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Two-sided Mills bounds for the standard normal tail
Statement
Let and for . Then for every and consequently, for every , Both bounds are sharp as in the sense that the ratio of each side to tends to .
Facts & Assumptions
Given: AC, AC, DC, and a real .
is the strictly positive, Borel measurable standard normal density, with , and is the probability measure . Standard normal and normal laws The standard normal density has total mass one
On a compact interval every function is Lipschitz, hence absolutely continuous and of bounded variation; in particular and are absolutely continuous on for . implies Lipschitz, Lipschitz implies absolutely continuous, and absolutely continuous implies continuous and bounded variation
Integration by parts for absolutely continuous functions: , under AC and DC. Integration by parts for absolutely continuous functions The Axiom of Countable Choice () The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain
Substitution computes , and monotone convergence justifies passing to the limit in the integrals of the nonnegative functions and over . Substitution: if is differentiable on with integrable and is continuous on an interval containing , then Monotone convergence for the integral
AC is the ambient assumption; AC and DC are the hypotheses of the integration-by-parts interface used in [F3]. The Axiom of Choice The Axiom of Countable Choice () The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain
Proof
For one has ; integrating over and letting with [F4] gives , and [F4] computes , so .
For , [F2] and [F3] applied to and on , together with , give .
Letting in [step 1.2] with [F4] gives , and since on one gets , that is, and hence .
The algebraic comparison for is equivalent to , which holds; combining it with [step 2.1] gives the displayed form for , and the ratio claim follows because and while the upper bound already is .
The endpoint and degenerate cases are covered: is required so that and the integration interval are meaningful and is on it; is excluded by the statement because the upper bound would divide by zero, while is finite; the limit is handled by monotone convergence over the increasing family ; the constants AC and DC are those declared for [F3] and are used nowhere else; and AC enters only through [F5].
Source notes
Durrett, Lemma 1.2.6 and the estimates (8.5.2) in the proof of Theorem 8.5.1, states the two-sided bound for (up to the normalization constant), together with the asymptotic ratio used in the law of the iterated logarithm. The proof above derives the stronger lower bound from the identity obtained by integrating by parts, which is the form consumed by the LIL item.
Depends on
- Standard normal and normal laws
- The standard normal density has total mass one
- $C^1$ implies Lipschitz, Lipschitz implies absolutely continuous, and absolutely continuous implies continuous and bounded variation
- Integration by parts for absolutely continuous functions
- Substitution: if $\varphi$ is differentiable on $[c,d]$ with $\varphi'$ integrable and $f$ is continuous on an interval containing $\varphi([c,d])$, then $\int_{\varphi(c)}^{\varphi(d)} f = \int_c^d (f\circ\varphi)\,\varphi'$
- Monotone convergence for the integral
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- The Axiom of Choice
Used by
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