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Proof of A Continuous Function on a Compact Set Admits a Nondecreasing Modulus of Continuity

lemmalem:modulus-of-continuity-compact-2026a
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· 3,979 chars · 12 deps · depth 9 Reason: First publication. Proof that a continuous function on a nonempty compact set admits a nondecreasing modulus of continuity, by taking the supremum of the oscillation at each scale; the extreme value theorem supplies the bound making the supremum exist, and the Heine-Cantor theorem supplies its smallness near zero.

The extreme value theorem bounds the oscillation of ff, so the supremum of f(x)f(y)|f(x)-f(y)| over pairs at distance at most tt exists; this defines ω\omega. Monotonicity and domination are immediate from the definition, and the Heine-Cantor theorem gives the smallness of ω\omega near 00 required of a modulus of continuity.

Proof

Conventions. The order \le and the arithmetic of R\mathbb{R} are those of the ordered field of real numbers. Two inequalities may be added: if aba\le b and cdc\le d then a+cb+cb+da+c\le b+c\le b+d by the compatibility of \le with addition and the transitivity of \le.

Step 1: the oscillation of ff is bounded. Since ff is continuous on KK, for every xKx\in K and every positive εR\varepsilon\in\mathbb{R} there is a positive δR\delta\in\mathbb{R} such that every yKy\in K with d(x,y)<δd(x,y)<\delta satisfies dR(f(y),f(x))<εd_{\mathbb{R}}(f(y),f(x))<\varepsilon, that is, f(y)f(x)<ε|f(y)-f(x)|<\varepsilon. This is exactly the continuity property required in Extreme Value Theorem on a Compact Subset of a Metric Space, which therefore provides xmin,xmaxKx_{\min},x_{\max}\in K with

f(xmin)f(z)f(xmax)for every zK.f(x_{\min})\le f(z)\le f(x_{\max})\qquad\text{for every }z\in K .

Put C=f(xmax)f(xmin)C=f(x_{\max})-f(x_{\min}). Let x,yKx,y\in K. From f(xmin)f(y)f(x_{\min})\le f(y) and claim 4 of Elementary Order Arithmetic in an Ordered Field we get f(y)f(xmin)-f(y)\le-f(x_{\min}), and adding this to f(x)f(xmax)f(x)\le f(x_{\max}) gives f(x)f(y)Cf(x)-f(y)\le C. Exchanging xx and yy gives f(y)f(x)Cf(y)-f(x)\le C, hence Cf(x)f(y)-C\le f(x)-f(y) by claim 4 again, using (f(y)f(x))=f(x)f(y)-\bigl(f(y)-f(x)\bigr)=f(x)-f(y). By claim 6 of Properties of the Absolute Value in an Ordered Field, f(x)f(y)C|f(x)-f(y)|\le C.

Step 2: construction of ω\omega. For tTt\in T put

St={f(x)f(y) : x,yK with d(x,y)t}R.S_{t}=\bigl\{\,|f(x)-f(y)|\ :\ x,y\in K\ \text{with}\ d(x,y)\le t\,\bigr\}\subseteq\mathbb{R}.

Since KK is nonempty, choose x0Kx_{0}\in K. Then d(x0,x0)=0td(x_{0},x_{0})=0\le t by the metric axioms, and f(x0)f(x0)=0=0|f(x_{0})-f(x_{0})|=|0|=0 by claim 1 of Properties of the Absolute Value in an Ordered Field, so 0St0\in S_{t} and StS_{t} is nonempty. By Step 1 the number CC is an upper bound for StS_{t}, so StS_{t} is bounded above, and Least Upper Bound Property of the Real Numbers provides a least upper bound of StS_{t}, which is unique by Uniqueness of the Supremum and of the Infimum. Define ω:TR\omega:T\to\mathbb{R} by ω(t)=supSt\omega(t)=\sup S_{t}.

Step 3: ω\omega is a modulus of continuity. Since 0St0\in S_{t} and ω(t)\omega(t) is an upper bound for StS_{t}, we have 0ω(t)0\le\omega(t) for every tTt\in T, which is condition 1 of Modulus of Continuity.

For condition 2, let εR\varepsilon\in\mathbb{R} be positive. By Heine-Cantor Theorem: Continuity on a Compact Subset Implies Uniform Continuity, applied with the metric spaces (M,d)(M,d) and (R,dR)(\mathbb{R},d_{\mathbb{R}}) and the compact set KK, the map ff is uniformly continuous on KK; hence there is a positive δ0R\delta_{0}\in\mathbb{R} such that all x,yKx,y\in K with d(x,y)<δ0d(x,y)<\delta_{0} satisfy dR(f(x),f(y))=f(x)f(y)<εd_{\mathbb{R}}(f(x),f(y))=|f(x)-f(y)|<\varepsilon. Put δ=δ021\delta=\delta_{0}\cdot2^{-1}, which by claim 8 of Elementary Order Arithmetic in an Ordered Field is positive and satisfies δ<δ0\delta<\delta_{0}. Let tTt\in T satisfy tδt\le\delta, and let x,yKx,y\in K satisfy d(x,y)td(x,y)\le t. Then d(x,y)δd(x,y)\le\delta and δ<δ0\delta<\delta_{0}, so d(x,y)<δ0d(x,y)<\delta_{0} by claim 2 of Elementary Order Arithmetic in an Ordered Field, whence f(x)f(y)<ε|f(x)-f(y)|<\varepsilon and in particular f(x)f(y)ε|f(x)-f(y)|\le\varepsilon. Thus ε\varepsilon is an upper bound for StS_{t}, and since ω(t)\omega(t) is the least upper bound of StS_{t} we get ω(t)ε\omega(t)\le\varepsilon. This is condition 2, so ω\omega is a modulus of continuity.

Step 4: claim 1. Let s,tTs,t\in T with sts\le t. If x,yKx,y\in K satisfy d(x,y)sd(x,y)\le s, then d(x,y)td(x,y)\le t by transitivity; hence SsStS_{s}\subseteq S_{t}. Consequently ω(t)\omega(t), being an upper bound for StS_{t}, is an upper bound for SsS_{s}, and since ω(s)\omega(s) is the least upper bound of SsS_{s} we get ω(s)ω(t)\omega(s)\le\omega(t).

Step 5: claim 2. Let x,yKx,y\in K and tTt\in T satisfy d(x,y)td(x,y)\le t. Then f(x)f(y)St|f(x)-f(y)|\in S_{t}, and ω(t)\omega(t) is an upper bound for StS_{t}, so f(x)f(y)ω(t)|f(x)-f(y)|\le\omega(t).

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