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For many students, calculus can be the most mystifying and frustrating course they will ever take. The Calculus Lifesaver provides students with the essential tools they need not only to learn calculus, but to excel at it.

All of the material in this user-friendly study guide has been proven to get results. The book arose from Adrian Banner's popular calculus review course at Princeton University, which he developed especially for students who are motivated to earn A's but get only average grades on exams. The complete course will be available for free on the Web in a series of videotaped lectures. This study guide works as a supplement to any single-variable calculus course or textbook. Coupled with a selection of exercises, the book can also be used as a textbook in its own right. The style is informal, non-intimidating, and even entertaining, without sacrificing comprehensiveness. The author elaborates standard course material with scores of detailed examples that treat the reader to an "inner monologue"--the train of thought students should be following in order to solve the problem--providing the necessary reasoning as well as the solution. The book's emphasis is on building problem-solving skills. Examples range from easy to difficult and illustrate the in-depth presentation of theory.

The Calculus Lifesaver combines ease of use and readability with the depth of content and mathematical rigor of the best calculus textbooks. It is an indispensable volume for any student seeking to master calculus.

Serves as a companion to any single-variable calculus textbook

Informal, entertaining, and not intimidating

Informative videos that follow the book--a full forty-eight hours of Banner's Princeton calculus-review course--is available at Adrian Banner lectures

More than 475 examples (ranging from easy to hard) provide step-by-step reasoning

Theorems and methods justified and connections made to actual practice

Difficult topics such as improper integrals and infinite series covered in detail

Tried and tested by students taking freshman calculus

Adrian Banner 澳大利亚新南威尔士大学数学学士及硕士，普林斯顿大学数学博士。2002年起任职于INTECH公司，2009年担任INTECH公司首席投资官。同时在普林斯顿大学数学系任兼职教师。

