TheoremBase

Gross's method. Reduce to G with delta <= G <= K by |P_t F| <= P_t|F|, truncation min(F,L) with monotone convergence, and a shift by delta. For such G, frf_r = PrP_r G lies in FCb2FC^2_b for r > 0 with d/dr frf_r = LaL^a frf_r. With Q(r) = 1+(p-1)exp(2r/kappa), Lambda(r) = log||f_r||_{Q(r)} is continuous on [0,inf), and differentiation under the integral, integration by parts and g = fQ/2f^{Q/2} give Lambda' = (Q' Ent(g2)Ent(g^2) - 4(Q-1) int |grad_a g|_a^2)/(Q2Q^2 Psi) <= 0 by the log-Sobolev inequality. Mean value theorem, then Holder for q <= Q(t).

Proof

Each result cited is universally quantified over the data in its own statement.

Throughout, for real r≥0r\ge0 we use from The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §cylindrical that PrP_{r} maps FCpol(X)\mathcal{F}C_{\mathrm{pol}}(X) into itself, is linear on it, maps each constant function to itself, and that P0F=FP_{0}F=F; and from The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §class that every function in FCpol(X)\mathcal{F}C_{\mathrm{pol}}(X) is Borel and lies in Lr′(γc)L^{r'}(\gamma_{c}) for every real r′≥1r'\ge1, and that FCpol(X)\mathcal{F}C_{\mathrm{pol}}(X) contains the constants and is closed under sums and real multiples. For real r′≥1r'\ge1 and a Borel u∈Lr′(γc)u\in L^{r'}(\gamma_{c}), ∥u∥r′=(∫X∣u∣r′ dγc)1/r′\lVert u\rVert_{r'}=(\int_{X}|u|^{r'}\,d\gamma_{c})^{1/r'} by The Lebesgue Space of Power-Integrable Functions §norm and Power-Integrable Functions and the p-Seminorm §seminorm. Real powers sβ=exp⁡(βlog⁡s)s^{\beta}=\exp(\beta\log s) of positive ss are those of Real Power of a Positive Real Number; for positive exponents they agree with the powers of Real Power of a Nonnegative Real Number §power, whose properties are those of Properties of Real Powers of Nonnegative Real Numbers. We use freely that exp⁡\exp is positive and strictly increasing with exp⁡(u+v)=exp⁡(u)exp⁡(v)\exp(u+v)=\exp(u)\exp(v) and exp⁡(−u)=1/exp⁡(u)\exp(-u)=1/\exp(u) (Basic Properties of the Exponential Function), hence log⁡\log is strictly increasing on (0,∞)(0,\infty), and that log⁡(st)=log⁡s+log⁡t\log(st)=\log s+\log t and log⁡′(s)=1/s\log'(s)=1/s (The Natural Logarithm); in particular sβsβ′=sβ+β′s^{\beta}s^{\beta'}=s^{\beta+\beta'}, (sβ)2=s2β(s^{\beta})^{2}=s^{2\beta} and log⁡(sβ)=βlog⁡s\log(s^{\beta})=\beta\log s for s>0s>0. The function x↦1+∣x∣x\mapsto1+|x| is continuous, hence Borel by claim 3 of Borel Measurability and Bounded Integration on a Metric Space, and it is integrable with respect to γc\gamma_{c}: 0≤1+∣x∣≤2+∣x∣20\le1+|x|\le2+|x|^{2}, so by Linearity and Monotonicity of the Lebesgue Integral §nonnegative, claim 6 of Borel Measurability and Bounded Integration on a Metric Space (for the constant 22, γc\gamma_{c} being a probability measure) and Moments of a Diagonal Gaussian Measure on a Hilbert Space: Coordinate Covariances, Finite Second Moment, and Exponential Moments of the Squared Norm §moment, ∫X(1+∣x∣) γc(dx)≤∫X(2+∣x∣2) γc(dx)=2+M2(γc)<∞\int_{X}(1+|x|)\,\gamma_{c}(dx)\le\int_{X}(2+|x|^{2})\,\gamma_{c}(dx)=2+M_{2}(\gamma_{c})<\infty, with the second moment M2M_{2} of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §moment, and Integrable Function and the Lebesgue Integral applies. Consequently every Borel u:X→Ru:X\to\mathbb{R} with ∣u(x)∣≤b(1+∣x∣)|u(x)|\le b(1+|x|) for all xx and some real b≥0b\ge0 is integrable with respect to γc\gamma_{c}, by the same two results.

Step 1 (Order). If F,G∈FCpol(X)F,G\in\mathcal{F}C_{\mathrm{pol}}(X) satisfy F(x)≤G(x)F(x)\le G(x) for every x∈Xx\in X, then PrF(x)≤PrG(x)P_{r}F(x)\le P_{r}G(x) for all x∈Xx\in X and real r≥0r\ge0: indeed G−F∈FCpol(X)G-F\in\mathcal{F}C_{\mathrm{pol}}(X) is nonnegative, so PrG−PrF=Pr(G−F)≥0P_{r}G-P_{r}F=P_{r}(G-F)\ge0 by linearity and The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §positivity.

