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Degrees of Second and Higher-Order Polynomials

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arxiv 2305.03439 v2 pith:RLIAONPC submitted 2023-05-05 cs.LO cs.CCmath.LO

classification cs.LOcs.CCmath.LO
keywords polynomialdegreepolynomialssecond-orderarcticclassicalcompositiondefine
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abstract

Second-order polynomials generalize classical first-order ones in allowing for additional variables that range over functions rather than values. We are motivated by their applications in higher-order computational complexity theory, extending for example classical classes like P or PSPACE to operators in Analysis [doi:10.1137/S0097539794263452, doi:10.1145/2189778.2189780]. The degree subclassifies ordinary polynomial growth into linear, quadratic, cubic etc. In order to similarly classify second-order polynomials, define their degree to be an 'arctic' first-order polynomial (namely a term/expression over variable $D$ and operations $+$ and $\cdot$ and $\max$). This degree turns out to transform as nicely under (now two kinds of) polynomial composition as the ordinary one. We also establish a normal form and semantic uniqueness for second-order polynomials. Then we define the degree of a third-order polynomial to be an arctic second-order polynomial, and establish its transformation under three kinds of composition.

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  1. Second-Order Parameterizations for the Complexity Theory of Integrable Functions

    cs.CC 2025-06 conditional novelty 6.0 of 10

    For 1 < p < infinity, the Lp-modulus, Fourier rate, and step rate parameterizations of the space of p-integrable functions are mutually linearly equivalent.

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