Dimension of a certain quotient ring of $\mathbb{C}[x_0,\ldots,x_{m-1}]$. Let $A=\mathbb C[x_0,\dots,x_{m-1}]$ be the polynomial ring on $m$ variables. 
Define $X(u)=\sum_{i=0}^{m-1} x_i u^{i+1}$ and denote by $(X(u)^r)_n$ the coefficient of $u^n$ in the expansion of the $r$-th power of $X(u)$, i.e $X(u)^r$. 
Set $I=\langle (X(u)^{r})_s\mid 1\le r \le m+1, \ s\ge m+1 \rangle$.
I am trying to find a basis for $A/I$ and I am guided by some questions:
1) Is that possible to calculate the dimension of $A/I$? In fact, I am happy if I find a way to prove that it is at most $2^m$.
2) What is a Gröbner basis for $I$?
3) What is a linear basis for $A/I$? 
Any help are welcome! 

Added:
If we let $m=2$, then 
$$X(u) =  x_0u +x_1u^2$$ $$X(u)^2 = x_0^2u^2 + 2x_0x_1u^3 + x_1^2 u^4$$  $$X(u)^3 = x_0^3 u^3+ 3x_0^2x_1u^4 + 3 x_0x_1^2u^5+ x_1^3u^6$$
so then $I$ would be generated by $$\{x_0x_1,\ x_1^2, \ x_0^3,\ x_0^2x_1, \ x_0x_1^2,\ x_1^3 \}.$$
Therefore we conclude that $I$ is the ideal generated by $\{ x_0x_1,\ x_1^2, \ x_0^3 \}$, so that $A/I$ is a $\mathbb C$-space with basis given by the image (with respect to the natural projection) of $\{ 1, \ x_0, \ x_0^2, \ x_1 \}$.
 A: So, if you happen to have access to MAGMA, you can run this code.
m := 5;
P<[x]> := PolynomialRing(RationalField(), m+1);

p := P!0;
for i in [1..m] do
    p := p + x[i]*x[m+1]^i;
    end for;

Igen := [];
for r in [1..m+1] do
    C := Coefficients(p^r,x[m+1]);
    for s in [m+2..#C] do
        Append(~Igen,C[s]);
        end for;
    end for;

I := ideal<P|Append(Igen,x[m+1])>;

GroebnerBasis(EasyIdeal(I));

Q := P/I;

Dimension(Q);

Using this I've found that $\text{dim}(A/I)=2^m$ exactly for $m\leq 9$ and computed the corresponding Groebner bases and quotient rings.  I am not sure how this could be proven for all $m$.  Aside from actually computing it, I don't know if there is any way to get the basis of $I$ or $A/I$ in general, as the output seems quite complicated.  MAGMA uses the $\rm F_4$ algorithm to find Groebner bases, which seems to be the fastest method available at this point in time.  If you try to implement a Groebner basis algorithm yourself, however, I would suggest Mutant XL since it is intuitively very easy and still pretty fast.
