All Flashcards
Define the Mean Value Theorem (MVT).
If a function is continuous on [a, b] and differentiable on (a, b), then there exists a c in (a, b) such that f'(c) = (f(b) - f(a))/(b - a).
Define the Extreme Value Theorem (EVT).
If a function f(x) is continuous on a closed interval [a, b], then f(x) must attain both a maximum and a minimum value on that interval.
What is a critical point of a function f(x)?
A value c in the domain of f(x) such that either f'(c) = 0 or f'(c) does not exist.
Define global (absolute) extrema.
The highest and lowest points of a function over its entire domain.
Define local (relative) extrema.
The highest and lowest points of a function over a specific subinterval of its domain.
Define concavity.
The curvature of a function at a given point; indicates whether the function is 'bending up' or 'bending down'.
Define an inflection point.
A point on a curve where the concavity changes.
Define optimization problems.
Mathematical problems that involve finding the best solution (minimum or maximum) among a set of possible solutions.
Define the first derivative test.
A method used to determine whether a function is increasing or decreasing on a specific interval by analyzing the sign of its first derivative.
Define the Candidates Test.
A method used to determine the absolute extrema of a continuous function on a closed interval by evaluating the function at critical points and endpoints.
Explain the Mean Value Theorem in simple terms.
At some point between two points on a curve, the instantaneous rate of change (derivative) equals the average rate of change (slope of the secant line).
Explain the Extreme Value Theorem in simple terms.
A continuous function on a closed interval is guaranteed to have a maximum and minimum value within that interval.
Explain how the first derivative test is used to find local extrema.
By analyzing the sign change of f'(x) around a critical point, we can determine if the point is a local max (f' changes from + to -) or local min (f' changes from - to +).
Explain how the second derivative test is used to determine concavity.
The sign of the second derivative indicates the concavity of the function. Positive means concave up, negative means concave down.
How are critical points related to local extrema?
Local extrema can only occur at critical points (where f'(x) = 0 or is undefined).
What are the conditions for applying the Mean Value Theorem?
The function must be continuous on the closed interval [a, b] and differentiable on the open interval (a, b).
What are the conditions for applying the Extreme Value Theorem?
The function must be continuous on the closed interval [a, b].
Explain how to find absolute extrema using the Candidates Test.
Evaluate the function at all critical points and endpoints within the interval. The largest value is the absolute maximum, and the smallest is the absolute minimum.
Explain the relationship between a function, its first derivative, and its second derivative.
f'(x) indicates where f(x) is increasing/decreasing. f''(x) indicates the concavity of f(x).
Explain the purpose of optimization problems.
To find the best possible solution (maximum or minimum) to a problem under given constraints.
What is the formula for the average rate of change of a function f(x) over the interval [a, b]?
What is the condition stated by the Mean Value Theorem?
for some
How do you find critical points?
Solve or find where is undefined.
How do you determine concavity using the second derivative?
implies concave up; implies concave down.
How do you find inflection points?
Solve or find where is undefined, and verify concavity changes.
What does f'(x) > 0 imply?
f(x) is increasing.
What does f'(x) < 0 imply?
f(x) is decreasing.
What does f''(x) = 0 imply?
Possible inflection point.
What does the second derivative test tell us about local extrema?
If and , then is a local minimum. If and , then is a local maximum.
What is the general approach to solving optimization problems?
- Define the objective function. 2. Identify constraints. 3. Find critical points. 4. Test for extrema.