- By
**herne** - Follow User

- 125 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about ' Local Linearity' - herne

**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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

Local Linearity

- The idea is that as you zoom in on a graph at a specific point, the graph should eventually look linear.
- This linear portion approximates the tangent line to the curve at the specific point.
- Most of the functions you will encounter are "nearly linear" over very small intervals; that is most functions are locally linear.
- All functions that are differentiable at some point where x=c are well-modeled by a unique tangent line in a neighborhood of cand are thus considered locally linear.

A function is differentiable if it has a derivative everywhere in its domain. It must be continuous and smooth. Functions on closed intervals must have one-sided derivatives defined at the end points.

p

To be differentiable, a function must be continuous and smooth.

Derivatives will fail to exist at:

corner

cusp

discontinuity

vertical tangent

Differentiability vs Continuity

Theorem:

- If f is differentiable at a, then f is continuous at a.
- *The converse to this theorem is false.
- A continuous function is not necessarily differentiable.

The derivative is the slope of the original function.

The derivative is defined at the end points of a function on a closed interval.

The calculator may return an incorrect value if you evaluate a derivative at a point where the function is not differentiable.

Examples:

nDeriv(1/x,x,0) returns 1000000 on a TI-84, but -∞on a TI-89

nDeriv(abs(x),x,0) returns 0 on a TI-84, but +/-1 on a TI-89

Graphers calculate numerical derivatives by using

difference quotients (the same way you’ve been doing it).

Forward difference quotient:

Backward difference quotient:

Symmetric difference quotient:

If a and b are any two points in an interval on which f is differentiable, then takes on every value between and .

Between a and b, must take on every value between and .

Intermediate Value Theorem for Derivatives

p

Given f(x) = 2x3–3x2 – 6x+2

- Plot the derivative
- What type of function is the derivative?
- Quadratic (one degree less than f(x))

- When the derivative is 0, what is happening to the graph of the function?
- There is either a local max or local min
- At x = -1 (local max: f(x) changes from increasing to decreasing)
- At x = 2 (local min : f(x) changes from decreasing to increasing)

Let g(x) = f(x) + 5

- Graph in Y3
- Graph the derivative of g in Y4
- How does the derivative of f compare to the derivative of g?
- The derivative is the same. The vertical shift does not alter the rate of change. Thus, the derivative remains the same.

Increasing/Decreasing Test

- If f '(x) is > 0 on an interval, then f is increasing on that interval.
- If f '(x) is < 0 on an interval, then f is decreasing on that interval.

Suppose that c is a critical number of a continuous function f:

- If f ' changes from positive to negative at c, then f has a local maximum at c.
- If f ' changes from negative to positive at c, then f has a local minimum at c.
- (x = c is a critical number of the function f(x) if f ' (c) = 0 or f ' (c) does not exist.

Download Presentation

Connecting to Server..