Factor model eigenvalue inequality

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I do not understand how the inequality in Example 2.1 in this paper is derived.

I do not understand the point in having:

$$-\lambda_{max}(\Sigma_u)$$

in the lower bound.

Using Weyl's inequality can we not get something better like: $$\lambda_{max}(\Sigma) > Var(f_t) b^Tb + \lambda_{min}(\Sigma_u)$$