Each result cited is universally quantified over the data in its own statement.
Throughout, for real r≥0 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 Pr maps FCpol(X) into itself, is linear on it, maps each constant function to itself, and that P0F=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) is Borel and lies in Lr′(γc) for every real r′≥1, and that FCpol(X) contains the constants and is closed under sums and real multiples. For real r′≥1 and a Borel u∈Lr′(γc), ∥u∥r′=(∫X∣u∣r′dγc)1/r′ by The Lebesgue Space of Power-Integrable Functions §norm and Power-Integrable Functions and the p-Seminorm §seminorm. Real powers sβ=exp(βlogs) of positive s 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 is positive and strictly increasing with exp(u+v)=exp(u)exp(v) and exp(−u)=1/exp(u) (Basic Properties of the Exponential Function), hence log is strictly increasing on (0,∞), and that log(st)=logs+logt and log′(s)=1/s (The Natural Logarithm); in particular sβsβ′=sβ+β′, (sβ)2=s2β and log(sβ)=βlogs for s>0. The function x↦1+∣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: 0≤1+∣x∣≤2+∣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 2, γc 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)<∞, with the second moment M2 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→R with ∣u(x)∣≤b(1+∣x∣) for all x and some real b≥0 is integrable with respect to γc, by the same two results.
Step 1 (Order). If F,G∈FCpol(X) satisfy F(x)≤G(x) for every x∈X, then PrF(x)≤PrG(x) for all x∈X and real r≥0: indeed G−F∈FCpol(X) is nonnegative, so PrG−PrF=Pr(G−F)≥0 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 C2 cylindrical functions). Let H∈FCb2(X), with H=h∘pn for some n∈N and h∈Cb2(Rn), 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) with representation (n,h), and for k≤n, ∂kh∈Cb1(Rn), ∂kH=(∂kh)∘pn∈FCb1(X), and ∂k∂kH=(∂k∂kh)∘pn 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) LaH has a representation of growth exponent 1. By The Ornstein-Uhlenbeck Operator with Noise Weights on Bounded C^2 Cylindrical Functions §operator, LaH=ℓ∘pn with ℓ(y)=∑k=1nak(∂k∂kh(y)−yk∂kh(y)/ck), since xk is the k-th component of pn(x). The functions ∂kh and ∂k∂kh are continuous by clauses 1 and 2 of C^k Maps on a Euclidean Open Set, and y↦yk is continuous since ∣yk−yk′∣≤∥y−y′∥ by Elementary Properties of the Euclidean Norm on Rn §square; so ℓ is continuous by Continuity of Sums and Products of Real-Valued Functions on a Metric Space §on-set. With C≥0 bounding ∣∂kh∣ and ∣∂k∂kh∣ for k≤n (Bounded Twice Continuously Differentiable Functions with Bounded First and Second Partial Derivatives on Euclidean Space §bounded) and ∣yk∣≤∥y∥, we get ∣ℓ(y)∣≤B1(1+∥y∥) with B1=C∑k=1nak(1+ck−1), so (n,ℓ,B1,1) is a representation of LaH∈FCpol(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′≥0 with ∣Pr(LaH)(x)∣≤B′(1+∥pn(x)∥)≤B′(1+∣x∣) for all real r≥0 and x∈X, using ∥pn(x)∥≤∣x∣: by Elementary Properties of the Euclidean Norm on Rn §square, ∥pn(x)∥2=∑k=1nxk2≤∑k=1∞xk2≤∣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 for all x∈X, with reals 0<δ≤K, and let β∈R; write Hβ for x↦H(x)β. Then Hβ∈FCb1(X) with representation (n,w∘h), where w(s)=sβ on (0,∞), and ∂k(Hβ)=βHβ−1∂kH for every k∈N. Indeed, for y∈Rn the vector z=pn∗(y)=∑k=1nykek, with the synthesis map pn∗ of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, has pn(z)=y, by linearity of the inner product and orthonormality of (ek) (Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §space), so h(y)=H(z)∈[δ,K]. By Chain Rule for One-Dimensional Derivatives, w is differentiable at every s>0 with w′(s)=exp(βlogs)β/s=βsβ−1; so w and likewise w′ (a multiple of s↦sβ−1) are continuous on (0,∞) by Differentiability at an Interior Point Implies Continuity There. For y∈Rn and k≤n, the map σ↦h(y1,…,yk+σ,…,yn) is differentiable at σ=0 with derivative ∂kh(y) by Partial Derivative on a Euclidean Open Set, so by Chain Rule for One-Dimensional Derivatives the partial derivative ∂k(w∘h)(y) exists and equals w′(h(y))∂kh(y)=βh(y)β−1∂kh(y). The functions w∘h and (w′∘h)∂kh 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∘h is of class C1 on Rn by clauses 1 and 3 of C^k Maps on a Euclidean Open Set. Since h takes values in [δ,K] and βlogs lies between βlogδ and βlogK for s∈[δ,K], the function w∘h is bounded by max(δβ,Kβ), and ∣∂k(w∘h)∣≤∣β∣max(δβ−1,Kβ−1)C, with C as in (a); so w∘h∈Cb1(Rn) (Bounded Continuously Differentiable Functions with Bounded Partial Derivatives on Euclidean Space §bounded) and Hβ=(w∘h)∘pn∈FCb1(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) and (n,h), ∂k(Hβ)=βHβ−1∂kH for k≤n, and both sides vanish for k>n.
