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Data · dataset · 2014

BIJ: Matlab programs for testing and extending Bernstein's Inequality for Jacobi polynomials

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<p>Bernstein&rsquo;s inequality for Jacobi polynomials with parameters alpha, beta is analyzed here analytically and, above all, computationally with regard to validity and sharpness.

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Computation suggests that the inequality holds with new, somewhat larger, constants in any region R_s={-1/2&lt;=alpha&lt;=s, -1/2&lt;=beta&lt;=s}. Best constants are provided for s =1 : .5 : 4 and s =5 : 1 : 10.

The work also sheds new light on the so-called Erdelyi&ndash;Magnus&ndash;Nevai conjecture for orthonormal Jacobi polynomials, adding further support for its validity and suggesting .66198126. . . as the best constant implied in the conjecture.</p>

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Mathematics
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DataCite10.4231/r7v985z512 d agoJSON v1
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