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Proof of Comparison Principle for Slope-Based Solutions of the Eikonal Equation on a Complete Metric Space with Interpolation Points

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· 13,034 chars · 18 deps · depth 17 Reason: Proof of eikonal comparison, adapted from Liu-Zhou Thm 4.6.

By contradiction: after scaling u by a constant c<1, doubling variables and Ekeland's principle give near-maximizers that the boundary hypothesis keeps inside the open set, and the sub- and supersolution tests there contradict the uniform continuity and positive lower bound of f.

Proof

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

Throughout, Hf(x,r,p)=p−f(x)H_{f}(x,r,p)=p-f(x) for x∈Ωx\in\Omega, r∈Rr\in\mathbb{R} and p∈Tp\in T is the Hamiltonian on Ω\Omega of The Eikonal Equation on an Open Subset of a Metric Space; by The Eikonal Equation on an Open Subset of a Metric Space §eikonal the hypotheses say that the restriction u∣Ωu|_{\Omega} of uu to Ω\Omega is an s-subsolution and the restriction v∣Ωv|_{\Omega} an s-supersolution of Hf=0H_{f}=0 in Ω\Omega, in the sense of Slope-Based Viscosity Subsolutions, Supersolutions and Solutions on a Metric Space §subsolution and Slope-Based Viscosity Subsolutions, Supersolutions and Solutions on a Metric Space §supersolution. The properties of DD used below are those of The Distance to a Set is Nonexpansive (with A=KA=K): for all x,y∈Xx,y\in X and k∈Kk\in K, D(x)≤d(x,k)D(x)\le d(x,k) by its claim 2 and D(x)≤d(x,y)+D(y)D(x)\le d(x,y)+D(y) by its claim 3.

We argue by contradiction. Suppose that there is z∈Xz\in X with v(z)<u(z)v(z)<u(z), and put θ=u(z)−v(z)\theta=u(z)-v(z), a positive real. The constants are chosen in the order MM, cc, β\beta, σ\sigma, λ\lambda, σ′\sigma', γ\gamma, ε\varepsilon of Step 2; the points (x0,y0)(x_{0},y_{0}) and (xε,yε)(x_{\varepsilon},y_{\varepsilon}) of Step 3 are chosen after ε\varepsilon.

Step 1 (the doubled space). Let Z=X×XZ=X\times X and ϱ((x,y),(x′,y′))=d(x,x′)+d(y,y′)\varrho\bigl((x,y),(x',y')\bigr)=d(x,x')+d(y,y'). Conditions 1, 3 and 4 of Metric Space for ϱ\varrho follow by adding the same conditions for dd in the two coordinates; and since both summands are nonnegative, ϱ((x,y),(x′,y′))=0\varrho\bigl((x,y),(x',y')\bigr)=0 holds exactly when d(x,x′)=0d(x,x')=0 and d(y,y′)=0d(y,y')=0, that is, by condition 2 for dd, exactly when (x,y)=(x′,y′)(x,y)=(x',y'). So (Z,ϱ)(Z,\varrho) is a metric space.

It is complete: let ((xm,ym))\bigl((x_{m},y_{m})\bigr) be a Cauchy sequence in (Z,ϱ)(Z,\varrho). Since d(xm,xℓ)≤ϱ((xm,ym),(xℓ,yℓ))d(x_{m},x_{\ell})\le\varrho\bigl((x_{m},y_{m}),(x_{\ell},y_{\ell})\bigr) and d(ym,yℓ)≤ϱ((xm,ym),(xℓ,yℓ))d(y_{m},y_{\ell})\le\varrho\bigl((x_{m},y_{m}),(x_{\ell},y_{\ell})\bigr), the sequences (xm)(x_{m}) and (ym)(y_{m}) are Cauchy sequences in (X,d)(X,d), so by completeness of (X,d)(X,d) they converge to some xˉ∈X\bar{x}\in X and yˉ∈X\bar{y}\in X. Given a real τ>0\tau>0, take N1,N2∈NN_{1},N_{2}\in\mathbb{N} with d(xm,xˉ)<τ/2d(x_{m},\bar{x})<\tau/2 for m≥N1m\ge N_{1} and d(ym,yˉ)<τ/2d(y_{m},\bar{y})<\tau/2 for m≥N2m\ge N_{2}; then ϱ((xm,ym),(xˉ,yˉ))<τ\varrho\bigl((x_{m},y_{m}),(\bar{x},\bar{y})\bigr)<\tau for m≥max⁡{N1,N2}m\ge\max\{N_{1},N_{2}\}, so ((xm,ym))\bigl((x_{m},y_{m})\bigr) converges to (xˉ,yˉ)(\bar{x},\bar{y}) in (Z,ϱ)(Z,\varrho).

