201a_f10_hw4_sol

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201A, Fall ’10, Thomases Homework 4 - Solutions Mihaela Ifrim 1. Suppose f n C ([0, 1]) is a monotone decreasing sequence that con- verges pointwise to f C ([0, 1]). Prove that f n converges uniformly to f . This result is called Dini’ s monotone convergence theorem. Proof. Put g n (x) := f n (x) - f (x). The reason I am doing this is because it will be easier for me to prove that g n converges uniformly to zero rather than prove that f n converges uniformly to f (note that this is just a rewriting of the our problem). The new sequence we have constructed g n is in C ([0, 1]) since f n C ([0, 1]) and f C ([0, 1]). Also, note that g n 0 pointwise and also g n g n+1 . This last inequality is true since we know that f n f n+1 , which im- plies that f n - f f n+1 - f i.e., g n g n+1 . So, our goal is to prove that g n 0 uniformly on [0, 1]. Let ε> 0. For each x [0, 1] there is an integer N x such that 0 g Nx (x) ε 2 . By the continuity and by the monotocity of the sequence {g n } n (we said above that a monotone decreasing sequence), there exists an open set I (x) that contains x, such that 0 g n (t) ε (1) if t I (x) and if n N x . Since [0, 1] is compact, we know that we can find a finite open cover of it; in particular there exists a finite set of points x 1 ,x 2 ··· ,x m such that [0, 1] I (x 1 ) I (x 2 ) I (x 2 ) ∪···∪ I (x m ). (2) Choosing N := max {N x 1 ,N x 2 ,N x 3 , ··· ,N xm }

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  • 201A, Fall 10, ThomasesHomework 4 - Solutions

    Mihaela Ifrim

    1. Suppose fn C([0, 1]) is a monotone decreasing sequence that con-verges pointwise to f C([0, 1]). Prove that fn converges uniformlyto f . This result is called Dini s monotone convergence theorem.

    Proof. Put gn(x) := fn(x) f(x). The reason I am doing this isbecause it will be easier for me to prove that gn converges uniformlyto zero rather than prove that fn converges uniformly to f (note thatthis is just a rewriting of the our problem). The new sequence we haveconstructed gn is in C([0, 1]) since fn C([0, 1]) and f C([0, 1]).Also, note that gn 0 pointwise and also gn gn+1.

    This last inequality is true since we know that fn fn+1, which im-plies that fn f fn+1 f i.e., gn gn+1.

    So, our goal is to prove that gn 0 uniformly on [0, 1].Let > 0. For each x [0, 1] there is an integer Nx such that

    0 gNx(x)

    2.

    By the continuity and by the monotocity of the sequence {gn}n (wesaid above that a monotone decreasing sequence), there exists an openset I(x) that contains x, such that

    0 gn(t) (1)

    if t I(x) and if n Nx. Since [0, 1] is compact, we know that wecan find a finite open cover of it; in particular there exists a finite setof points x1, x2 , xm such that

    [0, 1] I(x1) I(x2) I(x2) I(xm). (2)

    Choosing N := max {Nx1 , Nx2 , Nx3 , , Nxm}

  • it follows from (1) and (2) that

    0 gn(t) ,if t I(x) and if n N . This prove the uniformity of convergence.

    Note The compactness of [0, 1] is necessarily ! For instance look at

    fn(x) =1

    nx+ 1,

    where x (0, 1) and n N. Then fn(x) 0 monotonically in (0, 1),but the convergence is not uniform.

    2. Consider the space ofcontinuous differentiable functions

    C1([a, b]) ={f : [a, b] R | f, f are continous }

    with the C1 - norm,

    f C1= supaxb |f(x)|+ supaxb |f (x)|.Proove that C1([a, b]) is a Banach space with respect to the givennorm.

    Proof. Set I = [a, b]. Since we are asked to prove that C1([a, b]) is aBanach space, let {fn}n be a Cauchy sequence in C1([a, b]) .Since fn fm fn fm C1 the sequence {fn}n is Cauchy inC (I) such that fn f uniformly.

    Next set gn = f n.Then

    gn gm = f n fm fn fm C1 ,

    so {gn}n is Cauchy in C (I).Therefore, there exists a function g C(I) such that

    gn g

  • uniformly.

    It remains to prove that f C1(I) and that fn f in C1(I). Fixany x I and any h R such that x+ h I.

    Then

    1h

    (f(x+ h) f(x)) = limn

    1h

    (fn(x+ h) fn(x))

    = limn

    1h

    h0f

    n(x+ t) dt.

    (3)

    Therefore we get that

    1h

    (f(x+ h) f(x)) = limn

    1h

    h0gn(x+ t) dt. (4)

    Now, recall that uniform convergence on a finite interval impliesconvergence of integralswe have proved this in homework no 3. Sincegn g uniformly we find that

    1h

    (f(x+ h) f(x)) = limn

    1h

    h0gn(x+ t) dt =

    1h

    h0g(x+ t) dt.

