Change of variable in integral using metric

In summary, the square root of the metric absorbs any factors the Jacobian would introduce in a change of coordinates. When evaluating a multi-integral by a change of coordinates, the square root of the metric can be used instead of the determinant of the Jacobian. This can be seen in the transformation from flat-space Cartesian coordinates to an arbitrary coordinate system, as well as in a subsequent transformation from one arbitrary coordinate system to another. However, the Jacobian determinant from the original transformation should still be included in the integrand. The metric also contains information about the topology of the space, such as whether it is topologically flat or not.
  • #1
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What is the formula to evaluate a multi-integral by a change of coordinates using the squareroot of the metric instead of the determinate of the Jacobian? Thanks.
 
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  • #2
The square root of the metric absorbs any factors the Jacobian would introduce in a change of coordinates.
 
  • #3
So check my work, let's see if I understand this correctly,

Suppose we want to evaluate a triple integral by going from coordinates (x,y,z) to coordinates (u,v,w), then we start from

[tex]\int_X {f(\vec x)d\vec x\, = \,\int_{{z_1}}^{{z_2}} {\int_{{y_1}}^{{y_2}} {\int_{{x_1}}^{{x_2}} {f(x,y,z)dxdydz} } } } [/tex]

and this equals

[tex] \int_{Q(X)} {f(\vec x(\vec q))\sqrt {g(\vec q)} d\vec q\, = \,} \int_{{w_1}}^{{w_2}} {\int_{{v_1}}^{{v_2}} {\int_{{u_1}}^{{u_2}} {f(x(u,v,w),y(u,v,w),z(u,v,w))\sqrt {g(u,v,w)} dudvdw} } } [/tex]

with

[tex]\int_{Q(X)} {f(\vec x(\vec q))\sqrt {g(\vec q)} d\vec q = \,} \int_{{w_1}}^{{w_2}} {\int_{{v_1}}^{{v_2}} {\int_{{u_1}}^{{u_2}} {f(u,v,w)\left| {\frac{{\partial (x,y,z)}}{{\partial (u,v,w)}}} \right|dudvdw} } } [/tex]

and with

[tex]\sqrt {g(u,v,w)} \, = \,\left| {\frac{{\partial (x,y,z)}}{{\partial (u,v,w)}}} \right|\, = \,\left| {\begin{array}{*{20}{c}}
{\frac{{\partial x}}{{\partial u}}}&{\frac{{\partial x}}{{\partial v}}}&{\frac{{\partial x}}{{\partial w}}}\\
{\frac{{\partial y}}{{\partial u}}}&{\frac{{\partial y}}{{\partial v}}}&{\frac{{\partial y}}{{\partial w}}}\\
{\frac{{\partial z}}{{\partial u}}}&{\frac{{\partial z}}{{\partial v}}}&{\frac{{\partial z}}{{\partial w}}}
\end{array}} \right|[/tex]

This last term is the determinant of the Jacobian, right?
 
  • #4
Yes, if you're going from flat-space Cartesian coordinates to an arbitrary coordinate system, the square root of the metric determinant is exactly the Jacobian's determinant.
 
  • #5
Muphrid said:
Yes, if you're going from flat-space Cartesian coordinates to an arbitrary coordinate system, the square root of the metric determinant is exactly the Jacobian's determinant.

And then if we make another change of coordinates from (u,v,w) to coordinates (r,s,t) we would get,

[tex]\int_{{w_1}}^{{w_2}} {\int_{{v_1}}^{{v_2}} {\int_{{u_1}}^{{u_2}} {f(u,v,w)\left| {\frac{{\partial (x,y,z)}}{{\partial (u,v,w)}}} \right|dudvdw} } } = \int_{t({u_1},{v_1},{w_2})}^{t({u_2},{v_2},{w_2})} {\int_{s({u_1},{v_1},w)}^{s({u_2},{v_2},w)} {\int_{r({u_1},v,w)}^{r({u_2},v,w)} {f(u(r,s,t),v(r,s,t),w(r,s,t))\left| {\frac{{\partial (u,v,w)}}{{\partial (r,s,t)}}} \right|drdsdt} } } [/tex]
Is this right? Please check the limits of the last integral using the limits in the first integral.

