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On $\{0,1{\}}^{\mathbb{N}}$ this sum is a metric, since each summand obeys the triangle inequality and a zero sum forces coordinatewise equality. A prefix cylinder set fixing the first $n$ coordinates contains the open ball of radius $2^{-n}$ about each of its points and has diameter at most $2^{-n}$. These bounds show that the metric topology equals the prefix cylinder set topology, the usual Cantor space topology.

A weighted Hamilton cycle is a Hamilton cycle in a weighted graph, with cost equal to the sum of its traversed edge weights. Here weights represent symmetric nonnegative costs, rather than conductances. Asking whether a Hamilton cycle exists is a feasibility question; asking for the cheapest one is an instance of the travelling salesman problem. A complete graph supplies every possible connection between distinct vertices, making feasibility automatic for $n\ge 3$, while choosing the cheapest visiting order remains a separate mathematical optimization problem.

Assign the complete graph $K_4$ the symmetric edge costs $w_{AB}=2$, $w_{BC}=3$, $w_{CD}=4$, $w_{AD}=5$, $w_{AC}=6$ and $w_{BD}=7$, in arbitrary units. Fix the start at $A$ and identify each Hamilton cycle with its reverse. The three possibilities areThese exhaust the possibilities: the permutations of the other three vertices give $3!=6$ orders, paired into three reversals. Hence the perimeter tour really is optimal for this toy instance. The diagram's geometric lengths are not costs, and no triangle inequality is assumed.

The usefulness of this model is to distinguish visiting required sites from covering required connections. If tasks are assigned to vertices and the route must return after one visit to each, a weighted Hamilton cycle captures the ordering requirement. If the job instead requires each edge once, the relevant object is an Euler circuit. The shortest path problem asks only for a cheapest route between specified endpoints. A 1954 primary research paper gave a concrete motivation for the travelling salesman problem: certify that a particular tour through 49 cities has minimum road-distance cost.^[ref]

These are abstract route models. If a cost stands for a whole graph path through an underlying network, travelling between consecutive task vertices can pass through intermediate network vertices more than once. One visit per task therefore does not imply one visit per physical junction. One-way connections require a directed graph; changing costs or extra timing constraints require a richer model than the fixed symmetric toy instance.

The word metric measures how many allowed moves are needed to change one group element into another. For a finite symmetric generating set of a group $S$ with $1\notin S$, it is the graph distance between vertices of the Cayley graph, equivalentlyHere word length counts letters in a shortest representative of $g^{-1}h$. The path metric on the entire Cayley graph also permits points inside edges; the word metric is its restriction to the group itself.^[ref]

The word metric is left invariant:This corresponds to the label-preserving group action on the Cayley graph. Symmetry follows by reversing a shortest graph path; concatenating routes gives the triangle inequality.^[ref]

Right invariance can fail in a non-abelian group, because right multiplication replaces $g^{-1}h$ by $a^{-1}{g}^{-1}ha$ through conjugation. In the free group $F(x,y)$ with $S=\{x,x^{-1},y,y^{-1}\}$, we have $d_S(1,y)=1$, whereas $d_S(x,yx)=|x^{-1}yx{|}_S=3$: the latter freely reduced word has three letters. In an abelian group, conjugation fixes each element, so right invariance does hold. Cayley graphs of the integers and word metric balls in the integer lattice give examples where the word metric can be calculated explicitly.