TABLE OF CONTENTS:
Welcome xviii
How to Use This Book to Study for an Exam xix
Two all-purpose study tips xx
Key sections for exam review (by topic) xx
Acknowledgments xxiii
Chapter 1: Functions, Graphs, and Lines 1
1.1 Functions 1
1.1.1 Interval notation 3
1.1.2 Finding the domain 4
1.1.3 Finding the range using the graph 5
1.1.4 The vertical line test 6
1.2 Inverse Functions 7
1.2.1 The horizontal line test 8
1.2.2 Finding the inverse 9
1.2.3 Restricting the domain 9
1.2.4 Inverses of inverse functions 11
1.3 Composition of Functions 11
1.4 Odd and Even Functions 14
1.5 Graphs of Linear Functions 17
1.6 Common Functions and Graphs 19
Chapter 2: Review of Trigonometry 25
2.1 The Basics 25
2.2 Extending the Domain of Trig Functions 28
2.2.1 The ASTC method 31
2.2.2 Trig functions outside [0; 2π] 33
2.3 The Graphs of Trig Functions 35
2.4 Trig Identities 39
Chapter 3: Introduction to Limits 41
3.1 Limits: The Basic Idea 41
3.2 Left-Hand and Right-Hand Limits 43
3.3 When the Limit Does Not Exist 45
3.4 Limits at 1 and —∞ 47
3.4.1 Large numbers and small numbers 48
3.5 Two Common Misconceptions about Asymptotes 50
3.6 The Sandwich Principle 51
3.7 Summary of Basic Types of Limits 54
Chapter 4: How to Solve Limit Problems Involving Polynomials 57
4.1 Limits Involving Rational Functions as χ → αa 57
4.2 Limits Involving Square Roots as χ → α 61
4.3 Limits Involving Rational Functions as χ → ∞ 61
4.3.1 Method and examples 64
4.4 Limits Involving Poly-type Functions as χ → ∞ 66
4.5 Limits Involving Rational Functions as χ → -∞ 70
4.6 Limits Involving Absolute Values 72
Chapter 5: Continuity and Differentiability 75
5.1 Continuity 75
5.1.1 Continuity at a point 76
5.1.2 Continuity on an interval 77
5.1.3 Examples of continuous functions 77
5.1.4 The Intermediate Value Theorem 80
5.1.5 A harder IVT example 82
5.1.6 Maxima and minima of continuous functions 82
5.2 Differentiability 84
5.2.1 Average speed 84
5.2.2 Displacement and velocity 85
5.2.3 Instantaneous velocity 86
5.2.4 The graphical interpretation of velocity 87
5.2.5 Tangent lines 88
5.2.6 The derivative function 90
5.2.7 The derivative as a limiting ratio 91
5.2.8 The derivative of linear functions 93
5.2.9 Second and higher-order derivatives 94
5.2.10 When the derivative does not exist 94
5.2.11 Differentiability and continuity 96
Chapter 6: How to Solve Differentiation Problems 99
6.1 Finding Derivatives Using the Definition 99
6.2 Finding Derivatives (the Nice Way) 102
6.2.1 Constant multiples of functions 103
6.2.2 Sums and Differences of functions 103
6.2.3 Products of functions via the product rule 104
6.2.4 Quotients of functions via the quotient rule 105
6.2.5 Composition of functions via the chain rule 107
6.2.6 A nasty example 109
6.2.7 Justification of the product rule and the chain rule 111
6.3 Finding the Equation of a Tangent Line 114
6.4 Velocity and Acceleration 114
6.4.1 Constant negative acceleration 115
6.5 Limits Which Are Derivatives in Disguise 117
6.6 Derivatives of Piecewise-Defined Functions 119
6.7 Sketching Derivative Graphs Directly 123
Chapter 7: Trig Limits and Derivatives 127
7.1 Limits Involving Trig Functions 127
7.1.1 The small case 128
7.1.2 Solving problems|the small case 129
7.1.3 The large case 134
7.1.4 The "other" case 137
7.1.5 Proof of an important limit 137
7.2 Derivatives Involving Trig Functions 141
7.2.1 Examples of Differentiating trig functions 143
7.2.2 Simple harmonic motion 145
7.2.3 A curious function 146
Chapter 8: Implicit Differentiation and Related Rates 149
8.1 Implicit Differentiation 149
8.1.1 Techniques and examples 150
8.1.2 Finding the second derivative implicitly 154
8.2 Related Rates 156
8.2.1 A simple example 157
8.2.2 A slightly harder example 159
8.2.3 A much harder example 160
8.2.4 A really hard example 162
Chapter 9: Exponentials and Logarithms 167
9.1 The Basics 167
9.1.1 Review of exponentials 167
9.1.2 Review of logarithms 168
9.1.3 Logarithms, exponentials, and inverses 169
9.1.4 Log rules 170
9.2 Definition of e 173
9.2.1 A question about compound interest 173
9.2.2 The answer to our question 173
9.2.3 More about e and logs 175
9.3 Differentiation of Logs and Exponentials 177
9.3.1 Examples of Differentiating exponentials and logs 179
9.4 How to Solve Limit Problems Involving Exponentials or Logs 180
9.4.1 Limits involving the definition of e 181
