Math 2.0

Harmonic analysis on Euclidean spaces Definition

Positive-definite function

Builds on Positive semidefinite matrixHermitian matrix

Definition

Let n≥1n \ge 1. A function f ⁣:ℝn→ℂf \colon \R^n \to \C is positive-definite if for every N≥1N \ge 1, all points x1,…,xN∈ℝnx_1, \dots, x_N \in \R^n and all c1,…,cN∈ℂc_1, \dots, c_N \in \C, ∑i=1N∑j=1Nci cj‾ f(xi−xj)≥0.\sum_{i=1}^{N} \sum_{j=1}^{N} c_i \, \overline{c_j} \, f(x_i - x_j) \ge 0.

Remarks

Equivalently, each matrix (f(xi−xj))i,j=1N\big( f(x_i - x_j) \big)_{i,j=1}^{N} is Hermitian and positive semidefinite. Taking N=1N = 1 and N=2N = 2 gives f(0)≥0f(0) \ge 0, f(−x)=f(x)‾f(-x) = \overline{f(x)} and ∣f(x)∣≤f(0)\abs{f(x)} \le f(0). This is the case G=ℝnG = \R^n of a positive-definite function on a group, except that continuity is not part of the definition here. Some authors call these functions positive semidefinite and reserve "positive-definite" for strict inequality when the points are distinct and c≠0c \ne 0.

Example: f(x)=cos⁡xf(x) = \cos x on ℝ\R. Since cos⁡(xi−xj)=12(eixie−ixj+e−ixieixj)\cos(x_i - x_j) = \frac12 \big( e^{ix_i} e^{-ix_j} + e^{-ix_i} e^{ix_j} \big), ∑i,jcicj‾cos⁡(xi−xj)=12∣∑icieixi∣2+12∣∑icie−ixi∣2≥0.\sum_{i,j} c_i \overline{c_j} \cos(x_i - x_j) = \frac12 \Big| \sum_i c_i e^{ix_i} \Big|^2 + \frac12 \Big| \sum_i c_i e^{-ix_i} \Big|^2 \ge 0.

Non-example: f=1[−1,1]f = 1_{[-1,1]} on ℝ\R. For the points 0,1,20, 1, 2 the matrix (f(xi−xj))\big(f(x_i - x_j)\big) is (110111011),\begin{pmatrix} 1 & 1 & 0 \\ 1 & 1 & 1 \\ 0 & 1 & 1 \end{pmatrix}, whose determinant is −1-1. A positive semidefinite matrix has nonnegative determinant, so ff is not positive-definite.

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  1. Matrix definition
  2. Square matrix definition
  3. Transpose definition
  4. Conjugate transpose definition
  5. Hermitian matrix definition
  6. Positive semidefinite matrix definition
  7. Positive-definite function definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Positive-definite_function
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