Now let cc and ε\varepsilon be positive reals and Φ(x,y)=c u(x)−v(y)−1εd(x,y)2\Phi(x,y)=c\,u(x)-v(y)-\frac{1}{\varepsilon}d(x,y)^{2} on ZZ. Then Φ\Phi is upper semicontinuous on ZZ in the sense of Upper Semicontinuous Function on a Subset of a Metric Space (for the metric space (Z,ϱ)(Z,\varrho)). Indeed, fix (xˉ,yˉ)∈Z(\bar{x},\bar{y})\in Z and a real τ>0\tau>0, and put ℓ=d(xˉ,yˉ)\ell=d(\bar{x},\bar{y}). Since uu is upper semicontinuous at xˉ\bar{x}, there is a real δ1>0\delta_{1}>0 with u(x)<u(xˉ)+τ/(3c)u(x)<u(\bar{x})+\tau/(3c), hence c u(x)<c u(xˉ)+τ/3c\,u(x)<c\,u(\bar{x})+\tau/3, for all x∈Xx\in X with d(xˉ,x)<δ1d(\bar{x},x)<\delta_{1}; since vv is lower semicontinuous at yˉ\bar{y}, there is a real δ2>0\delta_{2}>0 with v(yˉ)−τ/3<v(y)v(\bar{y})-\tau/3<v(y) for all y∈Xy\in X with d(yˉ,y)<δ2d(\bar{y},y)<\delta_{2}. Let δ3=min⁡{1,ετ/(3(2ℓ+1))}\delta_{3}=\min\{1,\varepsilon\tau/(3(2\ell+1))\} and δ0=min⁡{δ1,δ2,δ3}\delta_{0}=\min\{\delta_{1},\delta_{2},\delta_{3}\}, and let (x,y)∈Z(x,y)\in Z with s=ϱ((x,y),(xˉ,yˉ))<δ0s=\varrho\bigl((x,y),(\bar{x},\bar{y})\bigr)<\delta_{0}. Then d(xˉ,x)≤sd(\bar{x},x)\le s and d(yˉ,y)≤sd(\bar{y},y)\le s, and the triangle inequality (condition 4 of Metric Space) gives ℓ≤d(xˉ,x)+d(x,y)+d(y,yˉ)\ell\le d(\bar{x},x)+d(x,y)+d(y,\bar{y}) and d(x,y)≤d(x,xˉ)+ℓ+d(yˉ,y)d(x,y)\le d(x,\bar{x})+\ell+d(\bar{y},y), so ∣d(x,y)−ℓ∣≤s|d(x,y)-\ell|\le s. If d(x,y)≤ℓd(x,y)\le\ell then

ℓ2−d(x,y)2=(ℓ−d(x,y))(ℓ+d(x,y))≤s (2ℓ+s)≤s (2ℓ+1)<ετ/3,\ell^{2}-d(x,y)^{2}=\bigl(\ell-d(x,y)\bigr)\bigl(\ell+d(x,y)\bigr)\le s\,(2\ell+s)\le s\,(2\ell+1)<\varepsilon\tau/3 ,

and if ℓ<d(x,y)\ell<d(x,y) then ℓ2−d(x,y)2<0<ετ/3\ell^{2}-d(x,y)^{2}<0<\varepsilon\tau/3. Adding the three estimates, Φ(x,y)<Φ(xˉ,yˉ)+τ\Phi(x,y)<\Phi(\bar{x},\bar{y})+\tau.

Step 2 (constants). Since uu and vv are bounded above and below in the sense of The Real Numbers: Standing Notation and Background §bounds, there are reals a1,b1,a2,b2a_{1},b_{1},a_{2},b_{2} with a1≤u(x)≤b1a_{1}\le u(x)\le b_{1} and a2≤v(x)≤b2a_{2}\le v(x)\le b_{2} for every x∈Xx\in X; with M=1+∣a1∣+∣b1∣+∣a2∣+∣b2∣M=1+|a_{1}|+|b_{1}|+|a_{2}|+|b_{2}|, a positive real, we get ∣u(x)∣≤M|u(x)|\le M and ∣v(x)∣≤M|v(x)|\le M for every x∈Xx\in X. In particular θ≤∣u(z)∣+∣v(z)∣≤2M\theta\le|u(z)|+|v(z)|\le2M.