Step 2 (Three facts on bounded C2C^{2} cylindrical functions). Let H∈FCb2(X)H\in\mathcal{F}C^{2}_{b}(X), with H=h∘pnH=h\circ p_{n} for some n∈Nn\in\mathbb{N} and h∈Cb2(Rn)h\in C^{2}_{b}(\mathbb{R}^{n}), as in Bounded C^2 Cylindrical Functions on a Hilbert Space with an Orthonormal Basis §cylindrical. By The Ornstein-Uhlenbeck Operator with Noise Weights on Bounded C^2 Cylindrical Functions §second-derivatives, H∈FCb1(X)H\in\mathcal{F}C^{1}_{b}(X) with representation (n,h)(n,h), and for k≤nk\le n, ∂kh∈Cb1(Rn)\partial_{k}h\in C^{1}_{b}(\mathbb{R}^{n}), ∂kH=(∂kh)∘pn∈FCb1(X)\partial_{k}H=(\partial_{k}h)\circ p_{n}\in\mathcal{F}C^{1}_{b}(X), and ∂k∂kH=(∂k∂kh)∘pn\partial_{k}\partial_{k}H=(\partial_{k}\partial_{k}h)\circ p_{n} by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §partial.

(a) LaHL^{a}H has a representation of growth exponent 11. By The Ornstein-Uhlenbeck Operator with Noise Weights on Bounded C^2 Cylindrical Functions §operator, LaH=ℓ∘pnL^{a}H=\ell\circ p_{n} with ℓ(y)=∑k=1nak(∂k∂kh(y)−yk ∂kh(y)/ck)\ell(y)=\sum_{k=1}^{n}a_{k}(\partial_{k}\partial_{k}h(y)-y_{k}\,\partial_{k}h(y)/c_{k}), since xkx_{k} is the kk-th component of pn(x)p_{n}(x). The functions ∂kh\partial_{k}h and ∂k∂kh\partial_{k}\partial_{k}h are continuous by clauses 1 and 2 of C^k Maps on a Euclidean Open Set, and y↦yky\mapsto y_{k} is continuous since ∣yk−yk′∣≤∥y−y′∥|y_{k}-y'_{k}|\le\lVert y-y'\rVert by Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n §square; so ℓ\ell is continuous by Continuity of Sums and Products of Real-Valued Functions on a Metric Space §on-set. With C≥0C\ge0 bounding ∣∂kh∣|\partial_{k}h| and ∣∂k∂kh∣|\partial_{k}\partial_{k}h| for k≤nk\le n (Bounded Twice Continuously Differentiable Functions with Bounded First and Second Partial Derivatives on Euclidean Space §bounded) and ∣yk∣≤∥y∥|y_{k}|\le\lVert y\rVert, we get ∣ℓ(y)∣≤B1(1+∥y∥)|\ell(y)|\le B_{1}(1+\lVert y\rVert) with B1=C∑k=1nak(1+ck−1)B_{1}=C\sum_{k=1}^{n}a_{k}(1+c_{k}^{-1}), so (n,ℓ,B1,1)(n,\ell,B_{1},1) is a representation of LaH∈FCpol(X)L^{a}H\in\mathcal{F}C_{\mathrm{pol}}(X) (Continuous Cylindrical Functions of Polynomial Growth on a Hilbert Space §class). Consequently, by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §cylindrical, there is a real B′≥0B'\ge0 with ∣Pr(LaH)(x)∣≤B′(1+∥pn(x)∥)≤B′(1+∣x∣)|P_{r}(L^{a}H)(x)|\le B'(1+\lVert p_{n}(x)\rVert)\le B'(1+|x|) for all real r≥0r\ge0 and x∈Xx\in X, using ∥pn(x)∥≤∣x∣\lVert p_{n}(x)\rVert\le|x|: by Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n §square, ∥pn(x)∥2=∑k=1nxk2≤∑k=1∞xk2≤∣x∣2\lVert p_{n}(x)\rVert^{2}=\sum_{k=1}^{n}x_{k}^{2}\le\sum_{k=1}^{\infty}x_{k}^{2}\le|x|^{2} by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §dominates and Orthonormal Expansions in a Real Hilbert Space §bessel, and square roots preserve this by claim 5 of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities.

