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In mathematics, the Christoffel–Darboux formula or Christoffel–Darboux theorem is an identity for a sequence of
orthogonal polynomials In mathematics, an orthogonal polynomial sequence is a family of polynomials such that any two different polynomials in the sequence are orthogonal In mathematics, orthogonality (mathematics), orthogonality is the generalization of the geom ...
, introduced by and . There is also a "confluent form" of this identity by taking y\to x limit:


Proof


Specific cases


Hermite

The
Hermite polynomials In mathematics, the Hermite polynomials are a classical orthogonal polynomial sequence. The polynomials arise in: * signal processing as Hermitian wavelets for wavelet transform analysis * probability, such as the Edgeworth series, as well a ...
are orthogonal with respect to the gaussian distribution. The H polynomials are orthogonal with respect to \frac e^, and with k_n = 2^n.\sum_^n \frac = \frac\,\frac.The He polynomials are orthogonal with respect to \frac e^, and with k_n = 1.\sum_^n \frac = \frac\,\frac.


Laguerre

The
Laguerre polynomials In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834–1886), are nontrivial solutions of Laguerre's differential equation: xy'' + (1 - x)y' + ny = 0,\ y = y(x) which is a second-order linear differential equation. Thi ...
L_n are orthonormal with respect to the exponential distribution e^, \quad x \in (0, \infty), with k_n = (-1)^n/n!, so\sum_^n L_k(x) L_k(y)=\frac\left _n(x) L_(y)-L_n(y) L_(x)\right/math>


Legendre

Associated Legendre polynomials In mathematics, the associated Legendre polynomials are the canonical solutions of the general Legendre equation \left(1 - x^2\right) \frac P_\ell^m(x) - 2 x \frac P_\ell^m(x) + \left \ell (\ell + 1) - \frac \rightP_\ell^m(x) = 0, or equivalently ...
: : \begin (\mu-\mu')\sum_^L\,(2l+1)\frac\,P_(\mu)P_(\mu')=\qquad\qquad\qquad\qquad\qquad\\\frac\big _(\mu)P_(\mu')-P_(\mu)P_(\mu')\big\end


Christoffel–Darboux kernel

The summation involved in the Christoffel–Darboux formula is invariant by scaling the polynomials with nonzero constants. Thus, each probability distribution \mu defines a series of functionsK_n(x,y) := \sum_^n f_j(x) f_j(y)/h_j, \quad n = 0, 1, \dotswhich are called the Christoffel–Darboux kernels. By the orthogonality, the kernel satisfies \int f(y) K_n(x, y) \mathrm \mu(y)= \beginf(x), & f \in \operatorname\left(p_0, p_1, \ldots, p_n\right) \\ 0, & \int_a^b f(x) p_(x) \mathrm \mu(x)=0(\ell=0,1, \ldots, n)\endIn other words, the kernel is an
integral operator An integral operator is an operator that involves integration. Special instances are: * The operator of integration itself, denoted by the integral symbol * Integral linear operators, which are linear operators induced by bilinear forms involvi ...
that orthogonally projects each polynomial to the space of polynomials of degree up to n.


See also

* Turán's inequalities * Sturm Chain


References

* * * * * (Hardback, Paperback) * Orthogonal polynomials Functional analysis {{mathanalysis-stub