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Leibniz complexity of Nash functions on differentiations

机译:纳什函数对微分的莱布尼兹复杂度

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摘要

The derivatives of Nash functions are Nash functions which are derived algebraically from their minimal polynomial equations. In this paper we show that, for any non-Nash analytic function, it is impossible to derive its derivatives algebraically, i.e., by using linearity and Leibniz rule finite times. In fact we prove the impossibility of such kind of algebraic computations, algebraically by using Kahler differentials. Then the notion of Leibniz complexity of a Nash function is introduced in this paper, as a computational complexity on its derivative, by the minimal number of usages of Leibniz rules to compute the total differential algebraically. We provide general observations and upper estimates on Leibniz complexity of Nash functions, related to the binary expansions, the addition chain complexity, the non-scalar complexity and the complexity of Nash functions in the sense of Ramanakoraisina.
机译:Nash函数的导数是Nash函数,它们是从其最小多项式方程式代数导出的。在本文中,我们表明,对于任何非Nash解析函数,都不可能以代数方式导出其导数,即无法通过使用线性和莱布尼兹规则有限时间来导出。实际上,我们通过使用Kahler微分证明了这种代数计算的可能性。然后,本文介绍了纳什函数的莱布尼兹复杂度的概念,作为其导数的计算复杂度,通过最少使用莱布尼兹规则来代数计算总微分的方法。我们从Ramanakoraisina的意义上提供关于Nash函数的莱布尼兹复杂度的一般性观察和较高估计,与二进制扩展,加法链复杂度,非标量复杂度和Nash函数的复杂度有关。

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