JacobiWeight(β,α,s::Space)

weights a space s by a Jacobi weight, which on -1..1 is (1+x)^β*(1-x)^α. For other domains, the weight is inferred by mapping to -1..1.

LogWeight(β,α,s::Space)

represents a function on -1..1 weighted by log((1+x)^β*(1-x)^α). For other domains, the weight is inferred by mapping to -1..1.

WeightedJacobi(β, α, d::Domain = ChebyshevInterval())

The space JacobiWeight(β,α,Jacobi(β,α,d)).

increase_jacobi_parameter(f) multiplies by 1-x^2 on the unit interval. increase_jacobi_parameter(-1,f) multiplies by 1+x on the unit interval. increase_jacobi_parameter(+1,f) multiplies by 1-x on the unit interval. On other domains this is accomplished by mapping to the unit interval.