Extreme Value Theorem, Extrema, Critical Points - AP Calculus AB
- State the Second Derivative Test.
- Use to determine concavity and local extrema. Evaluate second derivative at critical points.
- Determine the global extrema of on .
- Global max at ; global min at . Vertex of parabola at gives maximum.
- Identify the critical points of .
- Critical points at . when .
- Define a critical point of a function.
- A point where or is undefined. These are the only candidates for local extrema.
- What does at a point indicate?
- The function is concave up; possible local min. Positive second derivative indicates upward concavity.
- What is a local maximum?
- A point higher than all nearby points. Also called a relative maximum.
- What is verified by the Second Derivative Test?
- Concavity and nature of local extrema. Second derivative test classifies critical point behavior.
- What is the impact of a discontinuity on EVT?
- Discontinuity can prevent existence of global extrema. EVT doesn't apply if function isn't continuous.
- Differentiate between global and local extrema.
- Global is on entire domain; local is on a neighborhood. Global considers entire domain; local considers neighborhoods.
- What role do endpoints play in finding global extrema?
- Endpoints are evaluated for possible global extrema. Endpoints must be checked for global extrema.
- What condition must be met for the EVT to apply?
- Function must be continuous on a closed interval. Requires both continuity and a closed, bounded interval.
- What function property is tested with ?
- Possible inflection point; concavity change. Second derivative zero suggests possible inflection point.
- What is a global minimum?
- The lowest value of a function on its entire domain. Also called the absolute minimum value.
- Explain how to find global extrema on a closed interval.
- Evaluate at critical points and endpoints. Check critical points and interval endpoints systematically.
- What is a local minimum?
- A point lower than all nearby points. Also called a relative minimum.
- How can you confirm a global extremum?
- Compare function values at critical points and endpoints. Test all candidates to find absolute extrema.
- Determine the global extrema of on .
- Global max at ; global min at . Parabola opens downward with vertex at origin.
- What is a sufficient condition for a local minimum?
- changes from negative to positive. Derivative changes from negative to positive.
- Identify the global extrema of on .
- Global max at ; global min at . , , .
- Determine the global extrema of on .
- Global max at ; global min at . Evaluate at critical point and endpoints.
- What is the purpose of the Extreme Value Theorem?
- To ensure global extrema exist on a closed interval. Guarantees extrema exist for optimization problems.
- What is a global maximum?
- The highest value of a function on its entire domain. Also called the absolute maximum value.
- Find critical points for .
- Critical points at and . when .
- How do you find critical points?
- Solve or find where is undefined. Find where the derivative equals zero or doesn't exist.
- State the First Derivative Test.
- Use sign changes to determine local extrema. Check if derivative changes sign around critical points.
- Why are continuous functions important in EVT?
- Continuity ensures the existence of extrema on . Discontinuous functions may not have global extrema.
- What is the significance of critical points?
- Potential locations of local extrema. Only at critical points can local extrema occur.
- What does at a point indicate?
- The function is concave down; possible local max. Negative second derivative indicates downward concavity.
- What is the Extreme Value Theorem?
- If a function is continuous on [a, b], it attains a global max and min. Guarantees existence of absolute extrema on closed intervals.
- Identify the critical points of .
- Critical point at . when .
- How does determine extrema?
- Sign changes in indicate local extrema. Sign changes in first derivative locate extrema.
- Identify the critical points of .
- Critical point at . when .
- Identify the local extrema of .
- Local max at ; local min at . gives critical points at .
- Identify the critical points of .
- No critical points; never zero. is never zero, always negative.
- Identify the local extrema of .
- Local min at . when .
- What is a necessary condition for local extrema?
- or is undefined. Critical points are necessary but not sufficient conditions.
- Determine local extrema for .
- Local max at ; local min at . gives critical points at .
- What is a sufficient condition for a local maximum?
- changes from positive to negative. Derivative changes from positive to negative.