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== Most common usage ==
A '''positive-definite function''' of a real variable ''x'' is a [[complex number|complex]]-valued function ''f'':'''R'''
:<math> A = \left(a_{i,j}\right)_{i,j=1}^n~, \quad a_{i,j} = f(x_i - x_j) </math>
is [[positive-definite matrix|positive '''semi-'''definite]] (which requires ''A'' to be [[Hermitian matrix|Hermitian]]; therefore ''f''(
In particular, it is necessary (but not sufficient) that
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:<math> f(0) \geq 0~, \quad |f(x)| \leq f(0) </math>
(these inequalities follow from the condition for ''n'' = 1, 2.)
A function is '''negative definite''' if the inequality is reversed. A function is '''semidefinite''' if the strong inequality is replaced with a weak (≤,
===Examples===
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{{main|Bochner's theorem}}
Positive-definiteness arises naturally in the theory of the [[Fourier transform]]; it is easy to see directly that to be positive-definite it is sufficient for ''f'' to be the Fourier transform of a function ''g'' on the real line with ''g''(''y'')
The converse result is '''[[Bochner's theorem]]''', stating that any continuous positive-definite function on the real line is the Fourier transform of a (positive) [[
====Applications====
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==In dynamical systems==
A [[real number|real]]-valued, continuously differentiable [[function (mathematics)|function]] ''f'' is '''positive definite''' on a neighborhood of the origin, ''D'', if <math>f(0) = 0</math> and <math>f(x) > 0</math> for every non-zero <math>x \in D</math>.<ref>{{cite book|last=Verhulst|first=Ferdinand|title=Nonlinear Differential Equations and Dynamical Systems|edition=2nd|publisher=Springer|year=1996|isbn=3-540-60934-2}}</ref><ref>{{cite book|last=Hahn|first=Wolfgang|title=Stability of Motion|publisher=Springer|year=1967}}</ref> This definition is in conflict with the one above.
==See also==
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