which is the substitute used in the eigenvalue problems of this page.
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.
The complementarity product needs extra regularity
Statement refuted
Refuted: that for every open , every and every nonnegative Radon measure on (Radon measure on an LCH space, Integer-order Sobolev spaces and their norms) the product is a well-defined distribution on by the formula . This is the unrestricted class-level product claim; the obstacle corollaries impose continuity or representation to define their products (Obstacle complementarity in distribution form, The obstacle reaction is supported on the contact set under measure regularity).
Assume the Axiom of Choice (The Axiom of Choice), inherited from the ACL supplier. In dimension the function , extended by a constant outside a neighbourhood of , lies in but is unbounded near , so it has no continuous representative there. For the nonnegative Radon measure the calculation of the pairing requires a representative and returns or for two representatives of the same class; changing the value at the single point changes the result, so the product is not a well-defined distribution. In contrast, the multiplication of a distribution by a smooth function is well-defined (Multiplication of a distribution by a smooth function), because a smooth multiplier carries genuine pointwise values. The Dirac measure in this witness is not asserted to be the reaction of an obstacle solution; the witness refutes multiplication by arbitrary Radon measures from the Sobolev class alone.
Facts & Assumptions
Given: The Axiom of Choice, inherited from the ACL supplier, and the open ball (Open ball, closed ball and sphere in a metric space), the function with for , for , and ; the Dirac measure on (The Dirac set function at a point).
Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma: the polar surface measure is a finite Borel measure on and for every Borel measurable ; a radial integrand gives an inner integral .
Change of variable in an improper integral, The improper -test for rational exponents, Comparison tests for improper integrals, The exponential dominates every fixed nonnegative integer power at : the monotone substitution exchanges with whenever either side converges; converges with value ; and for every prescribed polynomial growth there is with for , so for large because there.
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t, For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when : for .
The ACL characterisation of , The space as the quotient by null functions: a class in lies in if and only if it has a measurable ACL representative whose classical coordinate derivatives exist almost everywhere, are measurable, and lie in .
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: a continuous real function on a compact metric space is bounded.
Euclidean balls have positive finite Lebesgue measure, Every at most countable subset of is Lebesgue null; in particular , Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume: a Euclidean ball has positive finite Lebesgue measure, singletons are Lebesgue-null, and Lebesgue measure is additive on disjoint measurable sets, so a punctured ball has positive measure.
A Dirac set function is a probability measure, The Dirac set function at a point, A nonnegative integral over a null set vanishes, Measure-null sets and almost-everywhere statements relative to a measure, Radon measure on an LCH space: is a probability measure on with and , so is -null. For a finite-valued Borel measurable real or complex , the function vanishes at and its absolute value has integral over , by the null-set integral principle on . Thus is -integrable and . It is a Radon measure: on compact sets, and for open one has if (witnessed by the compact set ) and otherwise, while for Borel the same alternatives give outer regularity.
Test function cutoffs and euclidean localization: there is with and on a neighbourhood of , in particular .
Counterexample
Given: The Axiom of Choice and the ball and the function of the setting above.
The function is continuous on : there is continuous and positive, so is continuous on the punctured inner ball, and equals the constant on the outer annulus, with matching limiting value at . Moreover as , because and as ; hence for every there is with whenever .
For , rationalising the norm difference gives as , hence . On the punctured inner ball the chain rule [F3] gives , so ; on the gradient vanishes. The joining circle is Lebesgue-null by [F1] applied to its indicator, since the radial integral is supported at ; the origin is null by [F6]. Define the gradient to be zero on these exceptional sets. By polar coordinates [F1], the substitution [F2] and the convergence facts there, the first integral converging because for all large and the remaining compact piece is finite. Hence and its classical gradient lies in .
The function is Borel measurable, since it is continuous on the open set ; along almost every coordinate line — all lines except the single line through in each of the two coordinate directions — the section is continuous and piecewise with bounded derivatives on each compact subinterval away from (the joining circle meets a coordinate line in at most two points), hence Lipschitz and absolutely continuous there, and the exceptional lines form a null set. By step 1.2 the classical coordinate derivatives exist almost everywhere, are measurable and lie in , so the ACL characterisation [F4] gives and identifies with the classical gradient almost everywhere.
