4.6. EXERCISES 121

the balls{

B(

x, δ x2

)}x∈K

. Finitely many of these cover K.{

B(

xi,δ xi2

)}n

i=1Now

consider what happens if you let δ ≤ min{

δ xi2 , i = 1,2, · · · ,n

}. Explain why this

works. You might draw a picture to help get the idea.

6. Suppose C is a set of compact sets in a metric space (X ,d) and suppose that theintersection of every finite subset of C is nonempty. This is called the finite inter-section property. Show that ∩C , the intersection of all sets of C is nonempty.This particular result is enormously important. Hint: You could let U denote the set{

KC : K ∈ C}

. If ∩C is empty, then its complement is ∪U = X . Picking K ∈ C ,

it follows that U is an open cover of K. K ⊆ ∪mi=1KC

i =(∩m

i=1Ki)C Therefore, you

would need to have{

KC1 , · · · ,KC

m}

is a cover of K. In other words, Now what doesthis say about the intersection of K with these Ki?

7. If (X ,d) is a compact metric space and f : X → Y is continuous where (Y,ρ) isanother metric space, show that if f is continuous on X , then it is uniformly contin-uous. Recall that this means that if ε > 0 is given, then there exists δ > 0 such thatif d (x, x̂) < δ , then ρ ( f (x) , f (x̂)) < ε . Compare with the definition of continuity.Hint: If this is not so, then there exists ε > 0 and xn, x̂n such that d (xn, x̂n)< 1/n butρ ( f (xn) , f (x̂n))≥ ε . Now use compactness to get a contradiction.

8. Prove the above problem using another approach. Use the existence of the Lebesguenumber in Problem 5 to prove continuity on a compact set K implies uniform conti-nuity on this set. Hint: Consider C ≡

{f−1 (B( f (x) ,ε/2)) : x ∈ X

}. This is an open

cover of X . Let δ be a Lebesgue number for this open cover. Suppose d (x, x̂) < δ .Then both x, x̂ are in B(x,δ ) and so both are in f−1

(B(

f (x̄) , ε

2

)). Hence

ρ ( f (x) , f (x̄))<ε

2, ρ ( f (x̂) , f (x̄))<

ε

2.

Now consider the triangle inequality.

9. Let X be a vector space. A Hamel basis is a subset of X ,Λ such that every vector ofX can be written as a finite linear combination of vectors of Λ and the vectors of Λ

are linearly independent in the sense that if {x1, · · · ,xn} ⊆ Λ and ∑nk=1 ckxk = 0 then

each ck = 0. Using the Hausdorff maximal theorem, show that every non-zero vectorspace has a Hamel basis. Hint: Let x1 ̸= 0. Let F denote the collection of subsets ofX , Λ containing x1 with the property that the vectors of Λ are linearly independent.Partially order F by set inclusion and consider the union of a maximal chain.

10. Suppose X is a nonzero real or complex normed linear space and let

V = span(w1, ...,wm)

where {w1, ...,wm} is a linearly independent set of vectors of X . Show that V is aclosed subspace of X with V ⊊ X . First explain why Theorem 4.2.11 implies anyfinite dimensional subspace of X can be written this way. Hint: You might want touse something like Lemma 4.4.7 to show this.

11. Suppose X is a normed linear space and its dimension is either infinite or greater thanm where V ≡ span(w1, ...,wm) for {w1, ...,wm} an independent set of vectors of X .

4.6. EXERCISES 12110.11.the balls {B (s. 5) I K Finitely many of these cover K. {B (x, >) \ Nowxe i=consider what happens if you let 6 < min { 4 =1,2,--- inh. Explain why thisworks. You might draw a picture to help get the idea.Suppose @ is a set of compact sets in a metric space (X,d) and suppose that theintersection of every finite subset of @ is nonempty. This is called the finite inter-section property. Show that N@, the intersection of all sets of @ is nonempty.This particular result is enormously important. Hint: You could let ZY denote the set{KC iKeE }. If N@ is empty, then its complement is UY = X. Picking K € @,it follows that % is an open cover of K. K CU", K€ = (i, Ki)© Therefore, youwould need to have {Kf, vee KC } is a cover of K. In other words, Now what doesthis say about the intersection of K with these K;?If (X,d) is a compact metric space and f : X — Y is continuous where (Y,p) isanother metric space, show that if f is continuous on X, then it is uniformly contin-uous. Recall that this means that if € > 0 is given, then there exists 6 > 0 such thatif d(x,%) < 6, then p (f (x), f (£)) < €. Compare with the definition of continuity.Hint: If this is not so, then there exists € > 0 and x,,£, such that d (xn,£n) < 1/n butP(f (Xn), f Bn)) > €. Now use compactness to get a contradiction.Prove the above problem using another approach. Use the existence of the Lebesguenumber in Problem 5 to prove continuity on a compact set K implies uniform conti-nuity on this set. Hint: Consider @ = { f~' (B(f (x) ,€/2)) :x € X}. This is an opencover of X. Let 5 be a Lebesgue number for this open cover. Suppose d (x,£) < 6.Then both x,£ are in B(x,5) and so both are in f—! (B (f (#) ,§)) . Hence€ R _ €PULL) <5. POL) <5.Now consider the triangle inequality.Let X be a vector space. A Hamel basis is a subset of X, A such that every vector ofX can be written as a finite linear combination of vectors of A and the vectors of Aare linearly independent in the sense that if {x),---,x,} C A and Y2_, cxxz = 0 theneach c, = 0. Using the Hausdorff maximal theorem, show that every non-zero vectorspace has a Hamel basis. Hint: Let x; 40. Let ¥ denote the collection of subsets ofX, A containing x; with the property that the vectors of A are linearly independent.Partially order Y by set inclusion and consider the union of a maximal chain.Suppose X is a nonzero real or complex normed linear space and letV = span(w1,..., Wm)where {w},...,Wm} is a linearly independent set of vectors of X. Show that V is aclosed subspace of X with V C X. First explain why Theorem 4.2.11 implies anyfinite dimensional subspace of X can be written this way. Hint: You might want touse something like Lemma 4.4.7 to show this.Suppose X is a normed linear space and its dimension is either infinite or greater thanm where V = span(w,...,Wm) for {w1,...,Wm} an independent set of vectors of X.