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arXiv 1608.00801math.CAmath.AP
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关于涉及多项式导数的时间尺度上偏动态方程的研究

A study on partial dynamic equation on time scales involving derivatives of polynomials

Petro Kolosov

AI总结:

该研究在二维时间尺度框架下,推导了奇次幂多项式的时间尺度导数与特定点处多项式偏导数的关联恒等式,并借此统一阐释了有限差分、经典导数、q-导数等多种导数算子。

摘要:

设$P(m,b,x)$是关于$x,b$的$2m+1$次多项式。设二维时间尺度$Λ^2 = \mathbb{T}_1 \times \mathbb{T}_2 = \{t=(x, b) \colon \\; x\in\mathbb{T}_1, \\; b\in\mathbb{T}_2 \}$,满足$\mathbb{T}_1 = \mathbb{T}_2$。本文推导并讨论了一个恒等式,该恒等式将奇次幂多项式的时间尺度导数与在特定点取值的多项式$P(m,b,x)$的偏导数联系起来。对每个$t\in\mathbb{T}_1$和$(x,b) \in Λ^2$,有\\[\n \frac{Δx^{2m+1}}{Δx}(t) =\n \frac{\partial P(m,b,x)}{Δx} (m, σ(t), t) +\n \frac{\partial P(m,b,x)}{Δb} (m, t, t) \\]\n其中$σ(t) > t$是前跳算子。此外,我们结合上述方程的偏例讨论了多种导数算子,借此展示了有限差分、经典导数、$q-$导数、$q-$幂导数。

英文摘要:

Let $P(m,b,x)$ be a $2m+1$-degree polynomial in $x,b$. Let be a two-dimensional timescale $Λ^2 = \mathbb{T}_1 \times \mathbb{T}_2 = \{t=(x, b) \colon \; x\in\mathbb{T}_1, \; b\in\mathbb{T}_2 \}$ such that $\mathbb{T}_1 = \mathbb{T}_2$. In this manuscript we derive and discuss an identity that connects the timescale derivative of odd-power polynomial with partial derivatives of polynomial $P(m,b,x)$ evaluated in particular points. For every $t\in\mathbb{T}_1$ and $(x,b) \in Λ^2$ \[ \frac{Δx^{2m+1}}{Δx}(t) = \frac{\partial P(m,b,x)}{Δx} (m, σ(t), t) + \frac{\partial P(m,b,x)}{Δb} (m, t, t) \] such that $σ(t) > t$ is forward jump operator. In addition, we discuss various derivative operators in context of partial cases of above equation, we show finite difference, classical derivative, $q-$derivative, $q-$power derivative on behalf of it.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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