Löb's theorem states that, for a first-order theory with the stated provability and diagonalization properties,where . It does not require an extra consistency assumption.
By the diagonal lemma, choose with . necessitation rule and distribution applied to giveUsing positive introspection gives the unconditional theorem . If , it follows that , and the reverse fixed-point implication gives . Necessitating gives , hence and finally .
The same derivation also gives the Internal form of Löb's theorem, needed for modal soundness. Put . From the unconditional , propositional reasoning and the fixed point give . necessitation rule and distribution imply , and henceThis internal statement was derived without necessitating a temporary assumption.
Let and assume is consistent. The allowed arithmetizations of the previous equivalences giveSuppose . Its contrapositive is , and the Hilbert-Bernays-Löb derivability conditions then giveCombining with the two internal equivalences yields . Since contains , it would prove , contrary to the given Gödel second incompleteness theorem for this consistent extension. HenceTogether with the preceding implication, this is the Strict Gödel-to-Rosser implication under the stated consistency hypothesis.
The preceding Gödel sentence argument gives . The permitted arithmetized positive half of the Rosser sentence argument isPure first-order logic gives : if there is no proof of , each antecedent in its defining universal implication is false. ThereforeThis uses the supplied internal Rosser implication, rather than replacing an external nonprovability fact by an unproved internal first-order sentence.
If is inconsistent, it proves by explosion. Conversely, suppose is consistent and, towards a contradiction, has a proof of with standard code . Consistency excludes any proof of . In particular, for each , the closed bounded statement is true and is provable in by Sigma-1 completeness. The true bounded statement is also provable.
Using the given finite-numeral exhaustion below , these finitely many nonproof facts giveFor arbitrary , the given comparison splits into or . In the first case the antecedent is false. In the second case the known negative proof at code supplies the required witness . Hence provesThe Rosser sentence equivalence now gives , contradicting consistency. ThusOnly a fixed finite list of closed bounded facts was used; no assumption that the first-order theory is omega-consistent is needed.
Write and fix a refutable first-order sentence , so and . First prove the internal equivalenceBecause is provable, the derivability conditions give . The fixed-point equivalence therefore yields .
For the reverse implication, necessitating and applying distribution gives . positive introspection gives . Finally the provable implication , necessitated and distributed, givesConsequently , so . The same argument works with any chosen refutable first-order sentence in place of ; their formal consistency statements are provably equivalent.
By the classical deduction theorem for propositional logic applied to adjoining a first-order sentence, is consistent exactly when . The displayed equivalence makes and deductively equivalent. ThereforeNo soundness assumption on that extension is being substituted for consistency.
Write , with the corner notation understood as the numeral for the Gödel number. An arithmetical provability predicate numerates the theorems of in the standard natural numbers and satisfies the Hilbert-Bernays-Löb derivability conditions:The last two conditions are internal theorems, not rules authorizing reflection from to .
Here numerates the theorem set by the given assumption. If , its proof supplies a genuine natural-number witness, making a true Sigma-1 formula. Sigma-1 completeness gives , proving the first condition. The second condition is supplied explicitly. Since is itself a Sigma-1 formula, the given formalized Sigma-1 completeness yields , the third condition. Thus the specified existential proof predicate is an arithmetical provability predicate.
Given , choose the hyperplane divisors as in (a). The ratios form a linear subspace of by (d), and its dimension equals by (b). A linear subspace of a finite-dimensional vector space with the same dimension is the whole space. Hence for some homogeneous polynomial of degree , givingThe zero function corresponds to . Thus every allowed meromorphic function is a ratio of homogeneous polynomials of equal degree, with a denominator that can be chosen as a product of linear forms.
Write and . The numerator and denominator have the same homogeneous degree, so their ratio is well-defined on projective points away from its poles and extends as a meromorphic function on . Locally the pole order cannot exceed the zero order of , whose divisor is . Thus .
Equality of two ratios is equivalent to vanishing on . A nonsingular projective plane curve is irreducible: distinct positive-degree components would intersect by Bézout's theorem, producing a singular point. Its homogeneous vanishing ideal is therefore generated by its irreducible defining polynomial . One can also see this using Bézout's theorem: a homogeneous polynomial not divisible by has only finitely many intersections with , so cannot vanish on the whole curve. ConsequentlyMultiplication by the nonzero polynomial is injective. The linear map therefore has kernel and image dimensionThe assumption makes both polynomial-space dimensions applicable directly.
