4. Proof of monotonicity

Lemma 4.1.

For all γ∈𝕁\gamma\in\mathbb{J} and all x,y∈𝕌x,y\in\mathbb{U} with x>y>ℝx>y>\mathbb{R}, we have:

  1. (1)
    ​

    if γ∘x−γ∘y⪯1\gamma\circ x-\gamma\circ y\preceq 1, then γ∘x−γ∘yx−y⪯γ′∘y\frac{\gamma\circ x-\gamma\circ y}{x-y}\preceq\gamma^{\prime}\circ y,

  2. (2)
    ​

    if γ∘x−γ∘y⪰1\gamma\circ x-\gamma\circ y\succeq 1, then (γ′∘y)⁢(x−y)⪰1(\gamma^{\prime}\circ y)(x-y)\succeq 1.

Proof.

Fix xx, yy as in the assumptions. Let γ∈𝕁\gamma\in\mathbb{J}. We shall prove the conclusion by induction on ER⁢(γ)\mathrm{ER}(\gamma).

When γ\gamma is log∘n⁡(T)\log^{\circ n}(T) for some nn, both conclusions hold because log∘n\log^{\circ n} is concave: 0<log∘n⁡(a)−log∘n⁡(b)a−b≤(log∘n)′⁢(b)0<\frac{\log^{\circ n}(a)-\log^{\circ n}(b)}{a-b}\leq(\log^{\circ n})^{\prime}% (b) for any bb in its domain and a>ba>b, and so also for x>y>ℝx>y>\mathbb{R}. The conclusion is trivial for γ=0\gamma=0.

Now assume ER⁢(γ)>0\mathrm{ER}(\gamma)>0 and let r⁢eδre^{\delta} be the leading term of γ\gamma. Recall that δ∈𝕁>0\delta\in\mathbb{J}^{>0} and that ER⁢(δ)<ER⁢(γ)\mathrm{ER}(\delta)<\mathrm{ER}(\gamma). By Proposition 3.2, we have

γ∘x−γ∘y∼r⁢(eδ∘x−eδ∘y)=r⁢eδ∘y⁢(eδ∘x−δ∘y−1),\gamma\circ x-\gamma\circ y\sim r(e^{\delta\circ x}-e^{\delta\circ y})=re^{% \delta\circ y}(e^{\delta\circ x-\delta\circ y}-1),

which we rewrite as

γ∘x−γ∘yx−y∼r⁢eδ∘y⁢eδ∘x−δ∘y−1x−y.\frac{\gamma\circ x-\gamma\circ y}{x-y}\sim re^{\delta\circ y}\frac{e^{\delta% \circ x-\delta\circ y}-1}{x-y}.

Recall moreover that since γ∼r⁢eδ\gamma\sim re^{\delta} and γ≭1\gamma\not\asymp 1, we have γ′∼r⁢eδ⁢δ′\gamma^{\prime}\sim re^{\delta}\delta^{\prime}, so in particular γ′∘y∼r⁢eδ∘y⁢(δ′∘y)\gamma^{\prime}\circ y\sim re^{\delta\circ y}(\delta^{\prime}\circ y).

We distinguish two cases. If δ∘x−δ∘y≺1\delta\circ x-\delta\circ y\prec 1, then we can use the Taylor expansion of exp\exp to check that

eδ∘x−δ∘y−1x−y∼δ∘x−δ∘yx−y⪯δ′∘y,\frac{e^{\delta\circ x-\delta\circ y}-1}{x-y}\sim\frac{\delta\circ x-\delta% \circ y}{x-y}\preceq\delta^{\prime}\circ y,

where the second inequality follows from the inductive hypothesis (1). Therefore,

γ∘y−γ∘yx−y∼r⁢eδ∘y⁢eδ∘x−δ∘y−1x−y⪯r⁢eδ∘y⁢(δ′∘y)∼γ′∘y.\frac{\gamma\circ y-\gamma\circ y}{x-y}\sim re^{\delta\circ y}\frac{e^{\delta% \circ x-\delta\circ y}-1}{x-y}\preceq re^{\delta\circ y}(\delta^{\prime}\circ y% )\sim\gamma^{\prime}\circ y.

Both conclusions follow trivially.

Now suppose that δ∘x−δ∘y⪰1\delta\circ x-\delta\circ y\succeq 1. Note in particular that γ∘x−γ∘y≻1\gamma\circ x-\gamma\circ y\succ 1, because eδ∘y≻1e^{\delta\circ y}\succ 1 and eδ∘x−δ∘y−1⪰1e^{\delta\circ x-\delta\circ y}-1\succeq 1, so we only need to prove conclusion (2). By inductive hypothesis (2), (δ′∘y)⁢(x−y)⪰1(\delta^{\prime}\circ y)(x-y)\succeq 1, which with eδ∘y≻1e^{\delta\circ y}\succ 1 yields (2):

(γ′∘y)⁢(x−y)∼r⁢eδ∘y⁢(δ′∘y)⁢(x−y)≻1.∎(\gamma^{\prime}\circ y)(x-y)\sim re^{\delta\circ y}(\delta^{\prime}\circ y)(x% -y)\succ 1.\qed
Corollary 4.2.

