Iterative integration in several variables

In summary, as a physicist, one idea is to regularize divergent integrals in several variables by performing an iterative integration and using Hadamard's finite part integral definition. However, the validity of this approach depends on the background and purpose, as divergence cannot be renormalized away. Another idea is to introduce regulators and take the limit to make the integral convergent, but the validity of this approach also depends on the background and purpose.
  • #1
zetafunction
391
0
as a physicist , there are some integrals in several variables that are DIVERGENT

in order to regularize them i argue that for any integral in several variables

[tex] \int_{V} f(x,y,z)dV [/tex]

you can always perform an interative integration (you integrate in variable 'x' for example keeping the others variables as constant and then you regularize the result in each variable by using the Hadamard's finite part integral definition)

but is this valid ?? .. even for a divergent integral (let us suppose we introduce a cut-off so the integral is rendered finite and then we take the cut-off limit --> oo ) is this valid we can perform an integral in several variables by doing an interation of one dimensional integrals ??

let us suppose i introduce the regulators [tex] ((x+a)((y+b)(z+c))^{-s} [/tex]

for a big 's' so the integral is convergent and then i take the limit (by analytic continuation ) to s -->0
 
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  • #2
zetafunction said:
but is this valid ??
Divergence in mathematics cannot be renormalized away. So whether a manipulation is "valid" depends largely on the background and purpose.
 

FAQ: Iterative integration in several variables

What is iterative integration in several variables?

Iterative integration in several variables is a mathematical process used to find the exact value of a multivariable integral. It involves breaking down the integral into smaller parts and using a series of iterations to approximate the final value.

Why is iterative integration important in scientific research?

Iterative integration allows scientists to solve complex integrals that cannot be solved using traditional methods. It is particularly useful in fields such as physics, engineering, and economics where multiple variables are involved in a system.

What are the steps involved in iterative integration?

The first step is to break down the integral into smaller parts using appropriate limits of integration. Then, an initial guess is made for the value of the integral. This is followed by a series of iterations, where the value of the integral is refined with each iteration until the desired level of accuracy is achieved.

What are the advantages of using iterative integration over other methods?

Iterative integration can provide more accurate results compared to other methods, especially for complex integrals. It also allows for greater flexibility in choosing the limits of integration and can handle a wider range of functions.

What are some common applications of iterative integration in scientific research?

Iterative integration is commonly used in fields such as physics, engineering, and economics to solve problems involving multiple variables. Some examples include determining the center of mass of an object, calculating the work done by a variable force, and finding the optimal solution in optimization problems.

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