Max and Min Values of Functions
Understanding Maximum and Minimum Values in Functions
Maximum and Minimum Value Locations
- Definition of Maximum Value: The value of a function at point $b$ such that $f(b) \geq f(x)$ for all $x$ in the domain of the function.
- Definition of Minimum Value: The value of a function at point $a$ such that $f(a) \leq f(x)$ for all $x$ in the domain.
- Endpoints Consideration:
- Maximum or minimum values can occur at endpoint values of the function's interval (denoted as $x = a$ and $x = b$).
- Example: Minimum can occur at an endpoint, maximum at the other endpoint.
Interior Points Consideration
- Functions may exhibit maximums and minimums at points other than endpoints.
- Key Point: For a minimum to occur at a point, the values of the function at all points nearby must be greater.
- If a maximum happens at a point, values of the function must reduce toward either side of that maximum point.
Derivative and Critical Points
- Tangent Line Concept:
- At maximum or minimum points, the derivative (slope of the tangent line) must equal zero.
- If the tangent line is flat, it indicates a point where the derivative is zero.
- **Critical Points Definition: ** Places where the derivative is either zero or undefined.
- If the point is the minimum/maximum, the derivative should be:
- For Minimum: flat (zero slope)
- For Maximum: flat (zero slope)
Cases of Undefined Derivative
- A critical point may also occur where the derivative does not exist (e.g., sharp corn or cusp).
- Example: A minimum can occur at a sharp corner without an existing derivative at that point.
Summary of Points to Check for Extremes
- Endpoints: Check the values at both endpoints ($x = a$ and $x = b$).
- Flat Derivative Points: Check the points where the derivative equals zero.
- Undefined Derivative Points: Points where the derivative does not exist (e.g., cusps).
Complete List of Locations for Maximum and Minimum Values
- Maximum and minimum values occur at:
- Endpoints of the interval.
- At points within the interval where the derivative equals zero.
- At points within the interval where the derivative is undefined.
Why These Points are Sufficient for Finding Extrema
- If a point is not an endpoint and the derivative is not zero or undefined, then it cannot be a maximum or minimum.
- Argument Logic:
- If the derivative is positive, the function is increasing, thus not at maximum.
- If the derivative is negative, the function is decreasing, thus not at maximum.
- Therefore, for a maximum to occur away from endpoints, the derivative must be zero.
Practical Steps for Finding Maximums and Minimums
Identify the interval: Define a closed interval [a, b].
- Example: from $x = -2$ to $x = 4$.
Check the endpoints: Evaluate the function at the endpoints.
- For $f(-2)$, $f(4)$, evaluate specific function values.
Determine Critical Points: Find derivative.
- Example: Given $f(x) = 2x^3 - 6x^2 - 18x + 4$, compute the derivative:
- $f'(x) = 6x^2 - 12x - 18$.
- Set $f'(x) = 0$ and solve for $x$.
- Identify critical numbers:
- $x = -1$ and $x = 3$.
- Note: No points where the derivative is undefined since it's a polynomial.
- Example: Given $f(x) = 2x^3 - 6x^2 - 18x + 4$, compute the derivative:
Evaluate function at critical points: Plug back into the original function.
- Find $f(-1)$, $f(3)$ to compare with endpoints.
Determine extrema:
- Example results show:
- At $x = -1$, $f(-1) = -14$ (minimum).
- At $x = 3$, $f(3) = -50$ (note: potential maximum status).
- At endpoints, compute:
- $f(-2) = 0$
- $f(4) = -36$.
- Example results show:
Conclusion: Identify maximum and minimum found among evaluated points.
- For maximum, select highest output; for minimum, select lowest output.
- In this case:
- Maximum at $x = -1$ with value $14$.
- Minimum at $x = 3$ with value $-50$.
Summary of Techniques
- Always check endpoints, critical points (where the derivative is zero or undefined), and use calculated values to ascertain maximum and minimum values systematically.