(c) Integration by parts. For every φ∈FCb1(X), the function φLaH is integrable with respect to γc and
∫XφLaHdγc=−k=1∑nak∫X∂kH∂kφdγc.(1)
Indeed, let k≤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) in place of F, the functions ∂k∂kHφ and ∂kH(xkφ/ck−∂kφ) are integrable and ∫∂k∂kHφdγc=∫∂kH(xkφ/ck−∂kφ)dγc. The function ∂kH∂kφ 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)/ck, 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∂kφdγc. Multiplying by ak, summing over k≤n and using The Ornstein-Uhlenbeck Operator with Noise Weights on Bounded C^2 Cylindrical Functions §operator gives (1).
Step 3 (The case t=0). If t=0, then q−1≤exp(0)(p−1)=p−1, so q=p, and ∥P0F∥q=∥F∥p since P0F=F. From now on t>0.
Step 4 (Main estimate). Let G∈FCpol(X) and reals 0<δ≤K satisfy δ≤G(x)≤K for every x∈X. We show ∥PtG∥q≤∥G∥p.
(i) The functions fr. For real r≥0 put fr=PrG. By Step 1, applied to δ≤G≤K, and since Pr fixes constants, δ≤fr(x)≤K for all x. 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) is continuous on [0,∞) for each x. For r>0, fr∈FCb2(X) by The Mehler Semigroup: Cylindrical Form, the Semigroup Law, Invariance, Positivity, Contraction, Symmetry, Hermite Eigenfunctions, Commutation with Partial Derivatives, and the Generator §smoothing, G being bounded. Let 0<u<r and Hu=fu∈FCb2(X); then fr=Pr−uHu 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 Hu at the positive time r−u, gives Lafr=Pr−u(LaHu) and, the limit there being taken over all real nonzero increments of absolute value less than r−u, among others,
r↦fr(x) is differentiable at every r>0 with derivative Lafr(x),∣Lafr(x)∣≤Bu′(1+∣x∣) (r>u),(2)
where Bu′ is the number of Step 2(a) for H=Hu.
(ii) The functions Q, Ψ, Λ. Put Q(r)=1+(p−1)exp(2r/κ) for real r; then Q(0)=p, Q is strictly increasing with Q(r)≥p>1 for r≥0, and by Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, Q is differentiable with Q′(r)=κ2(p−1)exp(2r/κ)=κ2(Q(r)−1)>0. For real r≥0 the function x↦fr(x)Q(r)=∣fr(x)∣Q(r) is Borel by Power-Integrable Functions and the p-Seminorm §measurable-power and takes values in [δQ(r),KQ(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)=Q(r)logΨ(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)). Put K∗=max(K,1); for 0≤r≤T we have frQ(r)≤exp(Q(r)logK∗)≤K∗Q(T), as logK∗≥0.
