1 / 13

Math Bridging Course Tutorial 3

Math Bridging Course Tutorial 3. Chris TC Wong 30/8/2012 1/9/2012. Review on Maximum and Minimum Concept. Do you know what does it mean to be bigger/smaller? Introduction to Metric: is a function satisfying some conditions: d( x,y )=0  x=y

tirza
Download Presentation

Math Bridging Course Tutorial 3

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Math Bridging Course Tutorial 3 Chris TC Wong 30/8/2012 1/9/2012

  2. Review on Maximum and Minimum Concept • Do you know what does it mean to be bigger/smaller? • Introduction to Metric: • is a function satisfying some conditions: • d(x,y)=0  x=y • The distance between two elements is zero iff they are the same thing • d(x,y)>=0 for any x,y • distance suppose to be greater than 0 • d(x,y)=d(y,x) • symmetric • d(x,y)+d(y,z)>=d(x,z) • Triangle inequality

  3. Review on Maximum and Minimum Concept • Existence of Maximum and Minimum • For this function, does global Maximum exists on… • [-5,5] • (-5,5)

  4. Extreme value theorem • If a real-valued functionf is continuous in the closed and bounded interval [a,b], then f must attain its maximum and minimum value, each at least once. That is, there exist numbers c and d in [a,b] such that: • f ( c ) <= f ( x ) < f ( d ) for any x in [a,b] • (http://en.wikipedia.org/wiki/Extreme_value_theorem)

  5. Strange things • Closed? • Bounded? • Continuous function? • V.s. • Open (Supremum and Infimum) • Unbounded (what is infinity ?) • Not continuous function (Where is the “break point”?)

  6. Assume things are nice • The function is differentiable. (Hence also continuous) • i.e. first derivative exists. • First derivative test. • Nicer : the function is twice differentiable • i.e. second derivative exists. • Second derivative test. • Very Nice : the function is “smooth” • i.e. Derivative of any order exists

  7. First derivative test • Compute by hand? • Make use of a table can speed things up • Examples:

  8. Caution : • What if the first derivative does not exist on certain point? • E.g. • Ignore the point. • (What if the first derivative does not exists on the whole interval?) • (http://en.wikipedia.org/wiki/File:WeierstrassFunction.svg) • How about boundary cases? • E.g.

  9. Algorithm • Read carefully about the function • Differentiate the function • Finding local max/min • Compute function value on Boundary points • Compute function value on non-differentiable points • Return max{f(BoundaryPts),f(non-d-able-pts),localMaxs} and min{f(BoundaryPts),f(non-d-able-pts),localMins}

  10. Second Derivative test • It is just first derivative test with extra thing done but require much more. • Same example

  11. Who cares about point of inflexion? • Second derivative only provide some clues on it. • Point of inflexion does not necessarily appears at points where f’’(x)=0 • Remember the case which f’(x) does not exists? • Consider this function : • Why brother using second derivative test? • Hint : Sometimes the modeled world just isn’t perfect. • Let us face something like this : for function

  12. Exercises • g • h • p • q

  13. Q&A

More Related