Difference between revisions of "Talk:Logical graph"

MyWikiBiz, Author Your Legacy — Thursday April 18, 2024
Jump to navigationJump to search
(→‎Discussion: + FUT's)
Line 19: Line 19:
 
===Solution===
 
===Solution===
  
[http://mathforum.org/kb/plaintext.jspa?messageID=6514666 Solution posted by Jon Awbrey, worked out in terms of logical graphs].
+
[http://mathforum.org/kb/plaintext.jspa?messageID=6514666 Solution posted by Jon Awbrey, using the calculus of logical graphs].
  
 
In logical graphs, the required equivalence looks like this:
 
In logical graphs, the required equivalence looks like this:
Line 41: Line 41:
 
</pre>
 
</pre>
  
See [http://www.mywikibiz.com/Logical_graph#C2.__Generation_theorem Logical Graph : C<sub>2</sub>.  Generation Theorem].
+
See [[Logical_graph#C2.__Generation_theorem|Logical Graph : C<sub>2</sub>.  Generation Theorem]].
  
 
Applying this twice to the left hand side of the required equation, we get:
 
Applying this twice to the left hand side of the required equation, we get:
Line 181: Line 181:
 
:* [[Logical_graph#Axioms|Logical Graph Axioms]]
 
:* [[Logical_graph#Axioms|Logical Graph Axioms]]
  
Proceeding from these axioms is a handful of very simple theorems that we tend to use over and over in deriving more complex theorems.  A sample of these is given here:
+
Proceeding from these axioms is a handful of very simple theorems that we tend to use over and over in deriving more complex theorems.  A sample of these frequently used theorems is given here:
  
:* [[Logical_graph#Frequently_used_theorems|Frequently Used Theorems]]
+
:* [[Logical_graph#C1.__Double_negation_theorem|C<sub>1</sub>. Double Negation Theorem]]
 +
:* [[Logical_graph#C2.__Generation_theorem|C<sub>2</sub>.  Generation Theorem]]
 +
:* [[Logical_graph#C3.__Dominant_form_theorem|C<sub>3</sub>.  Dominant Form Theorem]]

Revision as of 20:50, 3 December 2008

Notes & Queries

Place for Discussion


\(\ldots\)

Logical Equivalence Problem

Problem

Problem posted by Mike1234 on the Discrete Math List at the Math Forum.

  • Required to show that \(\lnot (p \Leftrightarrow q)\) is equivalent to \((\lnot q) \Leftrightarrow p.\)

Solution

Solution posted by Jon Awbrey, using the calculus of logical graphs.

In logical graphs, the required equivalence looks like this:

      q o   o p           q o
        |   |               |
      p o   o q             o   o p
         \ /                |   |
          o               p o   o--o q
          |                  \ / 
          @         =         @

We have a theorem that says:

        y o                xy o
          |                   |
        x @        =        x @

See Logical Graph : C2. Generation Theorem.

Applying this twice to the left hand side of the required equation, we get:

      q o   o p          pq o   o pq
        |   |               |   |
      p o   o q           p o   o q
         \ /                 \ /
          o                   o
          |                   |
          @         =         @

By collection, the reverse of distribution, we get:

          p   q
          o   o
       pq  \ / 
        o   o
         \ /
          @

But this is the same result that we get from one application of double negation to the right hand side of the required equation.

QED

Discussion

Back to the initial problem:

  • Show that \(\lnot (p \Leftrightarrow q)\) is equivalent to \((\lnot q) \Leftrightarrow p.\)

We can translate this into logical graphs by supposing that we have to express everything in terms of negation and conjunction, using parentheses for negation and simple concatenation for conjunction. In this way of assigning logical meaning to graphical forms — for historical reasons called the "existential interpretation" of logical graphs — basic logical operations are given the following expressions:

The negation \(\lnot x\) is written \((x).\!\)

This corresponds to the logical graph:

          x
          o
          |
          @

The conjunction \(x \land y\) is written \(x y.\!\)

This corresponds to the logical graph:

         x y
          @

The conjunction \(x \land y \land z\) is written \(x y z.\!\)

This corresponds to the logical graph:

        x y z
          @

And so on.

The disjunction \(x \lor y\) is written \(((x)(y)).\!\)

This corresponds to the logical graph:

        x   y
        o   o
         \ /
          o
          |
          @

The disjunction \(x \lor y \lor z\) is written \(((x)(y)(z)).\!\)

This corresponds to the logical graph:

        x y z
        o o o
         \|/
          o
          |
          @

And so on.

The implication \(x \Rightarrow y\) is written \((x (y)).\!\) Reading the latter as "not \(x\!\) without \(y\!\)" helps to recall its implicational sense.

This corresponds to the logical graph:

        y o
          |
        x o
          |
          @

Thus, the equivalence \(x \Leftrightarrow y\) has to be written somewhat inefficiently as a conjunction of two implications\[(x (y)) (y (x)).\!\]

This corresponds to the logical graph:

      y o   o x
        |   |
      x o   o y
         \ /
          @

Putting all the pieces together, showing that \(\lnot (p \Leftrightarrow q)\) is equivalent to \((\lnot q) \Leftrightarrow p\) amounts to proving the following equation, expressed in the forms of logical graphs and parse strings, respectively:

      q o   o p           q o
        |   |               |
      p o   o q             o   o p
         \ /                |   |
          o               p o   o--o q
          |                  \ /
          @         =         @

( (p (q)) (q (p)) ) = (p ( (q) )) ((p)(q))

That expresses the proposed equation in the language of logical graphs. To test whether the equation holds we need to use the rest of the formal system that comes with this formal language, namely, a set of axioms taken for granted and a set of inference rules that allow us to derive the consequences of these axioms.

The formal system that we use for logical graphs has just four axioms. These are given here:

Proceeding from these axioms is a handful of very simple theorems that we tend to use over and over in deriving more complex theorems. A sample of these frequently used theorems is given here: