Proving Properties of P(K) when x $\notin$ S

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In summary: To summarize, the conversation discusses the proof that P(K) is the disjoint union of P(S) and X, with X being the subsets of K that contain x. It is also shown that every element of X is the union of a subset of S with {x}, and that X has the same number of elements as P(S). Ultimately, this allows for the conclusion that if S is a finite set, then P(K) has twice as many elements as P(S).
  • #1
glebovg
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Let S be any finite set and suppose [itex]x \notin S[/itex]. Let [itex]K = S \cup \left\{ x \right\}[/itex].

1. Prove that P(K) is the disjoint union of P(S) and [itex]X = \left \{T \subseteq K : x \in T \right\}[/itex]. That is, show that [itex]P(K) = P(S) \cup X[/itex] and [itex]P(S) \cap X = \emptyset [/itex]

2. Prove that every element of X is the union of a subset of S with {x}, and that if you take different subsets of S you get different elements of X. Argue that, therefore, X has the same number of elements as P(S).

3. Argue that the previous two parts allow you to conclude that if S is a finite set, then P(K) has twice as many elements as P(S).

I can do 1. Can anyone help with 2 and 3?
 
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  • #2
For 3), think of a bijection ; the subsets of K either contain x , or do not contain it. Try some small examples.
 
  • #3
For 2) any element T of X is subset of K with x inside it. x isn't in S so T must be at least {x}, but it can also include elements of S since K is the union of S and {x}. If you take two elements SU{x} and S'U{x} in X, thinking about the set SU{x}-S'U{x} should help you prove the last part.
 
  • #4
aeroplane, so I get [itex]S \cap \left\{ x \right\} - S^{c} \cup \left\{ x \right\} \Leftrightarrow \left\{ x \right\}^{c}[/itex]. How does it allow me to conclude that if we take different subsets of S we get different elements of X and that X has the same number of elements as P(S)?
 
  • #5
For two sets SU{x} and S'U{x} in X, SU{x}-S'U{x} is the empty set iff S=S'. Every set of X has to be at least {x}, so the difference between two elements has to be related to a difference in the subsets of S. Then you can think of X as P(S) where each element has {x} attached to it, so it must have the same number of elements.
 
  • #6
By S' do you mean the complement of S, or some other arbitrary set?
 
  • #7
Sorry, some other arbitrary set, S={s_1,s_2,...,s_n}, S'={s'_1,...,s'_n} since both are finite.
 
  • #8
Basically, for every set without a specific x, you can find a new set with that x, by adjoining x to any of the existing sets, and there are no other possible subsets of S\/{x}, since subsets of S\/{x} must contain either elements of S, or elements of {x}:

Maybe you can also use combinatorial identities:

Number of subsets of a set with n elements:

0-element subsets: nC0 ( " n choose 0" )

1-element subsets nC1

...

n-element subsets nCn

_____________________________

nC0+nC1+...+nCn = (1+1)n

Now try for (n+1) elements.
 
  • #9
Thank you.
 
  • #10
No problem; glad I could help.
 

FAQ: Proving Properties of P(K) when x $\notin$ S

What does P(K) represent in this context?

P(K) represents the set of all possible subsets of the set K. In other words, P(K) is the power set of K.

How is the property of P(K) being "proven"?

In this context, proving the properties of P(K) means using mathematical techniques to demonstrate the validity of certain statements or equations related to P(K).

What is the significance of x not being an element of S?

When x is not an element of the set S, it means that x is not included in the set S. This can have implications for the properties of P(K) in relation to S.

Are there any limitations to proving properties of P(K) when x $\notin$ S?

One limitation is that the properties may not hold true if x is an element of S. Additionally, certain mathematical techniques may not be applicable when x is not an element of S.

How can the properties of P(K) be applied in practical situations?

The properties of P(K) can be used in various areas of mathematics, such as set theory, combinatorics, and probability. They can also have real-world applications in computer science, data analysis, and decision-making processes.

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