Let c=1−θ/(16M)c=1-\theta/(16M). Then 0<θ/(16M)≤1/80<\theta/(16M)\le1/8, so 7/8≤c<17/8\le c<1, and

(1−c) ∣u(x)∣≤θ16M M=θ16for every x∈X.(2.1)(1-c)\,|u(x)|\le\frac{\theta}{16M}\,M=\frac{\theta}{16}\qquad\text{for every }x\in X. \tag{2.1}

Let β=θ/2\beta=\theta/2. By the boundary hypothesis of the statement, applied with the positive real β/4\beta/4, there is a real σ>0\sigma>0 with u(x)−v(y)<β/4u(x)-v(y)<\beta/4 for all x,y∈Xx,y\in X with D(x)+D(y)+d(x,y)<σD(x)+D(y)+d(x,y)<\sigma. For such x,yx,y, (2.1) gives −(1−c) u(x)≤θ/16=β/8-(1-c)\,u(x)\le\theta/16=\beta/8, hence

c u(x)−v(y)=(u(x)−v(y))−(1−c) u(x)<β/4+β/8<β/2whenever D(x)+D(y)+d(x,y)<σ.(2.2)c\,u(x)-v(y)=\bigl(u(x)-v(y)\bigr)-(1-c)\,u(x)<\beta/4+\beta/8<\beta/2\qquad\text{whenever }D(x)+D(y)+d(x,y)<\sigma. \tag{2.2}

Let λ=(1−c) c0\lambda=(1-c)\,c_{0}, a positive real. By uniform continuity of ff on Ω\Omega there is a real σ′>0\sigma'>0 with ∣f(x)−f(y)∣<λ/2|f(x)-f(y)|<\lambda/2 for all x,y∈Ωx,y\in\Omega with d(x,y)<σ′d(x,y)<\sigma'. Let γ=min⁡{σ/4,σ′}\gamma=\min\{\sigma/4,\sigma'\}, and finally

ε=min⁡{12, θ4, γ24M, λ4}.\varepsilon=\min\Bigl\{\frac{1}{2},\ \frac{\theta}{4},\ \frac{\gamma^{2}}{4M},\ \frac{\lambda}{4}\Bigr\}.

Then 0<ε<10<\varepsilon<1, so ε2≤ε≤θ/4\varepsilon^{2}\le\varepsilon\le\theta/4; moreover 2Mε≤γ2/2<γ22M\varepsilon\le\gamma^{2}/2<\gamma^{2} and 2ε≤λ/22\varepsilon\le\lambda/2.

Step 3 (doubling of variables and Ekeland's principle). Let Φ\Phi be the function of Step 1 for these cc and ε\varepsilon. Since 0<c≤10<c\le1, for all (x,y)∈Z(x,y)\in Z we have Φ(x,y)≤c u(x)−v(y)≤c M+M≤2M\Phi(x,y)\le c\,u(x)-v(y)\le c\,M+M\le2M, so the nonempty set Φ(Z)\Phi(Z) is bounded above and S=sup⁡(x,y)∈ZΦ(x,y)S=\sup_{(x,y)\in Z}\Phi(x,y) exists by The Real Numbers: Standing Notation and Background §bounds. By (2.1),

S≥Φ(z,z)=c u(z)−v(z)=θ−(1−c) u(z)≥θ−θ/16=15θ/16.S\ge\Phi(z,z)=c\,u(z)-v(z)=\theta-(1-c)\,u(z)\ge\theta-\theta/16=15\theta/16 .

By claim 3 of Approximation Property of the Supremum and the Infimum in R\mathbb{R}, applied with the positive real ε2\varepsilon^{2}, there is (x0,y0)∈Z(x_{0},y_{0})\in Z with S−ε2<Φ(x0,y0)S-\varepsilon^{2}<\Phi(x_{0},y_{0}). By Step 1, Ekeland's Variational Principle for Upper Semicontinuous Functions on a Complete Metric Space applies to F=ΦF=\Phi on the complete metric space (Z,ϱ)(Z,\varrho) with η=ε2\eta=\varepsilon^{2} and κ=ε\kappa=\varepsilon, so that η/κ=ε\eta/\kappa=\varepsilon; it gives (xε,yε)∈Z(x_{\varepsilon},y_{\varepsilon})\in Z such that, by Ekeland's Variational Principle for Upper Semicontinuous Functions on a Complete Metric Space §value and ε2≤θ/4\varepsilon^{2}\le\theta/4,