(b) Powers. Suppose δ≤H(x)≤K\delta\le H(x)\le K for all x∈Xx\in X, with reals 0<δ≤K0<\delta\le K, and let β∈R\beta\in\mathbb{R}; write HβH^{\beta} for x↦H(x)βx\mapsto H(x)^{\beta}. Then Hβ∈FCb1(X)H^{\beta}\in\mathcal{F}C^{1}_{b}(X) with representation (n,w∘h)(n,w\circ h), where w(s)=sβw(s)=s^{\beta} on (0,∞)(0,\infty), and ∂k(Hβ)=βHβ−1∂kH\partial_{k}(H^{\beta})=\beta H^{\beta-1}\partial_{k}H for every k∈Nk\in\mathbb{N}. Indeed, for y∈Rny\in\mathbb{R}^{n} the vector z=pn∗(y)=∑k=1nykekz=p_{n}^{*}(y)=\sum_{k=1}^{n}y_{k}e_{k}, with the synthesis map pn∗p_{n}^{*} of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, has pn(z)=yp_{n}(z)=y, by linearity of the inner product and orthonormality of (ek)(e_{k}) (Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §space), so h(y)=H(z)∈[δ,K]h(y)=H(z)\in[\delta,K]. By Chain Rule for One-Dimensional Derivatives, ww is differentiable at every s>0s>0 with w′(s)=exp⁡(βlog⁡s) β/s=βsβ−1w'(s)=\exp(\beta\log s)\,\beta/s=\beta s^{\beta-1}; so ww and likewise w′w' (a multiple of s↦sβ−1s\mapsto s^{\beta-1}) are continuous on (0,∞)(0,\infty) by Differentiability at an Interior Point Implies Continuity There. For y∈Rny\in\mathbb{R}^{n} and k≤nk\le n, the map σ↦h(y1,…,yk+σ,…,yn)\sigma\mapsto h(y_{1},\dots,y_{k}+\sigma,\dots,y_{n}) is differentiable at σ=0\sigma=0 with derivative ∂kh(y)\partial_{k}h(y) by Partial Derivative on a Euclidean Open Set, so by Chain Rule for One-Dimensional Derivatives the partial derivative ∂k(w∘h)(y)\partial_{k}(w\circ h)(y) exists and equals w′(h(y)) ∂kh(y)=βh(y)β−1∂kh(y)w'(h(y))\,\partial_{k}h(y)=\beta h(y)^{\beta-1}\partial_{k}h(y). The functions w∘hw\circ h and (w′∘h) ∂kh(w'\circ h)\,\partial_{k}h are continuous, by Continuity Between Metric Spaces is Equivalent to Sequential Continuity §on-subset for the composites and Continuity of Sums and Products of Real-Valued Functions on a Metric Space §on-set for the product, so w∘hw\circ h is of class C1C^{1} on Rn\mathbb{R}^{n} by clauses 1 and 3 of C^k Maps on a Euclidean Open Set. Since hh takes values in [δ,K][\delta,K] and βlog⁡s\beta\log s lies between βlog⁡δ\beta\log\delta and βlog⁡K\beta\log K for s∈[δ,K]s\in[\delta,K], the function w∘hw\circ h is bounded by max⁡(δβ,Kβ)\max(\delta^{\beta},K^{\beta}), and ∣∂k(w∘h)∣≤∣β∣max⁡(δβ−1,Kβ−1) C|\partial_{k}(w\circ h)|\le|\beta|\max(\delta^{\beta-1},K^{\beta-1})\,C, with CC as in (a); so w∘h∈Cb1(Rn)w\circ h\in C^{1}_{b}(\mathbb{R}^{n}) (Bounded Continuously Differentiable Functions with Bounded Partial Derivatives on Euclidean Space §bounded) and Hβ=(w∘h)∘pn∈FCb1(X)H^{\beta}=(w\circ h)\circ p_{n}\in\mathcal{F}C^{1}_{b}(X) (Bounded C^1 Cylindrical Functions on a Hilbert Space with an Orthonormal Basis §cylindrical). By Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §partial, applied to the representations (n,w∘h)(n,w\circ h) and (n,h)(n,h), ∂k(Hβ)=βHβ−1∂kH\partial_{k}(H^{\beta})=\beta H^{\beta-1}\partial_{k}H for k≤nk\le n, and both sides vanish for k>nk>n.

(c) Integration by parts. For every φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X), the function φ LaH\varphi\,L^{a}H is integrable with respect to γc\gamma_{c} and

∫Xφ LaH dγc=−∑k=1nak∫X∂kH ∂kφ dγc.(1)\int_{X}\varphi\,L^{a}H\,d\gamma_{c}=-\sum_{k=1}^{n}a_{k}\int_{X}\partial_{k}H\,\partial_{k}\varphi\,d\gamma_{c}.\tag{1}

Indeed, let k≤nk\le n. By Gaussian Integration by Parts for Products of Cylindrical Functions, and Closability of the Noise Gradient in the Gaussian Lebesgue Space §ibp, applied with ∂kH∈FCb1(X)\partial_{k}H\in\mathcal{F}C^{1}_{b}(X) in place of FF, the functions ∂k∂kH φ\partial_{k}\partial_{k}H\,\varphi and ∂kH (xkφ/ck−∂kφ)\partial_{k}H\,(x_{k}\varphi/c_{k}-\partial_{k}\varphi) are integrable and ∫∂k∂kH φ dγc=∫∂kH (xkφ/ck−∂kφ) dγc\int\partial_{k}\partial_{k}H\,\varphi\,d\gamma_{c}=\int\partial_{k}H\,(x_{k}\varphi/c_{k}-\partial_{k}\varphi)\,d\gamma_{c}. The function ∂kH ∂kφ\partial_{k}H\,\partial_{k}\varphi is Borel and bounded by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §bounded-borel and Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, hence integrable by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space; so x↦xk ∂kH(x) φ(x)/ckx\mapsto x_{k}\,\partial_{k}H(x)\,\varphi(x)/c_{k}, the sum of the last two functions, is integrable, and by Linearity and Monotonicity of the Lebesgue Integral §integrable, ∫φ (∂k∂kH−xk∂kH/ck) dγc=−∫∂kH ∂kφ dγc\int\varphi\,(\partial_{k}\partial_{k}H-x_{k}\partial_{k}H/c_{k})\,d\gamma_{c}=-\int\partial_{k}H\,\partial_{k}\varphi\,d\gamma_{c}. Multiplying by aka_{k}, summing over k≤nk\le n and using The Ornstein-Uhlenbeck Operator with Noise Weights on Bounded C^2 Cylindrical Functions §operator gives (1).