    Since g is a continuous function, the limit as h 0 exists and so

    f(x) = lim

    h01h

    (f(x+ h) f(x))

    = limh0

    1h

    h0g(x+ t) dt

    = g(x).

    (5)

    This proves that f C1(I).

    To prove that fn f in C1(I) we note that

    f fn C1 = f fn + f f n

    = f fn + g gn .(6)

    By the construction of f and g it follows that f fn C1(I) 0.

  • Hence the proof is done, since our random Cauchy sequence {fn}n itturn out to be a convergent sequence C1([a, b]) is a Banach spacewith respect to the given norm.

    3. Let F C([0, 1] [0, 1]) and consider the map

    F : C([0, 1]) C([0, 1])

    given by

    (Ff) (x) = 10 F (x, y)f(y) dy.Prove that {Ff | f 1} is an equicontinuous family so that anygiven sequence {fn}n with fn 1 for all ns has a subsequence{fn(i)

    }n(i)

    with{Ffn(i)}n(i) uniformly convergent.

    Proof. First lets observe that [0, 1] is a compact set, and by Ty-chonoffs Theorem, [0, 1] [0, 1] is also a compact set. So, F is uni-formly continuous, which by definition means that for all > 0 thereexists some > 0 such that if |x1 x2|+ |y1 y2| < then

    |F (x1, y1) F (x2, y2)| < .

    We have to prove that {Ff | f 1} is an equicontinuous familyof functions, so lets apply the definiton to see if indeed it is verified.Then for > 0, take > 0 as above, and if |x1 x2| <

    |Ff(x1)Ff(x2)| = | 10

    (F (x1, y) F (x2, y)) f(y) dy|

    10|F (x1, y) F (x2, y)||f(y)| dy

    10 dy

    = (1 0)= .

    (7)

    So, indeed the family is equicontinuous.

  • So the family {Ff : f 1} is equicontinuous. Note also thatthe family is bounded. It is also closed. To see this, suppose {Ffn}in the family converges to Ff . Since we can pass the limit inside theintegral, and {f C([01, ]) : fn 1} is closed. So, by Arzela-AscoliTheorem, it is compact. In particular, it is sequentially compact, soany sequence {fn} with fn 1 for all n has a subsequence {fn(i)}such that {Ffn(i)} is uniformly convergent.

    4. Suppose

    K = {f C([0, 1]) : Lip(f) 1, and 10 f(x)dx = 0}Prove that K is compact in C([0, 1]).

    Proof. In order to solve the problem I will use Arzela - Ascoli Theo-rem. This result will give us the desired result.

    K is equicontinuousThe Lipschitz condition implies that K is equicontinuous. To provethis fix > 0. Set = . Then for any f K, and for any x and y in[0, 1] that satisfy |x y| < we have

    |f(x) f(y)| Lip(f)|x y| |x y| .

    K is boundedTo pove that K is bounded, note that if

    f = 0, and f is continuous,

    then there must exist an x0 [0, 1] such that f(x0) = 0. Then for anyx [0, 1] and any f K, we have:

    |f(x)| = |f(x) f(x0)| Lip(f)|x x0| |x x0| 1. (8)Hence f 1.

    K is closedLet {fn}n be a Cauchy sequence in K. Since C([0, 1]) is a completemetric space, there exists an f C([0, 1]) such that fn f uniformly.

  • We need to prove that indeed f belongs to K.Since fn f uniformly we know that

    Lip(f) lim supn

    Lip(fn) 1f = lim

    n

    fn = 0.

    (9)

    This proves that f K.

    This finishes the proof of the fact that K is compact in C([0, 1]).

    5. Prove that C([a, b]) is separable.

    Proof. Without loss of generality, we may assume that a = 0, b = 1.

    Let P (Q) denote the set of all polynomials over a Q, and P (R) denotethe set of all polynomials over R. It is obvious that P (Q) is a countableset.

    Suppose q P (R), and

    q(x) =n

    k=0

    kxk, k R. (10)

    Since Q is dense in R, then for each > 0, we can find aj Q so that

    |aj j | < 3(n+ 1) , 1 j n. (11)

    Hence

    |p(x) q(x)| n

    k=0

    |aj j ||x|j n

    k=0

    |aj j | < 2 . (12)

    Therefore p q < /2. This implies that any q P (R), and any > 0, we can find p P (R), so that q p < .For any f C([a, b]), and any > 0, we can find a polynomial q P (R), so that f q < /2 by Weietrass theorem. By the aboveobservation, for this q, we can find p P (R) so that p q < /2.

  • Therefore f p < . Hence P (Q) is dense in C([0, 1]). ThereforeC([0, 1]) is separable since P (Q) is countable.Let T : C([a, b]) C([0, 1]), by

    (Tf)(x) = f (a+ (b a)x) , (13)

    then T is an invertible isometry. Since P (Q) is a countable densesubset of C([0, 1]), so is T1 (P (Q)). This implies that C([a, b]) isseparable.

    6. (a) Suppose T : X X is a contraction mapping. Show that Tn isalso a contraction mapping for every n N.

