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The size, \(s(\mathcal{D})\), of a derivation is the number of proposition occurrences in \(\mathcal{D}\). Give an inductive definition of \(s(\mathcal{D})\). Show that one can prove properties of derivations by it induction on the size.

Short Answer

Expert verified
Define base case size as 1 for single propositions; use composite size for induction.

Step by step solution

01

Understanding the Problem

To solve this problem, we need to 1. Define the concept of 'size' of a derivation, denoted as \(s(\mathcal{D})\), based on its proposition occurrences.2. Provide an inductive definition for \(s(\mathcal{D})\).3. Demonstrate how properties of derivations can be proved using induction on size.
02

Define Base Case for Inductive Definition

The base case involves the smallest possible derivation, which is a single proposition \(P\). In this case, the size \(s(\mathcal{D})\) is just 1, as there is only one proposition occurrence:\[ s(\mathcal{D}) = 1 \]
03

Define Inductive Step for Inductive Definition

For the inductive step, assume that for derivations \(\mathcal{D}_1\) and \(\mathcal{D}_2\), the sizes are known as \(s(\mathcal{D}_1)\) and \(s(\mathcal{D}_2)\). For a composite or derived proposition, the size \(s(\mathcal{D})\) would be:\[ s(\mathcal{D}) = s(\mathcal{D}_1) + s(\mathcal{D}_2) + 1 \] This accounts for combining two derivations and the new proposition resulting from their combination.
04

Prove Properties of Derivations by Induction on Size

To prove any property \(P(n)\) about derivations of size \(n\), follow these steps:- **Base Case:** Verify that the property \(P(1)\) holds for the smallest derivation.- **Inductive Step:** Assume that \(P(k)\) holds for derivations of size \(k\). Show that \(P(k+1)\) holds for derivations of size \(k+1\) using the inductive hypothesis that \(P(k)\) is true.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Propositional Logic
Propositional logic, at its core, is a branch of logic that deals with statements or propositions that can be true or false. It uses symbols to represent these propositions and logical connectives like AND (\(\land\)), OR (\(\lor\)), NOT (\(\lnot\)), and implication (\(\rightarrow\)) to form complex expressions.
  • A proposition is a declarative sentence that is either true or false, such as "The sky is blue."
  • Connectives are used to create compound propositions, such as "The sky is blue AND the grass is green."
  • Propositional logic is the foundation for more complex forms of logic used in computer science and mathematics.
Understanding propositional logic is crucial for working with proofs and derivations, as it provides the language and structure needed to articulate logical reasoning.
Derivation
In the context of propositional logic, a derivation is a step-by-step sequence of statements, starting from axioms or premises and leading to a conclusion. Each statement in the derivation follows logically from the previous ones, adhering to the rules of propositional logic.
  • Derivation can be thought of as a logical proof, where you demonstrate how one statement follows from another.
  • The goal of a derivation is to show that a particular conclusion is logically valid.
  • The size of a derivation, which is a key focus here, is measured by counting the number of occurrences of propositions.
Measuring the size of derivations helps in analyzing the complexity and understanding the structure of logical proofs. It also paves the way for using induction to show properties about these derivations.
Inductive Hypothesis
The inductive hypothesis is an assumption made in the process of a proof by mathematical induction. It hypothesizes that a given statement or property holds for an arbitrary case, often denoted as \(k\).
  • This assumption is key because it forms the bridge between the base case and the inductive step.
  • By assuming that the statement is true for \(k\), you can then show it is true for \(k+1\).
  • The inductive hypothesis supports the logical flow, allowing each step in the induction process to be justified.
A solid grasp of the inductive hypothesis is essential for successfully executing a proof by induction, which is often used to demonstrate properties of logical derivations.
Proof by Induction
Proof by induction is a powerful method of proving statements or properties for all natural numbers. It consists of two primary steps: the base case and the inductive step.
  • Base Case: Start by proving the statement for the smallest number, typically \(n=1\). This ensures that the property holds at the very beginning of the sequence.
  • Inductive Step: Assume the property holds for a natural number \(k\) (inductive hypothesis) and then prove it for \(k+1\).
  • This technique leverages the principle that if a statement holds for a base case and the truth of it for one case implies its truth for the next, then it holds for all cases.
In the context of propositional logic and derivations, proof by induction allows us to argue convincingly about properties that apply to derivations of any size.

