Image of each open subset is open

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In summary: R}\times\mathbb{R}\rightarrow\mathbb{R}$, where we have the mapping $F:\mathbb{R}\times\mathbb{R}\rightarrow \mathbb{R}$ given by $F(x,y) = x^{2}-y.$ Now, since $f$ is a local diffeomorphism, we have that $F(x,y)=0$ is the same as the equation $y=x^{2}$, and this equation defines our inverse function $g$, namely, $g(x) = \sqrt{x}$ on $(0,\infty)$ and $g(x
  • #1
mathmari
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Hey! :eek:

I want to show the following:

Let $G \subset \mathbb{R}^n$ be open, $f \in C^1(G)$ and $\det J_f(x) \neq 0$ for all $x \in G$. Then $f$ is an open map, i.e. the image $f(O)$ of each open subset $O$ of $G$ is open.

The following hint is given:

Let $O \subset G$ be open. Apply at the function $F : O\times \mathbb{R}^n \rightarrow \mathbb{R}^n$ with $F(x,y) = f(x)-y$ and $f(x_0) = y_0$; $x_0 \in O$ the proposition of implicit function.
Using the function of the hint the condition of the proposition are satisfied, aren't they?

Do we not get from that sentence that we can uniquely solve for $y_0$ the relation $F(x_0,y_0)=0$, or not?

But what do we get from that? (Wondering)
 
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  • #2
Hi mathmari,

Here are a few hints to try to push things along:
  • Note that $F(x_{0},y_{0})=0$ and that $J_{F,x}(x_{0},y_{0})=J_{f}(x_{0}),$ where $$J_{F,x}(x_{0},y_{0})=\left[\frac{\partial F_{i}}{\partial x_{j}} (x_{0},y_{0})\right].$$
  • Using the assumption on $J_{f}(x)$, we can apply the implicit function theorem to $F(x,y)$.
  • From the implicit function theorem there is a neighborhood, $V$, of $y_{0}$ and a differentiable mapping $g$ such that $x=g(y)$ and $F(g(y),y) = 0$ for $y\in V$.
  • We can then show that $f$ and $g$ are (locally) inverses of each other. The differentiability (and therefore continuity) of $f$ and $g$ imply that $f(O)$ is open.

In math-speak $f$ is known as a local diffeomorphism and it is true that every local diffeomorphism is an open mapping.
 
  • #3
GJA said:
  • Note that $F(x_{0},y_{0})=0$ and that $J_{F,x}(x_{0},y_{0})=J_{f}(x_{0}),$ where $$J_{F,x}(x_{0},y_{0})=\left[\frac{\partial F_{i}}{\partial x_{j}} (x_{0},y_{0})\right].$$
  • Using the assumption on $J_{f}(x)$, we can apply the implicit function theorem to $F(x,y)$.
  • From the implicit function theorem there is a neighborhood, $V$, of $y_{0}$ and a differentiable mapping $g$ such that $x=g(y)$ and $F(g(y),y) = 0$ for $y\in V$.
  • We can then show that $f$ and $g$ are (locally) inverses of each other. The differentiability (and therefore continuity) of $f$ and $g$ imply that $f(O)$ is open.

In math-speak $f$ is known as a local diffeomorphism and it is true that every local diffeomorphism is an open mapping.

At the last point why do we have that $f$ and $g$ are locally inverses of each other? What exactly does this mean?

Also we have that $f\in C^1(G)$ then it follows that $g\in C^1(G)$, or not?
But why does this imply that $f(O)$ is open? Could you explain this further to me?

(Wondering)
 
  • #4
Hi mathmari,

I will try to clear up the points of confusion. All good questions.

mathmari said:
At the last point why do we have that $f$ and $g$ are locally inverses of each other? What exactly does this mean?

This means that $f$ possesses an inverse when restricted to small enough open sets about points in its domain. For example, the function $f:\mathbb{R}\rightarrow [0,\infty)$ defined by $f(x) = x^{2}$ is not 1-1 on $\mathbb{R}$, so there does not exist a globally defined inverse $g: [0,\infty)\rightarrow \mathbb{R}$ on the range space, such that $f(g(x))=x$ and $g(f(x)) = x$; i.e., that $f$ and $g$ are inverses of each other.

However, $f$ is locally 1-1 at all points in $\mathbb{R}$ except at $x=0.$ What this means is that if we fix $x_{0}\in\mathbb{R}\setminus\{0\}$, we can always find an open ball (=interval in $\mathbb{R}$) about $x_{0}$ - say $B(x_{0})$ - such that the restriction $f|_{B(x_{0})}$ of $f$ to $B(x_{0})$ is 1-1. For such an $x_{0}$ we know exactly what the formula for $g$ should be: $$g(x)=\begin{cases}\sqrt{x} & x_{0}>0\\ -\sqrt{x} & x_{0}<0. \end{cases}$$ In general, however, we don't always have an explicit formula for the inverse function (Note: this is precisely the content of the implicit/inverse function theorem: it tells you such an inverse exists under the right conditions but does not tell you what the function is).Notice that this example closely parallels (though not exactly) the example you've asked about. How so? Because the Jacobian in this case is given by the derivative $f'(x) = 2x$. Notice that $f'(x)\neq 0$ on $\mathbb{R}\setminus\{0\}$ and it is precisely on the set $\mathbb{R}\setminus\{0\}$ that $f$ possesses local inverses (indeed, this is the implicit function theorem applied to this problem).

