--- title: Equivalence Transformation TARGET DECK: Obsidian::STEM FILE TAGS: programming::equiv-trans tags: - equiv-trans - logic - programming --- ## Overview **Equivalence-transformation** refers to a class of calculi for [[propositional|propositional logic]] derived from negation ($\neg$), conjunction ($\land$), disjunction ($\lor$), implication ($\Rightarrow$), and equality ($=$). Gries covers two in "The Science of Programming": a system of evaluation and a formal system. The system of evaluation mirrors how a computer processes instructions, at least in an abstract sense. The formal system serves as a theoretical framework for reasoning about propositions and their transformations without resorting to "lower-level" operations like substitution. %%ANKI Basic Who is the author of "The Science of Programming"? Back: David Gries Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What are constant propositions? Back: Propositions that contain only constants as operands. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Cloze Gries replaces logical operator {$\Leftrightarrow$} in favor of {$=$}. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How does Lean define propositional equality? Back: Expressions `a` and `b` are propositionally equal iff `a = b` is true. Reference: Avigad, Jeremy. ‘Theorem Proving in Lean’, n.d. Tags: lean END%% %%ANKI Basic How does Lean define `propext`? Back: ```lean axiom propext {a b : Prop} : (a ↔ b) → (a = b) ``` Reference: Avigad, Jeremy. ‘Theorem Proving in Lean’, n.d. Tags: lean END%% %%ANKI Basic What Lean theorem justifies Gries' choice of $=$ over $\Leftrightarrow$? Back: `propext` Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. Tags: lean END%% %%ANKI Basic Is $(b \land c)$ well-defined in $\{(b, T), (c, F)\}$? Back: Yes. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic Is $(b \lor d)$ well-defined in $\{(b, T), (c, F)\}$? Back: No. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What proposition represents states $\{(b, T)\}$ and $\{(c, F)\}$? Back: $b \lor \neg c$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What set of states does $a \land b$ represent? Back: The set containing just state $\{(a, T), (b, T)\}$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is sloppy about phrase "the states in $b \lor \neg c$"? Back: $b \lor \neg c$ is not a set but a representation of a set (of states). Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is the weakest proposition? Back: $T$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What set of states does $T$ represent? Back: The set of all states. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is the strongest proposition? Back: $F$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What set of states does $F$ represent? Back: The set of no states. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What does a proposition *represent*? Back: The set of states in which it is true. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic When is $p$ stronger than $q$? Back: When $p \Rightarrow q$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic When is $p$ weaker than $q$? Back: When $q \Rightarrow p$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic A proposition is well-defined with respect to what? Back: A state to evaluate against. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic Why is $b \land c$ stronger than $b \lor c$? Back: The former represents a subset of the states the latter represents. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is a state? Back: A function mapping identifiers to values. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What are the two calculi Gries describes equivalence-transformation with? Back: A formal system and a system of evaluation. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% ## Equivalence Schemas A proposition is said to be a **tautology** if it evaluates to $T$ in every state it is well-defined in. We say propositions $E1$ and $E2$ are **equivalent** if $E1 = E2$ is a tautology. In this case, we say $E1 = E2$ is an **equivalence**. %%ANKI Basic What does it mean for a proposition to be a tautology? Back: That the proposition is true in every state it is well-defined in. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is tautology $e$ written equivalently with a quantifier? Back: For free identifiers $i_1, \ldots, i_n$ in $e$, as $\forall (i_1, \ldots, i_n), e$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic The term "equivalent" refers to a comparison between what two objects? Back: Expressions. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What does it mean for two propositions to be equivalent? Back: Given propositions $E1$ and $E2$, it means $E1 = E2$ is a tautology. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is an equivalence? Back: Given propositions $E1$ and $E2$, tautology $E1 = E2$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * Commutative Laws * $(E1 \land E2) = (E2 \land E1)$ * $(E1 \lor E2) = (E2 \lor E1)$ * $(E1 = E2) = (E2 = E1)$ %%ANKI Basic Which of the basic logical operators do the commutative laws apply to? Back: $\land$, $\lor$, and $=$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What do the commutative laws allow us to do? Back: Reorder operands. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is the commutative law of e.g. $\land$? Back: $E1 \land E2 = E2 \land E1$ END%% * Associative Laws * $E1 \land (E2 \land E3) = (E1 \land E2) \land E3$ * $E1 \lor (E2 \lor E3) = (E1 \lor E2) \lor E3$ %%ANKI Basic Which of the basic logical operators do the associative laws apply to? Back: $\land$ and $\lor$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What do the associative laws allow us to do? Back: Remove parentheses. