Is there a way to maximize this probability by taking the derivative of the cumulative normal distribution function?

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I'm self-studying Brownian motion and encountered the following problem.

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I understand the author's solution, and it is clear why maximizing the right-hand side of the inequality provides such $t$ that maximizes $A(t) < -1$.

My question is, if we want to maximize $$N\left(\frac{-1 - 0.4t}{\sqrt{0.36}t}\right),$$ could we not set

$$N'\left(\frac{-1 - 0.4t}{\sqrt{0.36}t}\right) = 0,$$

giving us $$\frac{e^{-x^2/2}}{\sqrt{2\pi}} = 0,$$

where $x = \frac{-1 - 0.4t}{\sqrt{0.36}t}$ ?

However, trying to solve for $t$ would appear to be taking the natural log of 0, which is impossible.

What am I overlooking here?