corrected some pages

Several small mistakes/errors were corrected in several proofs/definitions.

Author: JoramSoch

P/mvn-matn.md

@@ -19,7 +19,7 @@ sources:
     title: "Matrix normal distribution"
     in: "Wikipedia, the free encyclopedia"
     pages: "retrieved on 2022-07-31"
-    url: "https://en.wikipedia.org/wiki/Matrix_normal_distribution"
+    url: "https://en.wikipedia.org/wiki/Matrix_normal_distribution#Definition"
 
 proof_id: "P330"
 shortcut: "mvn-matn"
@@ -38,7 +38,7 @@ $$
 
 Setting $p = 1$, $X = x$, $M = \mu$, $U = \Sigma$ and $V = 1$, we obtain
 
-$$ \label{eq:exp-pdf}
+$$ \label{eq:mvn-pdf}
 \begin{split}
 \mathcal{MN}(x; \mu, \Sigma, 1) &= \frac{1}{\sqrt{(2\pi)^{n} |1|^n |\Sigma|^1}} \cdot \exp\left[-\frac{1}{2} \mathrm{tr}\left( 1^{-1} (x-\mu)^\mathrm{T} \, \Sigma^{-1} (x-\mu) \right) \right] \\
 &= \frac{1}{\sqrt{(2\pi)^{n} |\Sigma|}} \cdot \exp\left[-\frac{1}{2} (x-\mu)^\mathrm{T} \, \Sigma^{-1} (x-\mu) \right]

P/norm-mvn.md

@@ -11,7 +11,7 @@ title: "Normal distribution is a special case of multivariate normal distributio
 chapter: "Probability Distributions"
 section: "Univariate continuous distributions"
 topic: "Normal distribution"
-theorem: "Special case of matrix-normal distribution"
+theorem: "Special case of multivariate normal distribution"
 
 sources:
   - authors: "Wikipedia"