Wedge product and change of variables

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SUMMARY

The discussion focuses on proving the relationship between the wedge product of differentials and the determinant of the Jacobian matrix in the context of a $C^1$ map $\phi: \mathbb{R}^n \rightarrow \mathbb{R}^n$. Specifically, it establishes that d$y_1 \wedge ... \wedge$ d$y_n = (\det D\phi(x)) \cdot$ d$x_1 \wedge ... \wedge$ d$x_n$. The proof utilizes the chain rule and the properties of the Jacobian matrix $D\phi(x)$ without relying on the standard determinant formula involving permutations. This approach highlights the distributive law in the context of wedge products.

PREREQUISITES
  • Understanding of differential forms and wedge products
  • Familiarity with $C^1$ maps and their properties
  • Knowledge of Jacobian matrices and their role in transformations
  • Basic concepts of linear algebra, particularly determinants
NEXT STEPS
  • Study the properties of differential forms in more depth
  • Learn about the chain rule in the context of multivariable calculus
  • Explore the applications of the Jacobian matrix in change of variables
  • Investigate alternative proofs of the determinant formula for matrices
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Mathematicians, students of differential geometry, and anyone interested in advanced calculus and the applications of wedge products in transformations.

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The question is: Let $\phi:\mathbb{R}^n\rightarrow\mathbb{R}^n$ be a $C^1$ map and let $y=\phi(x)$ be the change of variables. Show that d$y_1\wedge...\wedge $d$y_n$=(detD$\phi(x)$)$\cdot$d$x_1\wedge...\wedge$d$x_n$.Take a look at here and the answer given by Michael Albanese:
differential geometry - wedge product and change of variables - Mathematics Stack Exchange

My question is can we prove it without using the fact "$\det A = \sum_{\sigma\in S_n}\operatorname{sign}(\sigma)\prod_{i=1}^na_{i \sigma(j)}$"?
 
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Yes, we can prove it without using the fact "$\det A = \sum_{\sigma\in S_n}\operatorname{sign}(\sigma)\prod_{i=1}^na_{i \sigma(j)}$". The proof is as follows:Let $\phi(x)=(y_1,...,y_n)$. Then, by the chain rule, d$y_i=\sum_{j=1}^{n}\frac{\partial y_i}{\partial x_j}$d$x_j$, for $i=1,2,...,n$. Therefore, d$y_1\wedge ...\wedge $d$y_n=\left(\sum_{j=1}^{n}\frac{\partial y_1}{\partial x_j}$d$x_j\right)\wedge...\wedge\left(\sum_{j=1}^{n}\frac{\partial y_n}{\partial x_j}$d$x_j\right)$. Now, let $D\phi(x)=(a_{ij})_{n\times n}$ be the Jacobian matrix of $\phi$. Then, d$y_1\wedge ...\wedge $d$y_n=\left(\sum_{j=1}^{n}a_{1j}$d$x_j\right)\wedge...\wedge\left(\sum_{j=1}^{n}a_{nj}$d$x_j\right)$. Using the distributive law, we get d$y_1\wedge ...\wedge $d$y_n=\sum_{j_1,...,j_n=1}^{n}\left(a_{1j_1}...a_{nj_n}\right)$d$x_{j_1}\wedge ...\wedge$d$x_{j_n}$. Finally, since the sum is over all permutations of $j_1,...,j_n$, the result follows.
 

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