More improvements to knowledge base

1 files changed, 2 insertions, 1 deletions

diff --git a/source/know/concept/conditional-expectation/index.md b/source/know/concept/conditional-expectation/index.md
index f64fa72..cd40315 100644
--- a/source/know/concept/conditional-expectation/index.md
+++ b/source/know/concept/conditional-expectation/index.md
@@ -41,7 +41,7 @@ Where $$Q$$ is a renormalized probability function,
 which assigns zero to all events incompatible with $$Y = y$$.
 If we allow $$\Omega$$ to be continuous,
 then from the definition $$\mathbf{E}[X]$$,
-we know that the following Lebesgue integral can be used,
+we know that the following *Lebesgue integral* can be used,
 which we call $$f(y)$$:
 
 $$\begin{aligned}
@@ -103,6 +103,7 @@ such that $$\mathbf{E}[X | \sigma(Y)] = f(Y)$$,
 then $$Z = \mathbf{E}[X | \sigma(Y)]$$ is unique.
 
 
+
 ## Properties
 
 A conditional expectation defined in this way has many useful properties,