Proving Implication with Truth Tables: When Do We Use T or F?

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The discussion revolves around proving the equivalence of "not A implies B" and "not B implies A" using a truth table. The truth table shows that both implications yield the same truth values in all scenarios, confirming the proof. The confusion arises regarding when to assign true (T) or false (F) values in the implications, particularly in understanding that an implication is false only when the hypothesis is true and the conclusion is false. Clarification is provided that if A is true and B is false, then the implication A implies B is indeed false. The thread concludes with an acknowledgment of the misunderstanding regarding the definitions of implications.
sara_87
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Homework Statement



prove that:
not A implies B
if and only if
not B implies A

Homework Equations



construct truth table

The Attempt at a Solution



the answer is given as a table (T means true, F means false):

A| B| not A implies B| not B implies A| IFF

T T T T T
T F T T T
F T T T T
F F F F T


I understand that since the 3rd and 4th columns are the same, this completes the proof. BUT, i don't understand when to put T and when to put F.
any help wud be very much appreciated.
Thank you
 
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sara_87 said:

Homework Statement



prove that:
not A implies B
if and only if
not B implies A

Homework Equations



construct truth table

The Attempt at a Solution



the answer is given as a table (T means true, F means false):

A| B| not A implies B| not B implies A| IFF

T T T T T
T F T T T
F T T T T
F F F F T


I understand that since the 3rd and 4th columns are the same, this completes the proof. BUT, i don't understand when to put T and when to put F.
any help wud be very much appreciated.
Thank you

I assume your question is about what to put in the 3rd and 4th columns.

The only combination of truth values for which the implication A ==> B is false, is when the hypothesis (A here) is true but the conclusion (B here) is false.

It's the same for the implication ~A ==> B. The only combination for which this implication is false is when the hypothesis (~A) is true, but the conclusion (B) is false.
For ~A to be true, it must be that A is false, so looking at the first two columns of your truth table, the row that makes ~A ==> B false is the fourth row, where A is false and B is false.

The explanation for ~B ==> A is similar.
 
''The only combination of truth values for which the implication A ==> B is false, is when the hypothesis (A here) is true but the conclusion (B here) is false.
''

But, if A is true, then B is false, why would this make A==>B false?
wouldnt A==>B be false if A is true AND B is true ?

Thank you
 
If you believe that "if true then true" is a false statement, then you need to go back and review basic definitions.
 
OH...right i see. sorry i misunderstood. i read it as:

''The only combination of truth values for which the implication (not )A ==> B is false, is when the hypothesis (A here) is true but the conclusion (B here) is false''
 

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