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Integral of the Error Function

52.4K views
•
September 28, 2018
by
blackpenredpen
YouTube video player
Integral of the Error Function

TL;DR

The video discusses the integration of the error function, providing step-by-step instructions and formulas for calculating the integral.

Transcript

okay Christmas colors continue here welcome to integrate the error function e are f of X and last time we saw that the ER f of X is just 2 over school pi times the integral from 0 to X of e to the negative T squared DT therefore this is pretty much an integral in self not an integral how can we do this step well now we have this as our new function... Read More

Key Insights

  • ❎ The error function is defined as the integral of e to the negative T squared DT, multiplied by a constant factor of 2 over square root of pi.
  • ☺️ Differentiating the error function yields x times ER f of X, allowing for the integration to be simplified.
  • ☺️ The integration by parts method can be used to derive the answer, resulting in separate components for x times ER f of X and the minor integral.

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Questions & Answers

Q: What is the formula for the error function?

The error function, ER f of X, is defined as 2 over square root of pi times the integral from 0 to X of e to the negative T squared DT.

Q: How can the integral of the error function be obtained?

The integral of the error function can be obtained by differentiating the function, resulting in x times ER f of X.

Q: What is the second integral in the solution?

The second integral, known as the minor, is still an integral with the equation 2 over the square root of pi times e to the negative x squared DX.

Q: How is the final result derived?

By using the integration by parts method, the initial integral is modified, resulting in two parts: x times ER f of X and the minor integral.

Summary & Key Takeaways

  • The video explains the formula for the error function and its integral.

  • The integration of the error function is demonstrated using the integration by parts method.

  • The final result is derived and explained, showing the relationship between the error function and its integral.


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