(a) Estimate f (2) using the values of f in the table. (b) For what values of x does f (x) appear to be positive? Negative?
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1
A LIBRARY OF FUNCTIONS
1.1
FUNCTIONS AND CHANGE
1.2
EXPONENTIAL FUNCTIONS
1.3
NEW FUNCTIONS FROM OLD
1.4
LOGARITHMIC FUNCTIONS
1.5
TRIGONOMETRIC FUNCTIONS
1.6
POWERS, POLYNOMIALS, AND RATIONAL FUNCTIONS
1.7
INTRODUCTION TO CONTINUITY
1.8
LIMITS
2
KEY CONCEPT: THE DERIVATIVE
2.1
HOW DO WE MEASURE SPEED?
2.2
THE DERIVATIVE AT A POINT
2.3
THE DERIVATIVE FUNCTION
2.4
INTERPRETATIONS OF THE DERIVATIVE
2.5
THE SECOND DERIVATIVE
2.6
DIFFERENTIABILITY
3
SHORT-CUTS TO DIFFERENTIATION
3.1
POWERS AND POLYNOMIALS
3.10
THEOREMS ABOUT DIFFERENTIABLE FUNCTIONS
3.2
THE EXPONENTIAL FUNCTION
3.3
THE PRODUCT AND QUOTIENT RULES
3.4
THE CHAIN RULE
3.5
THE TRIGONOMETRIC FUNCTIONS
3.6
THE CHAIN RULE AND INVERSE FUNCTIONS
3.7
IMPLICIT FUNCTIONS
3.8
HYPERBOLIC FUNCTIONS
3.9
LINEAR APPROXIMATION AND THE DERIVATIVE
4
USING THE DERIVATIVE
4.1
USING FIRST AND SECOND DERIVATIVES
4.2
OPTIMIZATION
4.3
OPTIMIZATION AND MODELING
4.4
FAMILIES OF FUNCTIONS AND MODELING
4.5
APPLICATIONS TO MARGINALITY
4.6
RATES AND RELATED RATES
4.7
LHOPITALS RULE, GROWTH, AND DOMINANCE
4.8
PARAMETRIC EQUATIONS
5
KEY CONCEPT: THE DEFINITE INTEGRAL
5.1
HOW DO WE MEASURE DISTANCE TRAVELED?
5.2
THE DEFINITE INTEGRAL
5.3
THE FUNDAMENTAL THEOREM AND INTERPRETATIONS
5.4
THEOREMS ABOUT DEFINITE INTEGRALS
6
CONSTRUCTING ANTIDERIVATIVES
6.1
ANTIDERIVATIVES GRAPHICALLY AND NUMERICALLY
6.2
CONSTRUCTING ANTIDERIVATIVES ANALYTICALLY
6.3
DIFFERENTIAL EQUATIONS AND MOTION
6.4
SECOND FUNDAMENTAL THEOREM OF CALCULUS
7
INTEGRATION
7.1
INTEGRATION BY SUBSTITUTION
7.2
INTEGRATION BY PARTS
7.3
TABLES OF INTEGRALS
7.4
ALGEBRAIC IDENTITIES AND TRIGONOMETRIC SUBSTITUTIONS
7.5
NUMERICAL METHODS FOR DEFINITE INTEGRALS
7.6
IMPROPER INTEGRALS
7.7
COMPARISON OF IMPROPER INTEGRALS
8
USING THE DEFINITE INTEGRAL
8.1
AREAS AND VOLUMES
8.2
APPLICATIONS TO GEOMETRY
8.3
AREA AND ARC LENGTH IN POLAR COORDINATES
8.4
DENSITY AND CENTER OF MASS
8.5
APPLICATIONS TO PHYSICS
8.6
APPLICATIONS TO ECONOMICS
8.7
DISTRIBUTION FUNCTIONS
8.8
PROBABILITY, MEAN, AND MEDIAN
9
SEQUENCES AND SERIES
9.1
SEQUENCES
9.2
GEOMETRIC SERIES
9.3
CONVERGENCE OF SERIES
9.4
TESTS FOR CONVERGENCE
9.5
POWER SERIES AND INTERVAL OF CONVERGENCE
10
APPROXIMATING FUNCTIONS USING SERIES
10.1
TAYLOR POLYNOMIALS
10.2
TAYLOR SERIES
10.3
FINDING AND USING TAYLOR SERIES
10.4
THE ERROR IN TAYLOR POLYNOMIAL APPROXIMATIONS
10.5
FOURIER SERIES
11
DIFFERENTIAL EQUATIONS
11.1
WHAT IS A DIFFERENTIAL EQUATION?