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Most popular questions from this chapter

Check by the truth table method which of the following propositions are tautologies (a) \((\neg \varphi \vee \psi) \leftrightarrow(\psi \rightarrow \varphi)\) (b) \(\varphi \rightarrow((\psi \rightarrow \sigma) \rightarrow((\varphi \rightarrow \psi) \rightarrow(\varphi \rightarrow \sigma)))\) (c) \((\varphi \rightarrow \neg \varphi) \leftrightarrow \neg \varphi\) (d) \(\neg(\varphi \rightarrow \neg \varphi)\) (e) \((\varphi \rightarrow(\psi \rightarrow \sigma)) \leftrightarrow((\varphi \wedge \psi) \rightarrow \sigma)\) (f) \(\varphi \vee \neg \varphi\) (principle of the excluded third) (g) \(\perp \leftrightarrow(\varphi \wedge \neg \varphi)\) (h) \(\perp \rightarrow \varphi\) (ex falso sequitur quodlibet)

$$ \begin{aligned} &\text { Prove } \ \backslash_{i \leq n} \varphi_{i} \vee M_{j \leq m} \psi_{j} \approx \prod_{i \leq n} \atop \bigwedge_{j \leq m}\left(\varphi_{i} \vee \psi_{j}\right) \text { and } \\ &\bigvee_{i \leq n} \varphi_{i} \wedge \bigvee_{j \leq m} \psi_{j} \approx \underset{i \leq n \atop j \leq m}{\bigvee}\left(\varphi_{i} \wedge \psi_{j}\right) \end{aligned} $$

Give a criterion for a conjunctive normal form to be a tautology.

Consider the full language \(\mathcal{L}\) with the connectives \(\wedge, \rightarrow, \perp, \leftrightarrow \vee\) and the restricted language \(\mathcal{L}^{\prime}\) with connectives \(\wedge, \rightarrow, \perp\). Using the appropriate derivation rules we get the derivability notions \(\vdash\) and \(\vdash^{\prime}\). We define an obvious translation from \(\mathcal{L}\) into \(\mathcal{L}^{\prime}\) : \(\begin{aligned} \varphi^{+} &:=\varphi \text { for atomic } \varphi \\\\(\varphi \square \psi)^{+} &:=\varphi^{+} \square \psi^{+} \text {for } \square=\wedge, \rightarrow, \end{aligned}\) \((\varphi \vee \psi)^{+}:=\neg\left(\neg \varphi^{+} \wedge \neg \varphi^{+}\right)\), where \(\neg\) is an abbreviation, \((\varphi \leftrightarrow \psi)^{+}:=\left(\varphi^{+} \rightarrow \psi^{+}\right) \wedge\left(\psi^{+} \rightarrow \varphi^{+}\right)\), $$ (\neg \varphi)^{+}:=\varphi^{+} \rightarrow \perp . $$ Show (i) \(\vdash \varphi \leftrightarrow \varphi^{+}\), (ii) \(\quad \vdash \varphi \Leftrightarrow \vdash^{\prime} \varphi^{+}\), (iii) \(\varphi^{+}=\varphi\) for \(\varphi \in \mathcal{L}^{\prime}\). (iv) Show that the full logic, is conservative over the restricted logic, i.e. for \(\varphi \in \mathcal{L}^{\prime} \vdash \varphi \Leftrightarrow \vdash^{\prime} \varphi\).

Show that the connective \(\downarrow\), with valuation function \([\varphi \downarrow \psi]=1\) iff \([\varphi]=[\psi \rrbracket=0\), forms a functionally complete set (neither \(\varphi\), nor \(\psi)\).

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