Step 3 (The case t=0t=0). If t=0t=0, then q−1≤exp⁡(0)(p−1)=p−1q-1\le\exp(0)(p-1)=p-1, so q=pq=p, and ∥P0F∥q=∥F∥p\lVert P_{0}F\rVert_{q}=\lVert F\rVert_{p} since P0F=FP_{0}F=F. From now on t>0t>0.

Step 4 (Main estimate). Let G∈FCpol(X)G\in\mathcal{F}C_{\mathrm{pol}}(X) and reals 0<δ≤K0<\delta\le K satisfy δ≤G(x)≤K\delta\le G(x)\le K for every x∈Xx\in X. We show ∥PtG∥q≤∥G∥p\lVert P_{t}G\rVert_{q}\le\lVert G\rVert_{p}.

(i) The functions frf_{r}. For real r≥0r\ge0 put fr=PrGf_{r}=P_{r}G. By Step 1, applied to δ≤G≤K\delta\le G\le K, and since PrP_{r} fixes constants, δ≤fr(x)≤K\delta\le f_{r}(x)\le K for all xx. By The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §continuity, r↦fr(x)r\mapsto f_{r}(x) is continuous on [0,∞)[0,\infty) for each xx. For r>0r>0, fr∈FCb2(X)f_{r}\in\mathcal{F}C^{2}_{b}(X) by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §smoothing, GG being bounded. Let 0<u<r0<u<r and Hu=fu∈FCb2(X)H_{u}=f_{u}\in\mathcal{F}C^{2}_{b}(X); then fr=Pr−uHuf_{r}=P_{r-u}H_{u} by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §semigroup, so The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §generator, applied to HuH_{u} at the positive time r−ur-u, gives Lafr=Pr−u(LaHu)L^{a}f_{r}=P_{r-u}(L^{a}H_{u}) and, the limit there being taken over all real nonzero increments of absolute value less than r−ur-u, among others,

r↦fr(x) is differentiable at every r>0 with derivative Lafr(x),∣Lafr(x)∣≤Bu′(1+∣x∣)  (r>u),(2)r\mapsto f_{r}(x)\ \text{is differentiable at every }r>0\ \text{with derivative}\ L^{a}f_{r}(x),\qquad |L^{a}f_{r}(x)|\le B'_{u}(1+|x|)\ \ (r>u),\tag{2}

where Bu′B'_{u} is the number of Step 2(a) for H=HuH=H_{u}.

(ii) The functions QQ, Ψ\Psi, Λ\Lambda. Put Q(r)=1+(p−1)exp⁡(2r/κ)Q(r)=1+(p-1)\exp(2r/\kappa) for real rr; then Q(0)=pQ(0)=p, QQ is strictly increasing with Q(r)≥p>1Q(r)\ge p>1 for r≥0r\ge0, and by Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, QQ is differentiable with Q′(r)=2κ(p−1)exp⁡(2r/κ)=2κ(Q(r)−1)>0Q'(r)=\frac{2}{\kappa}(p-1)\exp(2r/\kappa)=\frac{2}{\kappa}(Q(r)-1)>0. For real r≥0r\ge0 the function x↦fr(x)Q(r)=∣fr(x)∣Q(r)x\mapsto f_{r}(x)^{Q(r)}=|f_{r}(x)|^{Q(r)} is Borel by Power-Integrable Functions and the p-Seminorm §measurable-power and takes values in [δQ(r),KQ(r)][\delta^{Q(r)},K^{Q(r)}], so it is integrable by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space; put

Ψ(r)=∫XfrQ(r) dγc∈[δQ(r),KQ(r)],Λ(r)=log⁡Ψ(r)Q(r).\Psi(r)=\int_{X}f_{r}^{Q(r)}\,d\gamma_{c}\in[\delta^{Q(r)},K^{Q(r)}],\qquad\Lambda(r)=\frac{\log\Psi(r)}{Q(r)} .

By Power-Integrable Functions and the p-Seminorm §seminorm and Real Power of a Nonnegative Real Number §power, ∥fr∥Q(r)=Ψ(r)1/Q(r)=exp⁡(Λ(r))\lVert f_{r}\rVert_{Q(r)}=\Psi(r)^{1/Q(r)}=\exp(\Lambda(r)). Put K∗=max⁡(K,1)K_{*}=\max(K,1); for 0≤r≤T0\le r\le T we have frQ(r)≤exp⁡(Q(r)log⁡K∗)≤K∗Q(T)f_{r}^{Q(r)}\le\exp(Q(r)\log K_{*})\le K_{*}^{Q(T)}, as log⁡K∗≥0\log K_{*}\ge0.

(iii) Continuity. Let r0≥0r_{0}\ge0 and let (rj)j∈N(r_{j})_{j\in\mathbb{N}} be a sequence in [0,∞)[0,\infty) converging to r0r_{0}; discarding finitely many terms, rj≤T0=r0+1r_{j}\le T_{0}=r_{0}+1. For each xx, frj(x)→fr0(x)f_{r_{j}}(x)\to f_{r_{0}}(x) by (i) and Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential, and Q(rj)→Q(r0)Q(r_{j})\to Q(r_{0}), QQ being continuous by Differentiability at an Interior Point Implies Continuity There; since log⁡\log and exp⁡\exp are continuous (Differentiability at an Interior Point Implies Continuity There), frj(x)Q(rj)=exp⁡(Q(rj)log⁡frj(x))→fr0(x)Q(r0)f_{r_{j}}(x)^{Q(r_{j})}=\exp(Q(r_{j})\log f_{r_{j}}(x))\to f_{r_{0}}(x)^{Q(r_{0})}. These functions are bounded by the constant K∗Q(T0)K_{*}^{Q(T_{0})}, which is integrable by claim 6(a) of Borel Measurability and Bounded Integration on a Metric Space, so Dominated Convergence Theorem gives Ψ(rj)→Ψ(r0)\Psi(r_{j})\to\Psi(r_{0}). By Continuity Between Metric Spaces is Equivalent to Sequential Continuity §criterion, Ψ\Psi is continuous on [0,∞)[0,\infty); as Ψ>0\Psi>0, Q>0Q>0, and log⁡\log is continuous, Λ\Lambda is continuous on [0,∞)[0,\infty) by Continuity Between Metric Spaces is Equivalent to Sequential Continuity §on-subset.

