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Functions of Bounded Variation

Functions of Bounded VariationOur main theorem concerning the existence of Riemann Stietjes integrals assures usthat the integral baf(x)d (x) exists whenfis continuous and is monotonic. Our lin-earity theorem then guarantees that the integral baf(x)d (x) exists whenfis continuousand is the difference of two monotonic Functions . In these notes,we prove that is thedifference of two monotonic Functions if and only if it is of Bounded Variation , whereDefinition 1(a) The function : [a, b] IR is said to be of Bounded Variation on [a, b] if and only ifthere is a constantM >0 such thatn i=1 (xi) (xi 1) Mfor all partitions IP ={x0, x1, , xn}of [a, b].(b) If : [a, b] IR is of Bounded Variation on [a, b], then the total Variation of on [a, b]is defined to beV (a, b) = sup{n i=1 (xi) (xi 1) IP ={x0, x1, , xn}is a partition of [a, b]}Example 2If : [a, b] IR is monotonically increasing, then, for any partition IP ={x0, x1, , xn}of [a, b]n i=1 (xi) (xi 1) =n i=1{ (xi) (xi 1)}= (xn) (x0) = (b) (a)Thus is of Bounded Variation andVf(a, b) = (b) (a).

Functions of Bounded Variation Our main theorem concerning the existence of Riemann–Stietjes integrals assures us that the integral Rb a f(x) dα(x) exists when f is continuous and α is monotonic.

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Transcription of Functions of Bounded Variation

1 Functions of Bounded VariationOur main theorem concerning the existence of Riemann Stietjes integrals assures usthat the integral baf(x)d (x) exists whenfis continuous and is monotonic. Our lin-earity theorem then guarantees that the integral baf(x)d (x) exists whenfis continuousand is the difference of two monotonic Functions . In these notes,we prove that is thedifference of two monotonic Functions if and only if it is of Bounded Variation , whereDefinition 1(a) The function : [a, b] IR is said to be of Bounded Variation on [a, b] if and only ifthere is a constantM >0 such thatn i=1 (xi) (xi 1) Mfor all partitions IP ={x0, x1, , xn}of [a, b].(b) If : [a, b] IR is of Bounded Variation on [a, b], then the total Variation of on [a, b]is defined to beV (a, b) = sup{n i=1 (xi) (xi 1) IP ={x0, x1, , xn}is a partition of [a, b]}Example 2If : [a, b] IR is monotonically increasing, then, for any partition IP ={x0, x1, , xn}of [a, b]n i=1 (xi) (xi 1) =n i=1{ (xi) (xi 1)}= (xn) (x0) = (b) (a)Thus is of Bounded Variation andVf(a, b) = (b) (a).

2 Example 3If : [a, b] IR is continuous on [a, b] and differentiable on (a, b) withsupa<x<b| (x)| M, then, for any partition IP ={x0, x1, , xn}of [a, b], we have, bythe Mean Value Theorem,n i=1 (xi) (xi 1) =n i=1 (ti)[xi xi 1] n i=1M[xi xi 1] =M(b a)Thus is of Bounded Variation andVf(a, b) M(b a).c Joel Feldman. 2017. All rights 30, 2017 Functions of Bounded Variation1 Example 4 Define the function : [0,1] IR by (x) ={0ifx= 0xcos xifx6= 0 This function is continuous, but is not of Bounded variationbecause it wobbles too muchnearx= 0. To see this, consider, for eachm IN, the partitionIPm={x0= 0, x1=12m, x2=12m 1, x3=12m 2, , x2m 2=13, x2m 1=12, x2m= 1}The values of at the points of this partition are (IPm) ={0,12m, 12m 1,12m 2, , 13,12, 1}xyy= (x)x2m= 1x2m 1=1213 For this partition,2m i=1 (xi) (xi 1) = 12m 0 + 12m 1 12m + 1(2m 2)+12m 1 + + 13 14 + 12+13 + 1 12 =12m+ 0 +12m 1+12m+1(2m 2)+12m 1+ +13+14+12+13+ 1 +12= 2(12m+12m 1+ +13+12)+ 1 The harmonic series k=21kdiverges.}

