Proving Function Properties with Subsets

In summary, the conversation covers two problems, 36 and 40, which involve proving using a membership proof that f(S∪T)= f(S)∪f(T) and f(S∩T)⊆f(S)∩f(T), respectively. The steps for the proofs are outlined, and the question of proving surjectivity is also discussed, with an example of f(x)= x^2 on the domains R and R+ given. The key is to pick a random member y0 of the codomain and prove that there is a corresponding x0 in the domain such that f(x0)= y0. This can be done by setting x= y^(1/2) for y in the
  • #1
Enjoicube
49
1
Alright, 2+1/2 problems here:

First:

36. Let F be a function from the set A to the set B. Let S and T be subsets of A. Show that:

a) f(S[tex]\cup[/tex]T)=f(S)[tex]\cup[/tex]f(T)
b)f(S[tex]\cap[/tex]T)[tex]\subseteq[/tex] f(S)[tex]\cap[/tex]f(T)

Note: This must be done using a membership proof. i.e. prove that f(S[tex]\cup[/tex]T)[tex]\subseteq[/tex]f(S)[tex]\cup[/tex]f(T) AND f(S)[tex]\cup[/tex]f(T)[tex]\subseteq[/tex]f(S[tex]\cup[/tex]T)


40. Let f be a function from A to B. Let S be a subset of B. We define the inverse image of S to be the subset of A whose elements are precisely all pre images of all elements of S. We denote the inverse image of S by f[tex]^{-1}[/tex](S) so f[tex]^{-1}[/tex](S)={a[tex]\in[/tex]A| f(a)[tex]\in[/tex]S}

Prove parts a and b of 36 substituting the inverse image for f, and an equality in both parts (rather than subset)

1) (not a question from the text). This was not covered in the lecture or in the book, but how do most people go about proving that a function is surjective from the definition?


Homework Equations


f[tex]^{-1}[/tex](S)={a[tex]\in[/tex]A| f(a)[tex]\in[/tex]S}
f(S)={f(s)|s[tex]\in[/tex]S}


The Attempt at a Solution


Alright, I only have an idea of how to do 36, 40 I am lost. The professor said to use proof by case for 36, so here is how I thought it would go:

a) prove:f(S[tex]\cup[/tex]T)=f(S)[tex]\cup[/tex]f(T)

Proof:

1) assume x[tex]\in[/tex] f(SUT), then, by definition x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]SUT}

2) If x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]SUT}, then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S or T} by definition of union.

3) If x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}, then x[tex]\in[/tex]f(S), and since f(S)[tex]\subseteq[/tex]f(S)Uf(T), thus if x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S} then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}[tex]\cup[/tex]{f(s)|s[tex]\in[/tex]T}.

4)If x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]T}, then x[tex]\in[/tex]f(T), and since f(T)[tex]\subseteq[/tex]f(S)Uf(T), thus if x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]T} then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}[tex]\cup[/tex]{f(s)|s[tex]\in[/tex]T}.

4)Therefore if x[tex]\in[/tex]f(SUT) then x[tex]\in[/tex]f(S)Uf(T)

5 Now we must prove that f(S)[tex]\cup[/tex]f(T)[tex]\subseteq[/tex]f(S[tex]\cup[/tex]T, to do this, just invert the steps of this proof (obviously I wouldn't put this on a test but to cut length, this is reasonable)

b)f(S[tex]\cap[/tex]T)[tex]\subseteq[/tex] f(S)[tex]\cap[/tex]f(T)

proof:

1) assume x[tex]\in[/tex] f(S[tex]\cap[/tex]T), then, by definition x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S[tex]\cap[/tex]T}

2) Then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S and T}.

3) Thus s[tex]\in[/tex]S and s[tex]\in[/tex]T and so, through simplification, we can say:

4) s[tex]\in[/tex]S, if s[tex]\in[/tex]S then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}

5) We can also say s[tex]\in[/tex]T, and if s[tex]\in[/tex]T then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]T}.

6) Therefore, if s[tex]\in[/tex]S and s[tex]\in[/tex]T, which are true, we have x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S} and x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]T} (we can say through addition).

7) Note that by the definition of intersection, x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}[tex]\cap[/tex]{f(s)|s[tex]\in[/tex]T}.

8) Therefore, if x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S[tex]\cap[/tex]T} then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}[tex]\cap[/tex]{f(s)|s[tex]\in[/tex]T}.

9)if x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S[tex]\cap[/tex]T} then x[tex]\in[/tex]{f(s)|s[tex]\in[/tex]S}[tex]\cap[/tex]{f(s)|s[tex]\in[/tex]T}.


10)This means f(S[tex]\cap[/tex]T)[tex]\subseteq[/tex]f(S)[tex]\cap[/tex]f(T).

For Problem 40, I am wondering whether the proofs follow the same steps, or is there something else I have to worry about?
 
Last edited:
Physics news on Phys.org
  • #2


To make this easier, forget problem 36, and 40, I can go in for help for that. Now my main question is on proving surjectivity: How is this done. I understand, you must pick a random member y0 of the codomain and prove that there is some value x0 from the domain such that f(x0)=y0, in practice however, this gives me trouble. For example, f(x)=x^2 isn't surjective on R-->R, however, it is surjective on R-->R+, how would one guarantee that the y0 value picked from the codomain reflects the restrictions put on it?
 
  • #3


Enjoicube said:
To make this easier, forget problem 36, and 40, I can go in for help for that. Now my main question is on proving surjectivity: How is this done. I understand, you must pick a random member y0 of the codomain and prove that there is some value x0 from the domain such that f(x0)=y0, in practice however, this gives me trouble. For example, f(x)=x^2 isn't surjective on R-->R, however, it is surjective on R-->R+, how would one guarantee that the y0 value picked from the codomain reflects the restrictions put on it?
By saying so? If you want to prove that f(x)= x2:R-->R+ is surjective, you would start by saying "Let y be in R+." Then you are looking for x in R such that x2= y. Since y is in R+, x= y1/2 exists.
 
  • #4


Aha, thank you, why it couldn't be explained as clearly as that in my text is beyond me.
 

FAQ: Proving Function Properties with Subsets

What is a function on sets and subsets?

A function on sets and subsets is a mathematical rule that assigns each element in a given set or subset to a unique element in another set or subset. This rule must be well-defined and must cover all elements in the given set or subset.

How is a function on sets and subsets different from a regular function?

A function on sets and subsets is different from a regular function in that it operates on sets and subsets instead of individual elements. It maps entire sets or subsets to other sets or subsets, rather than mapping individual elements to other elements.

What is the domain and range of a function on sets and subsets?

The domain of a function on sets and subsets is the set or subset of elements that the function operates on. The range is the set or subset of elements that the function maps the domain elements to.

How do you determine if a function on sets and subsets is injective, surjective, or bijective?

A function on sets and subsets is injective if each element in the range is mapped to by only one element in the domain. It is surjective if every element in the range has at least one element in the domain that maps to it. It is bijective if it is both injective and surjective.

Can a function on sets and subsets have more than one inverse?

No, a function on sets and subsets can only have one inverse. The inverse function is a function that reverses the mapping of the original function, and it must be unique for the function to be well-defined.

Back
Top