this is for holding javascript data
Francesco Romeo added section_Relations_Let_A_and__.tex
about 8 years ago
Commit id: bf4e5ee9a2ec2bb7075873301a00652a5a068ecf
deletions | additions
diff --git a/section_Relations_Let_A_and__.tex b/section_Relations_Let_A_and__.tex
new file mode 100644
index 0000000..4900849
--- /dev/null
+++ b/section_Relations_Let_A_and__.tex
...
\section*{Relations}
Let $A$ and $B$ be two sets and $A \times B $ their Cartesian Product, we define \textbf{Relation} a subset $\mathcal{R}$ of $A \times B $. \ \\
E.g.:
\begin{center}
$A=\lbrace0,1,2\rbrace$ \ \\
$B=\lbrace-1,1\rbrace$ \ \\
$A \times B = \lbrace(0,-1),(0,1),(1,-1),(1,1),(2,-1),(2,1) \rbrace$ \ \\
we take e.g.: $\mathcal{R}= \lbrace(0,1),(2,-1) \rbrace$
\end{center}
and if we look we could say that this is the set of the pairs whose sum is 1 and so:
\begin{center}
$\mathcal{R}= \lbrace (a,b) \in A\times B \mid a+b=1 \rbrace$
\end{center}
or we could say that $a\mathcal{R} b \Leftrightarrow a+b=1$.\\
If we take $B=A$ then $A\times A=A^{2}$ and the relation $ \mathcal{R}$ is a binary relation.
Some properties of binary relations:
\begin{itemize}
\item \textbf{Reflexive} $$\forall a \in A \ \ \ \ a \mathcal{R} a $$
\item \textbf{Symmetric} $$\forall a,b \in A \ \ if \ a \mathcal{R} b \Rightarrow b \mathcal{R} a $$
\item \textbf{Antisymmetric} $$\forall a,b \in A \ \ if \ a \mathcal{R} b \ and \ b \mathcal{R} a \Rightarrow a=b$$
\item \textbf{Transitive} $$\forall a,b,c \in A \ \ if \ a \ \mathcal{R} b \ and \ b \mathcal{R} c \Rightarrow a \mathcal{R} c$$
\end{itemize}
and so we could define
\begin{center}
\textbf{Equivalence Relation} if it is Reflexive,Symmetric and Transitive \ \\
\textbf{Order Relation} if it is Reflexive, Antisymmetric and Transitive.
\end{center}
\ \\
In particular, let $\mathcal{R}$ be an Equivalence Relation over the set $A$, we could regroup the elements that are related each other in the same class with an unique representative, i.e. $x$, and this is called \textit{equivalence class of the element $x$}, denoted by $[x]$. Finally we call \textbf{Quotient Set} :
\begin{center}
$A_{/\mathcal{R}}=\big\lbrace[x] \ \ | \ \ x \in A \big\rbrace$
\end{center}
The quotient set will play a main role in the construction of the cryptography over particular finite sets.