The class of has no continuous representative. Suppose were continuous with almost everywhere. On the compact ball the function is bounded, say [F5]. By step 1.1 choose with for all ; the punctured ball has positive Lebesgue measure [F6], so it contains a point with , contradicting .
The functions and (that is, and for ) are both representatives of the same class, because they differ only on the Lebesgue-null singleton [F6, F4].
By [F7], is a nonnegative Radon measure on the locally compact space and ; let with be the cutoff of [F8]. Evaluating the formula with the representative gives , while evaluating it with gives ; the two candidates differ by the nonzero distribution . Hence the formula is not independent of the representative of the class, and no distribution is defined by it: the product is not a well-defined distribution of the class alone.
Consequently an class alone does not define its product with an arbitrary Radon measure. Sufficient hypotheses supplied by the obstacle corollaries are continuity of the representatives, as in The obstacle reaction is supported on the contact set under measure regularity, or the representation of the reaction, as in clause 2 of Obstacle complementarity in distribution form; neither follows from (and the class here has no continuous representative by step 2.2). This contrasts with Multiplication of a distribution by a smooth function, where the multiplier is a genuine function and the product is representative-independent.
The obstacle admissible set can be empty when trace and obstacle are incompatible
Statement refuted
Refuted: that after omitting the trace-compatibility hypothesis from The closed convex obstacle set and the obstacle variational inequality, the set is automatically nonempty for every real . The definition itself retains that hypothesis and has the admissible element ; the assertion refuted here concerns arbitrary obstacle data without boundary compatibility.
Assume the Axiom of Choice (The Axiom of Choice), inherited from the trace suppliers. The witness is the interval with the incompatible obstacle datum (Endpoint trace commutes with Sobolev truncation on an interval). If , the unique absolutely continuous representative satisfies at every point of : a strict violation at one point would, by continuity, persist on an interval of positive measure, contradicting almost everywhere. But has zero endpoint trace, , so , a contradiction. Hence , and boundary compatibility ( in the sense of the definition) is necessary for nonemptiness. [The obstacle satisfies .]
Facts & Assumptions
Given: The interval , the incompatible obstacle datum , and the admissible set .
Endpoint trace commutes with Sobolev truncation on an interval: for and , is well defined and linear with ; a class therefore has endpoint trace .
One-dimensional functions have unique absolutely continuous representatives: every has a unique continuous absolutely continuous representative on , and the endpoint trace is .
The closed convex obstacle set and the obstacle variational inequality: the definition requires before defining its admissible set. Here the same set formula is used for arbitrary real data, without imposing that compatibility condition; is outside the definition's permitted obstacles.
Counterexample
Given: The interval , the incompatible obstacle datum and the set above; suppose, towards the case analysis, that .
Since almost everywhere and is continuous with almost everywhere [F2], the representative satisfies for every : if at some point, then by continuity on the intersection of with a sufficiently small interval about , which has positive measure even when is an endpoint, contradicting a.e.
On the other hand by the definition of and [F1, F3], and the endpoint trace of the class is read from its absolutely continuous representative, so [F2]. This contradicts step 1.1, which gives and .
More generally, if and obeys a.e., then as a class, so [F1] gives . Since , necessarily . No satisfies both requirements of membership in , so . Since , this is exactly the failure of the boundary compatibility hypothesis of [F3]; hence that hypothesis (equivalently ) is necessary for the admissible set to be nonempty.
Dependent equality constraints have nonunique multiplier vectors
Statement refuted
Refuted: that the multiplier vector produced by the Lagrange multiplier rule is unique without any independence hypothesis on the constraint derivatives — equivalently, that the conclusion of The multiplier vector is unique when the constraint gradients are independent remains true when surjectivity of is dropped.
The witness is the finite-dimensional problem , and (The Lagrange multiplier rule for finitely many regular constraints, Fréchet derivative between Banach spaces). On the level set , which is the -axis, the point is the strict global minimiser of , and , while and are linearly dependent, so is not surjective. The stationarity equation holds exactly for the pairs with , a one-parameter family of multiplier vectors. Hence surjectivity of , equivalently independence of the constraint gradients, is what makes the multiplier unique.
