MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points.

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MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points

Transcript of MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points.

Page 1: MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points.

MAT 213Brief Calculus

Section 4.2Relative and Absolute Extreme Points

Page 2: MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points.

• Let’s see what we remember about derivatives of a function and its graph– If f’ > 0 on an interval than f is

• Increasing

– If f’ < 0 on an interval than f is• Decreasing

– If f’(a) = 0 than f is• Neither increasing nor decreasing

• Has a horizontal tangent at a

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Use the derivative to determine where each function is increasing and where it is

decreasing. Verify by looking at the graphs.

f(x)=x2 – 4x + 7

g(x)=x3 - 3x2

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In the previous example, f(x)=x2 - 4x + 7,

the point x=2 is called a critical point because f’(2) = 0

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Critical Points

• For any function f, a point p in the domain of f where f’(p) = 0 or f’(p) is undefined is called a critical point of the function – The critical value of f is the function value, f(p)

where p is the critical point– Critical points are used to determine relative

extrema

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Relative Extrema

• f has a local (relative) maximum at x = p if f(p) is equal to or larger than all other f values near p– If p is a critical point and f’ changes from positive to

negative at p, then f has a local maximum at p

• f has a local (relative) minimum at x = p if f(p) is equal to or smaller than all other f values near p– If p is a critical point and f’ changes from negative to

positive at p, then f has a local maximum at p

• Since in the previous cases we were using the first derivative, we were using the first derivative test to check for relative extrema

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The First Derivative Test for Local Maxima and Minima

Suppose p is a critical point of a continuous function f.

If f’ changes from negative to positive at p, then f has a local minimum at p.

If f’ changes from positive to negative at p, then f has a local maximum at p.

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• Often we want to find the maximum or minimum value of a function

• This is called optimization

• Absolute (Global) Maxima and Minima– f has an absolute (or global) minimum at p if f(p)

is less than or equal to all values of f– f has a global maximum at p if f(p) is greater than

or equal to all values of f

• Absolute (or global) maxima and minima are sometimes referred to as “extrema” or “optimal values”

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• We may not always have a relative extrema and we may not always have absolute extrema

• Let’s take a look at the following graphs and identify– Relative and absolute maxima– Relative and absolute minima– Concavity– Inflection points

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• The number of Nonbusiness Chapter 11 Bankruptcies can be modeled by a cubic polynomial

• The cubic would have the following equation with the plot on the next slide

Years (Since1998)

Bankruptcies

0 981

1 731

2 722

3 745

4 894

5 966

6 935

Consider the following situation

B(t) = −12.58t3+ 134.1t2− 358.8t + 979.2

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• Where are the relative extrema in this graph?

• Where are the absolute extrema in this graph?

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• Now in the previous graph we had relative extrema, but no absolute extrema

• Recall that our model was from 1998 (or t = 0) to 2004 (or t = 6)

• Thus we must have absolute extrema between those years

• Let’s take a look at the graph from that point of view and see if we can identify any absolute extrema

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Extreme Value Theorem• If f is a continuous function on the closed

interval a ≤ x ≤ b, then f has a global maximum and a global minimum on that interval

• If f is continuous over a closed interval, we are guaranteed to have an absolute max and absolute min

• They either occur at critical points or at the endpoints

• Thus the procedure is to find all critical points of f, evaluate f at the critical points and endpoints and compare values

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• To find the absolute extrema of a continuous function on a closed interval (i.e. endpoints are included):– Compare function values at the critical points and

endpoints

• To find the absolute of a continuous function on an open interval (i.e. endpoints not included or infinite endpoint):– Find the value of the function at all critical points and

sketch the graph.– Look at the function values when x approaches the

endpoints of the interval, or approaches ±∞, when appropriate.

• Let’s try 27 from the book