Dimension of a multivariate polynomial space

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The dimension of the space of polynomials in n variables of degree at most d is given by C(n+d,d). When restricting these polynomials to the unit ball, certain polynomials vanish, specifically those of the form (sum(i=1..n) x_i^2)^p for natural numbers p. One professor suggests subtracting the cardinality of this set from C(n+d,d), while another professor argues for using the formula C(n+d,d) - C(n+d-2,d-2), indicating that more polynomials vanish on the unit sphere. The discussion highlights that polynomials of degree d-2 or less can be multiplied by (x^2 + y^2 - 1) to yield vanishing polynomials, thus justifying the latter formula. The conversation also touches on resources for understanding polynomial spaces and the nature of mappings in this context.
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Consider the space of all polynomials in n variables of degree at most d. The dimension of that space is C(n+d,d). How do I calculate the dimension of that same space when I restrict the domain of the polynomials to the unit ball? In that case all the polynomials (sum(i=1..n) x_i^2)^p with p a natural number are identical to the polynomial 1. One professor agrees with me that you have to subtract the cardinality of the set {(sum(i=1..n) x_i^2)^p | p in N} from C(n+d,d). But in my course text (written by another professor) sais that the correct formula is C(n+d,d)-C(n+d-2,d-2)
 
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I think the issue is that there are actually more polynomials that "vanish" when you restrict to the unit sphere (FYI, mathematicians use the word "ball" to include the interior of the sphere, where \sum x^2 \leq 1).

For example, if n=2 you know that x^2 + y^2 - 1 = 0 (on the unit sphere), but also, (x^2 + y^2 - 1)x = 0. In general, (x^2 + y^2 - 1)f(x) = 0 for any polynomial f(x). Since you're only looking at polynomials of degree d or less, you'll only want to f(x) to be of degree d-2 or less (so that (x^2 + y^2 -1)f(x) is of degree d or less). So the dimension of the space of "vanishing polynomials" is C(n+d-2,d-2), which is why you need to subtract this amount.
 
hi, how to calculate the dimensionality of a polynomial space which has d variables and degree n? I googled but cannot find any answer. What kind of book should I read?
 
Just out of curiosity, does the mapping of x to f(x) have to be for all real numbers or just a particular subset?
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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