Φ(xε,yε)≥Φ(x0,y0)≥S−ε2≥15θ/16−θ/4=11θ/16>β,(3.1)\Phi(x_{\varepsilon},y_{\varepsilon})\ge\Phi(x_{0},y_{0})\ge S-\varepsilon^{2}\ge15\theta/16-\theta/4=11\theta/16>\beta , \tag{3.1}

and, by Ekeland's Variational Principle for Upper Semicontinuous Functions on a Complete Metric Space §perturbed, Φ(x,y)−ε d(x,xε)−ε d(y,yε)<Φ(xε,yε)\Phi(x,y)-\varepsilon\,d(x,x_{\varepsilon})-\varepsilon\,d(y,y_{\varepsilon})<\Phi(x_{\varepsilon},y_{\varepsilon}) for every (x,y)≠(xε,yε)(x,y)\ne(x_{\varepsilon},y_{\varepsilon}). Since the left-hand side equals Φ(xε,yε)\Phi(x_{\varepsilon},y_{\varepsilon}) at (x,y)=(xε,yε)(x,y)=(x_{\varepsilon},y_{\varepsilon}), we get

c u(x)−v(y)−1εd(x,y)2−ε d(x,xε)−ε d(y,yε)≤c u(xε)−v(yε)−1εd(xε,yε)2for all x,y∈X.(3.2)c\,u(x)-v(y)-\tfrac{1}{\varepsilon}d(x,y)^{2}-\varepsilon\,d(x,x_{\varepsilon})-\varepsilon\,d(y,y_{\varepsilon})\le c\,u(x_{\varepsilon})-v(y_{\varepsilon})-\tfrac{1}{\varepsilon}d(x_{\varepsilon},y_{\varepsilon})^{2}\quad\text{for all }x,y\in X. \tag{3.2}

Put δ=d(xε,yε)\delta=d(x_{\varepsilon},y_{\varepsilon}). From (3.1), β<Φ(xε,yε)≤c u(xε)−v(yε)\beta<\Phi(x_{\varepsilon},y_{\varepsilon})\le c\,u(x_{\varepsilon})-v(y_{\varepsilon}) and δ2/ε=c u(xε)−v(yε)−Φ(xε,yε)<2M\delta^{2}/\varepsilon=c\,u(x_{\varepsilon})-v(y_{\varepsilon})-\Phi(x_{\varepsilon},y_{\varepsilon})<2M, so δ2<2Mε<γ2\delta^{2}<2M\varepsilon<\gamma^{2}; as δ\delta and γ\gamma are nonnegative, claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives

δ<γ≤min⁡{σ/4,σ′}.(3.3)\delta<\gamma\le\min\{\sigma/4,\sigma'\}. \tag{3.3}

Step 4 (the points lie in Ω\Omega). Suppose D(xε)≤σ/4D(x_{\varepsilon})\le\sigma/4. Since D(yε)≤δ+D(xε)D(y_{\varepsilon})\le\delta+D(x_{\varepsilon}), (3.3) gives D(xε)+D(yε)+δ≤2D(xε)+2δ<σ/2+σ/2=σD(x_{\varepsilon})+D(y_{\varepsilon})+\delta\le2D(x_{\varepsilon})+2\delta<\sigma/2+\sigma/2=\sigma, so c u(xε)−v(yε)<β/2c\,u(x_{\varepsilon})-v(y_{\varepsilon})<\beta/2 by (2.2), contradicting β<c u(xε)−v(yε)\beta<c\,u(x_{\varepsilon})-v(y_{\varepsilon}) from Step 3. Symmetrically, if D(yε)≤σ/4D(y_{\varepsilon})\le\sigma/4 then D(xε)≤δ+D(yε)D(x_{\varepsilon})\le\delta+D(y_{\varepsilon}) leads to the same contradiction. Hence D(xε)>σ/4>0D(x_{\varepsilon})>\sigma/4>0 and D(yε)>σ/4>0D(y_{\varepsilon})>\sigma/4>0. If xεx_{\varepsilon} were in KK, then D(xε)≤d(xε,xε)=0D(x_{\varepsilon})\le d(x_{\varepsilon},x_{\varepsilon})=0; so xε∈Ωx_{\varepsilon}\in\Omega, and likewise yε∈Ωy_{\varepsilon}\in\Omega.