The monomials with nonnegative integers form a basis for the vector space of homogeneous polynomials of degree . For each , there are choices of . Hence
The divisor has degree . The hypothesis gives . A divisor of negative degree has no nonzero section: if , then would be effective, but its degree would be negative because the divisor of a meromorphic function has degree zero. Thus . The Riemann-Roch theorem now gives
A meromorphic function on a compact Riemann surface has finitely many poles, say of orders . For each , choose a projective line through it that does not contain . Its hyperplane divisor contains with multiplicity at least one. Include copies of this divisor. The sum then dominates the pole divisor of .
Add further arbitrary hyperplane divisors until their number satisfies and . Adding effective divisors cannot destroy the pole bound, so for we haveFor a constant function, including zero, no initial poles need to be covered; simply add sufficiently many lines.
Take and the chosen . Then , so , and . In affine coordinates the chosen lift becomesSince is a primitive cube root of unity, . Three iterations fix and , whereas one does not. ThusThe other square-root choice replaces this map by . Its cube is , so that lift has order six. This sign dependence is why a lift was specified explicitly.
Both fix the point at infinity. In the complex torus model their linear multipliers have order three or six, so the lattice is stable under a primitive cube root and hence under . Choose a shortest nonzero period . The triangular lattice has covering radius : its equilateral triangles of side one each have circumradius . Approximating any period divided by by this lattice leaves a strictly shorter period, which must be zero. ThereforeThus the cubic has the hexagonal lattice shape, independently of which of the two lifts is chosen.
At and , the chosen map isThe square is not the identity on the cubic, since a generic point has . Thus .
Choose the cubic's point as the origin in its complex torus description. Since fixes it, its torus form is , with . Exact order four implies ; . Therefore is stable under multiplication by .
To identify its shape without an unproved uniqueness assertion, choose a shortest nonzero period . For any , approximate by a Gaussian integer within distance . The difference belongs to and is shorter than , so it must vanish. HenceThe lattice is determined up to a nonzero complex scaling: it is square.
On the parameter, the two transformations are and . Their compositions yieldEvery step lifts to an invertible projective transformation of the corresponding cubic curves. Therefore all six parameter values give isomorphic curves. Some values coincide for special ; this does not affect the conclusion.
Compose the preceding transformations, applying first and then . With the square-root convention already specified,This invertible projective transformation fixes and carries to . It is important to retain the sign of the chosen lift on the coordinate when computing its order later.
An appropriate projective transformation isIt fixes and has an invertible representing matrix. For , , ,Hence its restriction is an isomorphism .
Choose with . Since , the invertible diagonal projective transformationfixes . Writing its image as , direct substitution givesThus it maps onto . Either choice of square root works. We choose at and at for the later order calculations.
Injectivity makes the images of any three distinct points distinct. By the ordered-frame result, there is a projective transformation agreeing with the given map on three chosen points. Composing by reduces to an injective map fixing those points and preserving every cross-ratio. Change coordinates so that the three points are .
For any other point with affine coordinate , the convention in the source givesPreservation therefore forces the image of to have the same coordinate . The normalized map fixes every point and is the identity. Undoing the normalization proves the original map is exactly , hence projective. No prior continuity or surjectivity assumption is needed.
Represent each point by a nonzero column . The source's cross-ratio isRescaling representatives cancels between numerator and denominator. If the projective transformation is represented by , then . Two factors of occur in both numerator and denominator and cancel. Hence the cross-ratio is invariant under every projective transformation.
Choose representatives of the first points. The general-position condition says that these vectors form a basis of . Write a representative of the last point as . Every is nonzero; otherwise the last point and the other basis points would lie in a hyperplane. Rescaling by gives representatives with . Normalize representatives of the second frame in the same way.
There is a unique invertible linear map with for . It also maps to , so its projectivization has the required effect. For uniqueness, the quotient of two candidate projective transformations fixes the normalized frame. A representing matrix must be diagonal in the basis, with entries . Fixing forces all to be equal. Such a scalar represents the identity projective transformation. Thus the ordered projective frame determines the transformation uniquely.
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