Chebyshev polynomials of the first kind are a set of orthogonal polynomials defined as the solutions to the Chebyshev differential equation and denoted
.
They are used as an approximation to a least squares fit,
and are a special case of the ultra-spherical polynomial (Gegenbauer polynomial)
with
.
Chebyshev polynomial of the first kind,
can be defined by the contour integral

The first seven Chebyshev polynomials of the first kind are:







Orthogonality[edit]
The Chebyshev polynomials are orthogonal polynomials with respect to the weighting function
such that

where
is the Kronecker delta.
Applications in statistical mechanics[edit]
See also[edit]