Chebyshev polynomials of the first kind

GPTKB entity

Statements (63)
Predicate Object
gptkbp:instance_of gptkb:Marxism
gptkbp:are_defined_by_the_formula T_n(cos(θ)) = cos(nθ)
gptkbp:associated_with Chebyshev nodes
gptkbp:asymptotic_behavior T_n(x) ~ (1/2) * (1 -x^2)^(1/2) for large n
gptkbp:differential_equation (1-x^2)y'' -xy' + n^2y = 0
gptkbp:even_function gptkb:true
gptkbp:first_polynomial T_0(x) = 1
gptkbp:has_produced Chebyshev series
gptkbp:has_property bounded between -1 and 1
https://www.w3.org/2000/01/rdf-schema#label Chebyshev polynomials of the first kind
gptkbp:is_defined_by T_n(x) = cos(n * arccos(x))
gptkbp:maximum_value 1 for |x| <= 1
gptkbp:minimum_value -1 for |x| <= 1
gptkbp:named_after gptkb:Pafnuty_Chebyshev
gptkbp:offers_degree n
gptkbp:orthogonal_polynomial gptkb:true
gptkbp:orthogonal_with_respect_to weight function w(x) = (1/sqrt(1-x^2))
gptkbp:recurrence_relation T_n(x) = 2x T_{n-1}(x) -T_{n-2}(x) for n > 1
gptkbp:roots x_k = cos((2k-1)π/(2n)), k = 1, 2, ..., n
gptkbp:second_polynomial T_1(x) = x
gptkbp:symmetric gptkb:true
gptkbp:used_for finite element methods
spectral methods
function interpolation
gptkbp:used_in gptkb:Control
gptkb:Artificial_Intelligence
gptkb:Graphics_Processing_Unit
gptkb:quantum_computing
gptkb:cloud_computing
gptkb:neural_networks
gptkb:machine_learning
gptkb:robotics
image processing
data analysis
audio processing
computer vision
deep learning
financial modeling
high-performance computing
statistical analysis
video processing
data mining
edge computing
signal processing
optimization problems
approximation of functions
data compression
data fitting
numerical analysis
control theory
curve fitting
approximation theory
pattern recognition
solving differential equations
signal detection
numerical integration
image compression
system identification
function approximation
signal reconstruction
big data analysis
signal filtering
machine vision