For all γ∈𝕁<0\gamma\in\mathbb{J}^{<0} and all x,y∈𝕌x,y\in\mathbb{U} with x>y>ℝx>y>\mathbb{R}, we have

eγ∘x−eγ∘yx−y⪯eγ∘y⁢(γ′∘y)=(eγ)′∘y.\frac{e^{\gamma\circ x}-e^{\gamma\circ y}}{x-y}\preceq e^{\gamma\circ y}(% \gamma^{\prime}\circ y)=(e^{\gamma})^{\prime}\circ y.
Proof.

Write

eγ∘x−eγ∘y=eγ∘y⁢(eγ∘x−γ∘y−1).e^{\gamma\circ x}-e^{\gamma\circ y}=e^{\gamma\circ y}(e^{\gamma\circ x-\gamma% \circ y}-1).

If γ∘x−γ∘y≺1\gamma\circ x-\gamma\circ y\prec 1, then using Lemma 4.1(1)

eγ∘y⁢(eγ∘x−γ∘y−1)∼eγ∘y⁢(γ∘x−γ∘y)⪯eγ∘y⁢(γ′∘y)⁢(x−y).e^{\gamma\circ y}(e^{\gamma\circ x-\gamma\circ y}-1)\sim e^{\gamma\circ y}(% \gamma\circ x-\gamma\circ y)\preceq e^{\gamma\circ y}(\gamma^{\prime}\circ y)(% x-y).

Otherwise, eγ∘x−γ∘y≁1e^{\gamma\circ x-\gamma\circ y}\not\sim 1, and since γ∘x<γ∘y\gamma\circ x<\gamma\circ y by Proposition 3.1 applied to −γ-\gamma, we have eγ∘x−γ∘y⪯1e^{\gamma\circ x-\gamma\circ y}\preceq 1, thus

eγ∘y⁢(eγ∘x−γ∘y−1)≍eγ∘y⪯eγ∘y⁢(γ′∘y)⁢(x−y),e^{\gamma\circ y}(e^{\gamma\circ x-\gamma\circ y}-1)\asymp e^{\gamma\circ y}% \preceq e^{\gamma\circ y}(\gamma^{\prime}\circ y)(x-y),

where the last inequality follows from Lemma 4.1(2). ∎

Proof of Theorem A.

Let x,y∈𝕌x,y\in\mathbb{U} with x>y>ℝx>y>\mathbb{R} and f∈ℝ⁢⟨⟨T⟩⟩f\in\mathbb{R}\langle\!\langle T\rangle\!\rangle. Trivially, when f′=0f^{\prime}=0, we have f=r∈ℝf=r\in\mathbb{R}, so r∘x=r∘y=rr\circ x=r\circ y=r, as desired. We now assume that f′>0f^{\prime}>0, and we want to prove f∘x>f∘yf\circ x>f\circ y. The case f′<0f^{\prime}<0 will follow trivially by replacing ff with −f-f.

Case f=T+εf=T+\varepsilon with ε≺T\varepsilon\prec T. Note that in this case f′∼1f^{\prime}\sim 1, so f′>0f^{\prime}>0. We claim that ε∘x−ε∘y≺x−y\varepsilon\circ x-\varepsilon\circ y\prec x-y, and so f∘x−f∘y∼x−yf\circ x-f\circ y\sim x-y, which clearly implies f∘x>f∘yf\circ x>f\circ y.

Suppose that eγe^{\gamma} is a monomial in the support of ε\varepsilon. We claim that eγ∘x−eγ∘y≺x−ye^{\gamma\circ x}-e^{\gamma\circ y}\prec x-y. This is trivial for γ=0\gamma=0, and an immediate consequence of Proposition 3.2 for γ>0\gamma>0. For γ<0\gamma<0, we have 1≻(eγ)′1\succ(e^{\gamma})^{\prime}, so 1≻(eγ)′∘y1\succ(e^{\gamma})^{\prime}\circ y, hence by Corollary 4.2

eγ∘x−eγ∘y⪯eγ∘y⁢(γ′∘y)⁢(x−y)=((eγ)′∘y)⁢(x−y)≺x−y.e^{\gamma\circ x}-e^{\gamma\circ y}\preceq e^{\gamma\circ y}(\gamma^{\prime}% \circ y)(x-y)=((e^{\gamma})^{\prime}\circ y)(x-y)\prec x-y.

Taking the sum over all terms in ε\varepsilon, we find that ε∘x−ε∘y≺x−y\varepsilon\circ x-\varepsilon\circ y\prec x-y.

