diff --git a/src/3_vector_spaces.md b/src/3_vector_spaces.md
index 5f5cb26171e33f752795b5a9b3cd98426b551a9b..ec31a6ae21535c26552d3b839be36adb2dd1d95d 100644
--- a/src/3_vector_spaces.md
+++ b/src/3_vector_spaces.md
@@ -68,11 +68,11 @@ $$\vec{a}_1 = (1, 0, 0) \, ,\qquad \vec{a}_2 = (0, 1, 0)\, ,\qquad \vec{a}_3 = (
 We can consider one example in the two-dimensional real vector space $\mathbb{R}$, namely the $(x,y)$ coordinate plane, shown below.
 
 <figure markdown>
-  ![image](figures/3_vector_spaces_1.jpg)
+  ![image](figures/3_vector_spaces_1.jpg){ width="90%" }
   <figcaption></figcaption>
 </figure>
   
-We see how the same vector $\vec{v}$ can be expressed in two different bases. In the first one (left panel), the Cartesian basis, its components are $\vec{v}=(2,2)$. But in the second basis (right panel), the components are different, being instead $\vec{v}=(2.4 ,0.8)$,
+In this figure, you can see how the same vector $\vec{v}$ can be expressed in two different bases. In the first one (left panel), the Cartesian basis, its components are $\vec{v}=(2,2)$. But in the second basis (right panel), the components are different, being instead $\vec{v}=(2.4 ,0.8)$,
 though the magnitude and direction of the vector itself remain unchanged.
 
 For many problems, both in mathematics and in physics, the appropiate choice of the vector space basis will significantly facilitate