11.2
SLOPE FIELDS
11.3
EULERS METHOD
11.4
SEPARATION OF VARIABLES
11.5
GROWTH AND DECAY
11.6
APPLICATIONS AND MODELING
11.7
THE LOGISTIC MODEL
11.8
SYSTEMS OF DIFFERENTIAL EQUATIONS
11.9
ANALYZING THE PHASE PLANE
12
FUNCTIONS OF SEVERAL VARIABLES
12.1
FUNCTIONS OF TWO VARIABLES
12.2
GRAPHS AND SURFACES
12.3
CONTOUR DIAGRAMS
12.4
LINEAR FUNCTIONS
12.5
FUNCTIONS OF THREE VARIABLES
12.6
LIMITS AND CONTINUITY
13
A FUNDAMENTAL TOOL: VECTORS
13.1
DISPLACEMENT VECTORS
13.2
VECTORS IN GENERAL
13.3
THE DOT PRODUCT
13.4
THE CROSS PRODUCT
14
DIFFERENTIATING FUNCTIONS OF SEVERAL VARIABLES
14.1
THE PARTIAL DERIVATIVE
14.2
COMPUTING PARTIAL DERIVATIVES ALGEBRAICALLY
14.3
LOCAL LINEARITY AND THE DIFFERENTIAL
14.4
GRADIENTS AND DIRECTIONAL DERIVATIVES IN THE PLANE
14.5
GRADIENTS AND DIRECTIONAL DERIVATIVES IN SPACE
14.6
THE CHAIN RULE
14.7
SECOND-ORDER PARTIAL DERIVATIVES
14.8
DIFFERENTIABILITY
15
OPTIMIZATION: LOCAL AND GLOBAL EXTREMA
15.1
CRITICAL POINTS: LOCAL EXTREMA AND SADDLE POINTS
15.2
OPTIMIZATION
15.3
CONSTRAINED OPTIMIZATION: LAGRANGE MULTIPLIERS
16
INTEGRATING FUNCTIONS OF SEVERAL VARIABLES
16.1
THE DEFINITE INTEGRAL OF A FUNCTION OF TWO VARIABLES
16.2
ITERATED INTEGRALS
16.3
TRIPLE INTEGRALS
16.4
DOUBLE INTEGRALS IN POLAR COORDINATES
16.5
INTEGRALS IN CYLINDRICAL AND SPHERICAL COORDINATES
16.6
APPLICATIONS OF INTEGRATION TO PROBABILITY
17
PARAMETERIZATION AND VECTOR FIELDS
17.1
PARAMETERIZED CURVES
17.2
MOTION, VELOCITY, AND ACCELERATION
17.3
VECTOR FIELDS
17.4
THE FLOW OF A VECTOR FIELD
18
LINE INTEGRALS
18.1
THE IDEA OF A LINE INTEGRAL
18.2
COMPUTING LINE INTEGRALS OVER PARAMETERIZED CURVES
18.3
GRADIENT FIELDS AND PATH-INDEPENDENT FIELDS
18.4
PATH-DEPENDENT VECTOR FIELDS AND GREENS THEOREM
19
FLUX INTEGRALS AND DIVERGENCE
19.1
THE IDEA OF A FLUX INTEGRAL
19.2
FLUX INTEGRALS FOR GRAPHS, CYLINDERS, AND SPHERES
19.3
THE DIVERGENCE OF A VECTOR FIELD
19.4
THE DIVERGENCE THEOREM
20
THE CURL AND STOKES THEOREM
20.1
THE CURL OF A VECTOR FIELD
20.2
STOKES THEOREM
20.3
THE THREE FUNDAMENTAL THEOREMS
21
PARAMETERS, COORDINATES, AND INTEGRALS
21.1
COORDINATES AND PARAMETERIZED SURFACES
21.2
CHANGE OF COORDINATES IN A MULTIPLE INTEGRAL
21.3
FLUX INTEGRALS OVER PARAMETERIZED SURFACES
Textbook Solutions for Calculus: Single and Multivariable
Chapter 2.3 Problem 44
Question
The derivative of f is the spike function in Figure 2.36.What can you say about the graph of f?
Solution
The first step in solving 2.3 problem number 44 trying to solve the problem we have to refer to the textbook question: The derivative of f is the spike function in Figure 2.36.What can you say about the graph of f?
From the textbook chapter THE DERIVATIVE FUNCTION you will find a few key concepts needed to solve this.
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full solution
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Title
Calculus: Single and Multivariable 6
Author
Deborah Hughes-Hallett, Andrew M. Gleason, William G. McCallum, Daniel E. Flath, Patti Frazer Lock, Sheldon P. Gordon, David O. Lomen, & 8 more
ISBN
9780470888612