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Student Solutions Manual for Calculus for Business, Economics, and the Social and Life Sciences, 10th Edition – Complete & Verified

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Student Solutions Manual for Calculus for Business, Economics, and the Social and Life Sciences, 10th Edition – Complete & Verified Improve your problem-solving accuracy with this comprehensive Student Solutions Manual designed to accompany the 10th Edition of Calculus for Business, Economics, and the Social and Life Sciences. This manual provides fully worked-out solutions to selected textbook exercises, helping you understand every step of the calculus methods used in business, economics, life sciences, and social science applications. Perfect for students needing clear, structured guidance, this manual breaks down each problem into simple, manageable steps, making complex calculus topics easier to learn and apply. Whether you're preparing for quizzes, midterms, or finals, this resource supports stronger comprehension and better performance. What This Solutions Manual Includes Detailed step-by-step solutions Accurate explanations for selected textbook problems Clear methods for business and economics applications Support for life science and social science calculus concepts Ideal for homework, self-study, and exam prep Topics Covered Limits & continuity Derivatives and their applications Optimization in business and economics Exponential & logarithmic functions Integrals and applied integration Functions relevant to life and social sciences Multivariable calculus basics (as covered in the text) Perfect For Business majors Economics students Social science and life science programs Anyone using the 10th Edition Calculus textbook Students seeking worked-out solutions to reinforce understanding

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Institution
Calculus
Module
Calculus

Content preview

SOLUTION MANUAL
All Chapters Included




to accompany

Calculus for Business,
Economics, and the Social
and Life Sciences
Tenth Edition, Brief

Laurence D. Hoffman
Smith Barney

Gerald L. Bradley
Claremon McKenna College




Prepared by
Devilyna Nichols
Purdue University

,TABLE OF CONTENTS

Chapter Functions, Graphs, and 1
1 Limits
1.1 Functions 1
1.2 The Graph of a Function 6
1.3 Linear Functions 14
1.4 Functional Models 19
1.5 Limits 26
1.6 One-Sided Limits and 30
Continuity
Checkup for Chapter 1 33
Review Problems 36


Chapter 2 Differentiation: Basic Concepts43
2.1 The Derivative 43
2.2 Techniques of Differentiation52
2.3 Product and Quotient Rules; Higher-Order Derivatives 57
2.4 The Chain Rule 64
2.5 Marginal Analysis; Approximations Using Increments 72
2.6 Implicit Differentiation and Related Rates75
Checkup for Chapter 2 82
Review Problems 84


Chapter 3 Additional Applications of the Derivative 93
3.1 Increasing and Decreasing Functions; Relative Extrema 93
3.2 Concavity and Points of Inflection103
3.3 Curve Sketching 114
3.4 Optimization 124
3.5 Additional Applied Optimization132
Checkup for Chapter 3 141
Review Problems 148


Chapter 4 Exponential and Logarithmic Functions159
4.1 Exponential Functions 159
4.2 Logarithmic Functions 165
4.3 Differentiation of Logarithmic and Exponential Functions 173
4.4 Additional Exponential Models182
Checkup for Chapter 4 199
Review Problems 205
iii

iv Contents

,Chapter 5 Integration 219
5.1 Antidifferentiation; the Indefinite Integral 219
5.2 Integration by Substitution 226
5.3 The Definite Integral and the Fundamental Theorem of Calculus 233
5.4 Applying Definite Integration: Area Between Curves and Average Value 238
5.5 Additional Applications to Business and Economics 245
5.6 Additional Applications to the Life and Social Sciences 252
Checkup for Chapter 5 259
Review Problems 262

Chapter 6 Additional Topics in Integration 273
6.1 Integration by Parts; Integral Tables 273
6.2 Introduction to Differential Equations 284
6.3 Improper Integrals; Continuous Probability 292
6.4 Numerical Integration 300
Checkup for Chapter 6 307
Review Problems 312

Chapter 7 Calculus of Several Variables 325
7.1 Functions of Several Variables325
7.2 Partial Derivatives 329
7.3 Optimizing Functions of Two Variables 336
7.4 The Method of Least Squares 346
7.5 Constrained Optimization: The Method of Lagrange Multipliers 353
7.6 Double Integrals 362
Checkup for Chapter 7 371
Review Problems 375

, Chapter 1

Functions, Graphs, and Limits


1.1 Functions 9. f (t) = (2t − 1)−3/2 =

1
,
( 2t − 1)3
f(x) = 3x + 5, 1
1. f (1) = √ = 1,
f (0) = 3(0) + 5 = 5 [ 2(1) − 1]3
f (−1) = 3(−1) + 5 = 2 f (5) = √ 1 = 1 =1 ,
f (2) = 3(2) + 5 = 11 [ 2(5) − 1]3 √
1 [ 9]3 27
1 1
f (13) = √ = √ = .
[ 2(13) − 1]3 [ 25]3 125
3. f(x) = 3x2 + 5x − 2, 11. f(x) = x − |x − 2|,
f (0) = 3(0) + 5(0) − 2 = −2,
2 f (1) = 1 − |1 − 2|= 1 − | − 1|= 1 − 1 = 0,
f (2) = 2 − |2 − 2|= 2 − |0|= 2,
f (−2) = 3(−2)2 + 5(−2) − 2 = 0,
f (3) = 3 − |3 − 2|= 3 − |1|= 3 − 1 = 2.
f (1) = 3(1)2 + 5(1) − 2 = 6.
13. −2x + 4 if x ≤ 1
h(x) =
x2 + 1 if x > 1
1 h(3) = (3)2 + 1 = 10
5. g(x) = x + , h(1) = −2(1) + 4 = 2
x h(0) = −2(0) + 4 = 4
1
g(−1) = −1 + = −2,
−1 h(−3) = −2(−3) + 4 = 10
1 x
g(1) = 1 + = 2, 15. g(x) .
=
1 1 + x2
g(2) = 2 1 5. Since 1 + x2 /= 0 for any real number, the domain is
+ =
2 2
the set of all real numbers.

17. f (t) = 1 − t.
7. , Since negative numbers do not have real square
h(t) = t 2 + 2t + 4,
roots, the domain is all real numbers such that
, √ 1 —t ≥ 0, or t ≤ 1. Therefore, the domain is not the
h(2) = 22 + 2(2) + 4 = 2 3,
, set of all real numbers.
2h(0) = 0
, √ x2 + 5
h(−4) = (−4) + 2(−4) + 4 = 2 3
2 19. g(x) = .
+ 2(0) + 4 = 2, x+2
1

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Institution
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