Inequality involving Gaussian integral

In summary, the conversation discusses solving the inequality $\int \limits_0^1 e^{-x^2} \leq \int \limits_1^2 e^{x^2} dx$ by using the comparison and squeeze theorems. It is determined that the inequality holds since the area under the curve of $e^{x^2}$ between 1 and 2 is greater than 1.
  • #1
ChrisOlafsson
2
0
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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  • #2
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...
 
  • #3
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?
 
  • #4
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)
 

FAQ: Inequality involving Gaussian integral

What is a Gaussian integral?

A Gaussian integral is a type of integral that involves the Gaussian function, also known as the normal distribution. It is used to calculate the area under the curve of a normal distribution, which is a bell-shaped curve that represents the probability distribution of a continuous random variable.

How is inequality involved in Gaussian integrals?

Inequality is involved in Gaussian integrals because the integral is used to calculate the area under the curve, which can represent the probability of a certain range of values. This can be used to compare the probabilities of different ranges and determine which is more likely, thus involving inequality.

What is the formula for a Gaussian integral?

The formula for a Gaussian integral is ∫e^(-x^2)dx, where e is the base of the natural logarithm and x is the variable of integration.

How is a Gaussian integral solved?

A Gaussian integral can be solved using various methods, such as substitution, integration by parts, or using special techniques like completing the square. It is also possible to use numerical methods, such as the trapezoidal rule or Simpson's rule, to approximate the value of the integral.

What are some real-life applications of Gaussian integrals?

Gaussian integrals have many real-life applications, particularly in statistics and probability. They are used to calculate probabilities in normal distributions, which can model many natural phenomena such as heights, weights, and test scores. They are also used in physics to calculate the probability of a particle being in a certain energy state. Additionally, Gaussian integrals have applications in signal processing, finance, and engineering.

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