The intuition behind the implicit function theorem is the following: The best linear approximation (i.e., the Jacobian) of a continuously differentiable function approximates the function well enough that if the Jacobian mapping is invertible (i.e., has non-zero determinant), then the function will be locally invertible too.

Combined with the previous example and the statement regarding the intuition behind the theorem, hopefully it now seems plausible what the assumption means in the problem you originally asked: $f:O\rightarrow f(O)$ should be locally invertible because $\text{det}\,J_{f}(x)\neq 0$ at all points of $O\subset G$.

As a second example, $f:\mathbb{R}\rightarrow\mathbb{R}$ defined by $f(x)=x^{3}$ possesses a global inverse (namely, $g(x) = \sqrt[3]{x}$). This means we do not need to worry about neighborhoods of points in $f$'s domain because $f$ is 1-1 on its entire domain. It is true, nevertheless, that $f$ is locally invertible because you could always choose the neighborhood of a given point to be $\mathbb{R}$ itself.

EDIT: In simplest terms, to say that something is true locally means that it holds on particular subsets and not necessarily on the whole domain.

mathmari said:
Also we have that $f\in C^1(G)$ then it follows that $g\in C^1(G)$, or not?

$g$ will be $C^{1}$ on the open subset $V$ about $y_{0}$ contained in the range $f(O),$ not $G$. All of this information is what is given to us by the implicit function theorem.

mathmari said:
But why does this imply that $f(O)$ is open? Could you explain this further to me?

There are a few ways of showing this. The basic reasoning goes something like this: we are now guaranteed by the implicit function theorem that for each point $y_{0}$ in $f(O)$ and each fixed $x_{0}$ in the pre-image $f^{-1}(\{y_{0}\})$ that there are open sets about the chosen $x_{0}$ from the pre-image and $y_{0}$ that are in bijection with one another. Hence, the open set about $y_{0}$ must lie entirely within $f(O)$. Since $y_{0}$ was chosen arbitrarily, $f(O)$ is an open set.

To illustrate this point, let's revert back to the prior example of $f(x) = x^{2}$, where we are thinking of $f$ as defined on $O=\mathbb{R}\setminus\{0\}$, and note that $f'(x)\neq 0$ for all $x\in O$. Take, for the sake of example, $y_{0}=4.$ Then, $\{-2,2\} = f^{-1}(\{4\}).$ Since $f'(-2)=-4\neq 0$ and $f'(2)=4\neq 0$, according to the implicit function theorem whether we choose $x_{0}=-2$ or $x_{0}=2$ there will be an open set about $x_{0}$ and another open set, say $V$, about $y_{0}=4$ such that the two sets are in bijection. Since $V$ is in bijection with a subset of the domain it must lie entirely within the range of $f$. Since $y_{0}$ is arbitrary and $V$ is open, $f(O)$ is open (in fact, direct calculation shows that it is equal to $(0,\infty)$).

Note here that we didn't actually determine what the open sets were, we just know they must exist according to the theorem. This is common in math to know only that something exists and what its properties are (in this case that $V$ is open and $g$ is $C^{1}(V)$), even if you don't have an exact formulation for what you're talking about. If it helps, one possible choice of open sets if $x_{0}=2$ is chosen would be $V=(0,9)$ and $B(2)=(0,3).$ Then $f|_{B(2)}$ is a bijection from $B(2)$ to $V$ with inverse $g(x)=\sqrt{x}$ defined on $V$. Note that $g$ is indeed $C^{1}(V).$
 
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  • #5
Thank you for the explanation! (Yes)
 

What does the statement "Image of each open subset is open" mean?

The statement "Image of each open subset is open" refers to a property in topology, which states that for any given open subset in a topological space, the image of that subset under a continuous mapping will also be open.

Why is the property "Image of each open subset is open" important?

This property is important because it allows us to preserve the openness of subsets under continuous mappings. This is useful in many applications, such as in differential geometry and topology, where we need to ensure that certain properties of a space are preserved under transformations.

What is an example of a continuous mapping that preserves the property "Image of each open subset is open"?

An example of a continuous mapping that preserves this property is the exponential function, which maps open intervals in the real line to open intervals in the positive real line. For example, the open interval (0,1) is mapped to the open interval (1,e).

Is the converse of the property "Image of each open subset is open" true?

No, the converse of this property is not always true. Just because the image of an open subset is open, it does not necessarily mean that the subset itself is open. In order for the converse to hold, the mapping must be a homeomorphism, which is a bijective and continuous mapping with a continuous inverse.

How is the property "Image of each open subset is open" related to the concept of continuity?

This property is closely related to the concept of continuity. It essentially states that a continuous mapping will not "break apart" open subsets, but will preserve their openness. In other words, if a mapping is continuous, then the image of an open subset will also be open.

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