What method to calculate intergration?

In summary, integration techniques have counterparts for differentiation, but they can be more difficult to use as not all elementary functions have antiderivatives that are expressible in terms of elementary functions. Integration by substitution and integration by parts are commonly used methods, with the former being more useful in most cases. Polar, cylindrical, and spherical coordinates can also be used as useful substitutions. The Bernoulli formula is often used in integration.
  • #1
HeilPhysicsPhysics
16
0
For example
Intergrate (uv dx)=?
Intergrate (u dx/v)=?
Intergrate (u^v dx)=?
Intergrate (log_u v)=?
Where u and v are the function of x.
Is there any method in intergration just like dy/dx=(dy/du)(du/dx) in diffrentiation?
 
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  • #2
HeilPhysicsPhysics said:
Intergrate (uv dx)=?

Integration by parts is the general method for this.

HeilPhysicsPhysics said:
Intergrate (u dx/v)=?

This can be seen as a special case of the first.

HeilPhysicsPhysics said:
Intergrate (u^v dx)=?

You'll probably run into problems with this one most often where there won't be an integral in terms of elementary functions. There is no general method, and I don't think I've really seen too many integrals like this.

HeilPhysicsPhysics said:
Intergrate (log_u v)=?
?

This is again a special case of the first.

HeilPhysicsPhysics said:
Is there any method in intergration just like dy/dx=(dy/du)(du/dx) in diffrentiation?

What is essentially this property in reverse is often used to solve integrals and it is usually called integration by substitution.
 
  • #3
All the rules you've learned for differentiation have counterparts for integration. But integration techniques are often more difficult to use. This is because not all elementary functions have antiderivatives that are expressible in terms of elementary functions, and finding out which ones do isn't always easy. In contrast, all the elementary functions have derivatives which are also expressible in terms of elementary functions. In some way it also is usually more difficult to see what operations will allow you to find antiderivatives, even when they do exist in terms of elementary functions, than it is for derivatives, at least when you are just starting to do them (for example, when you want to integrate a product of functions, you can try to use integration by parts, but sometimes trying this will result in another integral that seems harder - and so you have to go back and try something else).

(when I talk about elementary functions, I mean things like polynomials, trig [and inverse trig] functions, exponentials, logarithms, and quotients, products, sums, differences, roots, and compositions of these)
 
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  • #4
doing a change of variables is about the most useful integration technique, I've found (though depending on your application, integration by parts might be more necessary)

You don't even need to know a lot of complex subsitutions. Polar, cylindrical, spherical coordinates all are incredibly useful.
 
  • #5
The best formula ever for integration (Bernoulli)

[tex] \int dxf(x)=C+\sum_{n=0}^{\infty}(-1)^{n} x^{n+1}\frac{1}{n!} \frac{d^{n} f}{dx^{n}} [/tex] where C is a constant.
 

1. What is integration and why is it important?

Integration is a mathematical technique used to find the area under a curve or the cumulative effect of a function. It is important because it allows us to solve a wide range of problems in various fields such as physics, engineering, economics, and statistics.

2. What are the different methods to calculate integration?

There are several methods to calculate integration, including the Riemann sum method, the Trapezoidal rule, Simpson's rule, and the Monte Carlo method. Each method has its advantages and disadvantages, and the choice of method depends on the function to be integrated.

3. How do I choose the appropriate method for a specific integration problem?

The method chosen for integration depends on the complexity of the function and the desired level of accuracy. For simple functions, the Riemann sum method or the Trapezoidal rule may suffice, while for more complex functions, Simpson's rule or the Monte Carlo method may be more suitable.

4. What are the advantages of using numerical integration methods compared to analytical methods?

Numerical integration methods are often used when an analytical solution to an integration problem is not available. These methods provide a reasonably accurate solution in a relatively short amount of time. Additionally, numerical integration methods can handle functions that are too complex to be integrated analytically.

5. Are there any limitations to numerical integration methods?

Yes, there are limitations to numerical integration methods. The accuracy of the solution depends on the number of intervals used and the chosen method, and it may not always be possible to achieve the desired level of accuracy. Additionally, numerical integration methods can be computationally intensive, especially for high-dimensional problems.

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