(iv) Differentiability. Let r0>0r_{0}>0, put u=r0/2u=r_{0}/2, T=2r0T=2r_{0} and U=(u,T)U=(u,T). For r∈Ur\in U and x∈Xx\in X put Θ(r,x)=fr(x)Q(r)=exp⁡(Q(r)log⁡fr(x))\Theta(r,x)=f_{r}(x)^{Q(r)}=\exp(Q(r)\log f_{r}(x)). By (2), Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, r↦Θ(r,x)r\mapsto\Theta(r,x) is differentiable at every r∈Ur\in U with

D1Θ(r,x)=fr(x)Q(r)(Q′(r)log⁡fr(x)+Q(r) Lafr(x)fr(x)).D_{1}\Theta(r,x)=f_{r}(x)^{Q(r)}\Bigl(Q'(r)\log f_{r}(x)+Q(r)\,\frac{L^{a}f_{r}(x)}{f_{r}(x)}\Bigr).

With λ=max⁡(∣log⁡δ∣,∣log⁡K∣)≥∣log⁡fr(x)∣\lambda=\max(|\log\delta|,|\log K|)\ge|\log f_{r}(x)|, (2) and (ii) give, for r∈Ur\in U, ∣D1Θ(r,x)∣≤K∗Q(T)(Q′(T)λ+Q(T)Bu′(1+∣x∣)/δ)|D_{1}\Theta(r,x)|\le K_{*}^{Q(T)}\bigl(Q'(T)\lambda+Q(T)B'_{u}(1+|x|)/\delta\bigr), a continuous function of xx of the form b(1+∣x∣)b(1+|x|) with a real b≥0b\ge0, hence integrable by the preamble. By (ii), x↦Θ(r,x)x\mapsto\Theta(r,x) is integrable for each r∈Ur\in U. So Differentiation under the Integral Sign shows that x↦D1Θ(r0,x)x\mapsto D_{1}\Theta(r_{0},x) is measurable and integrable and that the restriction of Ψ\Psi to UU is differentiable at r0r_{0} with derivative ∫XD1Θ(r0,x) γc(dx)\int_{X}D_{1}\Theta(r_{0},x)\,\gamma_{c}(dx), and by Differentiability at an Interior Point is a Local Property so is Ψ\Psi itself. Write f=fr0f=f_{r_{0}}, Q0=Q(r0)Q_{0}=Q(r_{0}) and Q0′=Q′(r0)Q_{0}'=Q'(r_{0}); since fQ0/f=fQ0−1f^{Q_{0}}/f=f^{Q_{0}-1}, D1Θ(r0,x)=Q0′f(x)Q0log⁡f(x)+Q0f(x)Q0−1Laf(x)D_{1}\Theta(r_{0},x)=Q_{0}'f(x)^{Q_{0}}\log f(x)+Q_{0}f(x)^{Q_{0}-1}L^{a}f(x). The function fQ0−1Laff^{Q_{0}-1}L^{a}f is Borel and integrable: f∈FCb2(X)f\in\mathcal{F}C^{2}_{b}(X) by (i), with δ≤f≤K\delta\le f\le K, so fQ0−1∈FCb1(X)f^{Q_{0}-1}\in\mathcal{F}C^{1}_{b}(X) by Step 2(b) (with H=fH=f and β=Q0−1\beta=Q_{0}-1) and is Borel by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §bounded-borel, with 0<fQ0−1≤K∗Q0−10<f^{Q_{0}-1}\le K_{*}^{Q_{0}-1} because Q0−1>0Q_{0}-1>0 and f≤K∗f\le K_{*} (Properties of Real Powers of Nonnegative Real Numbers §monotone); Laf∈FCpol(X)L^{a}f\in\mathcal{F}C_{\mathrm{pol}}(X) by Step 2(a) (with H=fH=f), hence is Borel by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §class, and ∣Laf(x)∣≤Bu′(1+∣x∣)|L^{a}f(x)|\le B'_{u}(1+|x|) by (2); so the product is Borel by Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, is bounded in absolute value by K∗Q0−1Bu′(1+∣x∣)K_{*}^{Q_{0}-1}B'_{u}(1+|x|), and is integrable by the preamble. As Q0′>0Q_{0}'>0, the function fQ0log⁡f=(D1Θ(r0,⋅)−Q0fQ0−1Laf)/Q0′f^{Q_{0}}\log f=\bigl(D_{1}\Theta(r_{0},\cdot)-Q_{0}f^{Q_{0}-1}L^{a}f\bigr)/Q_{0}' is integrable, and the linearity of Linearity and Monotonicity of the Lebesgue Integral §integrable gives

