Lagrange interpolation formula
A formula for obtaining a polynomial of degree (the Lagrange interpolation polynomial) that interpolates a given function
at nodes
:
![]() | (1) |
When the are equidistant, that is,
, using the notation
one can reduce (1) to the form
![]() | (2) |
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In the expression (2), called the Lagrange interpolation formula for equidistant nodes, the coefficients
![]() |
of the are called the Lagrange coefficients.
If has a derivative of order
on the interval
, if all interpolation nodes lie in this interval and if for any point
one defines
![]() |
then a point exists such that
![]() |
where
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If the absolute value of the derivative is bounded on
by a constant
and if the interpolation nodes are chosen such that the roots of the Chebyshev polynomial of degree
are mapped into these points under a linear mapping from
onto
, then for any
one has
![]() |
If the interpolation nodes are complex numbers and lie in some domain
bounded by a piecewise-smooth contour
, and if
is a single-valued analytic function defined on the closure of
, then the Lagrange interpolation formula has the form
![]() |
where
![]() |
The Lagrange interpolation formula for interpolation by means of trigonometric polynomials is:
![]() |
which is a trigonometric polynomial of order having prescribed values
at the given nodes
.
The formula was proposed by J.L. Lagrange in 1795.
References
[1] | I.S. Berezin, N.P. Zhidkov, "Computing methods" , Pergamon (1973) (Translated from Russian) |
[2] | N.S. Bakhvalov, "Numerical methods: analysis, algebra, ordinary differential equations" , MIR (1977) (Translated from Russian) |
Comments
References
[a1] | P.J. Davis, "Interpolation and approximation" , Dover, reprint (1975) pp. 108–126 |
[a2] | L.W. Johnson, R.D. Riess, "Numerical analysis" , Addison-Wesley (1977) |
[a3] | G.M. Phillips, P.J. Taylor, "Theory and applications of numerical analysis" , Acad. Press (1973) |
Lagrange interpolation formula. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Lagrange_interpolation_formula&oldid=17497