TheoremBase

Closures are monotone and the closure of a union lies in the union of the closures; a union of two compact sets is compact by a finite choice of covering sets; continuity of the absolute value, maximum and minimum follows from the reverse triangle inequality and the formulas for max and min; the maximum modulus is attained on the support by the extreme value theorem.

Proof

Throughout, for a real function hh on XX write N(h)={x∈X:h(x)≠0}N(h)=\{x\in X:h(x)\neq0\}, a subset of XX by the routine facts of the setting, so that supp⁡h=cl⁡N(h)\operatorname{supp}h=\operatorname{cl}N(h) by Support of a Real Function on a Metric Space (i).

The zero function. The constant function 00 is continuous, constant maps into R\mathbb{R} being continuous (a background fact of the base). As N(0)=∅N(0)=\emptyset and no open ball meets ∅\emptyset, supp⁡0=cl⁡∅=∅\operatorname{supp}0=\operatorname{cl}\emptyset=\emptyset by Closure of a Subset of a Metric Space (ii); and ∅\emptyset is compact by Compact Subsets of a Metric Space: Covers by Open Sets, Finite Unions and Increasing Covers; Sublevel Sets of the Distance and Closed Balls (i), since the empty subset of any set of open sets is finite (Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (iii)) and covers ∅\emptyset. This proves (i).

Step 1: two facts on closures. Let A,B⊆XA,B\subseteq X. If A⊆BA\subseteq B, then cl⁡A⊆cl⁡B\operatorname{cl}A\subseteq\operatorname{cl}B, since by Closure of a Subset of a Metric Space (ii) a point of cl⁡A\operatorname{cl}A is one every open ball around which meets AA, hence meets BB. Moreover cl⁡(A∪B)⊆cl⁡A∪cl⁡B\operatorname{cl}(A\cup B)\subseteq\operatorname{cl}A\cup\operatorname{cl}B: if x∈Xx\in X lies in neither cl⁡A\operatorname{cl}A nor cl⁡B\operatorname{cl}B, there are real r,s>0r,s>0 with B(x,r)∩A=∅B(x,r)\cap A=\emptyset and B(x,s)∩B=∅B(x,s)\cap B=\emptyset; for t=min⁡{r,s}t=\min\{r,s\} the ball B(x,t)B(x,t) lies in both balls, so it does not meet A∪BA\cup B, and x∉cl⁡(A∪B)x\notin\operatorname{cl}(A\cup B).

Step 2: continuity. The functions f+gf+g, cfcf and fgfg are continuous, since pointwise sums, real multiples and products of continuous real functions are continuous (a background fact of the base). For ∣f∣|f|, let x∈Xx\in X and ε>0\varepsilon>0, and choose δ>0\delta>0 with ∣f(y)−f(x)∣<ε|f(y)-f(x)|<\varepsilon for every y∈Xy\in X with d(x,y)<δd(x,y)<\delta; by the reverse triangle inequality

∣∣f(y)∣−∣f(x)∣∣≤∣f(y)−f(x)∣<ε\bigl||f(y)|-|f(x)|\bigr|\le|f(y)-f(x)|<\varepsilon

for these yy, so ∣f∣|f| is continuous at xx. For real numbers a,ba,b, The Maximum and Minimum of Two Elements of an Ordered Field: Sum, Difference and Absolute Value (i) and The Maximum and Minimum of Two Elements of an Ordered Field: Sum, Difference and Absolute Value (ii) give max⁡{a,b}+min⁡{a,b}=a+b\max\{a,b\}+\min\{a,b\}=a+b and max⁡{a,b}−min⁡{a,b}=∣a−b∣\max\{a,b\}-\min\{a,b\}=|a-b|, hence

max⁡{a,b}=12(a+b+∣a−b∣),min⁡{a,b}=12(a+b−∣a−b∣).\max\{a,b\}=\tfrac12\bigl(a+b+|a-b|\bigr),\qquad\min\{a,b\}=\tfrac12\bigl(a+b-|a-b|\bigr).

