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通过导出的布劳尔群对导出光滑流形上的导出阿祖马亚代数进行分类

A Picard-Theoretic Brauer Object for Derived Smooth Manifolds

Yimu Mao, Christopher Tropp

arXiv 2607.22668首次发表:更新:

AI 中文总结

研究通过拉回Toën的范畴导出布劳尔层对导出光滑流形上导出阿祖马亚代数分类,得到范畴布劳尔层同伦型及层化布劳尔类群,揭示拉回范畴布劳尔不变量由导出单位层全同伦型决定。

AI 中文摘要

对于Spivak意义下的导出光滑流形\((X,\mathcal{O}_X)\),我们沿着从单纯\(C^\infty\)环到连通单纯交换环的遗忘函子拉回Toën的范畴导出布劳尔层,然后在\(X\)的开位点上进行层化。得到的范畴布劳尔层具有同伦型\(\mathfrak{Br}_X \simeq K(\underline{\mathbb Z},1) \times B^2GL_1(\mathcal{O}_X)\)。其层化布劳尔类群为\(dBr(X):=\pi_0\Gamma(X,\mathfrak{Br}_X) \cong H^1(X,\underline{\mathbb Z}) \times \pi_0\Gamma(X,B^2GL_1(\mathcal{O}_X))\),当结构层离散时可恢复通常的\(H^2(X,\mathcal{O}_X^\times)\)公式。这表明拉回范畴布劳尔不变量由导出单位层的全同伦型决定。

英文摘要

Let $X=(|X|,\mathcal O_X)$ be a derived smooth manifold in the sense of Spivak. After passing from the simplicial $C^\infty$-structure sheaf to a connective spectral structure sheaf $\mathbb O_X$, we construct the intrinsic Picard hypersheaf of invertible $\mathbb O_X$-modules and define its delooping \[ \operatorname{Br}^{\mathrm{Pic}}_X :=B\operatorname{Pic}_{\mathbb O_X}. \] On the ordinary open site of $|X|$, we prove an equivalence of hypersheaves of connected pointed spaces \[ \operatorname{Br}^{\mathrm{Pic}}_X \simeq K(\underline{\mathbb Z},1) \times B^2\operatorname{GL}_1(\mathbb O_X). \] The statement is unconditional at the level of Picard torsors. Its interpretation as a classification of forms of the module category is made under an explicit category-valued open-hyperdescent hypothesis, and representability by an internal $E_1$-algebra is separated further by a global compact-local-generator hypothesis together with internal mapping objects, their base-change equivalences, and relative Morita continuity. For an ordinary paracompact smooth manifold $M$, the real and complex coefficient theories recover, respectively, the pointed-set decompositions \[ H^1_{\mathrm{sing}}(M;\mathbb Z) \times H^2_{\mathrm{sing}}(M;\mathbb Z/2) \quad\text{and}\quad H^1_{\mathrm{sing}}(M;\mathbb Z) \times H^3_{\mathrm{sing}}(M;\mathbb Z). \]

Comments35 pages, 0 figure, Generative AI assisted with the written exposition; all mathematical ideas, arguments, proofs, and conclusions were developed by the authors

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