How can we compare the lower envelope of a function with the function itself?

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In summary: This proves the first desired inequality. The second desired inequality is often used as the definition of lower semi-continuity, so it is proved in a similar way, but with the roles of $x$ and $t$ reversed.
  • #1
joypav
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Problem:
Let f be a real-valued function defined on [a,b]. We define the lower envelope of f to be the function g defined by
$g(y) = sup_{\delta>0}inf_{\left| x-y \right|<\delta} f(x)$

(a) Show that for each $x \in [a,b]$, $g(x) \leq f(x)$ and $g(x) = f(x)$ if and only if f is lower semi-continuous at x.

(b) If f is bounded, then g is lower semi-continuous.

(c) If $\phi$ is any lower semi-continuous function such that $\phi(x) \leq f(x)$ for all $x \in [a,b]$, then $\phi(x) \leq g(x)$ for all $x \in [a,b]$.

Proof:
Part (a).
I am confused by the definition for the lower envelope. How do we compare g(x) and f(x)? I am confused about what x would be approaching in our definition for g(y), which is basically the liminf.


Part (b).
Let $\epsilon > 0$.
Then, $\exists \delta > 0$ such that,
$f(x) > g(x_0) + \epsilon$ for $x \in (x_0-\delta, x_0+\delta)$

Let $x \in (x_0-\delta, x_0+\delta)$ be given and let $n = \delta - \left| x-x_0 \right|$.
Then,
$g(x) = lim_{y \rightarrow x}inf f(y) \geq inf_{y \in (x_0-\delta, x_0+\delta)} f(y) \geq g(x_0) + \epsilon$

x arbitrary in $ (x_0-\delta, x_0+\delta) $
$\implies lim_{x\rightarrow x_0}inf g(x) \geq inf_{x \in (x_0-\delta, x_0+\delta)} g(x) \geq g(x_0) + \epsilon$

$\epsilon$ arbitrary
$\implies lim_{x\rightarrow x_0} g(x) \geq g(x_0)$.
 
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  • #2
Hi joypav,

I agree that it can be a bit confusing on how to compare $g(x)$ with $f(x)$, especially since we are using $y$ to define the function $g$ and $x$ as a dummy variable in $g$'s definition. Nevertheless, in order to match the notation of part (a), let's first make the changes $y \mapsto x$ and $x\mapsto t.$ Now $t$ is the dummy variable instead of $x$ so that $$g(x)=\sup_{\delta >0}\inf_{|t-x|<\delta}f(t).$$ Now, note that for each $\delta >0$, $$\inf_{|t-x|<\delta}f(t)\leq f(x), \qquad\qquad (*)$$ because $t=x$ will satisfy $|t-x|<\delta$ for all $\delta >0.$ Thus, since $(*)$ holds for all $\delta >0,$ $f(x)$ is an upper bound for the set $$\left\{\inf_{|t-x|<\delta} f(t):\delta >0\right\}.$$ Hence, $f(x)$ must be greater than or equal to the supremum over this set; i.e., $$g(x)\leq f(x).$$
 
  • #3


This shows that g is lower semi-continuous.

Part (c).
Let $x \in [a,b]$ be given.
Then,
$\phi(x) \leq f(x) \leq g(x)$.
Since $\phi$ is lower semi-continuous,
$lim_{y\rightarrow x} \phi(y) \leq \phi(x) \leq g(x)$.
Since $\phi(x) \leq g(x)$, we can take the limit as $y \rightarrow x$ and conclude that
$\phi(x) \leq g(x)$ for all $x \in [a,b]$.
 

FAQ: How can we compare the lower envelope of a function with the function itself?

What is the Lower Envelope of a Function?

The Lower Envelope of a Function is the curve that lies on or below a given set of curves, representing the minimum value of those curves at each point. It is also known as the lower bound or infimum of a set of curves.

How is the Lower Envelope of a Function calculated?

The Lower Envelope of a Function is calculated by finding the minimum value of each point on a set of curves. This can be done by graphically plotting the curves and identifying the lowest point at each point, or by using mathematical methods such as differentiation and optimization.

What is the significance of the Lower Envelope of a Function?

The Lower Envelope of a Function is significant in many fields of science and engineering, as it helps to determine the minimum or optimal value of a set of curves. It can be used to analyze data, optimize processes, and solve optimization problems.

What is the difference between the Lower Envelope of a Function and the Convex Hull of a Function?

The Lower Envelope of a Function represents the minimum value of a set of curves, while the Convex Hull of a Function represents the shape that encloses a set of points. The Lower Envelope is a curve, while the Convex Hull is a polygon. Additionally, the Lower Envelope may have concave sections, while the Convex Hull is always convex.

In what areas of science is the Lower Envelope of a Function commonly used?

The Lower Envelope of a Function is commonly used in areas such as mathematics, physics, engineering, economics, and computer science. It can be applied to various problems such as optimizing functions, analyzing data, and modeling real-world phenomena.

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