Ψ′(r0)=Q0′∫XfQ0log⁡f dγc+Q0∫XfQ0−1Laf dγc.(3)\Psi'(r_{0})=Q_{0}'\int_{X}f^{Q_{0}}\log f\,d\gamma_{c}+Q_{0}\int_{X}f^{Q_{0}-1}L^{a}f\,d\gamma_{c}.\tag{3}

(v) Rewriting the derivative. The function f∈FCb2(X)f\in\mathcal{F}C^{2}_{b}(X) has a representation f=h∘pnf=h\circ p_{n} with h∈Cb2(Rn)h\in C^{2}_{b}(\mathbb{R}^{n}) and satisfies δ≤f≤K\delta\le f\le K. By Step 2(b), φ=fQ0−1\varphi=f^{Q_{0}-1} and g=fQ0/2g=f^{Q_{0}/2} lie in FCb1(X)\mathcal{F}C^{1}_{b}(X) with representations of length nn, ∂kφ=(Q0−1)fQ0−2∂kf\partial_{k}\varphi=(Q_{0}-1)f^{Q_{0}-2}\partial_{k}f and ∂kg=Q02fQ0/2−1∂kf\partial_{k}g=\frac{Q_{0}}{2}f^{Q_{0}/2-1}\partial_{k}f. By (1) with H=fH=f, the linearity of the integral, and The Noise Gradient of a Cylindrical Function and the Noise Tangent Space at a Probability Measure on a Hilbert Space §gradient, which gives ∣∇ag∣a2=∑k=1nak(∂kg)2=Q024fQ0−2∑k=1nak(∂kf)2|\nabla_{a}g|_{a}^{2}=\sum_{k=1}^{n}a_{k}(\partial_{k}g)^{2}=\frac{Q_{0}^{2}}{4}f^{Q_{0}-2}\sum_{k=1}^{n}a_{k}(\partial_{k}f)^{2},

Q02∫XfQ0−1Laf dγc=−Q02(Q0−1)∫XfQ0−2∑k=1nak(∂kf)2 dγc=−4(Q0−1)∫X∣∇ag∣a2 dγc.Q_{0}^{2}\int_{X}f^{Q_{0}-1}L^{a}f\,d\gamma_{c}=-Q_{0}^{2}(Q_{0}-1)\int_{X}f^{Q_{0}-2}\sum_{k=1}^{n}a_{k}(\partial_{k}f)^{2}\,d\gamma_{c}=-4(Q_{0}-1)\int_{X}|\nabla_{a}g|_{a}^{2}\,d\gamma_{c}.

Moreover g2=fQ0g^{2}=f^{Q_{0}} and, with ϕ\phi the function of The Function slog⁡ss\log s: Continuity, Young's Inequality and Lower Bounds, with the Elementary Bounds for the Exponential and the Logarithm, ϕ(g2)=fQ0log⁡(fQ0)=Q0 fQ0log⁡f\phi(g^{2})=f^{Q_{0}}\log(f^{Q_{0}})=Q_{0}\,f^{Q_{0}}\log f; also ∫Xg2 dγc=Ψ(r0)>0\int_{X}g^{2}\,d\gamma_{c}=\Psi(r_{0})>0, so ϕ(∫Xg2 dγc)=Ψ(r0)log⁡Ψ(r0)\phi(\int_{X}g^{2}\,d\gamma_{c})=\Psi(r_{0})\log\Psi(r_{0}). Hence, by (3) and the definition of the entropy in The Entropy of a Nonnegative Function with Respect to a Probability Measure §entropy (whose hypotheses hold by The Gaussian Log-Sobolev, HWI and Poincare Inequalities in the Noise Geometry, in Entropy Form and in Gross's Functional Form §gross),

Q0 Ψ′(r0)−Q0′ Ψ(r0)log⁡Ψ(r0)=Q0′Ent⁡γc(g2)−4(Q0−1)∫X∣∇ag∣a2 dγc.Q_{0}\,\Psi'(r_{0})-Q_{0}'\,\Psi(r_{0})\log\Psi(r_{0})=Q_{0}'\operatorname{Ent}_{\gamma_{c}}(g^{2})-4(Q_{0}-1)\int_{X}|\nabla_{a}g|_{a}^{2}\,d\gamma_{c}.

Since 1/Q(r)=exp⁡(−log⁡Q(r))1/Q(r)=\exp(-\log Q(r)), Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives show that Λ\Lambda is differentiable at r0r_{0} with

Λ′(r0)=Ψ′(r0)Q0 Ψ(r0)−Q0′log⁡Ψ(r0)Q02=1Q02Ψ(r0)(Q0′Ent⁡γc(g2)−4(Q0−1)∫X∣∇ag∣a2 dγc).\Lambda'(r_{0})=\frac{\Psi'(r_{0})}{Q_{0}\,\Psi(r_{0})}-\frac{Q_{0}'\log\Psi(r_{0})}{Q_{0}^{2}}=\frac{1}{Q_{0}^{2}\Psi(r_{0})}\Bigl(Q_{0}'\operatorname{Ent}_{\gamma_{c}}(g^{2})-4(Q_{0}-1)\int_{X}|\nabla_{a}g|_{a}^{2}\,d\gamma_{c}\Bigr).

