MHB How have we concluded that X is an inductive set?

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The discussion centers on proving that the set X, defined as containing natural numbers n such that for all m, if m is in n, then m is a subset of n, is an inductive set. The proof establishes that the empty set is in X and that if n is in X, then n' (the successor of n) is also in X. The key point is that if m is in n, it follows that m is also in n', thereby satisfying the condition for membership in X. The participants clarify that showing m ⊆ n implies m ⊆ n' is sufficient for concluding n' is in X. The discussion concludes with an affirmation of understanding regarding the inductive property of the set.
evinda
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Hello! (Nerd)

I am looking at the proof of the following sentence:

For any natural numbers $m,n$ it holds that:

$$n \in m \rightarrow n \subset m$$

Proof:

We define the set $X=\{ n \in \omega: \forall m (m \in n \rightarrow m \subset n)$ and it suffices to show that $X$ is an inductive set.
Then, $\varnothing \in X$.
Let $n \in X$.
We want to show that $n'=n \cup \{ n \} \in X$.
We pick a $m \in n'=n \cup \{ n \}$.
Then $m \in n$ or $m \in \{ n \}$.
  • If $m \in n$ and since $n \in X$, we have that $m \subset n$
  • If $m \in \{ n \} \rightarrow m=n \rightarrow m \subset n$

So, $n' \in X$ and therefore $X$ is an inductive set.I haven't understood why, having shown that $m \subset n$, we have concluded that $n' \in X$. (Worried)
Could you explain it to me? (Thinking)
 
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In order to show that $n' \in X$ don't we have to show that $m \in n' \rightarrow m \subset n'$ ? Or am I wrong? (Thinking)
 
In both cases in the proof, we have $m\subseteq n$. This trivially implies $m\subseteq n'$.
 
Evgeny.Makarov said:
In both cases in the proof, we have $m\subseteq n$. This trivially implies $m\subseteq n'$.

I see (Nod) Thank you very much! (Happy)
 
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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