From 9a09a985ad42a7dd59e34c4d4fe1a7598cc0cf73 Mon Sep 17 00:00:00 2001
From: Maciej Topyla <m.m.topyla@student.tudelft.nl>
Date: Sun, 4 Sep 2022 11:07:29 +0000
Subject: [PATCH] fixing figure size

---
 src/3_vector_spaces.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/3_vector_spaces.md b/src/3_vector_spaces.md
index 5f5cb26..ec31a6a 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
-- 
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