By The Gaussian Log-Sobolev, HWI and Poincare Inequalities in the Noise Geometry, in Entropy Form and in Gross's Functional Form §gross, applied with the present κ\kappa, Ent⁡γc(g2)≤2κ∫X∣∇ag∣a2 dγc\operatorname{Ent}_{\gamma_{c}}(g^{2})\le2\kappa\int_{X}|\nabla_{a}g|_{a}^{2}\,d\gamma_{c}; as Q0′=2(Q0−1)/κ>0Q_{0}'=2(Q_{0}-1)/\kappa>0, we get Q0′Ent⁡γc(g2)≤4(Q0−1)∫X∣∇ag∣a2 dγcQ_{0}'\operatorname{Ent}_{\gamma_{c}}(g^{2})\le4(Q_{0}-1)\int_{X}|\nabla_{a}g|_{a}^{2}\,d\gamma_{c}, hence Λ′(r0)≤0\Lambda'(r_{0})\le0.

(vi) Conclusion. By (iii) the restriction of Λ\Lambda to [0,t][0,t] is continuous, and by (iv)-(v) it is differentiable at every point of (0,t)(0,t) with nonpositive derivative: each such point is an interior point of both [0,∞)[0,\infty) and [0,t][0,t], and the difference quotients of the restriction at it are among those of Λ\Lambda, so the condition of differentiability satisfied by Λ\Lambda there, with the same derivative, holds for the restriction. By Mean Value Theorem on a Closed Real Interval there is ξ∈(0,t)\xi\in(0,t) with Λ(t)−Λ(0)=t Λ′(ξ)≤0\Lambda(t)-\Lambda(0)=t\,\Lambda'(\xi)\le0. Since Q(0)=pQ(0)=p and f0=Gf_{0}=G, this gives ∥PtG∥Q(t)=exp⁡(Λ(t))≤exp⁡(Λ(0))=∥G∥p\lVert P_{t}G\rVert_{Q(t)}=\exp(\Lambda(t))\le\exp(\Lambda(0))=\lVert G\rVert_{p}. Finally q≤Q(t)q\le Q(t), because q−1≤exp⁡(2t/κ)(p−1)=Q(t)−1q-1\le\exp(2t/\kappa)(p-1)=Q(t)-1. If q<Q(t)q<Q(t), put ρ1=Q(t)/q\rho_{1}=Q(t)/q and ρ2=Q(t)/(Q(t)−q)\rho_{2}=Q(t)/(Q(t)-q), conjugate exponents since 1/ρ1+1/ρ2=11/\rho_{1}+1/\rho_{2}=1 and ρ1>1\rho_{1}>1. By Elementary Properties of the p-Seminorm §rescaling (with r=qr=q, s=ρ1s=\rho_{1}), ∣PtG∣q|P_{t}G|^{q} is ρ1\rho_{1}-integrable with ∥ ∣PtG∣q∥ρ1=∥PtG∥Q(t)q\lVert\,|P_{t}G|^{q}\rVert_{\rho_{1}}=\lVert P_{t}G\rVert_{Q(t)}^{q}, and the constant 11 has ∥1∥ρ2=1\lVert1\rVert_{\rho_{2}}=1; so Hoelder's Inequality, for Two and for Finitely Many Factors §holder gives ∫X∣PtG∣q dγc≤∥PtG∥Q(t)q\int_{X}|P_{t}G|^{q}\,d\gamma_{c}\le\lVert P_{t}G\rVert_{Q(t)}^{q}, and taking powers 1/q1/q (Properties of Real Powers of Nonnegative Real Numbers §monotone, Properties of Real Powers of Nonnegative Real Numbers §inverse) yields ∥PtG∥q≤∥PtG∥Q(t)\lVert P_{t}G\rVert_{q}\le\lVert P_{t}G\rVert_{Q(t)}, which holds trivially if q=Q(t)q=Q(t). Hence ∥PtG∥q≤∥G∥p\lVert P_{t}G\rVert_{q}\le\lVert G\rVert_{p}.

Step 5 (Bounded nonnegative functions). Let F∈FCpol(X)F\in\mathcal{F}C_{\mathrm{pol}}(X) with 0≤F(x)≤L0\le F(x)\le L for all xx, and let δ>0\delta>0. Then G=F+δ∈FCpol(X)G=F+\delta\in\mathcal{F}C_{\mathrm{pol}}(X) satisfies δ≤G≤L+δ\delta\le G\le L+\delta, so ∥PtG∥q≤∥G∥p\lVert P_{t}G\rVert_{q}\le\lVert G\rVert_{p} by Step 4. Now PtG=PtF+δP_{t}G=P_{t}F+\delta and PtF≥0P_{t}F\ge0 by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §positivity, so 0≤PtF≤PtG0\le P_{t}F\le P_{t}G and ∥PtF∥q≤∥PtG∥q\lVert P_{t}F\rVert_{q}\le\lVert P_{t}G\rVert_{q} by Elementary Properties of the p-Seminorm §comparison. By Minkowski's Inequality and the Seminormed Space of Power-Integrable Functions §minkowski, ∥G∥p≤∥F∥p+∥δ∥p=∥F∥p+δ\lVert G\rVert_{p}\le\lVert F\rVert_{p}+\lVert\delta\rVert_{p}=\lVert F\rVert_{p}+\delta, as ∫Xδp dγc=δp\int_{X}\delta^{p}\,d\gamma_{c}=\delta^{p} and (δp)1/p=δ(\delta^{p})^{1/p}=\delta by Properties of Real Powers of Nonnegative Real Numbers §inverse. So ∥PtF∥q≤∥F∥p+δ\lVert P_{t}F\rVert_{q}\le\lVert F\rVert_{p}+\delta for every δ>0\delta>0, whence ∥PtF∥q≤∥F∥p\lVert P_{t}F\rVert_{q}\le\lVert F\rVert_{p}.