    (b) Give an example to show that Tn is a contraction mapping forn 2 does not necessarily imply that T is a contraction mapping.

    Proof. (a) Since T : X X is a contraction, then we can find a nonnegativeconstant C with 0 C < 1 so that

    d(Tx, Ty) Cd(x, y),x, y X. (14)

    By induction, we can prove that, for any n N,

    d(Tnx, Tny) Cnd(x, y), x, y X. (15)

    Since 0 C < 1, then0 Cn < 1. (16)

    (14) and (16) implies Tn : X X is a contraction mapping.

    Proof of the induction.For n = 1, (14) holds since T is a contraction. Suppose (14) holds forn = k, then for n = k + 1, we find

    d(T k+1x, T k+1y) = d(T k(Tx), T k(Tx))

    Ckd(Tx, Ty) Ck Cd(x, y)= Ck+1d(x, y),

  • for any x, y X. By induction hypothesis (14) holds for n = k + 1.Then by mathematical induction, (14) holds for any n N.

    (b) Let X = C([0, 1]) and define T : X X by

    T (f)(x) = x0f(t)dt. (17)

    Then for any f, g X, we find

    |(Tf)(x) T (g)(x)| x0|f(t) g(t)|dt f g. (18)

    HenceTf Tg f g. (19)

    If we take f(x) = ex, then

    T (f)(x) = x0etdt = ex = f(x). (20)

    In this case,Tf 0 = f 0. (21)

    Hence T is not a contraction mapping. Since

    (T 2f)(x) = x0T (f)(x2)dx2

    = x0

    x20

    f(x1)dx1dx2.

    By Fubini theorem, we find

    (T 2f)(x) = x0f(x1)(x x1)dx1. (22)

    Using Fubini theorem, we find

    (T 3f)(x) = x0

    (x x1)(Tf)(x1)dx1

    = x0

    (x x1) x10

    f(x2)dx2dx1

    = x0f(x2)

    xx2

    (x x1)dx1dx2

    = x0f(x2)

    (x x2)22!

    dx2.

  • Similarly, we can prove that

    (Tnf)(x) =1

    (n 1)! x0f(t)(x t)n1dt,n N (23)

    Hence

    |(Tnf)(x) (Tng)(x)| 1(n 1)!

    ( x0

    (x t)n1dt)f g

    =xn

    n!f g

    1n!f g.

    Therefore

    Tnf Tng 1n!f g,f, g X,n N. (24)

    This implies that Tn is always a contraction mapping from X to Xitself when n 2, but T is not a contraction mapping.

    Proof. due to Tim and Amanda Let X = Z Z under the discretemetric. Then the map defined by

    A =(

    0 10 0

    )is not a contraction. Note that that A2 = 0, which is a contraction.

    7. (a) Suppose D is a bounded, closed subset of Rn with the standardmetric. Suppose T : D D satisfies

    Tx Ty < x y, (25)

    for every x, y D with x 6= y. Prove that T has exactly one fixedpoint in D.(b) Give an example of a mapping T : R R satisfying (25) that doesnot have a fixed point.

  • Proof.(a) Since D is closed and bounded in Rn, Heine-Borel Theorem impliesD is compact. Define : D [0,) by

    (x) = d(x, Tx) = x Tx, x X. (26)Then for any x, y D, we have, by triangle inequality,

    |(x) (y)| = |d(x, Tx) d(y, Ty)| d(x, y) + d(Tx, Ty) 2d(x, y),

    sinced(Tx, Ty) = Tx Ty < x y = d(x, y). (27)

    Therefore is a Lipshchitz continuous function. Since D is compactand is continuous, then attains its minimum on D. Hence we canfind x D so that

    (x) = minxD

    (x). (28)

    If (x) = d(x, Tx) 6= 0, then(Tx) = T 2x Tx < Tx x = (x). (29)

    This implies that (x) is no longer the minimum of f on D whichwill lead a contradiction that (x) is the minimum of f on D. Thus(x) = d(x, Tx) = 0, which implies, by metric property of d, that

    Tx = x. (30)

    Hence x is a fixed point of T in D. If we have another fixed point yof T in D, and y 6= x, then

    x y = Tx Ty < x y. (31)This is impossible. We conclude that T has a unique fixed point x inD.

    (b)

    Proof. One nice example of a such function is T (x) = 1 + log(1 + ex).To verify that indeed ( 25) is satisfied you just need to use some el-emetary calculus and see that

  • T(x) =

    ex

    1 + ex,

    which is obviously strictly less than 1 and strictly greater than 0.

    By the Mean Value Theorem we have that if x 6= y than

    T (x) T (y) = T ()(x y),

    for between x and y. So, indeed ( 25) is satisfied.

    To check that T has no fixed point look at

    T (x)x = 1+log(1+ex)x = 1+log(1+ex)log ex = 1+log(1+ex) > 1.Hence there is no fixed point for T .

    Why doesnt this example contradict the contraction mapping theo-rem? Let me know if you do not know the answer to this question!