Series

Series{C,M}

Class representing multivariate series. The series is a dictionary, which associates values of type C to monomials of type M.

dual(p::Polynomial) -> Series{C,M}

Compute the series associated to the polynomial p, replacing the variables xi by their dual variables dxi. C is the type of coefficients of the polynomial p and M its type of monomials.

dot(σ::Series{C,M}, p::Variable) -> C
dot(σ::Series{C,M}, p::Monomial) -> C
dot(σ::Series{C,M}, p::Term) -> C
dot(σ::Series{C,M}, p::Polynomial) -> C
dot(σ::Series{C,M}, p::Polynomial, q::Polynomial) -> C

Compute the dot product $‹ p, q ›_{σ} = ‹ σ | p q ›$ or $‹ σ | p ›$ for p, q polynomials, terms or monomials. Apply the linear functional sigma on monomials, terms, polynomials

moment(w::Vector{C}, P::Matrix{C}) -> Vector{Int64} -> C

Compute the moment function $α -> ∑_{i} ω_{i} P_{i}^α$ associated to the sequence P of r points of dimension n, which is a matrix of size r*n and the weights w.

moment(p::Polynomial, zeta::Vector{C}) -> Vector{Int64} -> C

Compute the moment function $α \rightarrow p(ζ^α)$.

Construct the series with the term (c,m).

Construct the series from an array of pairs m=>c where m is a monomial and c the associate coefficient.

series(f::Function, L::Vector{M}) -> Series{C,M}

Compute the generating series $\sum_{x^{α} \in L} f(α) z^α$ for a function $f: \mathbb{N}^n \rightarrow C$ and a sequence L of monomials.

series(w:: Vector{C}, P::Matrix{C}, L::Vector{M}) -> Series{C,M}

Compute the series of the moment sequence $∑_{i} ω_{i} P_{i}^α$ for $α \in L$.

series(w:: Vector{C}, P::AbstractMatrix, X, d::Int64) -> Series{C,M}

Compute the series of the moment sequence $∑_i ω_{i} P_{i}^α$ for $|α| \leq d$.

series(p::Polynomial, zeta, X, d::Int64) -> Series

Compute the series of moments $p(ζ^α)$ for $|α| \leq d$.

series(H::Matrix{C}, L1::Vector{M}, L2::Vector{M}) -> Series{C,M}

Compute the series associated to the Hankel matrix H, with rows (resp. columns) indexed by the array of monomials L1 (resp. L2).

scale(σ,λ)

Scale the moments $σ_α$ by $λ^{deg(α)}$.

scale!(σ,λ)

Scale the moments $σ_α$ by $λ^{deg(α)}$, overwriting $σ$

Multiply the elements of L by the variable v

 *(v::Variable,   σ::Series{C,M}) -> Series{C,M}
 *(m::Monomial,   σ::Series{C,M}) -> Series{C,M}
 *(t::Term,       σ::Series{C,M}) -> Series{C,M}
 *(p::Polynomial, σ::Series{C,M}) -> Series{C,M}

The dual product (or co-product) where variables are inverted in the polynomial and the monomials with positive exponents are kept in the series.

maxdegree(σ::Series) -> Int64

Maximal degree of the moments defined in the series σ.

hankel(σ::Series{C,M}, L1::Vector{M}, L2::Vector{M}) -> Array{C,2}

Hankel matrix of $σ$ with the rows indexed by the list of polynomials L1 and the columns by L2. The entries are the dot product for $σ$ of the corresponding elements in L1 and L2.

Example

julia> L =[1, x1, x2, x1^2, x1*x2, x2^2]

julia> H = hankel(s,L,L)
6x6 Array{Float64,2}:
  4.0   5.0   7.0    5.0  11.0  13.0
  5.0   5.0  11.0   -1.0  17.0  23.0
  7.0  11.0  13.0   17.0  23.0  25.0
  5.0  -1.0  17.0  -31.0  23.0  41.0
 11.0  17.0  23.0   23.0  41.0  47.0
 13.0  23.0  25.0   41.0  47.0  49.0

Generate the table of Hankel matrices $H_α$ associated to the monomials $x^α$ generating the space of Hankel matrices indexed by L1 (for the rows) and L2 (for the columns).