Can All Natural Numbers be a Subset of a Given Set?

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In summary, the student is trying to prove that homework statement S=N, but is having difficulty doing so.
  • #1
frobeniustaco
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Homework Statement



Let S is a subset of the natural numbers [denote S[itex]\subseteq[/itex]N] such that

A: 2k[itex]\in[/itex]S [itex]\forall[/itex] k[itex]\in[/itex]N
B: if k[itex]\in[/itex]s and k ≥ 2, then k-1[itex]\in[/itex]S

Prove that S=N

Homework Equations


The Attempt at a Solution



My first instinct was to approach it like one would prove the principle of mathematical induction, but I got to a point and it seems like it won't work that way. I'm not sure how else to approach the proof. Here's what I've got:

Suppose S≠N. Then N\S [the compliment of N with respect to S, or the set of elements that are in N but not in S] is nonempty, and by the Well-Ordering Property of N, N\S has some least element m.

2[itex]\in[/itex]S by hypothesis, so m>2. This implies that m-1[itex]\in[/itex]N.

Since m-1 < m, and m is the smallest element in N that is not in S, we conclude that m-1[itex]\in[/itex]S.This is where something seems wrong to me. I want to somehow get to m[itex]\in[/itex]S, so I have a proof by contradiction, but I'm not sure how I can do this with the given hypotheses.
 
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  • #2
frobeniustaco said:

Homework Statement



Let S is a subset of the natural numbers [denote S[itex]\subseteq[/itex]N] such that

A: 2k[itex]\in[/itex]S [itex]\forall[/itex] k[itex]\in[/itex]N
B: if k[itex]\in[/itex]s and k ≥ 2, then k-1[itex]\in[/itex]S

Prove that S=N



Homework Equations





The Attempt at a Solution



My first instinct was to approach it like one would prove the principle of mathematical induction, but I got to a point and it seems like it won't work that way. I'm not sure how else to approach the proof. Here's what I've got:

Suppose S≠N. Then N\S [the compliment of N with respect to S, or the set of elements that are in N but not in S] is nonempty, and by the Well-Ordering Property of N, N\S has some least element m.

2[itex]\in[/itex]S by hypothesis, so m>2. This implies that m-1[itex]\in[/itex]N.

Since m-1 < m, and m is the smallest element in N that is not in S, we conclude that m-1[itex]\in[/itex]S.


This is where something seems wrong to me. I want to somehow get to m[itex]\in[/itex]S, so I have a proof by contradiction, but I'm not sure how I can do this with the given hypotheses.

Doesn't there exist a [itex]k \in \mathbb{N}[/itex] such that [itex]2^k \geq m[/itex]?
 
  • #3
That does make sense. That had crossed my mind briefly, but now that I've spent a little more time thinking about it I feel more comfortable. I'd been confusing myself since m doesn't have an upper limit, but since N isn't bounded above even if you pick an m higher than 2k, there's still going to be a 2k+1 that is bigger. I think I should be able use the second hypothesis to work my way back down to m.

Thank you much!
 

FAQ: Can All Natural Numbers be a Subset of a Given Set?

What is an inductionish problem?

An inductionish problem refers to a problem or situation that requires the use of inductive reasoning to find a solution. Inductive reasoning is a type of logical reasoning that involves making generalizations based on specific observations or evidence.

How is an inductionish problem different from a deductive problem?

An inductionish problem is different from a deductive problem in the type of reasoning used to solve it. While inductive reasoning involves making generalizations based on specific observations, deductive reasoning involves using general principles or theories to make specific conclusions.

Can you give an example of an inductionish problem?

One example of an inductionish problem is the prediction of the weather. In this case, we observe specific weather patterns and use them to make generalizations about future weather conditions. This is in contrast to deductive reasoning, where we would use general meteorological principles to make specific predictions about the weather.

What are the steps involved in solving an inductionish problem?

The steps involved in solving an inductionish problem include identifying the specific observations or evidence, making generalizations or hypotheses based on the observations, testing those hypotheses, and refining them as necessary until a satisfactory solution is reached.

How is inductive reasoning used in scientific research?

Inductive reasoning is commonly used in scientific research to generate hypotheses and theories. Scientists observe specific phenomena, make generalizations based on those observations, and then test those generalizations through experiments or further observations. This process can lead to the development of new theories and understanding of natural phenomena.

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