Inequality with integral and max of derivative

In summary, the given example/proof involves an inequality where the absolute value of an integral is less than or equal to the maximum of the absolute value of the derivative of a function multiplied by the integral of another function. This is then used to show that the integral of a specific function is equal to a constant, given the function's parameters. The author also mentions trying to use other inequalities, such as Cauchy-Schwarz, before arriving at this result. The post also mentions some issues with the preview feature.
  • #1
RaamGeneral
50
1
Hi. I was reading Lighthill, Introduction to Fourier Analysis and Generalised Functions and in page 17 there is an example/proof where I can't make sense of the following step:
$$
\left| \int_{-\infty}^{+\infty} f_n(x)(g(x)-g(0)) \, \mathrm{d}x \right| \le
\max{ \left| g'(x) \right| } \int_{-\infty}^{+\infty} f_n(x)\left| x \right| \, \mathrm{d}x
$$

where in particular
$$
f_n(x)=\sqrt{\frac{n}{\pi}} \mathrm{e}^{-n x^2}
$$

I have actually tried for some time, exploring some inequalities like Cauchy–Schwarz.

Also, I couldn't get the preview of this post to work, while creating, is this a known issue?
 
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  • #2
It seems
[tex]|g(x)-g(0)|=|\int_0^x g'(t) dt| < max |g'| |x| [/tex]
where max |g'| is maximum in domain 0<t<x .
 
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  • #3
First use [tex]
\left| \int_{-\infty}^{\infty} f(x)\,dx \right| \leq \int_{-\infty}^\infty |f(x)|\,dx.[/tex] The given result would then follow from
[tex]|g(x) - g(0)| = \left|\int_0^x g'(t)\,dt\right| \leq |x|\max |g'|.[/tex]
 
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  • #4
For the given f_n(x), the integral is
[tex]\int_{-\infty}^{+\infty} f_n(x)|x|dx=\int_0^{+\infty}\sqrt{\frac{n}{\pi}} \mathrm{e}^{-n t} dt=(n\pi)^{-1/2}[/tex]
 

FAQ: Inequality with integral and max of derivative

What is the concept of "inequality with integral and max of derivative" in mathematics?

The concept of "inequality with integral and max of derivative" is a mathematical method used to determine the relationship between the integral and the maximum value of a function's derivative. It involves finding the maximum value of the derivative of a function and using it to establish an upper bound for the integral of the function.

How is "inequality with integral and max of derivative" used in real-world applications?

This concept is commonly used in physics, engineering, and economics to analyze and optimize systems. For example, it can be used to determine the maximum velocity of a moving object or the optimal production level for a business.

What are the key steps to solving an "inequality with integral and max of derivative" problem?

The first step is to find the derivative of the given function and determine its maximum value. Then, find the integral of the function and use the maximum value of the derivative to establish an upper bound for the integral. Finally, solve the inequality to find the range of possible values for the integral.

Are there any limitations or assumptions to consider when using "inequality with integral and max of derivative"?

One limitation is that the function must be continuous and differentiable in the given range. Additionally, this method assumes that the maximum value of the derivative is a good approximation for the entire function, which may not always be the case.

How does "inequality with integral and max of derivative" relate to other mathematical concepts?

This concept is closely related to the fundamental theorem of calculus, which states that the integral of a function can be evaluated by finding its antiderivative. It also connects to optimization problems, as finding the maximum value of the derivative is a common step in optimizing a function.

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