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Sets and maps

A function or map from a set X to a set Y is a set of ordered pairs from X and Y (pairs like (x,y) are the coordinates in the graph of the function) satisfying the uniqueness of image property:
for all $x\in X$, there exists a unique $y\in
Y$ that is related to the given x
Then we usually write y = f(x) or just y = fx, and $f:X \to Y: x \mapsto f(x)$.

A map $f:X \to Y$ may have any or none of the following properties:


uniqueness of image    injectivity (1 to 1)		  f(x) = f(y) implies x=y 
surjectivity (onto) ${\rm im \ }f = Y$; denoted $f:X\rightarrow\kern-.82em\rightarrow Y$
bijectivity (both) injectivity and surjectivity

We shall use sometimes the following common abbreviations:


uniqueness of image    $\mathbb{N} ,\mathbb{Z} , \mathbb{Q} , \mathbb{R} , \mathbb{C} $
Natural, integer, rational, real, complex numbers.

$x \in V$ x is a member of set V.
$x\notin V$ x is not a memberof set V.
$\exists\, x \in V$ There exists at least onemember x in V.
$\forall\, x \in V$ For all members ofV.
$W \subseteq V$ W is a subset of set V: so$(\forall\, x \in W) \ x \in V$.
$\{ x \in V \mid p(x) \}$ The set of members of V satisfying property p.
$\emptyset$ The empty set.
$f:V \to W$ f is a map or functionfrom V to W.
$f: x \mapsto f(x)$ f sends a typicalelement x to f(x).
${\rm dom \ }f$ Domain of f: the set $\{ x \mid\exists\, f (x) \}$.
$ {\rm im \ }f$ Image of f: the set $\{ f(x) \mid x\in {\rm dom \ }f \}$.
fU for $U \subseteq {\rm dom \ }f$ Image of Uby f: the set $\{ f(x) \mid x \in U\}$.
$f^\leftarrow M$ for $M\subseteq {\rm im \ }f$ Inverse image of M by f: the set $\{ x \mid f(x) \in M\}$.
1X Identity map on x: the map given by 1X (x) = x forall $x\in X$.
$U \cap V$ Intersection of U and V: the set $\{ x\mid x \in U \mbox{ and } x \in V\}$.
$U \cup V$ Union ofU and V: the set $ \{ x \mid x \in U \mbox{ or } x \in V \mbox{ or both}\}$.
$V \setminus U$ Complement of U in V: the set $\{ x \in V\mid x \notin U \}$.
$f \circ g$ Composite of maps: applyg then f.
$\sum_{i=1}^n x_i$ Sum $x_1 + x_2 + \cdots +x_n $.
$\prod_{i=1}^n x_i$ Product $x_1 x_2 \cdots x_n$.
$\Rightarrow $ Implies, then.
$\Leftrightarrow$ Implies both ways, if and only if.
$a\times b$ Vector cross product of two vectors.
$a\cdot b$ Scalar product of two vectors.
||a|| Norm, $\sqrt{a\cdot a},$ of a vector.


next up previous
Next: Euclidean Space Up: Introducing Curves Previous: Introducing Curves
Kit Dodson
2000-01-23