雅可比导数公式的高阶推广及其代数几何类比

IF 0.3 4区 数学 Q4 MATHEMATICS Journal De Theorie Des Nombres De Bordeaux Pub Date : 2021-09-10 DOI:10.5802/jtnb.1164
David Grant
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引用次数: 0

摘要

我们推广了奇m的Jacobi导数公式,通过在1个变量中写θ函数的0处的高阶导数的m×m行列式,其中特征向量的项为1 2mZ,作为显式常数乘以Dedekindη-函数的幂。我们通过从代数几何版本中导出它来实现这一点,该版本具有不划分6m的特性。引言在θ函数恒等式的万神殿中,Jacobi的导数公式占据了中心位置。回想一下,对于τ∈h={x+iy|y>0},a,b∈R,我们定义了特征向量为[ab]的一个变量z∈C中的θ函数:(1)θ[ab](z,τ)=∑n∈z eπi(n+a)τ+2πi(n+a)(z+b)。具有A,b∈12Z的特征向量[ab]称为θ特征,根据θ[ab](z,τ)是z的奇函数还是偶函数,称为奇函数或偶函数。Manuscrit reçu le 6 février 2020,réviséle 2 février2021,acceptéle 18 maié2021。2010年数学学科分类。14K25、14H42。Mots clefs。Theta函数,椭圆曲线。
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A higher-order generalization of Jacobi’s derivative formula and its algebraic geometric analogue
We generalize Jacobi’s derivative formula for odd m by writing an m × m determinant of higher order derivatives at 0 of theta functions in 1 variable with characteristic vectors with entries in 1 2mZ as an explicit constant times a power of Dedekind’s η-function. We do so by deriving it from an algebraic geometric version that holds in characteristic not dividing 6m. Introduction In the vast pantheon of theta function identities, a central position is held by Jacobi’s derivative formula. Recall that for τ ∈ h = {x+ iy | y > 0}, and a, b ∈ R, we define the theta function in one variable z ∈ C with characteristic vector [ a b ] by (1) θ [ a b ] (z, τ) = ∑ n∈Z eπi(n+a) τ+2πi(n+a)(z+b). A characteristic vector [ a b ] with a, b ∈ 1 2Z is called a theta characteristic, which is called odd or even depending on whether θ [ a b ] (z, τ) is an odd or even function of z. Modulo 1 there is a unique odd theta characteristic δ := [ 1/2 1/2 ] , and three even ones, 1 := [ 0 0 ] , 2 := [ 1/2 0 ] , 3 := [ 0 1/2 ] . Manuscrit reçu le 6 février 2020, révisé le 2 février 2021, accepté le 18 mai 2021. 2010 Mathematics Subject Classification. 14K25, 14H42. Mots-clefs. Theta functions, elliptic curves.
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0.60
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0.00%
发文量
35
期刊介绍: The Journal de Théorie des Nombres de Bordeaux publishes original papers on number theory and related topics (not published elsewhere).
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