(iii) Continuity. Let r0≥0 and let (rj)j∈N be a sequence in [0,∞) converging to r0; discarding finitely many terms, rj≤T0=r0+1. For each x, frj(x)→fr0(x) by (i) and Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential, and Q(rj)→Q(r0), Q being continuous by Differentiability at an Interior Point Implies Continuity There; since log and exp are continuous (Differentiability at an Interior Point Implies Continuity There), frj(x)Q(rj)=exp(Q(rj)logfrj(x))→fr0(x)Q(r0). These functions are bounded by the constant K∗Q(T0), 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). By Continuity Between Metric Spaces is Equivalent to Sequential Continuity §criterion, Ψ is continuous on [0,∞); as Ψ>0, Q>0, and log is continuous, Λ is continuous on [0,∞) by Continuity Between Metric Spaces is Equivalent to Sequential Continuity §on-subset.
(iv) Differentiability. Let r0>0, put u=r0/2, T=2r0 and U=(u,T). For r∈U and x∈X put Θ(r,x)=fr(x)Q(r)=exp(Q(r)logfr(x)). By (2), Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives, r↦Θ(r,x) is differentiable at every r∈U with
D1Θ(r,x)=fr(x)Q(r)(Q′(r)logfr(x)+Q(r)fr(x)Lafr(x)).
With λ=max(∣logδ∣,∣logK∣)≥∣logfr(x)∣, (2) and (ii) give, for r∈U, ∣D1Θ(r,x)∣≤K∗Q(T)(Q′(T)λ+Q(T)Bu′(1+∣x∣)/δ), a continuous function of x of the form b(1+∣x∣) with a real b≥0, hence integrable by the preamble. By (ii), x↦Θ(r,x) is integrable for each r∈U. So Differentiation under the Integral Sign shows that x↦D1Θ(r0,x) is measurable and integrable and that the restriction of Ψ to U is differentiable at r0 with derivative ∫XD1Θ(r0,x)γc(dx), and by Differentiability at an Interior Point is a Local Property so is Ψ itself. Write f=fr0, Q0=Q(r0) and Q0′=Q′(r0); since fQ0/f=fQ0−1, D1Θ(r0,x)=Q0′f(x)Q0logf(x)+Q0f(x)Q0−1Laf(x). The function fQ0−1Laf is Borel and integrable: f∈FCb2(X) by (i), with δ≤f≤K, so fQ0−1∈FCb1(X) by Step 2(b) (with H=f and β=Q0−1) 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∗Q0−1 because Q0−1>0 and f≤K∗ (Properties of Real Powers of Nonnegative Real Numbers §monotone); Laf∈FCpol(X) by Step 2(a) (with H=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∣) 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∣), and is integrable by the preamble. As Q0′>0, the function fQ0logf=(D1Θ(r0,⋅)−Q0fQ0−1Laf)/Q0′ is integrable, and the linearity of Linearity and Monotonicity of the Lebesgue Integral §integrable gives
Ψ′(r0)=Q0′∫XfQ0logfdγc+Q0∫XfQ0−1Lafdγc.(3)
(v) Rewriting the derivative. The function f∈FCb2(X) has a representation f=h∘pn with h∈Cb2(Rn) and satisfies δ≤f≤K. By Step 2(b), φ=fQ0−1 and g=fQ0/2 lie in FCb1(X) with representations of length n, ∂kφ=(Q0−1)fQ0−2∂kf and ∂kg=2Q0fQ0/2−1∂kf. By (1) with H=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=4Q02fQ0−2∑k=1nak(∂kf)2,
Q02∫XfQ0−1Lafdγc=−Q02(Q0−1)∫XfQ0−2k=1∑nak(∂kf)2dγc=−4(Q0−1)∫X∣∇ag∣a2dγc.
Moreover g2=fQ0 and, with ϕ the function of The Function slogs: Continuity, Young's Inequality and Lower Bounds, with the Elementary Bounds for the Exponential and the Logarithm, ϕ(g2)=fQ0log(fQ0)=Q0fQ0logf; also ∫Xg2dγc=Ψ(r0)>0, so ϕ(∫Xg2dγc)=Ψ(r0)logΨ(r0). 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),
Q0Ψ′(r0)−Q0′Ψ(r0)logΨ(r0)=Q0′Entγc(g2)−4(Q0−1)∫X∣∇ag∣a2dγc.
Since 1/Q(r)=exp(−logQ(r)), Chain Rule for One-Dimensional Derivatives and Sum, Constant Multiple, and Product Rules for One-Dimensional Derivatives show that Λ is differentiable at r0 with
Λ′(r0)=Q0Ψ(r0)Ψ′(r0)−Q02Q0′logΨ(r0)=Q02Ψ(r0)1(Q0′Entγc(g2)−4(Q0−1)∫X∣∇ag∣a2dγc).
