Gaussian integral in two dimensions

In summary, the Gaussian integral in two dimensions is a mathematical concept used to calculate the area under a two-dimensional Gaussian curve. It is important in science for calculating probabilities in multivariate systems and has various applications in fields such as physics, engineering, finance, and statistics. The integral can be calculated using various methods, but has limitations such as only being applicable to functions with a Gaussian distribution and requiring advanced mathematical techniques for solving.
  • #1
spaghetti3451
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I am trying to evaluate the following integral.

##\displaystyle{\int_{-\infty}^{\infty}f(x,y)\ \exp(-(x^{2}+y^{2})/2\alpha)}\ dx\ dy=1##

How do you do the integral above?
 
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  • #2
Hi, it seems evaluated jet ##=1##, depends what is ##f(x,y)## and ##\alpha##? You must to reformulate the question ...
 
  • #3
failexam said:
I am trying to evaluate the following integral.

##\displaystyle{\int_{-\infty}^{\infty}f(x,y)\ \exp(-(x^{2}+y^{2})/2\alpha)}\ dx\ dy=1##

How do you do the integral above?
Convert to polar coordinates. Integration is straightforward.
 
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Related to Gaussian integral in two dimensions

What is the Gaussian integral in two dimensions?

The Gaussian integral in two dimensions is a mathematical concept used to calculate the area under a two-dimensional Gaussian curve. It is also known as the bivariate normal integral and is represented by the symbol ∫-∞-∞ e-(x2+y2)dx dy.

Why is the Gaussian integral in two dimensions important in science?

The Gaussian integral in two dimensions is important in science because it is used to calculate probabilities in multivariate systems. It is also a key component in statistical analysis and modeling of real-world phenomena.

How is the Gaussian integral in two dimensions calculated?

The Gaussian integral in two dimensions can be calculated using various methods such as numerical integration, contour integration, and the use of special functions such as the error function and the gamma function. It is a complex integral that requires advanced mathematical techniques to solve.

What are the applications of the Gaussian integral in two dimensions?

The Gaussian integral in two dimensions has various applications in fields such as physics, engineering, finance, and statistics. It is used in the analysis of data, signal processing, image processing, and in the calculation of probabilities in multivariate systems.

Are there any limitations to the use of the Gaussian integral in two dimensions?

While the Gaussian integral in two dimensions is a powerful tool in mathematics and science, it has limitations. It can only be applied to functions that follow a Gaussian distribution and cannot be used for non-linear or non-Gaussian systems. Additionally, the integral may not have a closed-form solution for some complex functions, requiring the use of numerical methods for calculation.

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