Step 5 (subsolution test at xεx_{\varepsilon}). Define ψ1,ψ2:Ω→R\psi_{1},\psi_{2}:\Omega\to\mathbb{R} by ψ1(x)=1cεd(x,yε)2+1cv(yε)\psi_{1}(x)=\frac{1}{c\varepsilon}d(x,y_{\varepsilon})^{2}+\frac{1}{c}v(y_{\varepsilon}) and ψ2(x)=εcd(x,xε)\psi_{2}(x)=\frac{\varepsilon}{c}d(x,x_{\varepsilon}). Since (X,d)(X,d) has interpolation points and Ω\Omega is open, Elementary Properties of Local Slopes: Order, Negation, Bounds from Difference Quotients, Lipschitz Functions and Squared Distances §squared-distance, applied with x0=yεx_{0}=y_{\varepsilon}, k=1/(cε)k=1/(c\varepsilon) and C=v(yε)/cC=v(y_{\varepsilon})/c, shows that ψ1∈C‾(Ω)\psi_{1}\in\underline{\mathcal{C}}(\Omega) and ∣∇ψ1∣(xε)=2δ/(cε)|\nabla\psi_{1}|(x_{\varepsilon})=2\delta/(c\varepsilon). For y,w∈Ωy,w\in\Omega the triangle inequality gives ∣d(y,xε)−d(w,xε)∣≤d(y,w)|d(y,x_{\varepsilon})-d(w,x_{\varepsilon})|\le d(y,w), so ∣ψ2(y)−ψ2(w)∣≤εcd(y,w)|\psi_{2}(y)-\psi_{2}(w)|\le\frac{\varepsilon}{c}d(y,w); by Elementary Properties of Local Slopes: Order, Negation, Bounds from Difference Quotients, Lipschitz Functions and Squared Distances §lipschitz with L=ε/cL=\varepsilon/c, ψ2\psi_{2} is locally Lipschitz on Ω\Omega and e1=∣∇ψ2∣∗(xε)e_{1}=|\nabla\psi_{2}|^{*}(x_{\varepsilon}) satisfies e1≤ε/ce_{1}\le\varepsilon/c. Taking y=yεy=y_{\varepsilon} in (3.2), dividing by c>0c>0 and noting ψ2(xε)=0\psi_{2}(x_{\varepsilon})=0, we get u(x)−ψ1(x)−ψ2(x)≤u(xε)−ψ1(xε)−ψ2(xε)u(x)-\psi_{1}(x)-\psi_{2}(x)\le u(x_{\varepsilon})-\psi_{1}(x_{\varepsilon})-\psi_{2}(x_{\varepsilon}) for every x∈Ωx\in\Omega, so u∣Ω−ψ1−ψ2u|_{\Omega}-\psi_{1}-\psi_{2} has a local maximum at xεx_{\varepsilon} relative to Ω\Omega (with any radius). By Slope-Based Viscosity Subsolutions, Supersolutions and Solutions on a Metric Space §subsolution, max⁡{2δ/(cε)−e1,0}−f(xε)≤0\max\{2\delta/(c\varepsilon)-e_{1},0\}-f(x_{\varepsilon})\le0. By claim 1 of Elementary Properties of the Maximum of Two Elements and e1≤ε/ce_{1}\le\varepsilon/c,

2δcε−εc≤2δcε−e1≤max⁡{2δcε−e1,0}≤f(xε),so2δε≤c f(xε)+ε.(5.1)\frac{2\delta}{c\varepsilon}-\frac{\varepsilon}{c}\le\frac{2\delta}{c\varepsilon}-e_{1}\le\max\Bigl\{\frac{2\delta}{c\varepsilon}-e_{1},0\Bigr\}\le f(x_{\varepsilon}), \qquad\text{so}\qquad \frac{2\delta}{\varepsilon}\le c\,f(x_{\varepsilon})+\varepsilon . \tag{5.1}