Applied to a=f(x)a=f(x) and b=g(x)b=g(x) at every x∈Xx\in X, this shows max⁡(f,g)=12(f+g+∣f+(−1)g∣)\max(f,g)=\tfrac12\bigl(f+g+|f+(-1)g|\bigr) and min⁡(f,g)=12(f+g+(−1)∣f+(−1)g∣)\min(f,g)=\tfrac12\bigl(f+g+(-1)|f+(-1)g|\bigr), which are continuous by what was just shown.

Step 3: supports. If f(x)=g(x)=0f(x)=g(x)=0, then (f+g)(x)=0(f+g)(x)=0, and max⁡{f(x),g(x)}=min⁡{f(x),g(x)}=0\max\{f(x),g(x)\}=\min\{f(x),g(x)\}=0 by The Maximum and Minimum of Two Elements of a Total Order (ii); hence N(f+g)N(f+g), N(max⁡(f,g))N(\max(f,g)) and N(min⁡(f,g))N(\min(f,g)) are contained in N(f)∪N(g)N(f)\cup N(g). Further N(cf)⊆N(f)N(cf)\subseteq N(f), N(fg)=N(f)∩N(g)N(fg)=N(f)\cap N(g) because a product of two real numbers is nonzero exactly when both factors are, and N(∣f∣)=N(f)N(|f|)=N(f). By Step 1,

supp⁡(f+g)=cl⁡N(f+g)⊆cl⁡(N(f)∪N(g))⊆supp⁡f∪supp⁡g,\operatorname{supp}(f+g)=\operatorname{cl}N(f+g)\subseteq\operatorname{cl}\bigl(N(f)\cup N(g)\bigr)\subseteq\operatorname{supp}f\cup\operatorname{supp}g,

and the other inclusions of (ii) follow from the inclusions between the sets N(⋅)N(\cdot) by the monotonicity of the closure in Step 1: supp⁡max⁡(f,g)\operatorname{supp}\max(f,g) and supp⁡min⁡(f,g)\operatorname{supp}\min(f,g) as for f+gf+g, supp⁡(cf)⊆cl⁡N(f)\operatorname{supp}(cf)\subseteq\operatorname{cl}N(f), supp⁡(fg)\operatorname{supp}(fg) lies in both cl⁡N(f)\operatorname{cl}N(f) and cl⁡N(g)\operatorname{cl}N(g), and supp⁡∣f∣=cl⁡N(f)=supp⁡f\operatorname{supp}|f|=\operatorname{cl}N(f)=\operatorname{supp}f. Each of these supports is closed, being a closure, and lies in supp⁡f∪supp⁡g\operatorname{supp}f\cup\operatorname{supp}g, which is compact by Compact Subsets of a Metric Space: Covers by Open Sets, Finite Unions and Increasing Covers; Sublevel Sets of the Distance and Closed Balls (ii) (the set {supp⁡f}∪{supp⁡g}\{\operatorname{supp}f\}\cup\{\operatorname{supp}g\} is finite by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (iii) and Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (v)), or in supp⁡f\operatorname{supp}f, which is compact. A closed subset of a compact set is compact, so all six functions have compact support. Together with Step 2 this proves (ii).

Step 4: vanishing off the support. If f(x)≠0f(x)\neq0, then x∈N(f)⊆cl⁡N(f)=supp⁡fx\in N(f)\subseteq\operatorname{cl}N(f)=\operatorname{supp}f, since a set lies in its closure. This is (iii).

Step 5: the maximum. Let S={0}∪{∣f(x)∣:x∈X}S=\{0\}\cup\{|f(x)|:x\in X\} and K=supp⁡fK=\operatorname{supp}f. If K=∅K=\emptyset, then f(x)=0f(x)=0 for every x∈Xx\in X by Step 4, so S={0}S=\{0\} and 00 is its greatest element. If K≠∅K\neq\emptyset, the restriction of ∣f∣|f| to KK is continuous on KK by Restricting a Continuous Map to a Smaller Subset Preserves Continuity (ii), since ∣f∣|f| is continuous on XX by Step 2. As KK is compact and nonempty, the extreme value theorem gives x∗∈Kx^{*}\in K with

∣f(x)∣≤∣f(x∗)∣for every x∈K.|f(x)|\le|f(x^{*})|\qquad\text{for every }x\in K.

