I am studying the basic of representation. Coming back from https://en.wikipedia.org/wiki/Tensor_product_of_representations, I am having trouble filling out details why tensor product of two (finite dimensional) representations $V$ and $W$ over $\mathbb{C}$ of a finite group $G$ is also a representation.
I know Is the tensor product of two representations a representation? has an answer but I cannot understand such "high level" reasoning yet.
From the first link above, the action is defined as $g.(v\otimes w):=(g.v)\otimes (g.w)$, but I am not sure about its well-definedness.
Question 1: This definition cannot be seen as $g$ acting on arbitrary element in the tensor product, right? I mean, isn't arbitrary element in the tensor product a linear combination? Hence, what would the "true" action of $g$ be?
I think if I assume the that $g$ acts on an arbitrary element by linearity (meaning it can pass through the sigma and scalars), then here is my attempt based on my understanding (but I am not sure maybe something is wrong):
We first choose a basis $\{v_i\}$ and $\{w_j\}$ for $V$ and $W$, respectively. Thus, all $\text{dim } V\times \text{dim } W$ elements $v_i \otimes w_j$ form a basis for $V\otimes W$. To show well-definedness, I take elements $a,b\in G$ and two more elements in $V \otimes W$, but the elements in this tensor product is not simply basic tensor, right? Hence, I take $\sum c_{i,j}(v_i\otimes w_j),\sum d_{i,j}(v_i\otimes w_j)\in V\otimes W$ instead. If $a=b$ and $\sum c_{i,j}(v_i\otimes w_j)=\sum d_{i,j}(v_i\otimes w_j)$, then by linear independence, $c_{i,j}=d_{i,j}$ for each $i,j$. Hence, $$\sum c_{i,j}((a.v_i)\otimes (a.w_j)) =\sum d_{i,j}((a.v_i)\otimes (a.w_j))\text{ (by $c_{i,j}=d_{i,j}$)}\\=\sum d_{i,j}((b.v_i)\otimes (b.w_j))\text{ (by well-definedness of each $G$-action on $V$ and $W$)}.$$
Thus, the action map is well-defined. I think showing it satisfies the action property + linearity should be OK.
Question 2: Is the above reasoning correct?
Any suggestion or guidance is really appreciated. Thanks!.