One of the rewards of switching my website to Jekyll is the ability to support MathJax, which means I can write LaTeX-like equations that get nicely displayed in a web browser, like this one \( \sqrt{\frac{n!}{k!(n-k)!}} \) or this one \( x^2 + y^2 = r^2 \).
What’s MathJax?
If you check MathJax website (www.mathjax.org) you’ll see that it is an open source JavaScript display engine for mathematics that works in all browsers.
How to implement MathJax with Jekyll
I followed the instructions described by Dason Kurkiewicz for using Jekyll and Mathjax.
Here are some important details. I had to modify the Ruby library for Markdown in
my _config.yml
file. Now I’m using redcarpet so the corresponding line in the
configuration file is: markdown: redcarpet
To load the MathJax javascript, I added the following lines in my layout post.html
(located in my folder _layouts
)
Of course you can choose a different file location in your jekyll layouts.
Note that by default, the tex2jax preprocessor defines the
LaTeX math delimiters, which are \\(...\\)
for in-line math, and \\[...\\]
for
displayed equations. It also defines the TeX delimiters $$...$$
for displayed
equations, but it does not define $...$
as in-line math delimiters. To enable in-line math delimiter with $...$
, please use the following configuration:
A Couple of Examples
Here’s a short list of examples. To know more about the details behind MathJax, you can always checked the provided documentation available at http://docs.mathjax.org/en/latest/
Let’s try a first example. Here’s a dummy equation:
How do you write such expression? Very simple: using double dollar signs
To display inline math use \\( ... \\)
like this \\( sin(x^2) \\)
which gets
rendered as \( sin(x^2) \)
Here’s another example using type \mathsf
which gets displayed as
Or even better:
is displayed as
\[ \mathbf{X} = \mathbf{Z} \mathbf{P^\mathsf{T}} \]
If you want to use subscripts like this \( \mathbf{X}_{n,p} \) you need to scape the
underscores with a backslash like so \mathbf{X}\_{n,p}
:
will be displayed as
\[ \mathbf{X}_{n,p} = \mathbf{A}_{n,k} \mathbf{B}_{k,p} \]