Real Analysis Lecture ppt

download Real Analysis Lecture ppt

of 21

Transcript of Real Analysis Lecture ppt

  • 7/23/2019 Real Analysis Lecture ppt

    1/21

    Real Analysis

    Lecture 6: Differentiation

    Manasa Mandava

    Indian School of Business, Hyderabad

    Term 1, 2015

  • 7/23/2019 Real Analysis Lecture ppt

    2/21

    Uniform continuity

    Definition (Uniform continuity)

    Let f :XY . The function f is uniformly continuous on X iffor every >0 there exists a >0 such that dY(f(p), f(q))<

    for all p and q in X for which dX(p, q)< .

    TheoremA function is continuous if it is uniformly continuous.

  • 7/23/2019 Real Analysis Lecture ppt

    3/21

    Example : Uniformly continuous function

    Example

    Let f(x) =

    x, x(0, ). Then for every >0 choose =2.Then for all x, yR such that|x y|< 2,

    |f(x) f(y)|2 =|x y|2 |x y||x+ y|=|x y|< 2.

    Thus, it follows from the above inequality that|f(x) f(y)|< for all x, yR such that|x y|<

    2

    . Since the choice =2

    foreach does not depend on x, y, the function f(x) =

    x is

    uniformly continuous.

  • 7/23/2019 Real Analysis Lecture ppt

    4/21

    xamp e: unct on t at s cont nuous ut not un orm y

    continuous

    Example

    Letf(x) = 1/x, x(0, 2). Clearly the functionf is continuous on(0, 2). Assume thatf is uniformly continuous. Take = 1. Fix anarbitrary >0. Then, for x:= min(, 1) and y=x/2,

    |x y|=|x/2|< (1)

    and|f(x) f(y)|=|1/x 2/x|=|1/x| 1. (2)

    Since (1) and (2) hold for any >0, we have that for = 1, thereexists no >0 such that|f(x) f(y)|< for all|x y|< .Therefore, f(x) = 1/x is not uniformly continuous.

  • 7/23/2019 Real Analysis Lecture ppt

    5/21

    Definition

    Let fbe a real valued function defined on an interval ofR.

    Definition

    For each x

    [a, b], consider the function x: (a, b)

    \ {x

    } R,

    x(t) =f(t) f(x)

    t x , t(a, b), t=x.

    Denote f(x) := limtxx(t). Iff(x) exists, then the function f

    is said to be differentiableatx, andf

    (x) is called the derivativeoff at x.

  • 7/23/2019 Real Analysis Lecture ppt

    6/21

    Iff(x) is differentiable at every point of a set E, we say thatf isdifferentiableon E.

    Similar to left and right hand limits, we can consider left and righthand derivatives at a point x as the left and right hand limits at apoint x of the function x(t).

    Iff is defined on [a, b], the derivative off(x) at x= a is the righthand derivative and the derivative off(x) at x= b is the left handderivative provided they exist.

  • 7/23/2019 Real Analysis Lecture ppt

    7/21

  • 7/23/2019 Real Analysis Lecture ppt

    8/21

    Chain rule of differentiation

    Theorem

    Supposef is continuous on [a, b] and is differentiable at somepointx[a, b], andg is defined on an interval which contains therange offand is differentiable at the pointf(x). If

    h(t) =g(f(t)), t[a, b],

    then h is differentiable atx, andh(x) =g(f(x))f(x).

    Find the derivative of the following functions: f(x) =c,

    f(x) =xn, f(x) =x sin( 1x

    )I{x= 0}, f(x) =x2 sin( 1x

    )I{x= 0}.

  • 7/23/2019 Real Analysis Lecture ppt

    9/21

    Local Maximum and Local Minimum

    DefinitionLet fbe a real function defined on a metric space X. Thefunction f is said to have a local maximum at a point pX, if

    >0 such that f(q)

    f(p)

    q

    X withd(p, q)< . (3)

    The function f is said to have a local minimumat a point pX,if (3) holds with the inequalityreplaced by.

    Theorem

    Letfbe defined on[a, b]. Iffhas a local extremum at a pointx(a, b) and iff(x) exists, then f(x) = 0.

  • 7/23/2019 Real Analysis Lecture ppt

    10/21

    Examples

    Example (Derivative can be zero at a point which is not a local

    extremum)

    f(x) =x3. Then f(x) = 3x2 exists for all xR. Atx= 0,f(x) = 0. However, f(x)> 0 for all xR \ {0}. Hence, x= 0is neither a point of local maximum nor a point of local minimum.

    Example (Derivative may not exist at a point of local maximum)

    f(x) =

    x x

  • 7/23/2019 Real Analysis Lecture ppt

    11/21

    Mean value theorem

    TheoremIff andg are continuous real functions on [a, b] which aredifferentiable in (a, b), then there is a pointx(a, b) such that

    (f(b)

    f(a))g(x) = (g(b)

    g(a))f(x).

    Corollary

    Iff is a continuous real function on [a, b] which is differentiable in(a, b), then there is a pointx(a, b) such that

    f(b) f(a) = (b a)f(x).

