MHB How Do Truth Tables and Venn Diagrams Verify Logical Equivalence?

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To demonstrate the logical equivalence of the statements p v (q ^ r) and (p v q) ^ (p v r) using a truth table, one must fill out the truth values for all combinations of p, q, and r. The truth table shows that both expressions yield identical results across all scenarios, confirming their equivalence. In contrast, the expression (p v q) ^ r does not match the truth values of the first two statements, indicating that it is not logically equivalent. Venn diagrams can also illustrate these relationships visually, highlighting the overlaps and distinctions between the sets represented by the statements. This analysis effectively verifies logical equivalence through both truth tables and Venn diagrams.
barbara
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How would I use a truth table to show that the statement p v (q ^ r) is equivalent to (p v q) ^ (p v r) or design a venn diagram for this. and show that this statement is not equivalent to (p v q) ^ r.
 
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A truth-table might begin like this:

$\begin{array}{cccccccc}

P&Q& R&Q\wedge R&P\vee(Q\wedge R)& P\vee Q& P\vee R& (P\vee Q)\wedge(P\vee R)\\
\ast&\ast&\ast&\ast&\ast&\ast&\ast&\ast\\
T&T&T&T&T&T&T&-\\
T&T&F&F&T&T&T&-\\
T&F&T&F&T&T&T&-\\
T&F&F&F&T&T&T&-\\
F&T&T&T&T&T&T&-\\
F&T&F&F&F&T&F&-\\
F&F&T&F&F&F&T&-\\
F&F&F&F&F&F&F&-\\

\end{array}$

Your goal, then, is to fill out column 8, and verify it matches column 5...
 
Greetings, I am studying probability theory [non-measure theory] from a textbook. I stumbled to the topic stating that Cauchy Distribution has no moments. It was not proved, and I tried working it via direct calculation of the improper integral of E[X^n] for the case n=1. Anyhow, I wanted to generalize this without success. I stumbled upon this thread here: https://www.physicsforums.com/threads/how-to-prove-the-cauchy-distribution-has-no-moments.992416/ I really enjoyed the proof...

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