Math 2.0

Approximations and expansions Definition

Radial basis function

Builds on Euclidean spaceEuclidean distanceFunction

Definition

Let d≥1d \ge 1 and let ∥⋅∥\norm{\cdot} be the Euclidean norm on Euclidean space ℝd\R^d. A radial basis function is a function Φ ⁣:ℝd→ℝ\Phi \colon \R^d \to \R of the form Φ(x)=φ(∥x∥),\Phi(x) = \varphi(\norm{x}), for some function φ ⁣:[0,∞)→ℝ\varphi \colon [0, \infty) \to \R. For a centre c∈ℝdc \in \R^d, the translate x↦φ(∥x−c∥)x \mapsto \varphi(\norm{x - c}) depends only on the Euclidean distance from xx to cc.

Remarks

Common choices of φ\varphi, with a shape parameter ε>0\varepsilon > 0:

  1. Gaussian: φ(r)=e−(εr)2\varphi(r) = e^{-(\varepsilon r)^2};
  2. multiquadric: φ(r)=1+(εr)2\varphi(r) = \sqrt{1 + (\varepsilon r)^2};
  3. inverse multiquadric: φ(r)=1/1+(εr)2\varphi(r) = 1 / \sqrt{1 + (\varepsilon r)^2};
  4. polyharmonic splines: φ(r)=rk\varphi(r) = r^k for odd kk and φ(r)=rklog⁡r\varphi(r) = r^k \log r for even kk, with φ(0)=0\varphi(0) = 0.

Example: Φ(x)=e−∥x∥2\Phi(x) = e^{-\norm{x}^2} on ℝ2\R^2 is radial: Φ(x1,x2)=e−(x12+x22)\Phi(x_1, x_2) = e^{-(x_1^2 + x_2^2)} only depends on ∥x∥\norm{x}. For instance Φ(1,0)=Φ(0,1)=e−1\Phi(1, 0) = \Phi(0, 1) = e^{-1}.

Non-example: Ψ(x1,x2)=e−(x12+2x22)\Psi(x_1, x_2) = e^{-(x_1^2 + 2 x_2^2)} is not radial: ∥(1,0)∥=∥(0,1)∥=1\norm{(1, 0)} = \norm{(0, 1)} = 1, but Ψ(1,0)=e−1≠e−2=Ψ(0,1)\Psi(1, 0) = e^{-1} \ne e^{-2} = \Psi(0, 1).

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Further reading

  1. Web https://en.wikipedia.org/wiki/Radial_basis_function
About this page
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MSC41A30, 41A63, 65D12
DefinesRadial basis function
UsesEuclidean space, Euclidean distance, Function

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