9.4.2 Behavior of exponentials near 0 182
9.4.3 Behavior of logarithms near 1 183
9.4.4 Behavior of exponentials near ∞ or -∞1 184
9.4.5 Behavior of logs near ∞ 187
9.4.6 Behavior of logs near 0 188
9.5 Logarithmic Differentiation 189
9.5.1 The derivative of χa 192
9.6 Exponential Growth and Decay 193
9.6.1 Exponential growth 194
9.6.2 Exponential decay 195
9.7 Hyperbolic Functions 198
Chapter 10: Inverse Functions and Inverse Trig Functions 201
10.1 The Derivative and Inverse Functions 201
10.1.1 Using the derivative to show that an inverse exists 201
10.1.2 Derivatives and inverse functions: what can go wrong 203
10.1.3 Finding the derivative of an inverse function 204
10.1.4 A big example 206
10.2 Inverse Trig Functions 208
10.2.1 Inverse sine 208
10.2.2 Inverse cosine 211
10.2.3 Inverse tangent 213
10.2.4 Inverse secant 216
10.2.5 Inverse cosecant and inverse cotangent 217
10.2.6 Computing inverse trig functions 218
10.3 Inverse Hyperbolic Functions 220
10.3.1 The rest of the inverse hyperbolic functions 222
Chapter 11: The Derivative and Graphs 225
11.1 Extrema of Functions 225
11.1.1 Global and local extrema 225
11.1.2 The Extreme Value Theorem 227
11.1.3 How to find global maxima and minima 228
11.2 Rolle's Theorem 230
11.3 The Mean Value Theorem 233
11.3.1 Consequences of the Mean Value Theorem 235
11.4 The Second Derivative and Graphs 237
11.4.1 More about points of inection 238
11.5 Classifying Points Where the Derivative Vanishes 239
11.5.1 Using the first derivative 240
11.5.2 Using the second derivative 242
Chapter 12: Sketching Graphs 245
12.1 How to Construct a Table of Signs 245
12.1.1 Making a table of signs for the derivative 247
12.1.2 Making a table of signs for the second derivative 248
12.2 The Big Method 250
12.3 Examples 252
12.3.1 An example without using derivatives 252
12.3.2 The full method: example 1 254
12.3.3 The full method: example 2 256
12.3.4 The full method: example 3 259
12.3.5 The full method: example 4 262
Chapter 13: Optimization and Linearization 267
13.1 Optimization 267
13.1.1 An easy optimization example 267
13.1.2 Optimization problems: the general method 269
13.1.3 An optimization example 269
13.1.4 Another optimization example 271
13.1.5 Using implicit Differentiation in optimization 274
13.1.6 A difficult optimization example 275
13.2 Linearization 278
13.2.1 Linearization in general 279
13.2.2 The Differential 281
13.2.3 Linearization summary and examples 283
13.2.4 The error in our approximation 285
13.3 Newton's Method 287
Chapter 14: L'Hôpital's Rule and Overview of Limits 293
14.1 L'Hôpital's Rule 293
14.1.1 Type A: 0/0 case 294
14.1.2 Type A: ±∞ / ±∞ case 296
14.1.3 Type B1 (∞ - ∞) 298
14.1.4 Type B2 (0 x ±∞) 299
14.1.5 Type C (1±∞, 00, or ∞0) 301
14.1.6 Summary of L'Hôpital's Rule types 302
14.2 Overview of Limits 303
Chapter 15: Introduction to Integration 307
15.1 Sigma Notation 307
15.1.1 A nice sum 310
15.1.2 Telescoping series 311
15.2 Displacement and Area 314
15.2.1 Three simple cases 314
15.2.2 A more general journey 317
15.2.3 Signed area 319
15.2.4 Continuous velocity 320
15.2.5 Two special approximations 323
Chapter 16: Definite Integrals 325
16.1 The Basic Idea 325
16.1.1 Some easy examples 327
16.2 Definition of the Definite Integral 330
16.2.1 An example of using the definition 331
16.3 Properties of Definite Integrals 334
16.4 Finding Areas 339
16.4.1 Finding the unsigned area 339
16.4.2 Finding the area between two curves 342
16.4.3 Finding the area between a curve and the y-axis 344
16.5 Estimating Integrals 346
16.5.1 A simple type of estimation 347
16.6 Averages and the Mean Value Theorem for Integrals 350
16.6.1 The Mean Value Theorem for integrals 351
16.7 A Nonintegrable Function 353
Chapter 17: The Fundamental Theorems of Calculus 355
17.1 Functions Based on Integrals of Other Functions 355
17.2 The First Fundamental Theorem 358
17.2.1 Introduction to antiderivatives 361
17.3 The Second Fundamental Theorem 362
17.4 Indefinite Integrals 364
17.5 How to Solve Problems: The First Fundamental Theorem 366
17.5.1 Variation 1: variable left-hand limit of integration 367
17.5.2 Variation 2: one tricky limit of integration 367
17.5.3 Variation 3: two tricky limits of integration 369
17.5.4 Variation 4: limit is a derivative in disguise 370
