Inequality involving Gaussian integral

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Discussion Overview

The discussion revolves around the inequality involving Gaussian integrals, specifically comparing the integral of \( e^{-x^2} \) from 0 to 1 with the integral of \( e^{x^2} \) from 1 to 2. Participants explore methods to evaluate and compare these integrals, including the use of the squeeze theorem and properties of increasing functions.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant presents the inequality \( \int_0^1 e^{-x^2} \leq \int_1^2 e^{x^2} dx \) and seeks assistance in proving it.
  • Another participant suggests using the properties of integrals, specifically the comparison theorem, to evaluate the right-hand side of the inequality.
  • A participant notes that \( e^{x^2} \) is strictly increasing on the interval [1, 2], providing minimum and maximum values for the function at the endpoints.
  • The same participant applies the comparison theorem to assert that the integral of \( e^{x^2} \) is bounded by its values at the endpoints, leading to a conclusion about the inequality.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the validity of the inequality, as the discussion primarily focuses on methods of evaluation rather than confirming the inequality itself. Multiple approaches are presented without resolving the question definitively.

Contextual Notes

The discussion does not clarify certain assumptions regarding the integrals or the conditions under which the comparison theorem is applied. There is also no resolution on the exact values of the integrals involved.

ChrisOlafsson
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I'm trying to solve the inequality:

$$
\int \limits_0^1 e^{-x^2} \leq \int \limits_1^2 e^{x^2} dx
$$I know that $\int \limits_0^1 e^{-x^2} \leq 1$, but don't see how to take it from there.

Any ideas?
 
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Hi and welcome to MHB!

Note that:
$$(b-a)\min_{a\le x\le b}f(x)\quad\le\quad\int_a^b f(x)\,dx \quad\le\quad (b-a)\max_{a\le x\le b}f(x)$$

If we apply that to the left side of your inequality, it gives us what you already know.
That leaves the right side...
 
Thanks Klaas! So if I understand correctly, I can compute the RHS using the squeeze theorem.

Since $e^{x^2}$ is strictly increasing on $J = [1,2]$, with absolute minimum value $f(1) = e^{1^2} \approx 2.71$ and absolute maximum value $f(2) = e^{2^2} = e^4 \approx 54.59$.

Using the comparison theorem,
$
e^{1} \leq \int \limits_1^2 e^{x^2} \leq e^{2^2}
$
and since since this area is greater than 1, consequently, the inequality holds.

Is this what you meant?
 
ChrisOlafsson said:
Thanks Klaas! So if I understand correctly, I can compute the RHS using the squeeze theorem.

Since $e^{x^2}$ is strictly increasing on $J = [1,2]$, with absolute minimum value $f(1) = e^{1^2} \approx 2.71$ and absolute maximum value $f(2) = e^{2^2} = e^4 \approx 54.59$.

Using the comparison theorem,
$
e^{1} \leq \int \limits_1^2 e^{x^2} \leq e^{2^2}
$
and since since this area is greater than 1, consequently, the inequality holds.

Is this what you meant?

Yep. (Nod)
 

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