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This deck focuses on Extreme Value Theorem Extrema Critical Points, giving you a quick way to review the definitions, rules, and examples that matter most for AP Calculus AB.
Study Extreme Value Theorem Extrema Critical Points in AP Calculus AB with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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State the Second Derivative Test.
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Use f′′(x) to determine concavity and local extrema. Evaluate second derivative at critical points.
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This deck focuses on Extreme Value Theorem Extrema Critical Points, giving you a quick way to review the definitions, rules, and examples that matter most for AP Calculus AB.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Use f′′(x) to determine concavity and local extrema. Evaluate second derivative at critical points.
Answer: Evaluate f(x) at critical points and endpoints. Check critical points and interval endpoints systematically.
Answer: The function is concave up; possible local min. Positive second derivative indicates upward concavity.
Answer: Global max at x=2; global min at x=0,4. Vertex of parabola at x=2 gives maximum.
Answer: Critical points at x=−1,1. f′(x)=x2−1=0 when x=±1.
Answer: The highest value of a function on its entire domain. Also called the absolute maximum value.
Answer: A point where f′(x)=0 or f′(x) is undefined. These are the only candidates for local extrema.
Answer: Critical points at x=−1,1. f′(x)=x2−1=0 when x=±1.
Answer: The function is concave up; possible local min. Positive second derivative indicates upward concavity.
Answer: A point higher than all nearby points. Also called a relative maximum.
Answer: Concavity and nature of local extrema. Second derivative test classifies critical point behavior.
Answer: Concavity and nature of local extrema. Second derivative test classifies critical point behavior.
Answer: Discontinuity can prevent existence of global extrema. EVT doesn't apply if function isn't continuous.
Answer: Global is on entire domain; local is on a neighborhood. Global considers entire domain; local considers neighborhoods.
Answer: Endpoints are evaluated for possible global extrema. Endpoints must be checked for global extrema.
Answer: Function must be continuous on a closed interval. Requires both continuity and a closed, bounded interval.
Answer: Local max at x=0; local min at x=2. f′(x)=3x2−6x gives critical points at x=0,2.
Answer: Global max at x=−2,2; global min at x=0. Evaluate at critical point x=0 and endpoints.
Answer: Possible inflection point; concavity change. Second derivative zero suggests possible inflection point.
Answer: The lowest value of a function on its entire domain. Also called the absolute minimum value.
Answer: Evaluate f(x) at critical points and endpoints. Check critical points and interval endpoints systematically.
Answer: To ensure global extrema exist on a closed interval. Guarantees extrema exist for optimization problems.
Answer: Compare function values at critical points and endpoints. Test all candidates to find absolute extrema.
Answer: A point lower than all nearby points. Also called a relative minimum.
Answer: Continuity ensures the existence of extrema on [a,b]. Discontinuous functions may not have global extrema.
Answer: Local max at x=0; local min at x=3. f′(x)=4x3−12x2 gives critical points at x=0,3.
Answer: Compare function values at critical points and endpoints. Test all candidates to find absolute extrema.
Answer: Use f′′(x) to determine concavity and local extrema. Evaluate second derivative at critical points.
Answer: Global max at x=0; global min at x=−1,1. Parabola opens downward with vertex at origin.
Answer: Global max at x=2; global min at x=0,4. Vertex of parabola at x=2 gives maximum.
Answer: f′(x) changes from negative to positive. Derivative changes from negative to positive.
Answer: Global max at x=2; global min at x=−2. f(−2)=−2, f(1)=−2, f(2)=2.
Answer: Global max at x=−2,2; global min at x=0. Evaluate at critical point x=0 and endpoints.
Answer: To ensure global extrema exist on a closed interval. Guarantees extrema exist for optimization problems.
Answer: The function is concave down; possible local max. Negative second derivative indicates downward concavity.
Answer: The highest value of a function on its entire domain. Also called the absolute maximum value.
Answer: Possible inflection point; concavity change. Second derivative zero suggests possible inflection point.
Answer: If a function is continuous on [a, b], it attains a global max and min. Guarantees existence of absolute extrema on closed intervals.
Answer: Critical points at x=0 and x=2. f′(x)=x2−2x=x(x−2)=0 when x=0,2.
Answer: A point where f′(x)=0 or f′(x) is undefined. These are the only candidates for local extrema.
Answer: Solve f′(x)=0 or find where f′(x) is undefined. Find where the derivative equals zero or doesn't exist.
Answer: Critical points at x=0 and x=2. f′(x)=x2−2x=x(x−2)=0 when x=0,2.
Answer: Use f′(x) sign changes to determine local extrema. Check if derivative changes sign around critical points.
Answer: Sign changes in f′(x) indicate local extrema. Sign changes in first derivative locate extrema.
Answer: Continuity ensures the existence of extrema on [a,b]. Discontinuous functions may not have global extrema.
Answer: f′(x)=0 or f′(x) is undefined. Critical points are necessary but not sufficient conditions.
Answer: The lowest value of a function on its entire domain. Also called the absolute minimum value.
Answer: No critical points; f′(x) never zero. f′(x)=−x21 is never zero, always negative.
Answer: Solve f′(x)=0 or find where f′(x) is undefined. Find where the derivative equals zero or doesn't exist.
Answer: Global is on entire domain; local is on a neighborhood. Global considers entire domain; local considers neighborhoods.
Answer: A point higher than all nearby points. Also called a relative maximum.
Answer: Potential locations of local extrema. Only at critical points can local extrema occur.
Answer: Critical point at x=2. f′(x)=2x−4=0 when x=2.
Answer: A point lower than all nearby points. Also called a relative minimum.
Answer: Endpoints are evaluated for possible global extrema. Endpoints must be checked for global extrema.
Answer: The function is concave down; possible local max. Negative second derivative indicates downward concavity.
Answer: Use f′(x) sign changes to determine local extrema. Check if derivative changes sign around critical points.
Answer: Function must be continuous on a closed interval. Requires both continuity and a closed, bounded interval.
Answer: If a function is continuous on [a, b], it attains a global max and min. Guarantees existence of absolute extrema on closed intervals.
Answer: Critical point at x=−23. f′(x)=2x+3=0 when x=−23.
Answer: Sign changes in f′(x) indicate local extrema. Sign changes in first derivative locate extrema.
Answer: Local min at x=2. f′(x)=x−2=0 when x=2.
Answer: Critical point at x=2. f′(x)=2x−4=0 when x=2.
Answer: Local max at x=0; local min at x=3. f′(x)=4x3−12x2 gives critical points at x=0,3.
Answer: Global max at x=2; global min at x=−2. f(−2)=−2, f(1)=−2, f(2)=2.
Answer: No critical points; f′(x) never zero. f′(x)=−x21 is never zero, always negative.
Answer: f′(x) changes from negative to positive. Derivative changes from negative to positive.
Answer: Critical point at x=−23. f′(x)=2x+3=0 when x=−23.
Answer: Local min at x=2. f′(x)=x−2=0 when x=2.
Answer: f′(x) changes from positive to negative. Derivative changes from positive to negative.
Answer: f′(x)=0 or f′(x) is undefined. Critical points are necessary but not sufficient conditions.
Answer: Potential locations of local extrema. Only at critical points can local extrema occur.
Answer: Local max at x=0; local min at x=2. f′(x)=3x2−6x gives critical points at x=0,2.
Answer: Discontinuity can prevent existence of global extrema. EVT doesn't apply if function isn't continuous.
Answer: f′(x) changes from positive to negative. Derivative changes from positive to negative.
Answer: Global max at x=0; global min at x=−1,1. Parabola opens downward with vertex at origin.