Step 6 (supersolution test at yεy_{\varepsilon}). Define ψ3,ψ4:Ω→R\psi_{3},\psi_{4}:\Omega\to\mathbb{R} by ψ3(y)=−1εd(y,xε)2+c u(xε)\psi_{3}(y)=-\frac{1}{\varepsilon}d(y,x_{\varepsilon})^{2}+c\,u(x_{\varepsilon}) and ψ4(y)=−ε d(y,yε)\psi_{4}(y)=-\varepsilon\,d(y,y_{\varepsilon}). Then ψ3=−φ\psi_{3}=-\varphi with φ(y)=1εd(y,xε)2−c u(xε)\varphi(y)=\frac{1}{\varepsilon}d(y,x_{\varepsilon})^{2}-c\,u(x_{\varepsilon}), so the last sentence of Elementary Properties of Local Slopes: Order, Negation, Bounds from Difference Quotients, Lipschitz Functions and Squared Distances §squared-distance (with x0=xεx_{0}=x_{\varepsilon}, k=1/εk=1/\varepsilon, C=−c u(xε)C=-c\,u(x_{\varepsilon})) shows that ψ3∈C‾(Ω)\psi_{3}\in\overline{\mathcal{C}}(\Omega) and ∣∇ψ3∣(yε)=2 d(yε,xε)/ε=2δ/ε|\nabla\psi_{3}|(y_{\varepsilon})=2\,d(y_{\varepsilon},x_{\varepsilon})/\varepsilon=2\delta/\varepsilon. As in Step 5, ∣ψ4(y)−ψ4(w)∣≤ε d(y,w)|\psi_{4}(y)-\psi_{4}(w)|\le\varepsilon\,d(y,w) for y,w∈Ωy,w\in\Omega, so by Elementary Properties of Local Slopes: Order, Negation, Bounds from Difference Quotients, Lipschitz Functions and Squared Distances §lipschitz ψ4\psi_{4} is locally Lipschitz on Ω\Omega and e2=∣∇ψ4∣∗(yε)e_{2}=|\nabla\psi_{4}|^{*}(y_{\varepsilon}) satisfies e2≤εe_{2}\le\varepsilon. Taking x=xεx=x_{\varepsilon} in (3.2) and using d(xε,y)=d(y,xε)d(x_{\varepsilon},y)=d(y,x_{\varepsilon}), we get c u(xε)−v(y)−1εd(y,xε)2−ε d(y,yε)≤c u(xε)−v(yε)−1εδ2c\,u(x_{\varepsilon})-v(y)-\frac{1}{\varepsilon}d(y,x_{\varepsilon})^{2}-\varepsilon\,d(y,y_{\varepsilon})\le c\,u(x_{\varepsilon})-v(y_{\varepsilon})-\frac{1}{\varepsilon}\delta^{2}, which rearranges to v(yε)−ψ3(yε)−ψ4(yε)≤v(y)−ψ3(y)−ψ4(y)v(y_{\varepsilon})-\psi_{3}(y_{\varepsilon})-\psi_{4}(y_{\varepsilon})\le v(y)-\psi_{3}(y)-\psi_{4}(y) for every y∈Ωy\in\Omega. So v∣Ω−ψ3−ψ4v|_{\Omega}-\psi_{3}-\psi_{4} has a local minimum at yεy_{\varepsilon} relative to Ω\Omega, and Slope-Based Viscosity Subsolutions, Supersolutions and Solutions on a Metric Space §supersolution gives 2δ/ε+e2−f(yε)≥02\delta/\varepsilon+e_{2}-f(y_{\varepsilon})\ge0, hence

f(yε)≤2δε+e2≤2δε+ε.(6.1)f(y_{\varepsilon})\le\frac{2\delta}{\varepsilon}+e_{2}\le\frac{2\delta}{\varepsilon}+\varepsilon . \tag{6.1}

Step 7 (contradiction). By (6.1) and (5.1), f(yε)≤c f(xε)+2εf(y_{\varepsilon})\le c\,f(x_{\varepsilon})+2\varepsilon, that is,

(1−c) f(xε)≤f(xε)−f(yε)+2ε.(1-c)\,f(x_{\varepsilon})\le f(x_{\varepsilon})-f(y_{\varepsilon})+2\varepsilon .

Since xε∈Ωx_{\varepsilon}\in\Omega, c0≤f(xε)c_{0}\le f(x_{\varepsilon}), and 0<1−c0<1-c, the left-hand side is at least (1−c) c0=λ(1-c)\,c_{0}=\lambda. Since xε,yε∈Ωx_{\varepsilon},y_{\varepsilon}\in\Omega and d(xε,yε)=δ<σ′d(x_{\varepsilon},y_{\varepsilon})=\delta<\sigma' by (3.3), the choice of σ′\sigma' gives f(xε)−f(yε)<λ/2f(x_{\varepsilon})-f(y_{\varepsilon})<\lambda/2, and 2ε≤λ/22\varepsilon\le\lambda/2 by Step 2. Hence λ<λ/2+λ/2=λ\lambda<\lambda/2+\lambda/2=\lambda, which is impossible. Hence there is no z∈Xz\in X with v(z)<u(z)v(z)<u(z), that is, u(x)≤v(x)u(x)\le v(x) for every x∈Xx\in X.

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