The triangular inequality in a metric space (E, d) is
d(x, y) ≤ d(x, z) + d(z, y)
In mathematics, particularly in real analysis and topology, a metric space is a set where a concept of distance between elements of the set is defined. This distance is given by a function called a metric or distance function.
A set $E$ equipped with a function $d: E \times E \to \mathbb{R}$ is called a metric space $(E, d)$ if for all $x, y, z \in E$, the function $d$ satisfies the following properties (axioms of a metric):
The fourth property listed above is the triangular inequality. It is a fundamental axiom of a metric space. This property formalizes the intuitive idea that the shortest distance between two points is a straight line. If you want to go from point $x$ to point $y$, taking a detour through a third point $z$ will always result in a distance that is greater than or equal to the direct distance from $x$ to $y$.
Mathematically, the triangular inequality states that for any three points $x, y, z$ in the metric space $(E, d)$, the distance between $x$ and $y$, denoted by $d(x, y)$, is less than or equal to the sum of the distance between $x$ and $z$, $d(x, z)$, and the distance between $z$ and $y$, $d(z, y)$.
So, the correct mathematical expression for the triangular inequality for a distance function $d$ in a metric space is:
$\qquad d(x, y) \le d(x, z) + d(z, y)$
Let's look at the provided options and compare them to the definition of the triangular inequality:
Based on the definition of a metric space and its axioms, the third option correctly represents the triangular inequality property of the distance function $d$.
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