17.6 How to Solve Problems: The Second Fundamental Theorem 371
17.6.1 Finding indefinite integrals 371
17.6.2 Finding definite integrals 374
17.6.3 Unsigned areas and absolute values 376
17.7 A Technical Point 380
17.8 Proof of the First Fundamental Theorem 381
Chapter 18: Techniques of Integration, Part One 383
18.1 Substitution 383
18.1.1 Substitution and definite integrals 386
18.1.2 How to decide what to substitute 389
18.1.3 Theoretical justification of the substitution method 392
18.2 Integration by Parts 393
18.2.1 Some variations 394
18.3 Partial Fractions 397
18.3.1 The algebra of partial fractions 398
18.3.2 Integrating the pieces 401
18.3.3 The method and a big example 404
Chapter 19: Techniques of Integration, Part Two 409
19.1 Integrals Involving Trig Identities 409
19.2 Integrals Involving Powers of Trig Functions 413
19.2.1 Powers of sin and/or cos 413
19.2.2 Powers of tan 415
19.2.3 Powers of sec 416
19.2.4 Powers of cot 418
19.2.5 Powers of csc 418
19.2.6 Reduction formulas 419
19.3 Integrals Involving Trig Substitutions 421
19.3.1 Type 1: 421
19.3.2 Type 2: 423
19.3.3 Type 3: 424
19.3.4 Completing the square and trig substitutions 426
19.3.5 Summary of trig substitutions 426
19.3.6 Technicalities of square roots and trig substitutions 427
19.4 Overview of Techniques of Integration 429
Chapter 20: Improper Integrals: Basic Concepts 431
20.1 Convergence and Divergence 431
20.1.1 Some examples of improper integrals 433
20.1.2 Other blow-up points 435
20.2 Integrals over Unbounded Regions 437
20.3 The Comparison Test (Theory) 439
20.4 The Limit Comparison Test (Theory) 441
20.4.1 Functions asymptotic to each other 441
20.4.2 The statement of the test 443
20.5 The p-test (Theory) 444
20.6 The Absolute Convergence Test 447
Chapter 21: Improper Integrals: How to Solve Problems 451
21.1 How to Get Started 451
21.1.1 Splitting up the integral 452
21.1.2 How to deal with negative function values 453
21.2 Summary of Integral Tests 454
21.3 Behavior of Common Functions near ∞ and -∞ 456
21.3.1 Polynomials and poly-type functions near ∞ and -∞ 456
21.3.2 Trig functions near ∞ and -∞ 459
21.3.3 Exponentials near ∞ and -∞ 461
21.3.4 Logarithms near ∞ 465
21.4 Behavior of Common Functions near 0 469
21.4.1 Polynomials and poly-type functions near 0 469
21.4.2 Trig functions near 0 470
21.4.3 Exponentials near 0 472
21.4.4 Logarithms near 0 473
21.4.5 The behavior of more general functions near 0 474
21.5 How to Deal with Problem Spots Not at 0 or ∞ 475
Chapter 22: Sequences and Series: Basic Concepts 477
22.1 Convergence and Divergence of Sequences 477
22.1.1 The connection between sequences and functions 478
22.1.2 Two important sequences 480
22.2 Convergence and Divergence of Series 481
22.2.1 Geometric series (theory) 484
22.3 The nth Term Test (Theory) 486
22.4 Properties of Both Infinite Series and Improper Integrals 487
22.4.1 The comparison test (theory) 487
22.4.2 The limit comparison test (theory) 488
22.4.3 The p-test (theory) 489
22.4.4 The absolute convergence test 490
22.5 New Tests for Series 491
22.5.1 The ratio test (theory) 492
22.5.2 The root test (theory) 493
22.5.3 The integral test (theory) 494
22.5.4 The alternating series test (theory) 497
Chapter 23: How to Solve Series Problems 501
23.1 How to Evaluate Geometric Series 502
23.2 How to Use the nth Term Test 503
23.3 How to Use the Ratio Test 504
23.4 How to Use the Root Test 508
23.5 How to Use the Integral Test 509
23.6 Comparison Test, Limit Comparison Test, and p-test 510
23.7 How to Deal with Series with Negative Terms 515
Chapter 24: Taylor Polynomials, Taylor Series, and Power Series 519
24.1 Approximations and Taylor Polynomials 519
24.1.1 Linearization revisited 520
24.1.2 Quadratic approximations 521
24.1.3 Higher-degree approximations 522
24.1.4 Taylor's Theorem 523
24.2 Power Series and Taylor Series 526
24.2.1 Power series in general 527
24.2.2 Taylor series and Maclaurin series 529
24.2.3 Convergence of Taylor series 530
24.3 A Useful Limit 534
Chapter 25: How to Solve Estimation Problems 535
25.1 Summary of Taylor Polynomials and Series 535
25.2 Finding Taylor Polynomials and Series 537
25.3 Estimation Problems Using the Error Term 540
25.3.1 First example 541
25.3.2 Second example 543
25.3.3 Third example 544
25.3.4 Fourth example 546
25.3.5 Fifth example 547
