Calculus Basics
  • Introduction
  • ▶️Limit & Continuity
    • Limit properties & Limits of Combined Functions
    • Limits at infinity
    • All types of discontinuities
  • ▶️Differential Calculus
    • Differentiability
    • Local linearity & Linear approximation
    • Basic Differential Rules
    • Chain Rule
    • Derivatives of Trig functions
    • Implicit differentiation
    • Higher Order Derivatives
    • Derivative of Inverse functions
    • Derivative of exponential functions
    • Existence Theorems
    • L'Hopital's Rule
    • Critical points
      • Extrema: Maxima & Minima
      • Concavity
      • Inflection Point
    • Second Derivative Test
    • Anti-derivative
    • Analyze Function Behaviors with Derivatives
    • Optimization
    • Applications of Derivatives
      • Motion problems
      • Planar motion
  • ▶️Integral Calculus
    • Definite Integrals
    • Antiderivatives
    • Fundamental Theorem of Calculus (FTC)
    • Basic Integral Rules
    • Calculate Integrals
    • Integration using Trig identities
    • Improper Integral
    • U-substitution → Chain Rule
    • Integrate by Parts → Product Rule
    • Partial fractions → Log Rule
    • Trig-substitutions → Trig Rule
    • Average Value of Functions
  • ▶️Differential Equations
    • Parametric Equations Differentiation
    • Separable Differential Equations
    • Specific antiderivatives
    • Polar Curve Functions (Differential Calc))
    • Logistic Growth Model
    • Slope Field
    • Euler's Method
  • ▶️Applications of definite integrals
  • ▶️Series (Calculus)
    • Infinite Seires
    • Infinite Geometric Series
    • Convergence Tests
      • nth Term Test
      • Integral Test
      • p-series Test
      • Comparison Test
      • Ratio Test
      • Root Test
      • Alternating Series Test
    • Absolute vs. Conditional Convergence
      • Error Estimation of Alternating Series
      • Error Estimation Theorem
      • Interval of Convergence
    • Power Series
      • Taylor Series
      • Maclaurin Series
      • Lagrange Error Bound
      • Finding Taylor series for a function
      • Function as a Geometric Series
      • Maclaurin Series of Common functions
      • Euler's Formula & Euler's Identity
  • Multivariable functions
    • Parametric Functions
    • Partial derivatives
    • Gradient
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On this page
  • How to identify Extrema
  • How to find Extrema
  • Increasing & Decreasing Intervals
  • Finding the trending at a point
  • Finding a decreasing or increasing interval
  • Example
  • How to find Relative Extrema
  • Example
  • How to find Absolute Extrema
  • Example
  • Example
  1. Differential Calculus
  2. Critical points

Extrema: Maxima & Minima

PreviousCritical pointsNextConcavity

Last updated 6 years ago

Extrema are one type of Critical points, which includes Maxima & Minima. And there're two types of Max and Min, Global Max & Local Max, Global Min & Local Min. We can all them Global Extrema or Local Extrema.

And actually we can call them in different ways, e.g.:

  • Global Max & Local Max or in short of glo max & loc max

  • Absolute Max & Relative Max or in short ofabs max & rel max

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How to identify Extrema

We need two kind of conditions to identify the Max or Min. Now If we have a Non-Endpoint Minimum or Maximum point at a, then it must satisfies these conditions:

  • Geometric condition: (It should be understood in a more intuitive way)

    • in the interval [a-h, a+h] there's no point above or below f(a) or

    • f'(a-h) & f'(a+h) have different sign, one negative another positive.

  • Derivative condition:

    • f'(a) = 0 or

    • f'(a) is undefined

How to find Extrema

We just need to assume f'(x) = 0 or f'(x) is undefined, and solve the equation to see what x value makes it then.

Increasing & Decreasing Intervals

We can easily tell at a point of a function, it's at the trending of increasing or decreasing, by just looking at the instantaneous slope of the point, aka. the derivate. If the derivative, the slope is positive, then it's increasing. Otherwise it's decreasing.

Finding the trending at a point

Just been said above, we assume at point a, it's value is f(a). So the slope of it is f'(a). And if f'(a) < 0, then it's decreasing; If f'(a) > 0, then it's increasing.

Finding a decreasing or increasing interval

It's just doing the same thing in the opposite way. For find a decreasing interval, we assume f'(x) < 0, and by solving the inequality equation we will get the interval.

Strategy:

  • Get Critical points.

  • Separate intervals according to critical points, undefined points and endpoints.

  • Try easy numbers in EACH intervals, to decide its TRENDING (going up/down):

    • If f'(x) > 0 then the trending of this interval is Increasing.

    • If f'(x) < 0 then the trending of this interval is Decreasing.

Example

  • Set f'(x) = 0 or undefined, get x = -2 or -1/3

  • Separate intervals to (-∞, -2, -1/3, ∞)

  • Try some easy numbers in each interval: -3, -1, 0:

How to find Relative Extrema

Remember that an Absolute extreme is also a Relative extreme.

Strategy:

  • Get Critical points.

  • Separate intervals according to critical points, undefined points and endpoints.

  • Try easy numbers in EACH intervals, to decide its TRENDING (going up/down).

  • Decide each critical point is Max, Min or Not Extreme.

Example

  • Set f'(x)=0 or undefined, get x=0 or -2 or 1

  • Separate intervals to (-∞, -2, 0, 1, ∞)

  • Try easy number in each interval: -3, -1, 0.5, 2 and get the trendings:

  • Identify critical points' concavity:

How to find Absolute Extrema

Strategy:

  • Find all Relative extrema

    • Get Critical points.

    • Separate intervals according to critical points & endpoints.

    • Try easy numbers in EACH intervals, to decide its TRENDING (going up/down).

    • Decide each critical point is Max, Min or Not Extreme.

  • Input all the extreme point into original function f(x) and get extreme value.

Example

  • Set g'(x) = 0 or undefined get x=0

  • Separate intervals to [-2, 0, 3] according to the critical point & endpoints of the given condition.

  • Try some easy numbers of each interval -1, 2 into g'(x)

  • Get the trending of each interval: (+, +)

  • So the minimum must be the left endpoint of the given condition, which is x=-2.

Example

  • Differentiate to set f'(x)=0 and got x=0, -1, 1

  • Separate intervals to (-∞, -1, 0, 1, +∞)

  • Try some easy numbers in each interval for f'(x) and got the signs: -, +, -, +

  • According to the signs we know that -, + gives us a Relative maximum

  • But at the end it's + again, and the interval is going up to +∞, means f(x) will go infinitely high.

  • So there's NO Absolute maximum.

Solve:

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Solve:

Solve:

Solve:

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Refer to Khan academy lecture: Finding critical points
Refer to Khan lecture.
Refer to khan: Worked example: finding relative extrema
Refer to Khan Academy article: Finding relative extrema
Refer to an awesome article: Using calculus to learn more about the shapes of functions
Refer to Khan academy article: Absolute minima & maxima review
Refer to Khan academy lecture: Finding absolute extrema on a closed interval
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