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Stream: learning: questions

Topic: signs in the dg-nerve


view this post on Zulip Tim Hosgood (May 02 2021 at 16:01):

I've always taken the signs in the definition of the dg-nerve as in Lurie, i.e.

fI=1jk1(1)j(fI{ij}f{ij<<ik}f{i0<<ij}).\partial f_I = \sum_{1\leq j\leq k-1} (-1)^j \big(f_{I\setminus\{i_j\}} - f_{\{i_j<\ldots<i_k\}}\circ f_{\{i_0<\ldots<i_j\}}\big).

However, Faonte disagrees, and gives

fI=1jk1(1)j1fI{ij}+(1)k(j1)+1f{ij<<ik}f{i0<<ij}.\partial f_I = \sum_{1\leq j\leq k-1} (-1)^{j-1} f_{I\setminus\{i_j\}} +(-1)^{k(j-1)+1} f_{\{i_j<\ldots<i_k\}}\circ f_{\{i_0<\ldots<i_j\}}.

If it were just a problem of a global sign, then I wouldn't mind so much, but there's a problem of different "internal" signs for values of k2k\geq2. Does anybody know which definition is "the" good one?

view this post on Zulip Tim Hosgood (May 05 2021 at 13:10):

to be honest, I'd even be mildly content with an abstract reason for why these two should be the same (i.e. why the initial parts of the derivations of these formulas are equivalent)