  • 7/23/2019 Real Analysis Lecture ppt

    12/21

    Applications

    1. Suppose you drive a car from toll booth on a toll road toanother toll booth at an average speed of70 miles per hour. Whatcan be concluded about your actual speed during the trip? Inparticular, did you exceed the 65 mile per hour speed limit?

  • 7/23/2019 Real Analysis Lecture ppt

    13/21

    Applications

    1. Suppose you drive a car from toll booth on a toll road toanother toll booth at an average speed of70 miles per hour. Whatcan be concluded about your actual speed during the trip? Inparticular, did you exceed the 65 mile per hour speed limit? Yes

    A li i

  • 7/23/2019 Real Analysis Lecture ppt

    14/21

    Applications

    1. Suppose you drive a car from toll booth on a toll road toanother toll booth at an average speed of70 miles per hour. Whatcan be concluded about your actual speed during the trip? In

    particular, did you exceed the 65 mile per hour speed limit? Yes

    2. Suppose two different functions have the same derivative. What

    can you say about the relationship between the two functions?

    A li i

  • 7/23/2019 Real Analysis Lecture ppt

    15/21

    Applications

    1. Suppose you drive a car from toll booth on a toll road toanother toll booth at an average speed of70 miles per hour. Whatcan be concluded about your actual speed during the trip? Inparticular, did you exceed the 65 mile per hour speed limit? Yes

    2. Suppose two different functions have the same derivative. Whatcan you say about the relationship between the two functions?

    Theorem

    Iff(x) =g(x) for everyx(a, b), then for some constantk,f(x) =g(x) +k for allx(a, b).

  • 7/23/2019 Real Analysis Lecture ppt

    16/21

    Theorem

    Supposef is differentiable in (a, b).

    (a) Iff

    (x)0 for allx(a, b), then f is monotonicallyincreasing.(b) Iff(x) = 0 for allx(a, b), then f is constant.(c) Iff(x)0 for allx(a, b), then f is monotonicallydecreasing.

    Fi t d i ti t t

  • 7/23/2019 Real Analysis Lecture ppt

    17/21

    First derivative test

    Theorem

    Letf : (a, b)R. Letc(a, b) such thatf is continuous atcand differentiable on some open interval containingc, exceptpossibly atc itself.

    (a) If there exists >0 such thatf

    (x)0 for allx(c , c)andf(x)0 for allx(c, c + ), thenfhas a local maximum atc.(b) If there exists >0 such thatf(x)0 for allx(c , c)andf(x)

    0 for allx

    (c, c+), then fhas a local minimum at

    c.(c) If there exists >0 such thatf(x)0 or iff(x)0 for allfor allx((c , c + ) \ {c}), thenfhas no local extremum atc.

    I t di t l th

  • 7/23/2019 Real Analysis Lecture ppt

    18/21

    Intermediate value theorem

    Theorem

    Letfbe a continuous real function on the interval [a, b]. Iff(a)< f(b) and ifc is a number such thatf(a)< c < f(b), thenthere exists a pointx(a, b) such thatf(x) =c.

    Example (Continuity is not required to assume intermediate values)

    Consider the function f satisfyingf(x) =sin(1/x) for all x >0and f(0) = 0. Then, f is discontinuous at x= 0. However, it hasthe intermediate value property.

    Theorem

    Supposef is a real differentiable function on [a, b] and supposef(a)< < f(b). Then there is a pointx(a, b) such thatf(x) =.

    Take away: A function need not be continuous to assumeintermediate values.

    Classification of discontinuities of a function

  • 7/23/2019 Real Analysis Lecture ppt

    19/21

    Classification of discontinuities of a function

    Theorem

    Letfbe a monotonic function on (a, b). Then fhas nodiscontinuities of the second kind, and the set of points of(a, b) atwhich f is discontinuous is at most countable.

    Theorem

    Iff is differentiable on [a, b], then f cannot have any simplediscontinuities on [a, b].

    Example (Function can be differentiable everywhere but thederivative need not be continuous)

    Let f(x) =x2 sin(1/x)I{x= 0}. Then

    f(x) =

    2x sin(1/x) cos(1/x) x= 0,

    0 x= 0.

    Evaluation of limits

  • 7/23/2019 Real Analysis Lecture ppt

    20/21

    Evaluation of limits

    Theorem (LHospitals rule)

    Supposef andg are real valued differentiable functions defined on(a, b) R, g(x)= 0 for allx(a, b), and for somec(a, b) andL

    Rf(x)g(x)

    L as xc.

    If limxc f(x) = limxcg(x) = 0 or are both+, then

    f(x)g(x)L as xc.

    Taylors theorem

  • 7/23/2019 Real Analysis Lecture ppt

    21/21

    Taylor s theorem

    TheoremSupposef is a real function on [a, b], n is a positive integer,f(n1) is continuous on [a, b], f(n) exists for everyt(a, b). Let, be distinct points of [a, b], and define

    P(t) =n1k=0

    f(k)()

    k! (t )k.

    Then there exists a pointx between and such that

    f() =P() +f(n)(x)

    n! ( )n.