Math 2.0

Special functions Definition

Dunkl operator

Builds on ReflectionCoxeter groupDirectional derivative

Definition

Let ℝn\R^n have the standard inner product ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle. For α∈ℝn∖{0}\alpha \in \R^n \setminus \set{0}, let σα(x)=x−2⟨α,x⟩⟨α,α⟩α\sigma_\alpha(x) = x - 2 \frac{\langle \alpha, x \rangle}{\langle \alpha, \alpha \rangle} \alpha be the reflection in the hyperplane orthogonal to α\alpha. Let R⊂ℝn∖{0}R \subset \R^n \setminus \set{0} be a root system: a finite set such that σα(R)=R\sigma_\alpha(R) = R and R∩ℝα={α,−α}R \cap \R \alpha = \set{\alpha, -\alpha} for every α∈R\alpha \in R. Let WW be the finite reflection group generated by the σα\sigma_\alpha, and let R+⊂RR_+ \subset R contain exactly one of α,−α\alpha, -\alpha for each α∈R\alpha \in R. Let k ⁣:R→ℂk \colon R \to \C be a multiplicity function, that is, k(wα)=k(α)k(w \alpha) = k(\alpha) for all w∈Ww \in W and α∈R\alpha \in R. For ξ∈ℝn\xi \in \R^n, the Dunkl operator TξT_\xi acts on smooth functions ff on ℝn\R^n by Tξf(x)=∂ξf(x)+∑α∈R+k(α) ⟨α,ξ⟩ f(x)−f(σαx)⟨α,x⟩,T_\xi f(x) = \partial_\xi f(x) + \sum_{\alpha \in R_+} k(\alpha)\, \langle \alpha, \xi \rangle\, \frac{f(x) - f(\sigma_\alpha x)}{\langle \alpha, x \rangle}, where ∂ξ\partial_\xi is the directional derivative along ξ\xi.

Remarks

Each term of the sum is the same for α\alpha and −α-\alpha, so TξT_\xi does not depend on the choice of R+R_+. The difference quotient extends smoothly across the hyperplane ⟨α,x⟩=0\langle \alpha, x \rangle = 0, so TξT_\xi maps homogeneous polynomials of degree dd to homogeneous polynomials of degree d−1d - 1. Dunkl's theorem states that TξTη=TηTξT_\xi T_\eta = T_\eta T_\xi for all ξ,η∈ℝn\xi, \eta \in \R^n. For k=0k = 0, Tξ=∂ξT_\xi = \partial_\xi.

Example: n=1n = 1, R={1,−1}R = \set{1, -1}, W={x↦x,x↦−x}W = \set{x \mapsto x, x \mapsto -x} and k(±1)=kk(\pm 1) = k. Then Tf(x)=f′(x)+kf(x)−f(−x)xT f(x) = f'(x) + k \frac{f(x) - f(-x)}{x}. For f(x)=xmf(x) = x^m, the quotient is (1−(−1)m)xm−1(1 - (-1)^m) x^{m-1}, so Txm=mxm−1T x^m = m x^{m-1} for even mm and Txm=(m+2k)xm−1T x^m = (m + 2k) x^{m-1} for odd mm.

Non-example: the operator f↦f′(x)+kf(x)xf \mapsto f'(x) + k \frac{f(x)}{x} on ℝ\R is not a Dunkl operator for k≠0k \ne 0. It lacks the reflected term f(−x)f(-x), and it does not even map the constant 11 to a polynomial.

The Dunkl Laplacian ∑i=1nTei2\sum_{i=1}^n T_{e_i}^2 reduces to the Laplacian when k=0k = 0.

Reading path

To understand this page from the ground up, read these 8 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Coxeter group concept
  2. Euclidean space object
  3. Function concept
  4. Reflection concept
  5. Function of several variables concept
  6. Partial derivative concept
  7. Directional derivative concept
  8. Dunkl operator definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Dunkl_operator
About this page
TagABJ88GR4Z0
URIm2://ABJ88GR4Z0
Kinddefinition
WritingW0 stub
MSC33C52, 20F55, 33C80
DefinesDunkl operator
UsesReflection, Coxeter group, Directional derivative

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