8

I tried to write derived tensor products using semantex (copied from p. 27 in the manual).

\documentclass{article}

\usepackage{amsmath,semantex}

\NewSymbolClass\MyBinaryOperator[
    define keys={
        {Lder}{upper=L},
        {Rder}{upper=R},
    },
]
\NewObject\MyBinaryOperator\tensor{\otimes}[
    define keys={
        {der}{Lder},
    },
]
\NewObject\MyBinaryOperator\fibre{\times}[
    % Americans are free to call it \fiber instead
    define keys={
        {der}{Rder},
    },
]

\begin{document}

\begin{equation}
    A\tensor[R,der] B 
\end{equation}

\end{document}

enter image description here

But I would like the L to appear on top of the tensor symbol instead of to the right. Is this possible?

Thanks!

4
  • Is my question unclear? I'm new to this site so just tell me if I can write it better. :)
    – Cinque
    Nov 15, 2020 at 13:17
  • Use \overset{\tensor}{L}.
    – azetina
    Nov 15, 2020 at 15:41
  • @azetina Thanks for your answer! But is it possible to make it a key like above so I can still write \tensor[R,der]?
    – Cinque
    Nov 15, 2020 at 15:46
  • 1
    Yes. Use command command=\overset{L}.
    – azetina
    Nov 15, 2020 at 16:23

3 Answers 3

6

Here is a MWE using semantex. The idea is to use the command key and input the desired command. In this case, you want to over set the L on the symbol. Thus, using command=\overset{L} will suffice.

enter image description here

\documentclass{article}

\usepackage{amsmath,semantex}

\NewSymbolClass\MyBinaryOperator[
    define keys={
        {Lder}{command=\overset{L}},
        {Rder}{upper=R},
    },
]
\NewObject\MyBinaryOperator\tensor{\otimes}[
    define keys={
        {der}{Lder},
    },
]
\NewObject\MyBinaryOperator\fibre{\times}[
    % Americans are free to call it \fiber instead
    define keys={
        {der}{Rder},
    },
]

\begin{document}

\begin{equation}
    A\tensor[R,der] B 
\end{equation}

\end{document}
2
  • Thanks, this was exactly what I wanted! :)
    – Cinque
    Nov 15, 2020 at 18:05
  • Note that @egreg solution and Alan Xiang are also viable and robust.
    – azetina
    Nov 15, 2020 at 18:10
5

I don't know how to do it with semantex, but it's not difficult with other tools.

\documentclass{article}
\usepackage{amsmath}
%\usepackage{xparse} % not needed with LaTeX 2020-10-01 or later

\ExplSyntaxOn

\keys_define:nn { cinque/tensor }
 {
  der .tl_set:N = \l__cinque_tensor_upper_tl,
  der .default:n = L,
  unknown .code:n = \tl_set_rescan:Nnx \l__cinque_tensor_subscript_tl { } { \l_keys_key_str },
 }
\tl_new:N \l__cinque_tensor_subscript_tl

\NewDocumentCommand{\tensor}{O{}}
 {
  \group_begin:
  \keys_set:nn { cinque/tensor } { #1 }
  \tl_if_empty:NTF \l__cinque_tensor_upper_tl
   { \otimes }
   { \overset{\l__cinque_tensor_upper_tl}{\otimes} }
  \tl_if_empty:NF \l__cinque_tensor_subscript_tl { \sb{\l__cinque_tensor_subscript_tl} }
  \group_end:
 }

\ExplSyntaxOff

\begin{document}

$A\otimes B$

$A\tensor B$

$A\tensor[R] B$

$A\tensor[der,R] B$

$A\tensor[R,der] B$

$A\tensor[\mathcal{X}] B$

\end{document}

enter image description here

6
  • What does \sb mean?
    – azetina
    Nov 15, 2020 at 16:30
  • 1
    @azetina It's an alias for _; needed because _ doesn't mean “subscript” in the scope of \ExplSyntaxOn
    – egreg
    Nov 15, 2020 at 16:45
  • @egreg When I wrote semantex, I tried using the \tl_set_rescan:Nnn trick, but ran into issues since some math did not come out as expected after being turned into a string and rescanned. This (and a few other things) prompted me to build my own, separate keyval system (using \keyval_parse:NNn). I never quite figured out the pattern of what code survived the string-ification and rescan. Maybe you can enlighten me?
    – Gaussler
    Nov 15, 2020 at 16:56
  • @Gaussler I have no idea of what will turn out to be useful. I'd just do \NewDocumentCommand{\dertensor}{o}{\overset{L}{\otimes}\IfValueT{#1}{_{#1}}} which is simple and effective.
    – egreg
    Nov 15, 2020 at 17:07
  • @egreg Yes, but it’s sometimes hard to properly control your notation from the preamble. Imagine you make a command \stalk for stalks of a sheaf at a point so that \stalk{#1}{#2} produces #1_{#2}. Applying it to \mathcal{O}_{X}, and you get a double subscript error. I prefer a keyval-based solution where I can write \sheafF[\vX, stalk=\primep] (with \vX meaning “variable X” and \primep being the prime ideal fraktured p) and make it stack the subscripts according to a preprogrammed procedure.
    – Gaussler
    Nov 15, 2020 at 17:12
4

enter image description here

\documentclass{article}
\usepackage[T1]{fontenc}
\usepackage{xparse}
\usepackage{expl3}
\usepackage{amsmath}

\ExplSyntaxOn
\clist_new:N \l_doc_tmpa_clist
\tl_new:N \l_doc_tmpa_tl
\tl_new:N \l_doc_tmpb_tl

\tl_new:N \g_doc_template_a_tl
\tl_gset:Nn \g_doc_template_a_tl {
  \overset{\tiny L}{*1}
}

\cs_generate_variant:Nn \tl_set_rescan:Nnn {NnV}

\DeclareDocumentCommand{\tensor}{O{}}{
  \clist_set:Nn \l_doc_tmpa_clist {#1}
  \tl_set:Nn \l_doc_tmpa_tl {\otimes}
  
  \clist_map_inline:Nn \l_doc_tmpa_clist {
    \str_case:nn {##1}{
      {der} {
       \tl_set_eq:NN \l_doc_tmpb_tl \g_doc_template_a_tl
       \regex_replace_once:nnN {*1} {\u{\l_doc_tmpa_tl}} \l_doc_tmpb_tl
       \tl_set_eq:NN \l_doc_tmpa_tl \l_doc_tmpb_tl
      }
    }
  }
  
  \clist_map_inline:Nn \l_doc_tmpa_clist {
    \str_case:nn {##1}{
      {R} {
       \tl_set:No \l_doc_tmpa_tl {\l_doc_tmpa_tl \c_math_subscript_token {R}}
      }
    }
  }
  
  \mathbin{\tl_use:N \l_doc_tmpa_tl}
}
\ExplSyntaxOff

\begin{document}

\par $a \tensor[R] b$
\par $a \tensor[R,der] b$
\par $a \tensor[der] b$
\end{document}

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