2.1 Day 2 2015 Differentiability.

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Presentation transcript:

2.1 Day 2 2015 Differentiability

HWQ

Slope at any point on the graph of a function: The slope of the curve at any point is:

Slope at a specific point on the graph of a function: The slope of the curve at the point is:

Review: p velocity = slope These are often mixed up by Calculus students! average slope: slope at a point: average velocity: So are these! instantaneous velocity: If is the position function: velocity = slope p

Differentiability and Continuity The following statements summarize the relationship between continuity and differentiability. 1. If a function is differentiable at x = c, then it is continuous at x = c. So, differentiability implies continuity. 2. It is possible for a function to be continuous at x = c and not be differentiable at x = c. So, continuity does not imply differentiability.

Very Important, so we’ll say it again: If a function is differentiable at x = c, then it is continuous at x = c. Differentiability implies continuity. It is possible for a function to be continuous at x = c and not differentiable at x = c. So, continuity does not imply differentiability. Continuous functions that have sharp turns, corner points or cusps, or vertical tangents are not differentiable at that point.

Differentiability and Continuity The following alternative limit form of the derivative is useful in investigating the relationship between differentiability and continuity. The derivative of f at c is provided this limit exists (see Figure 2.10). Figure 2.10

Differentiability and Continuity Note that the existence of the limit in this alternative form requires that the one-sided limits exist and are equal. These one-sided limits are called the derivatives from the left and from the right, respectively. It follows that f is differentiable on the closed interval [a, b] if it is differentiable on (a, b) and if the derivative from the right at a and the derivative from the left at b both exist.

Differentiability and Continuity If a function is not continuous at x = c, it is also not differentiable at x = c. For instance, the greatest integer function (defined as the greatest integer less than or equal to x) is not continuous at x = 0, and so it is not differentiable at x = 0 (see Figure 2.11). Figure 2.11

Differentiability and Continuity You can verify this by observing that and Although it is true that differentiability implies continuity the converse is not true. That is, it is possible for a function to be continuous at x = c and not differentiable at x = c.

The function shown in Figure 2.12 is continuous at x = 2. Example of a function not differentiable at every point –A Graph with a Sharp Turn The function shown in Figure 2.12 is continuous at x = 2. Figure 2.12

Example of a function not differentiable at every point –A Graph with a Sharp Turn cont’d However, the one-sided limits and are not equal. So, f is not differentiable at x = 2 and the graph of f does not have a tangent line at the point (2, 0).

Example of a function not differentiable at c. For example, the function shown in Figure 2.7 has a vertical tangent line at (c, f(c)). Figure 2.7

Example: Determine whether the function is continuous at x=0.Is it differentiable there? Use to analyze the derivative at x=0. Not differentiable at x=0 Vertical tangent line

Example: Determine whether the function is differentiable at x = 2. Differentiable at x = 2 because: f(x) is continuous at x=2 and The left hand and right hand derivatives agree

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. A function will not have a derivative Where it is discontinuous Where it has a sharp turn Where it has a vertical tangent p

Recap: To be differentiable, a function must be continuous and smooth. Derivatives will fail to exist at: corner cusp discontinuity vertical tangent

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

Homework MMM pgs. 59-60 for differentiability