Step 6 (Nonnegative functions). Let F∈FCpol(X)F\in\mathcal{F}C_{\mathrm{pol}}(X) be nonnegative, with representation (n,ψ,B,q0)(n,\psi,B,q_{0}). For L∈NL\in\mathbb{N} let FL=min⁡(F,L)=min⁡(ψ,L)∘pnF_{L}=\min(F,L)=\min(\psi,L)\circ p_{n}. The function min⁡(ψ,L)\min(\psi,L) is continuous by Continuity of the Absolute Value, Maximum and Minimum of Real-Valued Functions on a Metric Space and Continuity of Sums and Products of Real-Valued Functions on a Metric Space §constants, and ∣min⁡(ψ(y),L)∣≤∣ψ(y)∣+L≤(B+L)(1+∥y∥q0)|\min(\psi(y),L)|\le|\psi(y)|+L\le(B+L)(1+\lVert y\rVert^{q_{0}}); so FL∈FCpol(X)F_{L}\in\mathcal{F}C_{\mathrm{pol}}(X) with 0≤FL≤L0\le F_{L}\le L, FL≤FL+1≤FF_{L}\le F_{L+1}\le F. By Step 5 and Elementary Properties of the p-Seminorm §comparison, ∥PtFL∥q≤∥FL∥p≤∥F∥p\lVert P_{t}F_{L}\rVert_{q}\le\lVert F_{L}\rVert_{p}\le\lVert F\rVert_{p}. For x∈Xx\in X, PtFL(x)=∫XFL(Mt(x,y)) γc(dy)P_{t}F_{L}(x)=\int_{X}F_{L}(M_{t}(x,y))\,\gamma_{c}(dy) by The Mehler Maps and the Mehler Semigroup with Noise Weights on Continuous Cylindrical Functions of Polynomial Growth §semigroup; the integrands are nonnegative, nondecreasing in LL, and equal to F(Mt(x,y))F(M_{t}(x,y)) as soon as L≥F(Mt(x,y))L\ge F(M_{t}(x,y)), so Monotone Convergence Theorem shows that the nondecreasing sequence (PtFL(x))L(P_{t}F_{L}(x))_{L} converges to PtF(x)P_{t}F(x). Hence, by Properties of Real Powers of Nonnegative Real Numbers §monotone and Properties of Real Powers of Nonnegative Real Numbers §continuity, (PtFL(x)q)L(P_{t}F_{L}(x)^{q})_{L} is nondecreasing with limit, hence supremum, PtF(x)qP_{t}F(x)^{q}, where PtF≥PtFL≥0P_{t}F\ge P_{t}F_{L}\ge0 by Step 1 and The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §positivity. By Monotone Convergence Theorem and Elementary Properties of the p-Seminorm §power,

∫X(PtF)q dγc=sup⁡L∫X(PtFL)q dγc=sup⁡L∥PtFL∥qq≤∥F∥pq,\int_{X}(P_{t}F)^{q}\,d\gamma_{c}=\sup_{L}\int_{X}(P_{t}F_{L})^{q}\,d\gamma_{c}=\sup_{L}\lVert P_{t}F_{L}\rVert_{q}^{q}\le\lVert F\rVert_{p}^{q},

using Properties of Real Powers of Nonnegative Real Numbers §monotone; taking powers 1/q1/q (Properties of Real Powers of Nonnegative Real Numbers §inverse) gives ∥PtF∥q≤∥F∥p\lVert P_{t}F\rVert_{q}\le\lVert F\rVert_{p}.

Step 7 (General functions). Let F∈FCpol(X)F\in\mathcal{F}C_{\mathrm{pol}}(X) with representation (n,ψ,B,q0)(n,\psi,B,q_{0}). Then ∣F∣=∣ψ∣∘pn|F|=|\psi|\circ p_{n} with ∣ψ∣|\psi| continuous by Continuity of the Absolute Value, Maximum and Minimum of Real-Valued Functions on a Metric Space and ∣ψ∣(y)=∣ψ(y)∣≤B(1+∥y∥q0)|\psi|(y)=|\psi(y)|\le B(1+\lVert y\rVert^{q_{0}}), so ∣F∣∈FCpol(X)|F|\in\mathcal{F}C_{\mathrm{pol}}(X). Step 1 applied to −∣F∣≤F≤∣F∣-|F|\le F\le|F|, with Pt(−∣F∣)=−Pt∣F∣P_{t}(-|F|)=-P_{t}|F|, gives ∣PtF∣≤Pt∣F∣|P_{t}F|\le P_{t}|F| pointwise. By Elementary Properties of the p-Seminorm §comparison and Step 6, ∥PtF∥q≤∥Pt∣F∣∥q≤∥ ∣F∣ ∥p=∥F∥p\lVert P_{t}F\rVert_{q}\le\lVert P_{t}|F|\rVert_{q}\le\lVert\,|F|\,\rVert_{p}=\lVert F\rVert_{p}, the last equality because ∣F∣|F| and FF have the same absolute value. Together with Step 3 this proves the claim.

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