Dimension of a multivariate polynomial space

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Discussion Overview

The discussion revolves around calculating the dimension of the space of multivariate polynomials of degree at most d, specifically when the domain is restricted to the unit ball. Participants explore how this restriction affects the dimension, particularly in relation to polynomials that vanish on the boundary of the unit ball.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant asserts that the dimension of the polynomial space is given by C(n+d,d) and suggests that when restricting to the unit ball, one must subtract the cardinality of the set of polynomials of the form (sum(i=1..n) x_i^2)^p, which are equivalent to the polynomial 1.
  • Another participant counters that there are additional polynomials that vanish on the unit sphere, providing the example of (x^2 + y^2 - 1)x = 0, and argues that the dimension of the space of these vanishing polynomials is C(n+d-2,d-2), leading to the need to subtract this amount instead.
  • A third participant inquires about the dimensionality of polynomial spaces in a more general sense, asking for resources to understand the topic better.
  • Another participant raises a question about the nature of the mapping of x to f(x), asking whether it must apply to all real numbers or just a specific subset.

Areas of Agreement / Disagreement

Participants express differing views on how to calculate the dimension of the polynomial space when restricted to the unit ball. There is no consensus on the correct approach, with competing models presented regarding the treatment of vanishing polynomials.

Contextual Notes

Participants mention specific conditions and definitions, such as the use of the term "ball" to include the interior of the sphere, and the need for polynomials to be of a certain degree to maintain the overall degree constraint.

Who May Find This Useful

Readers interested in polynomial spaces, dimensionality in multivariate calculus, and mathematical reasoning related to constraints in polynomial functions may find this discussion relevant.

dJesse
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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 [itex]\sum x^2 \leq 1[/itex]).

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?
 

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