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, Entγc(g2)≤2κ∫X∣∇ag∣a2dγc; as Q0′=2(Q0−1)/κ>0, we get Q0′Entγc(g2)≤4(Q0−1)∫X∣∇ag∣a2dγc, hence Λ′(r0)≤0.
(vi) Conclusion. By (iii) the restriction of Λ to [0,t] is continuous, and by (iv)-(v) it is differentiable at every point of (0,t) with nonpositive derivative: each such point is an interior point of both [0,∞) and [0,t], and the difference quotients of the restriction at it are among those of Λ, so the condition of differentiability satisfied by Λ there, with the same derivative, holds for the restriction. By Mean Value Theorem on a Closed Real Interval there is ξ∈(0,t) with Λ(t)−Λ(0)=tΛ′(ξ)≤0. Since Q(0)=p and f0=G, this gives ∥PtG∥Q(t)=exp(Λ(t))≤exp(Λ(0))=∥G∥p. Finally q≤Q(t), because q−1≤exp(2t/κ)(p−1)=Q(t)−1. If q<Q(t), put ρ1=Q(t)/q and ρ2=Q(t)/(Q(t)−q), conjugate exponents since 1/ρ1+1/ρ2=1 and ρ1>1. By Elementary Properties of the p-Seminorm §rescaling (with r=q, s=ρ1), ∣PtG∣q is ρ1-integrable with ∥∣PtG∣q∥ρ1=∥PtG∥Q(t)q, and the constant 1 has ∥1∥ρ2=1; so Hoelder's Inequality, for Two and for Finitely Many Factors §holder gives ∫X∣PtG∣qdγc≤∥PtG∥Q(t)q, and taking powers 1/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), which holds trivially if q=Q(t). Hence ∥PtG∥q≤∥G∥p.
Step 5 (Bounded nonnegative functions). Let F∈FCpol(X) with 0≤F(x)≤L for all x, and let δ>0. Then G=F+δ∈FCpol(X) satisfies δ≤G≤L+δ, so ∥PtG∥q≤∥G∥p by Step 4. Now PtG=PtF+δ and PtF≥0 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≤PtG and ∥PtF∥q≤∥PtG∥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, as ∫Xδpdγc=δp and (δp)1/p=δ by Properties of Real Powers of Nonnegative Real Numbers §inverse. So ∥PtF∥q≤∥F∥p+δ for every δ>0, whence ∥PtF∥q≤∥F∥p.
Step 6 (Nonnegative functions). Let F∈FCpol(X) be nonnegative, with representation (n,ψ,B,q0). For L∈N let FL=min(F,L)=min(ψ,L)∘pn. The function min(ψ,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); so FL∈FCpol(X) with 0≤FL≤L, FL≤FL+1≤F. By Step 5 and Elementary Properties of the p-Seminorm §comparison, ∥PtFL∥q≤∥FL∥p≤∥F∥p. For x∈X, PtFL(x)=∫XFL(Mt(x,y))γc(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 L, and equal to F(Mt(x,y)) as soon as L≥F(Mt(x,y)), so Monotone Convergence Theorem shows that the nondecreasing sequence (PtFL(x))L converges to PtF(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 is nondecreasing with limit, hence supremum, PtF(x)q, where PtF≥PtFL≥0 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)qdγc=Lsup∫X(PtFL)qdγc=Lsup∥PtFL∥qq≤∥F∥pq,
using Properties of Real Powers of Nonnegative Real Numbers §monotone; taking powers 1/q (Properties of Real Powers of Nonnegative Real Numbers §inverse) gives ∥PtF∥q≤∥F∥p.
Step 7 (General functions). Let F∈FCpol(X) with representation (n,ψ,B,q0). Then ∣F∣=∣ψ∣∘pn with ∣ψ∣ 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), so ∣F∣∈FCpol(X). Step 1 applied to −∣F∣≤F≤∣F∣, with Pt(−∣F∣)=−Pt∣F∣, gives ∣PtF∣≤Pt∣F∣ pointwise. By Elementary Properties of the p-Seminorm §comparison and Step 6, ∥PtF∥q≤∥Pt∣F∣∥q≤∥∣F∣∥p=∥F∥p, the last equality because ∣F∣ and F have the same absolute value. Together with Step 3 this proves the claim.