Alphabeta Math
Pipeline-generated
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.

✓ 2 results · all verified · 2 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full by a delegated reviewing agent on the owner's instruction; the judge is an additional, independent cross-model AI review of the proofs; all 2 also cleared it.

Nonlinear Tikhonov existence and stability — Examples and Counterexamples

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

None yet.

4 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

A nonlinear Tikhonov functional can have two global minimizers

Example

Let X=Y=R with the usual inner product, let U=R, and define F:U→Y by F(t)=t2. Take x0=0, y=1, and α=1. The domain U is weakly closed and, whenever tn converges weakly to t and F(tn) converges weakly to z, one has z=F(t); weak convergence means convergence under every bounded real-linear functional. The Tikhonov functional is

J(t)=12(t2−1)2+12t2(t∈R).

It has exactly two distinct global minimizers, t=1/2 and t=−1/2.

Facts & Assumptions

Given: X=Y=R with the standard real inner product and norm, U=R, F(t)=t2, x0=0, y=1, and α=1.

[F1]

The standard real inner product induces the usual norm, and R is complete for it; hence it is a real Hilbert space (Real and complex inner-product spaces and their induced length, The reals are complete, Hilbert space).

[F2]

Weak convergence is convergence under every bounded real-linear functional; in particular the identity functional shows that weak convergence in R implies ordinary convergence (Weak convergence of nets and sequences).

[F3]

A weakly closed forward map has weakly closed domain and sequentially weak-to-weak closed graph (Weakly closed nonlinear forward maps on Hilbert spaces).

[F4]

The nonlinear Tikhonov functional is 12∥F(t)−y∥2+α2∥t−x0∥2 (The nonlinear Tikhonov functional).

[F5]

A nonlinear forward map is a map from a nonempty norm-open subset of a real Hilbert space to a real Hilbert space; no linearity is assumed (Nonlinear forward maps between Hilbert spaces).

Verification

1.1givenF1F2F3F5algebra

The domain U=R is open and weakly closed. The map is nonlinear because F(1)+F(−1)=2≠0=F(0). If tn⇀t, [F2] gives tn→t, hence tn2→t2; if also F(tn)⇀z, applying [F2] to the output gives tn2→z, so uniqueness of real limits gives z=t2. Thus the graph has the required sequential weak-to-weak closure, and [F1, F5] identify this as an open-domain nonlinear forward map between real Hilbert spaces.

1.2givenF4algebra

By [F4] and the given parameters, J(t)=12(t2−1)2+12t2. Set u=t2≥0. Then J(t)=12(u−1)2+12u.

2.1step 1.2algebra∎

Completing the square gives J(t)=12(u−12)2+38. This is at least 3/8, with equality exactly when u=1/2, equivalently t=1/2 or t=−1/2. These two distinct points are therefore exactly the global minimizers.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

A Bochner-integral forward map with weakly closed graph

Example

Assume the ultrafilter lemma, dependent choice, and HB. Give Ω={0,1} its full sigma-algebra and probability measure μ(A)=∣A∣/2. For each s∈R, let gs:Ω→R be the simple function gs(0)=s, gs(1)=s2, and define F(s)=∫Ωgs dμ=(s+s2)/2. With X=Y=D=R and the usual real Hilbert structure, D is weakly closed and F is nonlinear; if sn⇀s and F(sn)⇀z, then z=F(s), where weak convergence in R means convergence under every bounded real-linear functional. For every α>0, x0,y∈R, its Tikhonov functional

Jα,y,x0(s)=12∣F(s)−y∣2+α2∣s−x0∣2

has a global minimizer on R.

Facts & Assumptions

Given: The ultrafilter lemma, DC, and HB; the finite set Ω={0,1} with μ(A)=∣A∣/2; the maps gs(0)=s, gs(1)=s2; and X=Y=D=R with the usual real Hilbert structure.

[A1]

The ultrafilter lemma extends every filter to an ultrafilter (The ultrafilter extension principle (UL/BPI)).

[A2]

DC supplies an infinite sequence following an everywhere-extendible relation (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

[A3]
[F1]

A measure is zero on the empty set and countably additive on disjoint measurable sets (Measures on sigma-algebras); a measure space consists of a set, sigma-algebra, and measure (Measure spaces).

[F2]

A measurable simple Banach-valued function g=∑jxj1Aj with finite-measure nonzero level sets is integrable and has integral ∫g dμ=∑jμ(Aj)xj (Banach-valued simple function and integral).

[F3]

An integrable simple Banach-valued function is Bochner integrable, with its Bochner integral equal to the simple integral (Bochner-integrable function, The Banach-valued simple integral is well defined).

[F4]

The real numbers with their standard inner product form a real Hilbert space (Real and complex inner-product spaces and their induced length, The reals are complete, Hilbert space).

[F5]

Weak convergence in a normed space is convergence under every bounded real-linear functional (Weak convergence of nets and sequences).

[F6]

The open-domain nonlinear forward-map interface permits any map F:U→Y on a nonempty norm-open set, without assuming linearity (Nonlinear forward maps between Hilbert spaces).

[F7]

Under the assumptions of [A1]–[A3], a real-Hilbert weakly closed forward map on a nonempty weakly closed domain has a global minimizer for every positive parameter and datum (Existence of a global nonlinear Tikhonov minimizer).

[F8]

The Tikhonov functional is 12∥F(s)−y∥2+α2∥s−x0∥2 on the domain (The nonlinear Tikhonov functional).

[F9]

DC implies countable choice, the principle that every countable family of nonempty sets admits a choice function (Dependent choice implies countable choice, The Axiom of Countable Choice (ACω)).

[F10]

A weakly closed forward map has a weakly closed domain and sequentially weak-to-weak closed graph (Weakly closed nonlinear forward maps on Hilbert spaces).

Verification

1.1givenF1F2F3algebra

The assignment μ(A)=∣A∣/2 is a measure: it is zero on ∅, and any disjoint sequence of subsets of the two-point set has at most two nonempty members, so cardinalities, hence measures, add over the union. For s∉{0,1}, the two singleton level sets of gs have distinct nonzero coefficients s,s2 and measure 1/2 each. For s=0, use the empty representation of the zero function; for s=1, use g1=1Ω. In all cases [F2] gives an integrable simple function with integral 12s+12s2, and the constant approximating sequence in [F3] gives the same Bochner integral. Since F(1)=1, F(−1)=0, and F(0)=0, it fails additivity and is nonlinear.

1.2givenF5algebra

The domain D=R is the entire weak topology space and is therefore weakly closed. If sn⇀s, [F5] applied to the identity functional gives sn→s in the usual real topology. The factorization F(sn)−F(s)=12(sn−s)(1+sn+s) shows F(sn)→F(s), because convergence of sn makes the second factor bounded. If also F(sn)⇀z, [F5] gives F(sn)→z; uniqueness of real limits yields z=F(s). Thus the graph is sequentially weak-to-weak closed.

2.1A1A2A3F4F6F7F8F9F10step 1.2construct∎

The domain U=R is norm-open and nonempty, so [F6] confirms that this is also a forward map in the batch-25 open-domain convention. The graph and domain conditions just verified satisfy [F10]; with the real-Hilbert structure [F4] and axioms [A1]–[A3], they meet the hypotheses of [F7]. The DC-to-countable-choice consequence [F9] is the selection strength used in that theorem's proof. By [F8] this is the stated functional, so for every α>0, x0,y∈R it attains a global minimum.

Sources