For x∈X∖Kx\in X\setminus K we have ∣f(x)∣=0≤∣f(x∗)∣|f(x)|=0\le|f(x^{*})| by Step 4, and also 0≤∣f(x∗)∣0\le|f(x^{*})|. Thus ∣f(x∗)∣|f(x^{*})| is an element of SS and an upper bound of SS, that is, the greatest element of SS in the sense of Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iii). This proves (iv).

Step 6: uniform continuity. Let ε>0\varepsilon>0; we find δ>0\delta>0 with ∣f(x)−f(y)∣<ε|f(x)-f(y)|<\varepsilon for all x,y∈Xx,y\in X with d(x,y)<δd(x,y)<\delta, as Uniformly Continuous Map Between Metric Spaces (i) requires. If K=supp⁡fK=\operatorname{supp}f is empty, f=0f=0 by Step 4 and every δ>0\delta>0 works. Let K≠∅K\neq\emptyset, and let U\mathcal{U} be the set of open balls B(x,r)B(x,r) with x∈Kx\in K and real r>0r>0 such that

∣f(y)−f(x)∣<ε/2for every y∈B(x,2r).|f(y)-f(x)|<\varepsilon/2\qquad\text{for every }y\in B(x,2r).

The set U\mathcal{U} covers KK: for x∈Kx\in K, continuity of ff at xx (Continuous Map Between Metric Spaces (i)) gives δ0>0\delta_{0}>0 with ∣f(y)−f(x)∣<ε/2|f(y)-f(x)|<\varepsilon/2 whenever d(x,y)<δ0d(x,y)<\delta_{0}, and then x∈B(x,δ0/2)∈Ux\in B(x,\delta_{0}/2)\in\mathcal{U}. Open balls are open, so by Compact Subsets of a Metric Space: Covers by Open Sets, Finite Unions and Increasing Covers; Sublevel Sets of the Distance and Closed Balls (i) some finite V⊆U\mathcal{V}\subseteq\mathcal{U} covers KK, and V≠∅\mathcal{V}\neq\emptyset because K≠∅K\neq\emptyset. For each U∈VU\in\mathcal{V} the set of pairs (x,r)(x,r) as in the definition of U\mathcal{U} with U=B(x,r)U=B(x,r) is nonempty, so by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (xi) we may fix such a pair (xU,rU)(x_{U},r_{U}) for every U∈VU\in\mathcal{V}. Let δ>0\delta>0 be the least element of the nonempty finite set {rU:U∈V}\{r_{U}:U\in\mathcal{V}\}, given by Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (vi) and Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (viii).

Now let x,y∈Xx,y\in X with d(x,y)<δd(x,y)<\delta. If x,y∉Kx,y\notin K, then f(x)=f(y)=0f(x)=f(y)=0 by Step 4. If x∈Kx\in K, then x∈Ux\in U for some U∈VU\in\mathcal{V}, that is d(xU,x)<rUd(x_{U},x)<r_{U}, and

d(xU,y)≤d(xU,x)+d(x,y)<rU+δ≤2rU;d(x_{U},y)\le d(x_{U},x)+d(x,y)<r_{U}+\delta\le2r_{U};

so x,y∈B(xU,2rU)x,y\in B(x_{U},2r_{U}), and

∣f(x)−f(y)∣≤∣f(x)−f(xU)∣+∣f(xU)−f(y)∣<ε.|f(x)-f(y)|\le|f(x)-f(x_{U})|+|f(x_{U})-f(y)|<\varepsilon .

The case y∈Ky\in K is symmetric. This proves (v).

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