Why does the implication hold?

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In summary, the conversation discusses a proof of the statement that for all natural numbers, the number is not an element of itself. The proof involves defining a set $X$ and showing that it is an inductive set, which implies that $X=\omega$. The conversation also includes a question about a step in the proof, which is explained using the properties of subset and elementhood.
  • #1
evinda
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Hi! (Smile)

I am looking at the proof of the following sentence:

For each natural number $n$ it holds that $n \notin n$.

Proof :

We define the set $X=\{ n \in \omega: n \notin n\}$.
It suffices to show that $X$ is an inductive set, because then $X=\omega$.
Obviously $\varnothing \in X$.
We suppose that $n \in X$ and we will show that $n'=n \cup \{n\} \in X$.

We suppose that $n' \in n'$. Then $n \cup \{ n \} \in n \cup \{ n \}$.
We have two cases:
  • $n \cup \{ n \} \in n$
  • $n \cup \{ n \} \in \{ n \} \rightarrow n \cup \{ n \}=n$

If $n \cup \{ n \} \in n$ then $n \cup \{ n \} \subset n \rightarrow \{ n \} \subset n \rightarrow n \in n$, contradiction since $n \in X$.

If $n \cup \{ n \}=n \rightarrow n \cup \{ n \} \subset n$ and from the proof of the previous sentence we conclude again to a contradiction.

So, $n' \notin n'$ and so $X$ is inductive, i.e. $X=\omega$.Could you explain me why $n \cup \{ n \} \subset n \rightarrow \{ n \} \subset n \rightarrow n \in n$ ? (Thinking)
 
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  • #2
evinda said:
Could you explain me why $n \cup \{ n \} \subset n \rightarrow \{ n \} \subset n \rightarrow n \in n$ ?
For all sets $A$, $B$ and $C$ and for all $x$ it is the case that $A\cup B\subseteq C\implies B\subseteq C$ and $\{x\}\subseteq A\iff x\in A$.
 
  • #3
Evgeny.Makarov said:
For all sets $A$, $B$ and $C$ and for all $x$ it is the case that $A\cup B\subseteq C\implies B\subseteq C$ and $\{x\}\subseteq A\iff x\in A$.

I understand... Thanks a lot! (Cool)
 

FAQ: Why does the implication hold?

Why is implication important in science?

Implication is important in science because it allows us to make logical connections and draw conclusions based on evidence. It helps us understand cause and effect relationships and make predictions about future outcomes.

How does implication differ from correlation?

Implication differs from correlation in that it is a logical relationship between two statements, while correlation is a statistical measure of the relationship between two variables. Implication is based on evidence and reasoning, while correlation is based on numerical data.

Can implication be proven?

No, implication cannot be proven in the same way that a mathematical theorem can be proven. It is based on logical reasoning and evidence, but there is always a possibility of new evidence or counterexamples that could disprove the implication.

What is the difference between necessary and sufficient conditions in implication?

Necessary conditions are essential for an implication to hold, meaning that without them, the implication would not be true. Sufficient conditions, on the other hand, are enough to guarantee the truth of the implication, but they may not be the only factors at play.

How can we use implication in scientific research?

Implication can be used in scientific research to form hypotheses, make predictions, and draw conclusions based on evidence and logical reasoning. It can also be used to identify cause and effect relationships and guide further experiments or investigations.

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