Continuity of inverse function at endpoints

In summary, we have a strictly increasing and continuous function $f$ on a closed interval $[a, b]$, with $c = f(a)$ and $d = f(b)$. The inverse function $g$ is then also strictly increasing and continuous on $[c, d]$. To show that $g$ is continuous at its endpoints $c$ and $d$, we can use a one-sided continuity argument. By the bijective mapping of $g$ onto $[a, b]$, for any given $\varepsilon>0$, there exists a point $z \in [c, d]$ such that $g(z) = a + \varepsilon$. This allows us to show that $
  • #1
Dave1
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Hello!

*Let $f$ be a strictly increasing continuous function on a closed interval $[a, b]$, let $c = f(a), d = f(b)$, and let $g:[c, d] → [a, b]$ be its inverse. Then $g$ is a strictly increasing continuous function on $[c, d]$.*

How can it be shown that $g$ is continuous at its endpoints $c$ and $d$? I am not familiar with one-sided continuity arguments...
 
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  • #2
Dave said:
Hello!

*Let $f$ be a strictly increasing continuous function on a closed interval $[a, b]$, let $c = f(a), d = f(b)$, and let $g:[c, d] → [a, b]$ be its inverse. Then $g$ is a strictly increasing continuous function on $[c, d]$.*

How can it be shown that $g$ is continuous at its endpoints $c$ and $d$? I am not familiar with one-sided continuity arguments...
You know that $g$ maps $[c,d]$ bijectively onto $[a,b]$. Given $\varepsilon>0$, there exists $z \in [c,d]$ with $g(z) = a + \varepsilon$ (unless $a + \varepsilon >b$, in which case replace $a + \varepsilon$ by $b$ in what follows). Then $g$ maps $[c,z]$ bijectively onto $[a,a + \varepsilon]$ (because $g$, like $f$, is a strictly increasing function). Let $\delta = z-c$. Then $$c \leqslant y < c + \delta\; \Rightarrow \; y<z\; \Rightarrow \; g(y) < a + \varepsilon\; \Rightarrow \; |g(y) - g( c)| < \varepsilon.$$ That shows that $g$ is continuous (on the right) at $c$. A similar argument shows that $g$ is continuous (on the left) at $d$.
 

Related to Continuity of inverse function at endpoints

1. What is the definition of continuity of inverse function at endpoints?

The continuity of inverse function at endpoints refers to the smoothness of the inverse function at the endpoints of its domain. In other words, it describes whether the inverse function has a well-defined value at the endpoints of its domain.

2. How is continuity of inverse function at endpoints different from continuity at other points?

While continuity at other points describes the smoothness of a function at any given point in its domain, the continuity of inverse function at endpoints specifically looks at the behavior of the inverse function at the endpoints of its domain. It is possible for a function to be continuous at all points but not have continuity of inverse function at endpoints.

3. How can I determine if a function has continuity of inverse function at endpoints?

To determine if a function has continuity of inverse function at endpoints, you can use the following criteria: 1) the function must have an inverse, 2) the inverse function must have a well-defined value at the endpoints of its domain, and 3) the inverse function must be continuous at those endpoints.

4. What are the implications of a function not having continuity of inverse function at endpoints?

If a function does not have continuity of inverse function at endpoints, it means that the inverse function is not well-defined at the endpoints of its domain. This can lead to discontinuities in the inverse function and may affect the overall behavior of the function.

5. Can a function have continuity of inverse function at endpoints but not be continuous at other points?

Yes, it is possible for a function to have continuity of inverse function at endpoints but not be continuous at other points. This is because the criteria for continuity at endpoints is different from the criteria for continuity at other points. However, it is not possible for a function to be continuous at all points but not have continuity of inverse function at endpoints.

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