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calculus i guided notes baylor fall 2020 jonathan stanll february 23 2021 text single variable calculus early transcendentals 4th edition jon rogawski and colin adams the course covers limits derivatives ...

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            Calculus I Guided Notes, Baylor Fall 2020
                      Jonathan Stanfill
                      February 23, 2021
        Text: Single Variable Calculus: Early Transcendentals, 4th Edition, Jon Rogawski and
       Colin Adams
        The course covers limits, derivatives, applications of derivatives, and integration:
        Functions, Limits, and Rates of Change
        • Instantaneous Velocity and Tangent Lines [Section 2.1]
        • Investigating Limits [Section 2.2]
        • Basic Limit Laws and Continuity [Sections 2.3 and 2.4]
        • Indeterminate Forms [Section 2.5]
        • The Squeeze Theorem and Trig Limits [Section 2.6]
        • Limits at Infinity [Section 2.7]
        • Intermediate Value Theorem [Section 2.8]
        Differentiation
        • Definition of the Derivative [Section 3.1]
        • The Derivative as a Function [Section 3.2]
        • Product and Quotient Rules [Section 3.3]
        • Rates of Change [Section 3.4]
        • Higher Derivatives [Section 3.5]
        • Trigonometric Functions [Section 3.6]
        • The Chain Rule [Section 3.7]
        • Implicit Differentiation [Section 3.8]
        • Exponential and Logarithmic Functions [Section 3.9]
        • Related Rates [Section 3.10]
        Applications of the Derivative
        • Linear Approximation and Applications [Section 4.1]
        • Extreme Values [Section 4.2]
        • The Mean Value Theorem and Monotonicity [Section 4.3]
                          1
               • The Second Derivative and Concavity [Section 4.4]
               • Analyzing and Sketching Graphs of Functions [Section 4.6]
               • Applied Optimization [Section 4.7]
               Integration
               • Approximating and Computing Area and the Definite Integral [Sections 5.1 and 5.2]
               • The Indefinite Integral [Section 5.3]
               • The Fundamental Theorem of Calculus [Sections 5.4 and 5.5]
               • Net Change as the Integral of a Rate of Change [Section 5.6]
               • The Substitution Method and Further Integral Formulas [Sections 5.7 and 5.8]
            What is calculus?
               Calculus is the mathematical study of continuous change, and consists of two main
            branches, differential calculus (instantaneous rates of change or slope) and integral calculus
            (accumulation or area). This is best illustrated by comparing the types of problems you can
            solve using calculus that are extensions of problems solved in geometry and trigonometry.
               Consider the following two graphs and suppose that you were to push a box up each in-
            cline. Simple physics formulas and trigonometry allow one to calculate the calories of energy
            required to push the box up the first incline since the steepness (or slope) is unchanging,
            but that is not true for the second! Since the steepness is constantly changing for the
            curved incline, the force required to push the box is constantly changing, and things just
            became much more difficult! This is where differential calculus comes in.
                     y                                      y
                     5                                      5
                                     5   x                                   5   x
               Changing gears, what if I were to ask you what the area enclosed by the curve, the x-axis,
            and the vertical line x = 5 is? The first is once again easy using geometry (just a triangle!),
            but the second is much harder and where integral calculus will be needed.
               In either case, the main idea of calculus is to “zoom in far enough” or “split an interval
            infinitely many times” in the second graph in order for the problem to be broken up into
            problems that are really now like the first graph.
               Hopefully this shows that calculus is really much more applicable to everyday life than
            one might naively think since we constantly deal with things that change!
                                                   2
              2.1 Instantaneous Velocity and Tangent Lines
              RATES OF CHANGE
              Arate of change is always a ratio, a comparison of output and input values.
                                        change in output  ∆y y −y
                                                        ,    ,  2    1 , etc.
                                        change in input   ∆x x2−x1
              Weare very familiar with this idea in the context of slope, speed, and velocity.
              Note: Change in position is +/− based on direction, so velocity is more informative than
              speed.
                                             Distance = Rate ×Time
                                   Change in position = velocity × change in time
                Note: This only makes sense if velocity is constant!
                 But for any problem, we can talk about average velocity over a time frame. What does
              average velocity mean?
              Example 1: If a flight from Dallas to Los Angeles takes about 3 hours and covers a distance
              of 1240 miles, what is the average velocity of the plane?
                                                     change in position  ∆s    s(t ) − s(t )
                       Average velocity over [t ,t ] =                 =     =    1      0
                                             0  1     change in time     ∆t       t −t
                                                                                   1   0
                 Note: The average velocity is also the slope of the secant line, or the line that passes
              through (t ,s(t )) and (t ,s(t )).
                        0   0        1    1
                                                        3
                 Example 2: A ball dropped from a state of rest at time t = 0 travels a distance of
                             2
                 s(t) = 4.9t m in t seconds.
                   (a) How far does the ball travel during the time interval [1.5,2]?
                  (b) Compute the average velocity over [1.5,2].
                   (c) Compute the average velocity for the time intervals in the table and estimate the ball’s
                       instantaneous velocity at t = 1.5.
                                     Interval             [1.5, 1.51]   [1.5, 1.505]   [1.5, 1.501]   [1.5, 1.50001]
                            Average velocity in m/s         14.749        14.7245        14.7049        14.700049
                BUT: What if we want the velocity at a particular instant?
                 If the function is linear →
                 If the function is NOT linear →
                TANGENTLINES
                     Atangent line is a line that crosses the graph only once locally or in a neighborhood
                 that is somehow “parallel” to the given curve. We will define this more precisely next and
                 later with derivatives.
                                                                    4
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