Proving g=f^-1: A Step-by-Step Guide

In summary, the given conversation discusses the functions f and g, where the composition of g and f is equal to the identity function for all x in the domain of f and the composition of f and g is equal to the identity function for all y in the domain of g. The goal is to prove that g is the inverse of f. By definition, g is the inverse of f if and only if f is a one-to-one function with a domain of D(f) and a range of D(g), and g(y)=x if and only if f(x)=y for all y in D(g). From the given information, it can be concluded that g=f^-1.
  • #1
Punkyc7
420
0
Let f and g be functions such that (g[itex]\circ[/itex]f)(x)=x for all x [itex]\epsilon[/itex]D(f) and (f[itex]\circ[/itex]g)(y)=y for all y [itex]\epsilon[/itex]D(g). Prove that a g = f^-1

Pf/

How would you go about starting this besides saying

Let f and g be functions such that (g[itex]\circ[/itex]f)(x)=x for all x [itex]\epsilon[/itex]D(f) and (f[itex]\circ[/itex]g)(y)=y for all y [itex]\epsilon[/itex]D(g).

isn't obvious that the functions would have to be the inverse of each other, How else could you get the identity? So how do you prove it, can I just say clearly it is.
 
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  • #2
What does g = f^-1 mean? My calc text gives this definition:

g = f^-1 if, and only if, f(x) is a one-to-one function with domain D(f) and range D(g) such that

g(y)=x <=> f(x)=y for all y in D(g).

Start with the given and prove this definition must be true.
 
  • #3
g= f^-1 means that g is the inverse of f
 
  • #4
How do you prove a definition true. If its a definition shouldn't it always be true?
 
  • #5
This is what I have been able to get to

(g[itex]\circ[/itex]f)(x)=x for all x ϵD(f) and (f[itex]\circ[/itex]g)(y)=y for all y ϵD(g).So choose
g(y)=x and f(x)=y

so

x=g(y)=f^-1(y)

ans since f and g are bijections we can conclude g=f^-1does that work
 

1. What is the definition of a function in real analysis?

A function in real analysis is a relation between a set of inputs (called the domain) and a set of outputs (called the range) that assigns each input a unique output. In other words, for every input value, there is only one corresponding output value.

2. How is a function represented in real analysis?

In real analysis, a function is typically represented using functional notation, such as f(x) or g(x). The variable x represents the input value, and the expression to the right of the function name represents the output value.

3. What is the difference between a continuous and a differentiable function in real analysis?

A continuous function is one that does not have any abrupt changes or breaks in its graph, meaning that the output values change smoothly as the input values change. A differentiable function, on the other hand, is one that has a well-defined slope (or derivative) at every point on its graph. Not all continuous functions are differentiable, but all differentiable functions are continuous.

4. How are limits used to analyze functions in real analysis?

Limits are a fundamental concept in real analysis and are used to study the behavior of functions as their input values approach a certain point. They allow us to determine if a function is continuous, differentiable, or has any points of discontinuity. Limits are also used to define important concepts such as derivatives and integrals.

5. What are the main techniques used to prove theorems about functions in real analysis?

In real analysis, there are several techniques used to prove theorems about functions. These include the use of epsilon-delta proofs, where we show that for any given small distance (epsilon), there exists a corresponding small interval (delta) around a point that satisfies the desired property. Other techniques include the use of mathematical induction, proof by contradiction, and direct proof using properties of real numbers.

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