3 So given anyM, there is anm IN for which thepartition IPmobeysn i=1 (xi) (xi 1) > MTheorem 5(a) If , : [a, b] IRare of Bounded Variation andc, d IR, thenc +d is of boundedvariation andVc +d (a, b) |c|V (a, b) +|d|V (a, b)c Joel Feldman. 2017. All rights 30, 2017 Functions of Bounded Variation2(b) If : [a, b] IRis of Bounded Variation on[a, b]and[c, d] [a, b], then is of boundedvariation on[c, d]andV (c, d) V (a, b)(c) If : [a, b] IRis of Bounded Variation andc (a, b), thenV (a, b) =V (a, c) +V (c, b)(d) If : [a, b] IRis of Bounded Variation then the functionsV(x) =V (a, x)andV(x) (x)are both increasing on[a, b].(e) The function : [a, b] IRis of Bounded Variation if and only if it is the difference oftwo increasing :We shall use the shorthand notationIP i forn i=1 (xi) (xi 1) where the partition IP ={x0, x1, , xn}.

4 (a) follows from the observation that, for any IP partition of [a, b],IP i(c +d ) |c|IP i +|d|IP i |c|V (a, b) +|d|V (a, b)(b) follows from the observation that, for any partition IP of [c, d],IP i IP {a,b} i V (a, b)(c) If IP ={x0, x1, , xn}is any partition of [a, b] andxi 1 c xi, then (xi) (xi 1) (xi) (c) + (c) (xi 1) so thatIP i IP {c} i =(IP {c}) [a,c] i +(IP {c}) [c,b] i V (a, c) +V (c, b)c Joel Feldman. 2017. All rights 30, 2017 Functions of Bounded Variation3which implies thatV (a, b) V (a, c) +V (c, b). To prove the other inequality, we let >0 and select a partition IP1of [a, c] for whichIP1 i V (a, c) and a partitionIP2of [c, b] for whichIP2 i V (c, b) . ThenIP1 IP2 i =IP1 i +IP2 i V (a, c) +V (c, b) 2 This assures thatV (a, b) V (a, c) +V (c, b) 2 for all >0 and hence thatV (a, b) V (a, c) +V (c, b).

5 (d)Proof thatV(x)is increasing:Leta x1 x2 b. Then, by part (c),V(x2) V(x1) =V (a, x2) V (a, x1) =V (x1, x2) 0(d)Proof thatV(x) (x)is increasing:Leta x1 x2 b. By part (c),{V(x2) (x2)} {V(x1) (x1)}=V (x1, x2) { (x2) (x1)} V (x1, x2) (x2) (x1) =V (x1, x2) {x1,x2} i 0(e) If is of Bounded Variation then (x) =V (a, x) [V (a, x) (x)]expresses asthe difference of two increasing Functions . On the other handif is the difference of two increasing Functions , then and are of Bounded Variation by Example 2 and isof Bounded Variation by part (a).Example 6We know that iffis continuous and is of Bounded Variation on [a, b], thenf R( ) on [a, b]. Iffis of Bounded Variation and is continuous on [a, b], then we havef R( ) on [a, b] with baf d =f(b) (b) f(a) (a) ba dfby our integration by parts theorem.

6 It is possible to havef R( ) on [a, b] even if neitherfnor are of Bounded Variation on [a, b]. For example, we have seen, in Example 4, that (x) ={0ifx= 0xcos xifx6= 0c Joel Feldman. 2017. All rights 30, 2017 Functions of Bounded Variation4is continuous but not of Bounded Variation on [0,1], because of excessive oscillation nearx= 0. Sof(x) = (1 x) (still with the of Example 4) is continuous but not of boundedvariation on [0,1], because of excessive oscillation nearx= 1. Butf R( ) on [0,12],by integration by parts, becausefis of Bounded Variation on [0,12]. Andf R( ) on[12,1], because is of Bounded Variation on [12,1]. Sof R( ) on [0,1], by our Joel Feldman. 2017. All rights 30, 2017 Functions of Bounded Variation5}


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