Understanding the Integration of exp(-t²) with a Change of Variable

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In summary, the conversation discusses the computation of an integral that looks like erf(x) and the use of a change of variable to simplify it. However, there is a mistake in the change of variable and the integration limits, which leads to the incorrect result of 0. The conversation concludes with the clarification that the change of variable is only valid for positive values.
  • #1
Heresy42
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Dear All,

I computed an integral that looks like erf(x) without problem: [tex] \int_{-\infty}^{+\infty} e^{-t^2} dt = \int_{-\infty}^{0} e^{-t^2} dt + \int_{0}^{+\infty} e^{-t^2} dt = \frac{\sqrt{\pi}}{2} [-erf(-\infty)+erf(+\infty)] = \frac{\sqrt{\pi}}{2} [-(-1)+1] = \sqrt{\pi}. [/tex]

However, what about the change of variable: [tex] u = t^2? [/tex]
Hence: [tex] du = 2 dt [/tex] and: [tex] \int_{-\infty}^{+\infty} e^{-t^2} dt = \frac{1}{2} \int_{+\infty}^{+\infty} e^{-u} du = -\frac{1}{2} [e^{-u}]_{+\infty}^{+\infty} = 0. [/tex]

I just want to be sure: the second integration doesn't make sense, because the lower and upper bounds are the same, right?

Thanks.

Regards.
 
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  • #2
This is exactly why one splits up an integral from -∞ to ∞ into two parts and takes the limit of each: the normal rules of integration don't necessarily apply.
 
  • #3
Heresy42 said:
However, what about the change of variable: [tex] u = t^2? [/tex]
Hence: [tex] du = 2 dt [/tex]

No

du=2tdt
 
  • #4
Indeed, my bad, thanks to both of you.
 
  • #5
Heresy42 said:
However, what about the change of variable: [tex] u = t^2? [/tex]
Hence: [tex] du = 2 dt [/tex] and: [tex] \int_{-\infty}^{+\infty} e^{-t^2} dt = \frac{1}{2} \int_{+\infty}^{+\infty} e^{-u} du = -\frac{1}{2} [e^{-u}]_{+\infty}^{+\infty} = 0. [/tex]
You've already been told about the problem with du. Another problem here: u cannot be negative, yet you have the integrations limits being -∞ to +∞.
 
  • #6
Dear D H,

Thanks for your reply. It's now clear to me that this change of variable is for positive values only.

Regards.
 

1. What is the purpose of integrating exp(-t²)?

The purpose of integrating exp(-t²) is to calculate the area under the curve of the function, which can provide valuable information about the behavior and properties of the function.

2. Why is the integration of exp(-t²) considered "weird"?

The integration of exp(-t²) is considered "weird" because it does not have an elementary antiderivative, meaning it cannot be expressed in terms of basic functions like polynomials, trigonometric functions, or exponentials.

3. Can exp(-t²) be integrated using traditional integration techniques?

No, exp(-t²) cannot be integrated using traditional techniques such as substitution, integration by parts, or partial fractions. It requires advanced methods such as integration by series or contour integration.

4. What are some applications of integrating exp(-t²)?

Integrating exp(-t²) has various applications in fields such as physics, engineering, and statistics. It is commonly used in probability and statistics to calculate the cumulative distribution function of the normal distribution. It also appears in quantum mechanics and signal processing.

5. Are there any alternative methods for approximating the integral of exp(-t²)?

Yes, there are alternative methods for approximating the integral of exp(-t²), such as numerical integration techniques like Simpson's rule or the trapezoidal rule. These methods can provide accurate results, but they require more computation compared to analytical methods.

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