Jump to content

File:Monad morphism algebra.svg

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
From Wikipedia, the free encyclopedia

Original file (SVG file, nominally 168 × 160 pixels, file size: 14 KB)

Summary

Description
English: svg version of Monad alg morph.png
Date
Source Own work
Author IkamusumeFan
Other versions Monad alg morph.png

LaTeX Source Code

% Author: Smimram, Ika
% Update Date: 11/13/2014

\documentclass{amsart}
\usepackage[paperwidth=134px, paperheight=128px, top=-14px, left=0px, right=0px, bottom=0px]{geometry}
\usepackage{amsmath,amssymb,nopageno}
\usepackage[all]{xy}
\begin{document}
\Huge
\[
	\xymatrix@C+2em@R+2em{
	Tx \ar^{Tf}[r] \ar_h[d] & Tx' \ar^{h'}[d]\\
	x \ar_f[r] & x'
	}
\]
\end{document}

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

13 November 2014

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current09:23, 13 November 2014Thumbnail for version as of 09:23, 13 November 2014168 × 160 (14 KB)IkamusumeFanUser created page with UploadWizard

The following page uses this file:

Global file usage

The following other wikis use this file:

Metadata