Differentiation and Lebesgue integration

In summary, we want to show that for any given \epsilon > 0, we can find a \delta > 0 such that the limit of the fraction \left| \frac{1}{h} \int_y^{y+h} f - f(y) \right| is less than \epsilon when |h| is less than \delta. This can be achieved by using the continuity of f at y and setting \delta = \epsilon. Thus, g'(y) = f(y) if y\in (0,\infty) is a point of continuity of f.
  • #1
AxiomOfChoice
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Homework Statement


Suppose [itex]g(x) = \int_0^x f(t) dt[/itex], where [itex]f[/itex] is Lebesgue integrable on [itex]\mathbb R[/itex]. Give an [itex]\epsilon - \delta[/itex] proof that [itex]g'(y) = f(y)[/itex] if [itex]y\in (0,\infty)[/itex] is a point of continuity of [itex]f[/itex].


Homework Equations





The Attempt at a Solution


I know I need to show that
[tex]
f(y) = \lim_{h\to 0} \int_y^{y+h} \frac{1}{h} f(t) dt.
[/tex]
My idea was to try to do this in terms of sequences; i.e., to let [itex]\{h_n\}[/itex] be any sequence of real numbers such that [itex]h_n \to 0[/itex], and then to phrase the limit above in terms of a limit as [itex]n\to \infty[/itex]. I had then planned to use something like the dominated convergence theorem. But I don't have any idea how to make use of the hypothesis that [itex]f[/itex] is continuous at [itex]y[/itex], so I'm not sure if this is the right approach.
 
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  • #2
could you look at it as follows:
[tex]f(y) = \lim_{h\to 0} \frac{1}{h} \int_y^{y+h} f(t) dt[/tex]

then use the conitinuity of f to show that as h gets small
[tex] \int_y^{y+h} f(t) dt \approx f(t).h[/tex]
 
  • #3
Ok. I think I know how to do this. Here is a complete solution: Let [itex]f \in L^1(\mathbb R)[/itex]. We want to show that, given any [itex]\epsilon > 0[/itex], we can find a [itex]\delta > 0[/itex] such that
[tex]
\left| \frac{1}{h} \int_y^{y+h} f - f(y) \right| < \epsilon
[/tex]
whenever [itex]|h| < \delta[/itex]. Since [itex]f[/itex] is continuous at [itex]y[/itex], we know we can find a [itex]\delta[/itex] such that [itex]|t - y| < \delta[/itex] implies [itex]|f(t) - f(y)| < \epsilon[/itex]. So, if we make [itex]|h| < \delta[/itex], we have
[tex]
\begin{align*}
\left| \frac{1}{h} \int_y^{y+h} f - f(y) \frac{1}{h} \int_y^{y+h} f \right|
& \leq \frac{1}{h} \int_y^{y+h} \left| f(t) - f(y) \right| dt\\
& \leq \frac{1}{h} \int_y^{y+h} \epsilon dt = \epsilon.
\end{align*}
[/tex]

That does it, I think.
 
  • #4
There is a typo, you should write:
[tex]
\left| \frac{1}{h} \int_y^{y+h} f - f(y) \right| =\Bigg|\frac{1}{h}\int_{y}^{y+h}f-f(y)\int_{y}^{y+h}\frac{1}{h}\Bigg|
[/tex]
 

FAQ: Differentiation and Lebesgue integration

1. What is the definition of differentiation and Lebesgue integration?

Differentiation is a mathematical process of determining the rate at which a quantity changes with respect to another quantity. Lebesgue integration is a method of calculating the area under a curve by dividing it into smaller, more manageable pieces and summing them up.

2. How is differentiation and Lebesgue integration different from other methods of differentiation and integration?

Differentiation and Lebesgue integration are different from other methods because they do not require the function to be continuous or differentiable. This makes them more general and applicable to a wider range of functions.

3. What are the main applications of differentiation and Lebesgue integration in science?

Differentiation and Lebesgue integration have many applications in science, including physics, economics, and engineering. They are used to model and understand change and to calculate important quantities such as velocity, acceleration, and area under a curve.

4. What are some common techniques used in differentiation and Lebesgue integration?

Some common techniques used in differentiation and Lebesgue integration include the chain rule, product rule, and integration by parts. Other techniques may also be used depending on the specific problem at hand.

5. How is the concept of measure theory related to Lebesgue integration?

Measure theory is the foundation of Lebesgue integration. It provides a rigorous framework for defining and calculating the area under a curve for more general types of functions, including those that are not continuous or differentiable. Lebesgue integration extends the concept of Riemann integration, which is based on partitioning the x-axis into equally sized intervals, to a more flexible and powerful method.

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