
arXiv: 1205.2420
We show that any $N$-dimensional linear subspace of $L^2(\mathbb{T})$ admits an orthonormal system such that the $L^2$ norm of the square variation operator $V^2$ is as small as possible. When applied to the span of the trigonometric system, we obtain an orthonormal system of trigonometric polynomials with a $V^2$ operator that is considerably smaller than the associated operator for the trigonometric system itself.
18 pages
42B05, square variation, 42C05, Fourier series and coefficients in several variables, Probability (math.PR), Fourier analysis, orthogonal systems, Mathematics - Classical Analysis and ODEs, 42A61, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, maximal operator, Probabilistic methods for one variable harmonic analysis, Mathematics - Probability
42B05, square variation, 42C05, Fourier series and coefficients in several variables, Probability (math.PR), Fourier analysis, orthogonal systems, Mathematics - Classical Analysis and ODEs, 42A61, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis, maximal operator, Probabilistic methods for one variable harmonic analysis, Mathematics - Probability
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