Facts & Assumptions
Given: The maps , , and , , with components , , and the point .
Fréchet derivative between Banach spaces: and the components are differentiable everywhere with as a linear functional, and , and is the linear map .
The Lagrange multiplier rule for finitely many regular constraints, The multiplier vector is unique when the constraint gradients are independent: the multiplier rule asserts the existence of multipliers when is surjective, and the uniqueness lemma shows that surjectivity is precisely the hypothesis that rules out the degeneracy exhibited here.
Counterexample
Given: The maps and point above.
The level set is the -axis, and with equality only for ; hence is the strict global minimiser of on the level set.
The derivatives at are , and by [F1]; the map has image , so is not surjective, and shows that the two constraint gradients are linearly dependent.
A pair satisfies exactly when , that is, exactly when ; the solution set is the line of all pairs , , a one-parameter family.
The stationarity equation therefore holds for infinitely many multiplier vectors although the constrained minimiser is unique, so the claim that uniqueness of the multiplier follows from stationarity alone is false; the uniqueness statement of [F2] genuinely requires the surjectivity, equivalently the independence, hypothesis.
The one-dimensional obstacle reaction is supported on the contact set
Example
Assume the Axiom of Choice and Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()), inherited from the obstacle example. In A one-dimensional obstacle problem and its contact set, the solution lies in with on and on the noncontact set . The reaction distribution of Obstacle complementarity in distribution form equals : it is represented by the nonnegative density , has mass , and has no atom at the free boundary points because is continuous there.
Facts & Assumptions
Given: The obstacle example A one-dimensional obstacle problem and its contact set with , , , the obstacle , the solution for and for , and the reaction on test functions (Distribution, Test function space d of an open set, Distributional derivative).
A one-dimensional obstacle problem and its contact set: is the unique obstacle solution on ; it is on with for , for , for , and its slopes match the obstacle at ; the contact set is .
Classical derivatives agree with weak derivatives, Integer-order Sobolev spaces and their norms: the classical derivative of a function is its weak derivative, and consists of the classes in with first and second weak derivatives in .
Integration by parts for absolutely continuous functions: for absolutely continuous on , .
Obstacle complementarity in distribution form: the reaction of the solution is the distribution on , here with .
Every at most countable subset of is Lebesgue null; in particular , A nonnegative integral over a null set vanishes: countable subsets of are Lebesgue-null and the integral of a nonnegative measurable function over a null set vanishes; for the pairing against the density is .
The space as the quotient by null functions: is an , hence , class determined up to null sets, and the pairing depends only on this class.
Verification
Given: The explicit solution and the reaction functional above.
By [F1] the derivative equals on , on and on ; it is continuous and piecewise affine on with matching one-sided values, hence Lipschitz and absolutely continuous, and its a.e. derivative is on and on . For each compactly supported smooth test , [F3] gives , proving that this a.e. derivative is the weak derivative of . Since , [F2] gives with weak second derivative ; in particular on the contact interval and on the noncontact set.
For every integration by parts [F3] applied to the absolutely continuous and the smooth compactly supported gives , the endpoint terms vanishing because is compactly supported; by step 1.1 the right-hand side equals . Hence the reaction is represented by the density on all test functions.
The density is nonnegative and lies in [F6]; its total mass is . Since the free boundary points form a Lebesgue-null set, the pairing against assigns them value zero, so the reaction has no atom at ; concretely for every test function by [F5].
Steps 1.1, 2.1 and 3.1 prove all the asserted properties: with on and on the noncontact set, the reaction is represented by the nonnegative density , its mass is , and it gives the Lebesgue-null set the value , because the continuous derivative produces no boundary contribution at the free boundary points in the integration by parts.
Sources
- Riccardo Cristoferi, Calculus of Variations: Lecture Notes, Carnegie Mellon University 2016 (complete 133-page notes)
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations: Lecture Notes (arXiv:1203.2344, complete monograph)
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2026 author manuscript; complete 392-page archived text)
- John Andersson, The Obstacle Problem, KTH lecture notes, 16 December 2015 (complete 52-page notes)