Oops

1 files changed, 14 insertions, 14 deletions

diff --git a/fvv2/n4.lyx b/fvv2/n4.lyx
index 2db00c5..ada1c91 100644
--- a/fvv2/n4.lyx
+++ b/fvv2/n4.lyx
@@ -103,11 +103,11 @@ Dados dos espacios medibles
 rectángulo medible
 \series default
  en 
-\begin_inset Formula $\Omega:=\Omega_{1}\times\Omega_{2}$
+\begin_inset Formula $\Omega\coloneqq \Omega_{1}\times\Omega_{2}$
 \end_inset
 
  a los elementos de 
-\begin_inset Formula ${\cal R}:=\{A\times B\}_{A\in\Sigma_{1},B\in\Sigma_{2}}$
+\begin_inset Formula ${\cal R}\coloneqq \{A\times B\}_{A\in\Sigma_{1},B\in\Sigma_{2}}$
 \end_inset
 
 .
@@ -124,7 +124,7 @@ rectángulo medible
 \end_inset
 
  a 
-\begin_inset Formula $\Sigma:=\Sigma_{1}\times\Sigma_{2}:=\sigma({\cal R})$
+\begin_inset Formula $\Sigma\coloneqq \Sigma_{1}\times\Sigma_{2}\coloneqq \sigma({\cal R})$
 \end_inset
 
 .
@@ -224,11 +224,11 @@ medida imagen
 \end_inset
 
  a la medida 
-\begin_inset Formula $\nu:=\mu g^{-1}:\Sigma'\rightarrow[0,+\infty]$
+\begin_inset Formula $\nu\coloneqq \mu g^{-1}:\Sigma'\rightarrow[0,+\infty]$
 \end_inset
 
  dada por 
-\begin_inset Formula $\nu(A):=\mu(g^{-1}(A))$
+\begin_inset Formula $\nu(A)\coloneqq \mu(g^{-1}(A))$
 \end_inset
 
 .
@@ -360,7 +360,7 @@ teorema
 \end_inset
 
  es acotada y 
-\begin_inset Formula $D(f):=\{x\in[a,b]\mid f\text{ es discontinua en }x\}$
+\begin_inset Formula $D(f)\coloneqq \{x\in[a,b]\mid f\text{ es discontinua en }x\}$
 \end_inset
 
 , entonces 
@@ -450,11 +450,11 @@ función de distribución
 \end_inset
 
  a 
-\begin_inset Formula $F(x):=\mu(\{f\leq x\})$
+\begin_inset Formula $F(x)\coloneqq \mu(\{f\leq x\})$
 \end_inset
 
  o a 
-\begin_inset Formula $\varphi(x):=\mu(\{f>x\})=\mu(\Omega)-F(x)$
+\begin_inset Formula $\varphi(x)\coloneqq \mu(\{f>x\})=\mu(\Omega)-F(x)$
 \end_inset
 
 .
@@ -463,11 +463,11 @@ función de distribución
 \end_inset
 
  una variable aleatoria, 
-\begin_inset Formula $F(x):=\mu(\{f\leq x\})$
+\begin_inset Formula $F(x)\coloneqq \mu(\{f\leq x\})$
 \end_inset
 
  y 
-\begin_inset Formula $\varphi(x):=\mu(\{f>x\})$
+\begin_inset Formula $\varphi(x)\coloneqq \mu(\{f>x\})$
 \end_inset
 
 , entonces 
@@ -524,7 +524,7 @@ Si
 \end_inset
 
  no es acotada, podemos aplicar este resultado a los conjuntos 
-\begin_inset Formula $E_{a,b}:=\{a<f\leq b\}$
+\begin_inset Formula $E_{a,b}\coloneqq \{a<f\leq b\}$
 \end_inset
 
  para 
@@ -532,7 +532,7 @@ Si
 \end_inset
 
  cualesquiera definiendo 
-\begin_inset Formula $\mu_{a,b}(E):=\mu(E\cap E_{a,b})$
+\begin_inset Formula $\mu_{a,b}(E)\coloneqq \mu(E\cap E_{a,b})$
 \end_inset
 
  y usando esta medida.
@@ -601,7 +601,7 @@ Si
 \end_inset
 
  es medible con 
-\begin_inset Formula $\varphi(x):=\mu(\{f>x\})$
+\begin_inset Formula $\varphi(x)\coloneqq \mu(\{f>x\})$
 \end_inset
 
  y 
@@ -673,7 +673,7 @@ Llamamos
 \end_inset
 
 , escribimos 
-\begin_inset Formula ${\cal L}^{p}(\mu):={\cal L}_{\phi}(\mu)$
+\begin_inset Formula ${\cal L}^{p}(\mu)\coloneqq {\cal L}_{\phi}(\mu)$
 \end_inset
 
 .