A connected space has no expression as the union of two disjoint nonempty open subsets. A continuous surjection to the two-point discrete space would pull back its singleton sets to such a separation. Conversely, a separation defines a continuous surjection by taking the values on and on . Thus these two conditions are equivalent, including for the empty space.
If a subset contains but omits some between them, its intersections with and separate it. Hence every nonempty connected subset is an interval. Conversely, let an interval have a separation and choose in its opposite sides. Restrict the associated two-valued continuous function to and regard it as a real-valued function. The intermediate value theorem forces the value , a contradiction. Singletons and the empty set are connected directly.
For the union assertion, let be continuous. Each restriction is constant because is connected. Since every pair of the intersects, these constants agree, so is constant on . There is no continuous surjection, and is connected. The empty indexing case gives and is harmless.
To apply this to the plane, for each take the union of the horizontal line at height with the vertical axis. Its two lines are connected and intersect; all such unions share the vertical axis and cover . Thus the plane is connected. For the punctured plane, take, for every , the circle of radius together with the positive horizontal ray. The circle is the continuous image of , and intersects that connected ray. These unions share the ray and cover , so the punctured plane is connected too. Translation gives the same conclusion after removing any one point.
Finally, suppose were a continuous injection. Its image is a connected interval with at least three points. Choose an interior point of and its unique preimage . The restriction of to is a continuous surjection onto . Its domain is connected, whereas its image is separated by the two half-lines on either side of . This contradicts preservation of connectedness under continuous images. Therefore no continuous injection of the plane into the line exists.
A metric space is sequentially compact if every sequence has a convergent subsequence whose limit belongs to the space. A limit point of is a point for which every open ball about contains a point of other than .
Let lie in a compact metric space. If one value occurs infinitely often, take a constant subsequence. Otherwise its set of values is infinite. If had no limit point, every point of the space would have a neighborhood containing at most one member of . A finite subcover of these neighborhoods would force finite, a contradiction. Thus has a limit point; the stated subsequence result supplies a convergent subsequence. This proves sequential compactness.
Assume now that is nonempty, as is necessary for the requested minimum and fixed point. The function is continuous, as a composition of with the metric. The extreme value theorem on a compact space implies that attains its infimum, say at . If , strict decrease of distances gives
contradicting minimality. Thus . If were distinct fixed points, then , another contradiction. Hence there is exactly one fixed point. This is the fixed point theorem for a strictly distance-decreasing map on a compact metric space.
Compactness is essential. On , take
Here , so there is no fixed point. Nevertheless everywhere, and the mean value theorem gives for distinct . There is no uniform Lipschitz constant less than , since as .

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