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is the associative law of e.g. $\land$? Back: $E1 \land (E2 \land E3) = (E1 \land E2) \land E3$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * Distributive Laws * $E1 \lor (E2 \land E3) = (E1 \lor E2) \land (E1 \lor E3)$ * $E1 \land (E2 \lor E3) = (E1 \land E2) \lor (E1 \land E3)$ %%ANKI Basic Which of the basic logical operators do the distributive laws apply to? Back: $\land$ and $\lor$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What do the distributive laws allow us to do? Back: "Factor" propositions. Reference: Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is the distributive law of e.g. $\land$ over $\lor$? Back: $E1 \land (E2 \lor E3) = (E1 \land E2) \lor (E1 \land E3)$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * De Morgan's Laws * $\neg (E1 \land E2) = \neg E1 \lor \neg E2$ * $\neg (E1 \lor E2) = \neg E1 \land \neg E2$ %%ANKI Basic Which of the basic logical operators do De Morgan's Laws apply to? Back: $\neg$, $\land$, and $\lor$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is De Morgan's Law of e.g. $\land$? Back: $\neg (E1 \land E2) = \neg E1 \lor \neg E2$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * Law of Negation * $\neg (\neg E1) = E1$ %%ANKI Basic What does the Law of Negation say? Back: $\neg (\neg E1) = E1$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * Law of the Excluded Middle * $E1 \lor \neg E1 = T$ %%ANKI Basic Which of the basic logical operators does the Law of the Excluded Middle apply to? Back: $\lor$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What does the Law of the Excluded Middle say? Back: $E1 \lor \neg E1 = T$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic Which equivalence schema is "refuted" by sentence, "This sentence is false." Back: Law of the Excluded Middle Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% * Law of Contradiction * $E1 \land \neg E1 = F$ %%ANKI Basic Which of the basic logical operators does the Law of Contradiction apply to? Back: $\land$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What does the Law of Contradiction say? Back: $E1 \land \neg E1 = F$ Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Cloze The Law of {1:the Excluded Middle} is to {2:$\lor$} whereas the Law of {2:Contradiction} is to {1:$\land$}. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% Gries lists other "Laws" but they don't seem as important to note here. %%ANKI Basic How is $\Rightarrow$ written in terms of other logical operators? Back: $p \Rightarrow q$ is equivalent to $\neg p \lor q$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is $\Leftrightarrow$/$=$ written in terms of other logical operators? Back: $p \Leftrightarrow q$ is equivalent to $(p \Rightarrow q) \land (q \Rightarrow p)$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What distinguishes an equality from an equivalence? Back: An equivalence is an equality that is also a tautology. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% ## Equivalence Rules * Rule of Substitution * Let $P(r)$ be a predicate and $E1 = E2$ be an equivalence. Then $P(E1) = P(E2)$ is an equivalence. * Rule of Transitivity * Let $E1 = E2$ and $E2 = E3$ be equivalences. Then $E1 = E3$ is an equivalence. %%ANKI Basic What two inference rules make up the equivalence-transformation formal system? Back: Substitution and transitivity. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic Which of the two inference rules that make up the equivalence-transformation formal system is redundant? Back: Transitivity. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What does the rule of substitution say in the system of evaluation? Back: Let $P(r)$ be a predicate and $E1 = E2$ be an equivalence. Then $P(E1) = P(E2)$ is an equivalence. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is the rule of substitution written as an inference rule (in standard form)? Back: $$ \begin{matrix} E1 = E2 \\ \hline P(E1) = P(E2) \end{matrix} $$ END%% %%ANKI Basic What does the rule of transitivity state in the system of evaluation? Back: Let $E1 = E2$ and $E2 = E3$. Then $E1 = E3$. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is the rule of transitivity written as an inference rule (in standard form)? Back: $$ \begin{matrix} E1 = E2, E2 = E3 \\ \hline E1 = E3 \end{matrix} $$ END%% %%ANKI Cloze The system of evaluation has {equivalences} whereas the formal system has {theorems}. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic What is a "theorem" in the equivalence-transformation formal system? Back: An equivalence derived from the axioms and inference rules. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is e.g. the Law of Implication proven in the system of evaluation? Back: With truth tables Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Basic How is e.g. the Law of Implication proven in the formal system? Back: It isn't. It is an axiom. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Cloze The system of evaluation and formal system are connected by the following biconditional: {$e$ is a tautology} iff {$e = T$ is a theorem}. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% %%ANKI Cloze The {1:system of evaluation} is to {2:"$e$ is a tautology"} whereas the {2:formal system} is to {1:"$e = T$ is a theorem"}. Reference: Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981. END%% ## Bibliography * Avigad, Jeremy. ‘Theorem Proving in Lean’, n.d. * Gries, David. *The Science of Programming*. Texts and Monographs in Computer Science. New York: Springer-Verlag, 1981.