I am trying to solve a problem form a workbook I found, I apologize in advanced for the notations and my grammar, since english is not my first language I might have some grammatical errors and some notation differences in my question.
Te exercise states as follows:
Given $V$ oriented vector space, with internal product and a finite dimension n.
Fixing $\beta =\{e_1,...e_n\}$ orthonormal, positive oriented basis for V, and defining $e_i^{*}$ as $e_i$'s equivalent in the dual basis $\beta^*$. We define the hodge star as the linear operator $\star$: $\cup_p \Lambda^p(V^*) \to \cup_p \Lambda^p(V^*) $ that satisfies:
$\star(e_{i1}^{*}\land.....\land e_{ip}^{*})$ = $e_{j1}^{*}\land.....\land e_{jp}^{*}$ (Which means $\star(\Lambda^p(V^*)) \subset \Lambda^{n-p}(V^*)$)
$e_{i1}^{*}\land.....\land e_{ip}^{*}\land\star(e_{i1}^{*}\land.....\land e_{ip}^{*})= e_{1}^{*}\land.....\land e_{n}^{*}$
Prove that this definition of $\star$ does not depend on the basis chosen, as long as the basis is orthonormal and positive oriented.
Okay... so this si what I thought, out of the definition and the linearity of $\star$ you can calculate $\star(w)$ in fucntion of the dual basis. Using that $\star$ is linear all you got to know is $\star(e_{i1}^{*}\land.....\land e_{ip}^{*})$ which using the propperties above will be of the form:
$\star(e_{i1}^{*}\land.....\land e_{ip}^{*})$ = $(-1)^{\lambda}\land_{j \in \{i_1,..,i_n\}^c}e_{j}^{*}$ (with the subindex ordered, from lowest to highest and $\lambda$ a calculable interger).
So I thought next on grabbing another basis $\{v_1,...,v_n\}$ of $V^*$ and calculate $\star(v_{i1}\land....\land v_{ip})$ and see if the two propperties apply (Using that $v_{i1}\land....\land v_{ip}$ can be written as an unique linear combination of the vectors $\{e_{i1}^{*}\land.....\land e_{ip}^{*}: 1\leq i_1<...<i_p\leq n \}$).
My problem is I do not know where to apply the orthogonality and the fact that the other basis is positive, so I am stuck at this point.
Any help would be appreciated, thanks in advanced. Sorry again, for my grammar.