Undergrad Multi-dimensional Integral by Change of Variables

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The discussion focuses on performing a change of variables for multi-dimensional integrals, specifically transitioning from a two-dimensional integral to a four-dimensional one. The initial integral is simplified using a variable change that involves computing the Jacobian. For the four-dimensional case, participants explore different variable substitutions, considering both cyclic indices and the expansion of terms. The importance of diagonalizing the associated matrix to facilitate integration is emphasized, along with the existence of a general formula for n-dimensional Gaussian integrals that simplifies the process. The conversation highlights the complexities and strategies involved in multi-dimensional integration techniques.
junt
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Hi All,

$$\int{\exp((x_2-x_1)^2+k_1x_1+k_2x_2)dx_1dx_2}$$
I can perform the integration of the integral above easily by changing the variable
$$u=x_2+x_1\\
v=x_2-x_1$$
Of course first computing the Jacobian, and integrating over ##u## and ##v##

I am wondering how you perform the change of variable for 4-dimensional integral like below:

$$\int{\exp(\sum_{i=1}^{4}((x_{i}-x_{i-1})^2+k_ix_i))dx_1dx_2dx_3dx_4}$$

Is it something like:
$$x_2-x_1=u \\
x_2+x_1=v \\
x_4-x_3=p \\
x_4+x_3=q$$
Should this be enough? I think one only needs 4 new variables right? Because I was thinking the integral would be easier if I could do something like:
$$x_2-x_1=u \\
x_3-x_2=v \\
x_4-x_3=p \\
x_1-x_4=q$$
Or in general, how do you perform change of variable in multi-dimensional case. Should you generally perform it by doing:
$$u=a_1x_1+a_2x_2+a_3x_3+a_4x_4 \\
v=b_1x_1+b_2x_2+b_3x_3+b_4x_4 \\
p=c_1x_1+c_2x_2+c_3x_3+c_4x_4 \\
q=d_1x_1+d_2x_2+d_3x_3+d_4x_4$$

And what kind of change of variable does one need to perform to perform the integration of such integration easily?
 
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In \sum_{i=1}^{4}((x_{i}-x_{i-1})^2+k_ix_i) you have x_0 term, so I assume that indices are cyclic and x_0=x_4. You have to expand \sum_{i=1}^{4}(x_{i}-x_{i-1})^2 and then write it as (Einstein convention used) A_{ij}x_i x_j. Notice that as x_i x_j=x_j x_i, matrix \mathbb{A} is not unique. Defining \mathbb{x}=[x_1,x_2,x_3,x_4]^T you can write \sum_{i=1}^{4}(x_{i}-x_{i-1})^2=\mathbb{x}^T \mathbb{A}\mathbb{x}. Now you have to make diagonalization: \mathbb{A}=\mathbb{M}^T\mathbb{D}\mathbb{M}. Your new coordinates that will allow you to write your integral as a product of four one-dimensional integrals are \mathbb{y}=\mathbb{M}\mathbb{x}. However you can do it faster as there is general formula for n-dimensional gaussian integrals for which you only have to know matrix \mathbb{A} and its determinant. You can find derivation of that formula for example here:
http://www.weylmann.com/gaussian.pdf
 
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