Login / Register

Login to your account

Don't have an account yet? Register now!
Email *
Password *
Remember Me
  • Forgot your password?

Create an account

Fields marked with an asterisk (*) are required.
Name *
Username *
Password *
Verify password *
Email *
Verify email *
  • Physics
    • The world around you!
    • Mechanics
    • Thermal Physics
    • Waves and Optics
    • Electricity
    • Electromagnetism
    • Modern Physics
  • Chemistry
    • Matter is everything!
    • Structure of Matter
    • States of Matter
    • Chemical Reactions
    • Metals and Non-metals
    • Organic Chemistry
  • Biology
    • Wonders of the inner world!
    • Biochemistry
    • Cell Biology
    • Genetics
    • Evolutionary Biology
    • Plant Form and Function
    • Animal Form and Function
    • Human Physiology
  • Math
    • The language of science!
    • Arithmetic
    • Algebra
    • Geometry
    • Trigonometry
    • Calculus
    • Statistics
  • Practice Tests
  • Model Tests
  • The language of science!
  • Arithmetic
    • Preface
    • Number Systems
    • Fractions and Divisibility
    • Squares and Cubes
    • Ratio and Proportions
    • Commercial Arithmetic
  • Algebra
    • Preface
    • Basic Algebra
    • Higher Algebra
    • Progressions
    • Matrices
    • Sets and Relations
    • Functions and Statements
    • Permutations and Combinations
    • Vector Algebra
  • Geometry
    • Preface
    • Lines and Angles
    • Triangles
    • Polygons
    • Circles
    • Mensuration
    • Co-ordinate Geometry
    • Conic Sections
    • 3D Geometry
  • Trigonometry
    • Preface
    • Pythagorean Theorem
    • Trigonometric Ratios and Identities
    • Heights & Distances
    • Trigonometric Equations
    • Properties of Triangles
    • Inverse Trigonometric & Hyperbolic Functions
  • Calculus
    • Preface
    • Limits and Continuity
    • Differentiation
    • Graphs of Functions and Derivatives
    • Applications of Derivatives
    • Partial Differentiation
    • Integration
    • Definite Integrals
    • Applications of Definite Integrals
    • Differential Equations
  • Statistics
    • Preface
    • Data Analysis
    • Measures of center and dispersion
    • Probability
  • Math
  • Calculus
    • Graphs of Functions and Derivatives
      • Maxima & Minima
      • Increasing and Decreasing Functions
      • Graphs & Mean Value Theorems
  • Maxima & Minima
  • Summary
  • Worksheets
  • Exercises
  • Summary
  • ConceptMap
×

Warning

Please Login to Read More...

Hubble Space Telescope
The Hubble Space Telescope was deployed on April 24, 1990 by the space shuttle Discovery. A model for velocity of the shuttle during this mission, from liftoff at t = 0 until the solid rocket boosters were jettisoned at t = 126 sec, is given by: v(t) = 0.0013t3 – 0.09t2 + 23.6t – 3.083 (in ft/sec). Using this model, estimate the absolute maximum and minimum values of the acceleration of shuttle between liftoff and the jettisoning of the boosters.
Sol: We are asked for the extreme values not of the given velocity function, but rather of the acceleration function.
So we need to differentiate the velocity function to find the acceleration:
We now apply the closed interval method to the continuous function a on the interval 0 ≤ t ≤ 126
Its derivative is: a'(t) = 0.0078t – 0.18
The only critical no. occurs when a'(t) = 0 is:
= 23.08

Evaluating a(t) at the critical number and the endpoints, we have
a(0) = 23.6, a(23.08) = 21.52
and a(126) = 62.84
So the maximum acceleration is about 62.84 ft/s2 and the minimum acceleration is about 21.52 ft/s2.
Maxima & Minima

Absolute Extreme Values

One of the most useful things we can learn from a function's derivative is whether the function assumes any maximum or minimum value on a given interval and if it does, where these values are located. Once we know how to find a function's extreme values, we will be able to answer questions such as:
"What is the maximum acceleration of a space shuttle?"
"What is the radius of a contracted windpipe that expels air most rapidly during a cough?"

Absolute (Global) extreme values: A function f has an absolute or global maximum at 'c'
if f(c) ≥ f(x) for all 'x' in domain of the function f.
The number f(c) is called the absolute maximum value of f on its domain.
Similarly, f has an absolute or global minimum at 'c'
if f(c) ≤ f(x) for all 'x' in domain of the function f.
The number f(c) is called the absolute minimum value of f on its domain.

Together, the absolute minimum and the absolute maximum are known as the absolute (global) extrema of the function.
We often skip the term absolute or global and just say maximum and minimum values of the function.

Following figure shows the graph of a function f with absolute maximum at 'c' and absolute minimum at 'a'.
The value of f at 'a', i.e., f(a) is called the absolute minimum value and the value of f at 'c', i.e., f(c) is called the absolute maximum value of the function f.

