A question about Jacobian when doing coordinates transformation

In summary, the conversation discusses a transformation involving two variables, X1 and X2, and the resulting Jacobian. The participants also question the value of (dx1)^2 and its significance in the problem. The concept of differentials and Grassmann variables is also mentioned.
  • #1
xuphys
7
0
Hi,

When I do the following transformation:

$$
X_1=x_1+x_2 \\
X_2=x_2
$$

It turns out that the Jacobian ##\partial (X_1,X_2)/\partial (x_1,x_2)## is 1. But we have:

$$
dx_1dx_1+dx_1dx_2=d(x_1+x_2)dx_2=dX_1dX_2=|\partial (X_1,X_2)/\partial (x_1,x_2)|dx_1dx_2=dx_1dx_2
$$

So we have ##dx_1dx_1=0##. Is this kind of weird? Why does ##(dx_1)^2## have to be 0?

Thank you!
 
Last edited:
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  • #2
It represents the differential area for the parallelogram formed by varying by dx1 and then dx1. Since both sides are the same direction, the area is zero.

At a higher level the differentials are treated as Grassmann variables (like cross product but yielding tensor instead of vector). Then the Jacobian is built into the algebra.
 
  • #3
Strictly speaking "[itex]dx_1dx_1[/itex]" has no meaning! How did it get in that problem?
 

Related to A question about Jacobian when doing coordinates transformation

1. What is the Jacobian matrix in a coordinates transformation?

The Jacobian matrix is a mathematical tool used in multivariate calculus to represent the relationship between two sets of variables. In a coordinates transformation, it represents the partial derivatives of the new coordinates with respect to the old coordinates.

2. Why is the Jacobian important in coordinates transformation?

The Jacobian matrix is important because it helps to determine how changes in one set of coordinates affect the other set of coordinates. It also plays a crucial role in calculating integrals in multiple dimensions.

3. How do you calculate the Jacobian in a coordinates transformation?

The Jacobian matrix can be calculated by taking the partial derivatives of the new coordinates with respect to the old coordinates and arranging them in a matrix form. The determinant of this matrix is then used as the Jacobian determinant.

4. What is the significance of the Jacobian determinant in a coordinates transformation?

The Jacobian determinant represents the factor by which the volume changes when transforming from one set of coordinates to another. This is important in many applications, such as in physics and engineering, where the transformation of coordinates can affect the results of a calculation.

5. Can the Jacobian be negative in a coordinates transformation?

Yes, the Jacobian can be negative in a coordinates transformation. This indicates that the transformation is not orientation-preserving, meaning it changes the direction of the coordinate axes. This can occur in certain types of transformations, such as reflections or rotations.

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