Mapping is the process of assigning each element from a set, known as the **domain**, to an element in another set, called the **codomain**. In functional terms, these sets are \(\mathrm{A}\) and \(\mathrm{B}\) respectively. A mapping must assign, or "map," each element \(x\) from the domain \(\mathrm{A}\) to exactly one element \(y\) in the codomain \(\mathrm{B}\).
The idea of mapping is related to drawing arrows from each element in \(\mathrm{A}\) pointing to an element in \(\mathrm{B}\). The mapping \(\Phi: \mathrm{A} \rightarrow \mathrm{C}\) confirms that this one-to-one association holds even when the elements of \(\mathrm{A}\) are mapped into a subset of \(\mathrm{B}\), which is \(\mathrm{C}\) here, the image set.
- A proper mapping ensures every element of the domain is paired with a single, specific element of the codomain.
- Mapping can show relationships and transformations from one mathematical space to another.
Accurately understanding the mapping strategy between sets helps in analyzing function-related problems better.