Week 3 Flashcards
How to determine local extrama?
- Determine f’(x)
- f’(x) = 0 = stationary point (slope has no gradient / flat)
- Determine f’‘(x)
- If f’‘(x) > 0, local minima, if f’‘(x) < 0, local maxima
- If f’‘(x) = 0, inconclusive
- If inconclusive have to do sign change test
What is the sign change test?
- Plug in values above and below stationary point
- Let a < b
if f’(a)
Difference between local and global extrema?
local - compare values near point a f(a)
global - compare ALL values to point a f(a)
Do global extrema ALWAYS exist?
No, domain is something such as R then no global extrema as there can always be a lower or higher extrema.
Can there be a global extrema AND a local extrema? Do they need to be the same?
Yes there are some situtations where there can be both.
i.e. In continous functions with closed intervals
No they do not always need to be the same.
What is a continous function?
find out
What does f’(x) tell us?
This tells us the slope of the tangent at a specific point a, f(a).
Tells us the rate of change of the function f(x).
What does f’‘(x) tell us?
This tells us the
What does f’‘(x) tell us?
This tells us the rate of change of f’(x).
If f’‘(x) > 0 then local minima, if f’‘(x) then local maxima, if f’‘(x) = 0 then inconclusive.
Where can possible extrema be found?
let f: [a, b] –> R
- boundary points (a or b, f’(x) NOT present)
- stationary points (required, candidates)
- singular points (f’(x) not present)
How to determine if f(x) is convex/concave?
If f’‘(x) >= 0 then convex
If f’‘(x) <= 0 then concave
What does convexity/concavity tell us about extrema?
If convex function, local minima is global minima
If concave, local maxima is global maxima