🤖 AI Summary
This work addresses the construction of most general solutions for parameterized constraint formulas of the form ∃x₁…∃xₙ φ(x₁,…,xₙ,y₁,…,yₘ) within theories 𝒯 that admit elimination of specific existential quantifiers, where φ is a quantifier-free conjunction of literals and the yᵢ are parameters. By introducing conditional function symbols that capture “if-then-else” constructs, the authors generalize existing results on the existence of most general unifiers in discriminator clusters. Integrating parameterized constraint solving with algebraic semantic characterizations, they establish a unified framework for constructing most general solutions. This approach substantially broadens the scope of applicability compared to prior methods, and its effectiveness and generality are demonstrated through illustrative examples.
📝 Abstract
Let ${\cal T}$ be a theory allowing a form of elimination of existential quantifiers (possibly for formulae in a certain class). We analyze possibilities of constructing (most general) solutions w.r.t.\ ${\cal T}$ for formulae of the form $\exists x_1 \dots \exists x_n φ(x_1, \dots, x_n, y_1, \dots, y_m)$, where $φ$ is a quantifier-free conjunction of literals in the signature of ${\cal T}$, and the free variables $y_1, \dots, y_m$ are regarded as parameters. We show that in the presence of function symbols which describe ``{\sf if}-{\sf then}-{\sf
else}'' constructions in certain models of ${\cal T}$, we can describe the most general solution of such formulae, thus generalizing results about the existence of most general unifiers in discriminator varieties. We illustrate the ideas on examples.