The extreme value theorem

If the function f is continuous on a closed interval [a, b], then f attains the maximum value f(c) and the minimum value f(d) at some numbers 'c' and 'd' in the interval [a, b].

Closed interval method
To find an absolute extrema of a continuous function f on a closed interval [a, b]:

i. Find the values of f at the critical numbers [a number in the interior of the domain of a function f(x) at which = 0 or does not exist] of f in (a, b).
ii. Find the values of f at the endpoints of the interval.
iii. The largest of the values from above two steps is the absolute maximum value of f; the smallest of these values is the absolute minimum value of f.

Example

Relationship between volume of water and temperature
Between 0 °C and 25 °C, the volume V (in cm3) of 1 kg of water at a temperature T is given approx. by the formula: V = 997.77 – 0.052T + 0.0064T2 – 0.000058T3. Find the temperature at which water has its maximum density.
Sol: We know that the density is mass per unit volume.
i.e., d = (m/V)
In this case, the mass is fixed.
Therefore we are actually trying to find the minimum volume (since smaller the volume, higher the density of this water.)
Now, the extreme values are found by taking the derivative and setting to 0 and also considering the endpoints of the interval (0, 25).

V = 997.77 – 0.052T + 0.0064T2 – 0.000058T3
V' = – 0.052 + 0.0128T – 0.000174T2

By using the quadratic formula, we can find the two roots for the above equation.
The roots are 69.248 and 4.3157.

The root 69.248 is not in our range, so we ignore it.
The value of V at 4.3157 is 997.66.
This is lower than V at 0 which is 997.77.
If we evaluate a point on the other side like V at 7, we will also see that the answer at 7 is higher than V at 4.3157.
So, V(4.3157) is a relative minimum and the point where we will see the greatest density for the 1 kg of water.
Local Extreme Values

Let 'c' be an interior point of the domain of the function f.
Then f(c) is a local (relative) maximum at 'c' if and only if f(c) ≥ f(x) when 'x' is near 'c'.
This means that f(c) ≥ f(x) for all 'x' in some open interval containing 'c'.
Similarly, f(c) is a local (relative) minimum at 'c' if and only if f(c) ≤ f(x) when 'x' is near 'c'.

Together, the local (relative) minimum and the local (relative) maximum are known as the local (relative) extrema of the function.

Following figure shows the graph of a function f with local maximum at 'c' and local minimum at 'd'. The value of f at 'd', i.e., f(d) is called the local minimum value and the value of f at 'c', i.e., f(c) is called the local maximum value of the function f.

Fermat's theorem

If the function f has a local maximum or minimum at an interior point 'c' of its domain, and if exists at 'c',
then (c) = 0

From this theorem, we usually need to look at only a few points to find a function's extrema. These consist of the interior domain points where = 0 or does not exist and the domain endpoints.

In terms of critical numbers, Fermat's theorem can be rephrased as:
if the function f has a local minimum or maximum at 'c', then 'c' is a critical number of f.

Ex: Find relative extrema of the function f(x) = x3 – 3x + 6 in [–2, 3].

Sol: The graph of the function f(x) = x3 – 3x + 6 in [–2, 3] is shown in the figure below.
From the graph, we can conclude that f(–1) = 8 is a local maximum, whereas f(1) = 4 is a local minimum.

Population graph for Italian honeybees
The above figure shows a population graph for Italian honeybees raised in an apiary. How does the rate of population increase change over time? When is this rate highest? Over what intervals is P concave upward or concave downward?
Sol: By looking at the slope of the curve as t increases, we see that the rate of increase of the population is initially very small.
Then its gets larger until it reaches a maximum at about t = 6 weeks and decreases as the population begins to level off.
As the population approaches its maximum value of about 39,000 (called the carrying capacity), the rate of increase, P'(t), approaches 0.
The curve appears to be concave upward on (0, 6) and concave downward on (6, 8)
Concavity

If the graph of a function f lies above all of its tangents on an interval, then it is called the concave upward on the interval.
If the graph of a function f lies below all of its tangents on an interval, then it is called the concave downward on the interval.

Following figure shows the graph of a function f that is concave downward on the interval (a, b) and the concave upward on the interval (b, c).

Test for concavity
Let f be a twice differentiable function.
i. If (x) > 0 for all x in interval I, then the graph of f is concave upward on I.
ii. If (x) < 0 for all x in interval I, then the graph of f is concave downward on I.

MODEL TESTS
EAMCET (ENGG) JEE (MAIN) JEE (ADV) NEET

Quick Links

  • About Us
  • Ask the expert
  • Crossword
  • Contribute
  • Forums
  • Feedback
  • Themes
  • Sitemap
  • Disclaimer
  • Privacy Policy
  • T & C
  • Careers
Follow Us
Guided Tour
Get In Touch
Contact Us
support@wonderwhizkids.com
marketing@wonderwhizkids.com
Copyright © 2018 Wiki Kids Ltd.