25.3.6 General techniques for estimating the error term 548
25.4 Another Technique for Estimating the Error 548
Chapter 26: Taylor and Power Series: How to Solve Problems 551
26.1 Convergence of Power Series 551
26.1.1 Radius of convergence 551
26.1.2 How to find the radius and region of convergence 554
26.2 Getting New Taylor Series from Old Ones 558
26.2.1 Substitution and Taylor series 560
26.2.2 Differentiating Taylor series 562
26.2.3 Integrating Taylor series 563
26.2.4 Adding and subtracting Taylor series 565
26.2.5 Multiplying Taylor series 566
26.2.6 Dividing Taylor series 567
26.3 Using Power and Taylor Series to Find Derivatives 568
26.4 Using Maclaurin Series to Find Limits 570
Chapter 27: Parametric Equations and Polar Coordinates 575
27.1 Parametric Equations 575
27.1.1 Derivatives of parametric equations 578
27.2 Polar Coordinates 581
27.2.1 Converting to and from polar coordinates 582
27.2.2 Sketching curves in polar coordinates 585
27.2.3 Finding tangents to polar curves 590
27.2.4 Finding areas enclosed by polar curves 591
Chapter 28: Complex Numbers 595
28.1 The Basics 595
28.1.1 Complex exponentials 598
28.2 The Complex Plane 599
28.2.1 Converting to and from polar form 601
28.3 Taking Large Powers of Complex Numbers 603
28.4 Solving zn = w 604
28.4.1 Some variations 608
28.5 Solving ez = w 610
28.6 Some Trigonometric Series 612
28.7 Euler's Identity and Power Series 615
Chapter 29: Volumes, Arc Lengths, and Surface Areas 617
29.1 Volumes of Solids of Revolution 617
29.1.1 The disc method 619
29.1.2 The shell method 620
29.1.3 Summary . . . and variations 622
29.1.4 Variation 1: regions between a curve and the y-axis 623
29.1.5 Variation 2: regions between two curves 625
29.1.6 Variation 3: axes parallel to the coordinate axes 628
29.2 Volumes of General Solids 631
29.3 Arc Lengths 637
29.3.1 Parametrization and speed 639
29.4 Surface Areas of Solids of Revolution 640
Chapter 30: Differential Equations 645
30.1 Introduction to Differential Equations 645
30.2 Separable First-order Differential Equations 646
30.3 First-order Linear Equations 648
30.3.1 Why the integrating factor works 652
30.4 Constant-coefficient Differential Equations 653
30.4.1 Solving first-order homogeneous equations 654
30.4.2 Solving second-order homogeneous equations 654
30.4.3 Why the characteristic quadratic method works 655
30.4.4 Nonhomogeneous equations and particular solutions 656
30.4.5 Finding a particular solution 658
30.4.6 Examples of finding particular solutions 660
30.4.7 Resolving conicts between yP and yH 662
30.4.8 Initial value problems (constant-coefficient linear) 663
30.5 Modeling Using Differential Equations 665
Appendix A Limits and Proofs 669
A.1 Formal Definition of a Limit 669
A.1.1 A little game 670
A.1.2 The actual definition 672
A.1.3 Examples of using the definition 672
A.2 Making New Limits from Old Ones 674
A.2.1 Sums and Differences of limits|proofs 674
A.2.2 Products of limits|proof 675
A.2.3 Quotients of limits|proof 676
A.2.4 The sandwich principle|proof 678
A.3 Other Varieties of Limits 678
A.3.1 Inffinite limits 679
A.3.2 Left-hand and right-hand limits 680
A.3.3 Limits at ∞ and -∞ 680
A.3.4 Two examples involving trig 682
A.4 Continuity and Limits 684
A.4.1 Composition of continuous functions 684
A.4.2 Proof of the Intermediate Value Theorem 686
A.4.3 Proof of the Max-Min Theorem 687
A.5 Exponentials and Logarithms Revisited 689
A.6 Differentiation and Limits 691
A.6.1 Constant multiples of functions 691
A.6.2 Sums and Differences of functions 691
A.6.3 Proof of the product rule 692
A.6.4 Proof of the quotient rule 693
A.6.5 Proof of the chain rule 693
A.6.6 Proof of the Extreme Value Theorem 694
A.6.7 Proof of Rolle's Theorem 695
A.6.8 Proof of the Mean Value Theorem 695
A.6.9 The error in linearization 696
A.6.10 Derivatives of piecewise-defined functions 697
A.6.11 Proof of L'Hôpital's Rule 698
A.7 Proof of the Taylor Approximation Theorem 700
Appendix B Estimating Integrals 703
B.1 Estimating Integrals Using Strips 703
B.1.1 Evenly spaced partitions 705
B.2 The Trapezoidal Rule 706
B.3 Simpson's Rule 709
B.3.1 Proof of Simpson's rule 710
B.4 The Error in Our Approximations 711
B.4.1 Examples of estimating the error 712
B.4.2 Proof of an error term inequality 714
List of Symbols 717
Index 719
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