Great question and I know exactly what book you’re referring to. My answer is that if you want it to be linear then those two inequalities quoted in the text that you pasted in need to become equalities.
What does that imply? That taking the partial derivative of V(x) with respect to x when evaluated at x would have to be equal to the same when evaluated at ax.
Let’s think of some examples. Assume for a moment the derivative of the potential would simply be equal to x, the easiest of the potential polynomial representations. Well when you plug in X and aX they clearly wouldn’t be equal. So any polynomial wouldn’t work for V’. You can quickly surmise that other functions wouldn’t work either such as transcendental functions. As a result, the only ones that would work are those where the derivative would be a constant. In this way, evaluating it at different parameters changes nothing and it’s simply always the same constant so the equality would hold.
However the second condition regarding an operator on two solutions being the sum of the operator on each solution, where the operator in this case is V’, would also have to hold for linearity. And summing up a constant over two observations would never be equal to V’ evaluated once at the sum of the input parameters, it would always just lead to doubling, UNLESS the constant were zero.
In my opinion you would therefore need a potential that is constant so that the derivative of the potential, V’, is zero. Only in those cases would linearity be met in other words, both of the two inequalities would become equalities.
I hope this is helpful and I’m sorry if there are a lot of typos. I’m doing this all via dictation on my iPhone.