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A Boolean circuit is a finite directed acyclic graph of Boolean gates with designated inputs and outputs.

A Boolean formula is a finite expression built from Boolean variables and Boolean operations. A choice of truth values determines its value. The Boolean satisfiability problem asks whether some choice makes it true.

A Boolean operation is a Boolean function taking truth values encoded as bits: $0$ means false and $1$ means true. These operations supply the concrete two-valued interpretation of a Boolean algebra. A Boolean valuation fixes the inputs; a truth table lists every possible input. With two input bits there are four rows.

The basic logical connectives are logical conjunction (AND, $P\wedge Q$, both true), logical disjunction (OR, $P\vee Q$, at least one true), exclusive or (XOR, $P\oplus Q$, exactly one true), and logical negation (NOT, $\neg P$, the opposite value). OR is inclusive: it accepts the case where both inputs are true.^[ref]

For an original program-condition example, let $P$ mean “the backup is recent” and $Q$ mean “the backup is verified”. A rule requiring a recent, verified backup uses logical conjunction; one accepting either qualification uses logical disjunction. A rule flagging a mismatch between the two qualifications uses exclusive or. A recent, verified backup gives $(P,Q)=(1,1)$: AND and OR accept it, while XOR does not flag it. The last row of the truth table makes this difference explicit.

The same small Boolean operations build larger tests and Boolean circuits. In a programming language, the value of a condition and the procedure for evaluating it both matter. For Boolean operands, Python's and, or, and not implement these logical connectives. Evaluation proceeds from the left; and skips its right operand if the left is false, and or skips it if the left is true. More generally, and and or return an operand, whereas not returns a Boolean.^[ref]

For example, the Python condition denominator != 0 and numerator / denominator > 2 avoids division by zero because the logical conjunction's second test is evaluated only when the first succeeds. Reversing the tests preserves the abstract truth table for defined operands but can raise a division-by-zero error handled through exception handling. A rewrite involving a side effect must also preserve the needed evaluation behavior.

Events turn Boolean operations into operations on sets. For a die with sample space $U=\{1,2,3,4,5,6\}$, let $A=\{2,4,6\}$ be the event “even outcome” and $B=\{4,5,6\}$ the event “outcome at least four”. At outcome $u$, use the indicator functions $P=1_A(u)$ and $Q=1_B(u)$. ThenThus logical conjunction becomes set intersection, logical disjunction becomes set union, exclusive or becomes symmetric difference, and logical negation becomes the complement of a set within $U$. Outcome four satisfies both events, so inclusive logical disjunction includes it and exclusive or excludes it. If the die is fair, these four events have probabilities $1/3$, $2/3$, $1/3$, and $1/2$, respectively. No assumption of independent events is needed for the set identities; indeed $A$ and $B$ here are not independent, since $1/3\ne (1/2)(1/2)$.

A syntactically bounded formula in set theory is built from the atomic first-order formulas $u=v$ and $u\in v$ using Boolean operations and bounded quantifiers $\exists u\in v$ and $\forall u\in v$. These abbreviate $\exists u(u\in v\wedge \cdots )$ and $\forall u(u\in v\Rightarrow \cdots )$, with $u$ different from the bounding variable $v$.

The superscript in the question allows provable equivalence: a ZF-equivalent bounded formula is any first-order formula $\phi (\vec{v})$ for which some syntactically bounded formula in set theory $\psi (\vec{v})$ satisfiesThus ${\Delta }_0^{\mathrm{ZF}}$ is the class of first-order formulas equivalent over ZF to a syntactic ${\Delta }_0$ first-order formula. If a convention uses ${\Delta }_0^{\mathrm{ZF}}$ just for syntactically bounded set-theoretic first-order formulas, it is the smaller syntactic class; the subsequent set-theoretic absoluteness proof works for both conventions.

First prove set-theoretic absoluteness for syntactically bounded formulas in set theory by induction on their construction. Atomic equality and membership use the actual equality and membership relations in both transitive classes. Boolean operations preserve agreement.

For the bounded existential step, take $a\in M$ and suppose $N\models \exists u\in a\psi (u,\vec{b})$. Its witness $c$ is an actual member of $a$. Since $M$ is a transitive class, $c\in M$; the induction hypothesis then gives $M\models \psi (c,\vec{b})$. The converse uses the same witness in $N$. The bounded universal step follows similarly because both structures quantify over exactly the actual members of $a$, or follows by negation from the existential step. HenceNo ZF axioms are needed for this syntactic statement beyond the ambient meaning of a transitive class. For a ZF-equivalent bounded formula $\phi$, choose a bounded equivalent $\psi$. The assumption that both structures model ZF gives ${\phi }^M\leftrightarrow {\psi }^M$ and ${\phi }^N\leftrightarrow {\psi }^N$. Combining these with the displayed equivalence proves the asserted set-theoretic absoluteness of ${\Delta }_0^{\mathrm{ZF}}$.