Case f>ℝf>\mathbb{R}. Recall that ℝ⁢⟨⟨T⟩⟩\mathbb{R}\langle\!\langle T\rangle\!\rangle is confluent, because for any g∈ℝ⁢⟨⟨T⟩⟩>ℝg\in\mathbb{R}\langle\!\langle T\rangle\!\rangle^{>\mathbb{R}}, the leading monomials along the sequence (log∘n⁡(g):n∈ℕ)(\log^{\circ n}(g):n\in\mathbb{N}) must have decreasing exponential rank, until one reaches log∘k⁡(T)\log^{\circ k}(T) for some kk. Pick n∈ℕn\in\mathbb{N} such that log∘n⁡(T)∘f=log∘n⁡(f)=log∘k⁡(T)+ε\log^{\circ n}(T)\circ f=\log^{\circ n}(f)=\log^{\circ k}(T)+\varepsilon for some k∈ℕk\in\mathbb{N} and some ε≺log∘k⁡(T)\varepsilon\prec\log^{\circ k}(T). Note that

log∘n⁡(T)∘f∘exp∘k⁡(T)=T+ε¯\log^{\circ n}(T)\circ f\circ\exp^{\circ k}(T)=T+\overline{\varepsilon}

where ε¯=ε∘exp∘k⁡(T)≺log∘k⁡(T)∘exp∘k⁡(T)=T\overline{\varepsilon}=\varepsilon\circ\exp^{\circ k}(T)\prec\log^{\circ k}(T)% \circ\exp^{\circ k}(T)=T. By the previous case, the function x↦x+(ε¯∘x)x\mapsto x+(\overline{\varepsilon}\circ x) is strictly increasing. Since the functions log\log and exp\exp are also strictly increasing on 𝕌>ℝ\mathbb{U}^{>\mathbb{R}}, then so is the function x↦f∘xx\mapsto f\circ x.

Case f≯ℝf\not>\mathbb{R}. Since by assumption f′>0f^{\prime}>0, we cannot have f<ℝf<\mathbb{R}, so there must be some r∈ℝr\in\mathbb{R} such that f−r≺1f-r\prec 1, and moreover f−r<0f-r<0. It follows that g=−1f−r>ℝg=-\frac{1}{f-r}>\mathbb{R}. By the previous case, the function x↦g∘xx\mapsto g\circ x is strictly increasing, thus so is the function

x↦−1g∘x+r=f∘x.∎x\mapsto-\frac{1}{g\circ x}+r=f\circ x.\qed
Corollary 4.3.

For all f,g∈ℝ⁢⟨⟨T⟩⟩f,g\in\mathbb{R}\langle\!\langle T\rangle\!\rangle with 1≭f≻g1\not\asymp f\succ g and all x,y∈𝕌x,y\in\mathbb{U} with x>y>ℝx>y>\mathbb{R}, we have

f∘x−f∘y≻g∘x−g∘y.f\circ x-f\circ y\succ g\circ x-g\circ y.
Proof.

Up to replacing ff with −f-f, we may assume that f′>0f^{\prime}>0. Since f≭1f\not\asymp 1, we have f′≻g′f^{\prime}\succ g^{\prime}, thus f′−r⁢g′=(f−r⁢g)′>0f^{\prime}-rg^{\prime}=(f-rg)^{\prime}>0 for every r∈ℝr\in\mathbb{R}. By Theorem A,

(f−r⁢g)∘x>(f−r⁢g)∘y,hencef∘x−f∘y>r⁢(g∘x−g∘y).(f-rg)\circ x>(f-rg)\circ y,\quad\text{hence}\quad f\circ x-f\circ y>r(g\circ x% -g\circ y).

Moreover, f∘x−f∘y>0f\circ x-f\circ y>0, and the conclusion follows. ∎

Corollary 4.4.

For all f,g∈ℝ⁢⟨⟨T⟩⟩f,g\in\mathbb{R}\langle\!\langle T\rangle\!\rangle with 1≭f∼g1\not\asymp f\sim g and all x,y∈𝕌x,y\in\mathbb{U} with x>y>ℝx>y>\mathbb{R}, we have

f∘x−f∘y∼g∘x−g∘y.f\circ x-f\circ y\sim g\circ x-g\circ y.
Proof.

Apply Corollary 4.3 to ff and f−g≺ff-g\prec f. ∎

Proof of Corollary B.

Fix f∈ℝ⁢⟨⟨T⟩⟩f\in\mathbb{R}\langle\!\langle T\rangle\!\rangle, x,y∈𝕌>ℝx,y\in\mathbb{U}^{>\mathbb{R}}, w∈𝕌w\in\mathbb{U} such that f∘x≤w≤f∘yf\circ x\leq w\leq f\circ y. Note that the case f∈ℝf\in\mathbb{R} is trivial, so assume f∉ℝf\notin\mathbb{R}. There is z∈𝕌>ℝz\in\mathbb{U}^{>\mathbb{R}} such that f∘z=wf\circ z=w: when f>ℝf>\mathbb{R}, just take z=finv∘wz=f^{\mathrm{inv}}\circ w, where finv∈ℝ⁢⟨⟨T⟩⟩>ℝf^{\mathrm{inv}}\in\mathbb{R}\langle\!\langle T\rangle\!\rangle^{>\mathbb{R}} is the compositional inverse of ff ([6]); otherwise, replace ff with ±1f−r>ℝ\pm\frac{1}{f-r}>\mathbb{R} just as in the proof of Theorem A, and reduce to f>ℝf>\mathbb{R}. By Theorem A, zz has to be between xx and yy. ∎