The 'canonical' way of thinking about it is in terms of the hypercube graph, which is defined in the following way:
- The dimension-0 hypercube graph is... just a single vertex.
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- The dimension-1 hypercube graph is two vertices connected by a single edge. ⋅-⋅
- The dimension-2 hypercube graph is four vertices, connected in a square pattern: ⋅-⋅
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⋅-⋅
- The dimension-3 hypercube graph is the graph representing a cube!- The dimension-4 hypercube graph is the graph which takes a cube, makes a copy, and then connects the corresponding vertices.
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- The dimension-n hypercube graph is the graph which takes a dimension-(n-1) hypercube graph, makes a copy, and connects the corresponding vertices.
Ok, so let's play a game (for now, think about the 3-dimensional cube graph as a concrete example): if you could color the vertices of the cube red or green, what is the largest number of red (or green) vertices you can find such that no two of the same color are adjacent to each other? Note that the 3D hypercube has 2³=8 vertices, and, more generally, the nD hypercube has 2ⁿ vertices, so you have a lot of vertices to color :)
So, it turns out (and I will give it to you as an exercise!) that you can color 2ⁿ⁻¹ vertices of the cube with two colors without any vertices of a single color being adjacent to each other, but, if you try changing the color of any one vertex then at least one of the colors will have (at least) √n neighbors that are the same color! (It may be worth reading this once or twice :)
This is the sensitivity conjecture! The fact that changing any one color would immediately imply that now you have at least √n neighbors that are all of the same color. (This is a slightly funky restatement of it, the usual one is in terms of subgraphs or boolean functions, but one is easily mapped to the other.)
It turns out a lot of important problems (in things like voting systems, for example) can be reduced to proving this conjecture, which gives a rather neat set of results "for free" when proving it, and why it's been such an interesting object for the past uhh, quite a few years in computer science :)