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The weighted orthogonal-polynomial Galerkin projection is well-defined
Statement
Under the hypotheses of Weighted orthogonal-polynomial Galerkin spaces and spectral scale, for every real measurable such that for , the formula
is finite and defines the unique element of whose residual is orthogonal to every , .
Facts & Assumptions
Given: A finite positive measure with the support condition in Weighted orthogonal-polynomial Galerkin spaces and spectral scale, an integer , and a real measurable with for .
Weighted orthogonal-polynomial Galerkin spaces and spectral scale: the basis polynomials are monic orthogonal polynomials and .
The polynomial moment pairing is a real inner product: on each finite polynomial space allowed by the moment data, the moment pairing is a positive-definite real inner product.
The given integrability hypotheses make each numerator a finite real number.
The Lebesgue integral is linear on : finite sums and scalar multiples of integrable functions are integrable and may be integrated term by term.
Proof
Each numerator is finite by [F3], and each denominator is finite and strictly positive by [F1]–[F2]. Thus every coefficient in the displayed finite sum is a defined real number.
The integrability hypotheses and [F1] make every term in the finite sum integrable, and [F4] distributes its integral. Orthogonality of the then gives, for each , because all terms with vanish and the term equals . Thus has the required residual orthogonality.
If has the same residual property, then lies in and is orthogonal to every basis vector, hence to itself. Positive definiteness in [F2] gives , so in and . This proves uniqueness.
Depends on
Used by
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Dependency tree · two levels
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Sources
- Jie Shen and Tao Tang, Spectral and High-Order Methods with Applications, §3.1 (standard reference, not scraped)
- Lloyd N. Trefethen, Finite Difference and Spectral Methods for Ordinary and Partial Differential Equations, Ch. 8 (standard reference, not scraped)