Preimage and function composition?

In summary, the preimage of a subset A of the codomain T under a function f is defined as the set of all elements in the domain S whose image under f is in A. For any function f and a subset B of the range of f, the preimage of B under f is equal to B. Function composition can be used to prove this, but it is important to remember that the notation f-1 is being used to define a function from the power set of T to the power set of S.
  • #1
SMA_01
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Homework Statement



Let f:S→T and let A[itex]\subseteq[/itex]T. Define the preimage of A as f-1(A)={x in S: f(x) is in A}.
Demonstrate that for any such map f and B[itex]\subseteq[/itex]ran(f), f(f-1(B)) = B.

I am going to use set inclusion to prove this, but can I use function composition in the portion in red? I was going to say an element y is in f(f-1(B)) and then was thinking to apply function composition so as to map an element x back to S then apply f to it and map the new element to B.
Does this seem right?

Thanks.
 
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  • #2
SMA_01 said:
I am going to use set inclusion to prove this, but can I use function composition in the portion in red? I was going to say an element y is in f(f-1(B)) and then was thinking to apply function composition so as to map an element x back to S then apply f to it and map the new element to B.
.
It's not exactly function composition, because [itex]f^{-1}[/itex] isn't necessarily a function. This is because, for a given [itex]y[/itex] in the image of [itex]f[/itex], there may be more than one [itex]x[/itex] satisfying [itex]y = f(x)[/itex].

The way to interpret the expression in red is that [itex]f^{-1}(B)[/itex] is the set of all [itex]x[/itex] such that [itex]f(x) \in B[/itex]. And f(f^{-1}(B)) is the image of that set under [itex]f[/itex].
 
  • #3
SMA_01 said:

Homework Statement



Let f:S→T and let A[itex]\subseteq[/itex]T. Define the preimage of A as f-1(A)={x in S: f(x) is in A}.
Demonstrate that for any such map f and B[itex]\subseteq[/itex]ran(f), f(f-1(B)) = B.

I am going to use set inclusion to prove this, but can I use function composition in the portion in red? I was going to say an element y is in f(f-1(B)) and then was thinking to apply function composition so as to map an element x back to S then apply f to it and map the new element to B.
Does this seem right?

Thanks.

For what it's worth, it's good to remember that the notation f-1 is actually being abused here. This is the normal use, but it's good to remember what it means.

f is a function from S -> T; and at some other time in class we may have occasion to talk about its inverse function f-1 : T -> S.

However here we're not doing that. f-1 is being defined as a function from the power set of T to the power set of S; that is,

f-1 : P(T) -> P(S)

For each subset of T, we define P(T) as a particular subset of S.

You have to be careful to remember that f goes left to right from points to points, and f-1 goes from right to left from subsets to subsets.
 
  • #4
I see, thank you! I was a little hesitant with using composition, but now I know to just use the definition of preimage and I think that should do the trick.
 

FAQ: Preimage and function composition?

What is a preimage in mathematics?

A preimage, also known as the inverse image, is a set of all inputs or elements that produce a specific output or element when applied to a given function.

How do you find the preimage of a given function?

To find the preimage of a given function, you need to use the inverse function or the inverse operation. For example, if the function is f(x) = 2x, the inverse function would be f^-1(x) = x/2.

What is function composition and how is it related to preimage?

Function composition is the process of combining two or more functions to create a new function. It is related to preimage because when composing functions, the preimage of the resulting function is the preimage of the individual functions working together.

Can you provide an example of function composition and its preimage?

An example of function composition is f(g(x)) where f(x) = x^2 and g(x) = x+1. The resulting function would be f(g(x)) = (x+1)^2. The preimage of this resulting function would be the preimage of f(x) and g(x) working together, which is the set of all inputs that produce a specific output when applied to both functions.

What is the significance of preimage and function composition in practical applications?

Preimage and function composition are important concepts in mathematics and have practical applications in fields such as computer science, engineering, and physics. They are used to model and solve real-world problems by breaking them down into smaller, more manageable functions and finding their preimages to determine the inputs that produce a desired output.

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