Undergrad Inequality with integral and max of derivative

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SUMMARY

The discussion centers on an inequality involving the integral of a function multiplied by the difference of a function and its value at zero. Specifically, it examines the expression $$\left| \int_{-\infty}^{+\infty} f_n(x)(g(x)-g(0)) \, \mathrm{d}x \right| \le \max{ \left| g'(x) \right| } \int_{-\infty}^{+\infty} f_n(x)\left| x \right| \, \mathrm{d}x$$ where $$f_n(x)=\sqrt{\frac{n}{\pi}} \mathrm{e}^{-n x^2}$$. The proof utilizes the Cauchy–Schwarz inequality and properties of derivatives, demonstrating that $$|g(x) - g(0)|$$ can be bounded by $$|x|\max |g'|$$. The integral of $$f_n(x)|x|$$ evaluates to $$(n\pi)^{-1/2}$$, confirming the inequality's validity.

PREREQUISITES
  • Understanding of Fourier Analysis concepts
  • Familiarity with integral calculus
  • Knowledge of Cauchy–Schwarz inequality
  • Basic principles of derivatives and their properties
NEXT STEPS
  • Study the properties of Fourier transforms and their applications
  • Learn about the Cauchy–Schwarz inequality in depth
  • Explore advanced topics in integral calculus, particularly improper integrals
  • Investigate the implications of the Mean Value Theorem in calculus
USEFUL FOR

Mathematicians, students of advanced calculus, and anyone interested in the applications of Fourier Analysis and inequalities in mathematical proofs.

RaamGeneral
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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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It seems
|g(x)-g(0)|=|\int_0^x g'(t) dt| < max |g'| |x|
where max |g'| is maximum in domain 0<t<x .
 
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Likes RaamGeneral
First use <br /> \left| \int_{-\infty}^{\infty} f(x)\,dx \right| \leq \int_{-\infty}^\infty |f(x)|\,dx. The given result would then follow from
|g(x) - g(0)| = \left|\int_0^x g&#039;(t)\,dt\right| \leq |x|\max |g&#039;|.
 
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Likes RaamGeneral
For the given f_n(x), the integral is
\int_{-\infty}^{+\infty} f_n(x)|x|dx=\int_0^{+\infty}\sqrt{\frac{n}{\pi}} \mathrm{e}^{-n t} dt=(n\pi)^{-1/2}
 
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