Let K be a finite field, $F=K(\alpha)$ a finite simple extension of degree $n$, and $ f \in K[x]$ the minimal polynomial of $\alpha$ over $K$. Let $\frac{f\left( x \right)}{x-\alpha }={{\beta }_{0}}+{{\beta }_{1}}x+\cdots +{{\beta }_{n-1}}{{x}^{n-1}}\in F[x]$ and $\gamma={f}'\left( \alpha \right)$.
Prove that the dual basis of $\left\{ 1,\alpha ,\cdots ,{{\alpha }^{n-1}} \right\}$ is $\left\{ {{\beta }_{0}}{{\gamma }^{-1}},{{\beta }_{1}}{{\gamma }^{-1}},\cdots ,{{\beta }_{n-1}}{{\gamma }^{-1}} \right\}$.
I met this exercise in "Finite Fields" Lidl & Niederreiter Exercises 2.40, and I do not how to calculate by Definition 2.30. It is
Definition 2.30 Let $K$ be a finite field and $F$ a finite extension of $K$. Then two bases $\left\{ {{\alpha }_{1}},{{\alpha }_{2}},\cdots ,{{\alpha }_{m}} \right\}$ and $\left\{ {{\beta }_{1}},{{\beta }_{2}},\cdots ,{{\beta }_{m}} \right\}$ of $ F$ over $K$ are said to be dual bases if for $1\le i,j\le m$ we have $T{{r}_{{F}/{K}\;}}\left( {{\alpha }_{i}}{{\beta }_{j}} \right)=\left\{ \begin{align} & 0\;\;\text{for}\;\;i\neq j, \\ & 1\;\;\text{for}\;\;i=j. \\ \end{align} \right.$
I think $\gamma =\underset{x\to \alpha }{\mathop{\lim }}\,\frac{f(x)-f{{(\alpha )}_{=0}}}{x-\alpha }={{\beta }_{0}}+{{\beta }_{1}}\alpha +\cdots {{\beta }_{n-1}}{{\alpha }^{n-1}}$.
How can I continue? The lecturer did not teach the "dual bases" section.
If $\;G=Gal(F/K)=\{\sigma_1:=Id,\sigma_2,...,\sigma_n\}\;$, then using your nice characterization
$$\;\gamma:=f'(\alpha)=\sum_{k=0}^{n-1}\beta_k\alpha^k\;$$
we get:
$$tr.(\alpha^i\beta_j\gamma^{-1})=\sum_{k=1}^m\sigma_k(\alpha^i\beta_j\gamma^{-1})=\sum_{k=1}^n\sigma_k(\alpha)^i\sigma_k(\beta_j)\sigma_k(\gamma^{-1})=$$
$$=\sum_{k=1}^n\sigma_k(\alpha)^i\sigma_k(\beta_j)\sigma_k\left(\left(\sum_{t=0}^{n-1}\beta_t\alpha^t\right)^{-1}\right)=\sum_{k=1}^n\sigma_k(\alpha)^i\sigma_k(\beta_j)\left(\sum_{t=0}^{n-1}\sigma_k(\beta_t)\sigma_k(\alpha)^k\right)^{-1}=$$
$$=\frac{\alpha^i\beta_j}{\beta_0+\beta_1\alpha+\ldots+\beta_{n-1}\alpha^{n-1}}+$$
$$\frac{\sigma_2(\alpha)^i\sigma_2(\beta_j)}{\sigma_2(\beta_0)+\sigma_2(\beta_1)\sigma_2(\alpha)+\ldots+\sigma_2(\beta_{n-1})\sigma_2(\alpha^{n-1})}+\ldots+$$
$$+\frac{\sigma_n(\alpha)^i\sigma_n(\beta_j)}{\sigma_n(\beta_0)+\sigma_n(\beta_1)\sigma_n(\alpha)+\ldots+\sigma_n(\beta_{n-1})\sigma_n(\alpha^{n-1})}$$
But $\;\sigma_k(\beta_j)=\beta_j\;$ since $\;\beta_j\in K\;$ , so the above is
$$=\frac{\alpha^i\beta_j}{\beta_0+\beta_1\alpha+\ldots+\beta_{n-1}\alpha^{n-1}}+$$
$$\frac{\sigma_2(\alpha)^i\beta_j}{\beta_0+\beta_1\sigma_2(\alpha)+\ldots+\beta_{n-1}\sigma_2(\alpha^{n-1})}+\ldots+$$
$$+\frac{\sigma_n(\alpha)^i\beta_j}{\beta_0+\beta_1\sigma_n(\alpha)+\ldots+\beta_{n-1}\sigma_n(\alpha^{n-1})}$$
Now, if $\;i=j\;$ we simply have
$$tr.\left(\alpha^i\beta_j\gamma^{-1}\right)=\sum_{k=1}^n\frac{\sigma_k(\alpha)^i\beta_i}{\sum_{k=1}^n\sigma_k(\alpha)^i\beta_i}=1$$
and if $\;i\neq j\;$
$$tr.\left(\alpha^i\beta_j\gamma^{-1}\right)=\sum_{k=1}^n\frac{\sigma_k(\alpha)^i}{\sum_{t=0}^{n-1}\sigma_k(\alpha)^t\beta_t}\beta_j$$
I shall come back to this later...perhaps.