Integrating e^f(x): A Simple Explanation and Common Pitfalls

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In summary, the question asks for the integral of x times ef(x) and the solution involves using the integration by parts method. However, the answer will vary depending on the function f(x) and may not have an elementary integral.
  • #1
tetris11
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Homework Statement



Hi there, really easy question but I can't get a straight answer online.

What's [tex]\int[/tex]x ef(x) dx

The Attempt at a Solution



I get (ef(x) x)/f'(x) - [tex]\int[/tex] (ef(x))/f'(x) dx

And when I try to do parts on the last component it will proably just go one forever.

Help?
 
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  • #2
You really won't get a straight answer as that depends on exactly what f(x) is.
You'd need to have u=ef(x) and dv=x dx.

Since you can't integrate ef(x) without knowing what f(x) is. For example if f(x)=x2, then you'd have dv=ex2 dx, which has no elementary integral.
 

1. What does the basic integration of e^f(x) represent?

The basic integration of e^f(x) represents the area under the curve of the function e^f(x) over a given interval.

2. How do you solve for the basic integration of e^f(x)?

To solve for the basic integration of e^f(x), you can use the formula ∫e^f(x)dx = ∫e^u du, where u = f(x). Then, you can use integration by substitution or integration by parts to solve for the integral.

3. What are the common methods used to evaluate the basic integration of e^f(x)?

The common methods used to evaluate the basic integration of e^f(x) are integration by substitution, integration by parts, and the use of integration tables or software.

4. What is the difference between definite and indefinite integration of e^f(x)?

The definite integration of e^f(x) gives a numerical value for the area under the curve over a specific interval, while the indefinite integration of e^f(x) gives a general formula for the area under the curve.

5. How is the basic integration of e^f(x) used in real-world applications?

The basic integration of e^f(x) is used in various fields of science and engineering, such as physics, chemistry, and economics, to model and analyze real-world phenomena. It can also be used to solve differential equations and find the probability density function of certain distributions.

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