Smoothness of multivariable function

In summary, we are considering a function $f^*$ defined as the product of a smooth function $f$ and a bump function $h$ that is positive on the interior of a ball $B_\epsilon^m(0)$ and $0$ outside of it. We want to show that $f^*$ is also smooth on $\mathbb{R^m}$. To prove this, we note that $f^*$ is smooth on $B_{2\epsilon}^m(0)$ because it is equal to $hf$ there, and also on $\mathbb{R^m}-\overline{B_\epsilon^m(0)}$ because it is zero there. Furthermore, on the open
  • #1
JYM
14
0
Let $h$ be a bump function that is $0$ outside $B_\epsilon^m(0)$ and posetive on its interior.

Let $f$ be smooth function on $B_{2\epsilon}^m(0)$.

Define $f^*(x)=h(x)f(x)$ if $x\in B_{2\epsilon}^m(0)$ and $=0$ if $x\in \mathbb{R^m}-B_\epsilon^m(0)$.

I want to show that $f^*$ is smooth on $\mathbb{R^m}$.

I proceed as follows.

Clearly $f^*$ is smooth on $x\in B_{2\epsilon}^m(0)$ as it is equal to $hf$ there, and also smooth on $\mathbb{R^m}-\overline{B_\epsilon^m(0)}$ as it is zero there.

Moreover, on the open intersection $B_{2\epsilon}^m(0)-\overline{B_\epsilon^m(0)}$ both definitions agree.

Thus $f^*$ is smooth on $\mathbb{R^m}$. Is my reasoning correct? Thanks.
 
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  • #2
sounds exactly right, but hard to read.
 
  • #3
Thanks.
 

Related to Smoothness of multivariable function

1. What does it mean for a multivariable function to be smooth?

Smoothness of a multivariable function refers to the continuity and differentiability of the function at all points within its domain. This means that the function has no abrupt changes or corners and its derivative exists at every point.

2. How is smoothness of a multivariable function related to its graph?

A smooth multivariable function will have a graph that appears to be a continuous, unbroken surface. This means that there are no sudden changes in the slope or curvature of the graph, and it will not have any sharp corners or edges.

3. Can a multivariable function be smooth at some points and not at others?

Yes, a multivariable function can have different levels of smoothness at different points within its domain. It is possible for a function to be smooth at some points and not at others, depending on the behavior of the function at those specific points.

4. How is the smoothness of a multivariable function related to its partial derivatives?

A multivariable function is considered smooth if all of its partial derivatives exist and are continuous. This means that the function must have a well-defined derivative in every direction within its domain.

5. Are there any applications of smoothness in real-world problems?

Smoothness is an important concept in many real-world problems, such as optimization and machine learning. It allows us to identify optimal solutions and make predictions based on continuous, well-behaved functions. Additionally, smoothness is a key property in many physical and natural phenomena, such as the smoothness of a river's surface or the smoothness of a mountain's slope.

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