Is there then a relationship between the determinant in the first integral and the determinant of the last integral? Would there be a tensor transformation between the two determinants?
 
  • #6
The original Jacobian determinant from xyz to uvw should still be present--multiplying that and the Jacobian from uvw to rst should give directly the Jacobian determinant from xyz to rst, as if we did it in one single coordinate transformation.

So, on the right hand side, there should be two Jacobian determinants. Or, it should be the Jacobian determinant from xyz to rst, not from uvw.

The usual tensor transformation laws apply. The Jacobian determinant is the unique numerical factor invoked when applying the tensor transformation laws to the Levi-Civita tensor. Integrals over volumes naturally involve this tensor.
 
  • #7
Muphrid said:
The original Jacobian determinant from xyz to uvw should still be present--

Ahh yes, the determinant from xyz to uvw is part of the integrand that is being converted, right? If that determinant were not included in the left hand side, it would not be needed on the right hand side.
 
  • #8
And can we just as easily use,
[tex]\int_X {f(\vec x)d\vec x\,} = \int_{Q(X)} {f(\vec x(\vec q))\sqrt {g(\vec q)} d\vec q\,\,} [/tex]
where the metric, g(q), is defined in post 3, if we transfrom from flat space to curved space?

I'm thinking of a transformation from a disk to a hemisphere directly above it. We should be able to map every point on the disk to points of the hemisphere (except for the equator). We can draw lines in flat space on the disk and map them to lines on the hemisphere. However, the metric on the disk will be different from the metric on the hemisphere, and so the length of the line on each will be different. At this point, I'm not sure that the integral on the disk will be equal to the integral on the hemisphere. Any insight into all this would be appreciated. Thanks.
 
  • #9
A hemisphere is still topologically flat. The square root of the metric determinant must appear in both integrals if the space is in fact not topologically flat. No simple coordinate system transformation can convert a topologically flat space to one that isn't (e.g. from a flat space to a complete sphere).

In this way, you can see that the metric has two somewhat distinct pieces of information within it. Part of it tells us about converting between coordinate systems. The other part tells us something unambiguous regardless of coordinate system--whether the space is similar to a flat space, a doughnut, a closed sphere, etc.
 

Related to Change of variable in integral using metric

1. What is a change of variable in integral using metric?

A change of variable in integral using metric is a mathematical technique used to simplify integrals by substituting variables with new ones that are more suitable for the problem at hand. This is done by using the metric tensor, which is a mathematical object that measures distances and angles in a curved space. By choosing appropriate variables, the integral can be transformed into a simpler form that is easier to solve.

2. Why is a change of variable important in integrals?

A change of variable is important in integrals because it can simplify complex integrals and make them easier to solve. It can also help to solve problems in different coordinate systems, such as polar or spherical coordinates, where the integral would be difficult to solve using traditional methods. Furthermore, it can reveal hidden symmetries in the problem and provide a deeper understanding of the underlying mathematics.

3. How do you perform a change of variable in integral using metric?

To perform a change of variable in integral using metric, you first need to identify the metric tensor for the coordinate system you are working in. Then, choose appropriate variables to substitute into the integral, keeping in mind the metric tensor's components. Next, use the metric tensor to transform the integral and solve the resulting simpler integral. Finally, substitute back in the original variables to get the final answer.

4. What are the benefits of using a change of variable in integrals?

The benefits of using a change of variable in integrals include simplifying complex integrals, making them easier to solve, and revealing hidden symmetries in the problem. It can also provide a deeper understanding of the underlying mathematics and allow for solutions in different coordinate systems. Additionally, it can help to solve integrals that would be difficult or impossible to solve using traditional methods.

5. Can a change of variable be used in any type of integral?

Yes, a change of variable can be used in any type of integral. However, it is particularly useful in integrals involving curved spaces or in problems that can be simplified by transforming to a different coordinate system. In some cases, a change of variable may not provide much benefit, or it may even make the integral more complicated. It is important to carefully consider the problem at hand before deciding to use a change of variable.

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