Why Slopes
and
More Math
Volume 3
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| Vol 2, Three
Skills for Algebra covers many topics in algebra and
logic that students starting calculus should have mastered or will
have to master. Also includes arithmetic review problems to catch
common mistakes. A fourth skill gives a unifying theme
for high school maths. |
Content Guide Foreword Chapter Descriptions 1. Introduction Calculus Appetizer (1983) 2. Second Preview Begins 2 Skier in Motion (V) 2 The Skier (V) 2. Position Dependent (V) 3 Slope & Extrema (V) 4 Single Factor Analysis (V) 4 Two Factor (V) 4 More Factors (V) 4 With Divisors (V) 5 Maxima & Minima Tests 6 Jumps & Discontinuities 8 Review (optional) 9 On Calculus Studies 11 Slope of Slope 13 Acceleration 14 Limits & Error Control (V) 14 Limit of a Fn. 14. Limited Error Control 14 Signif. Digits 14 Cauchy Limits 14 Sequence Limits 14 Decimal Arith. 15 What is Slope (V) 15 Slope Calculation (V) 15 Slope, a Limit 15 Tangent Lines 15 Linear Approx., 15 Limits via Algebra (V) 15 Recap. PS.Chain Rule for Polys PS Chain Rule- General (V) - PS More Chain Rule (V) PS - Sign Analysis (V) 16 What is Velocity 17 What is Area 18 Integration 18 Area Calculation 18 Fn DefN, 6 Ways 19 Logs & Powers 19 Natural Log. 19 Exponential Fn. 20 What's Next 21 Add Vectors 22 Complex #'s 23 Complex #'s 23 Trig Identity 23 Proofs of. 24 Complex Logs etc
Units in Calculations:
7 Velocity 7 Varying Velocity Example 7. Velocity Calculation 7 Changing Units 7 Same Velocity Motions 10 Slopes without Units. 10 Units & Slopes 10 Units in Cost vs. Quantity 10 How Units Appear 10 Unit Elimination 10 Partial Elimination 10 Interest & Units 12 More on Units
Appendices:
Pigeon Hole Principle
Constant Difference Thm
Continuous Functions
Rational Functions
Mean Value Theorem
One Side Range Theorem
Range On One Side
Theorem
Integration
& Lipschitz
Continuity
These appendices continue the
decimal viewpoint of limits, error
control and continuity begun
in Chapter 14. The One Sided
Range Theorem is a postscript,
not in printed version.
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Chapter 6 Slopes and Vertical Shifts
The vertical shift or motion of a curve y = f(x)
adds a constant d (the displacement) to each point. It
yields a new curve y = f(x)+d. The next diagram indicates
an example.
A simple vertical shift or motion may change the
height of a skier, but not the slope of his or her skis.
Constant Difference Theorem
What can be said for sure about two functions when they have
the same slope (or derivative) everywhere? One response is
given by the following assertion.
[Constant Difference Theorem]
If the functions f1(x) and f2(x)
have the same non-infinite slope (that is, derivative) m = f¢1(x) = f¢2(x)
at every x in an interval (a,b) then the difference
is constant for a < x < b. That is, there is a
constant d such that
for every x in the interval (a,b), This number d
does not depend on x.
The proof of this assertion is given in the appendices.
Note the assertion says that there is a constant d. It
does not say how to find it. Here is an analogy: Saying
there is a needle in a haystack, does not say how to find
it. Note also the word every. If there is a point x1 in
the interval (a,b) where the slope is not defined then no
conclusions can be drawn from the Constant
Difference
theorem.
Remark. If f1(x) and f2(x) satisfy the
conditions (hypotheses) in the Constant
Difference theorem with
f2(c) = A and f1(c) = B at some point c in the interval
(a,b) then at x = c,
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d = f2(x)-f1(x) = f2(c)-f1(c) = A-B |
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This says how to compute the value of d.
Remark. Mathematical assertions and theorems which say that a
number (or limit) is not defined or does not exist actually
mean that a finite number (or finite limit)
does not exist. The vertical motion theorem given above
applies only when the common slope is finite in the
interval (a,b) of interest.
Load Flash Video
When the Constant Difference Theorem fails
404 by 408 3:36 minutes
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Different vertical displacements
over different portions of the trail are possible. The next diagram
gives examples of this. Upshifts have been made in the
topmost curve of the previous diagram.
Between a and b, between b and c and between c
and d, the two trails y = f1(x) and y = f2(x) shown
have the same slope but not the same heights. At the ski
jump and cliffs in the upper trail y = f1(x), the slope is not
defined.
Where Slopes are Not Defined
On a ski trail y = h(x), there may be a few places where
the slope is undefined or a single slope to the graph or trail
does not exist. In the following diagram, the slope is
undefined at the ski jump above the point x = a.
At sharp peaks and kinks, a short ski may pivot or
rotate while keeping in contacting with one point, the
kink or peak on the trail. So a single slope to the trail
cannot be defined there. Where the trail has some vertical jumps,
the graph ceases to be the graph of a function. The slope
is said to be undefined or not to exist here, even though
we might say it is infinite, +¥
or -.
Consider the next diagram.
At the points a,b,c,d and e, the slope function or
derivative m = h¢(x) cannot be given a single value. In general,
a single value cannot be assigned to slopes
at sharp changes in the direction of a curve
y = h(x).
The study of generalized slopes or gradients replaces the discussion
of a single slope to a point on a curve by the discussion the set of slopes to a
point on a curve. This set based discussion is too complicated to be examined
further here.
But a single
slope may sometimes be defined before and after such kinks
or sharp turns in the graph of a function.
The ski at the sharp peak is shown pivoting, that is
rotating, as the ski passes over.1 In pivoting at the peak, a ski can have many orientations
or slopes without intersecting the curve y = h(x) on either
side.
1The
slope values during this rotation form a set, the slope set. The value 0
belongs to this set.
Problem for Advanced Students. A graph with
vertical segments is not the graph of a function, but it may be
the image of a parameterized curve (x(t),y(t)) where t belongs
to some interval. Show that if (xj(t),yj(t)) are two
continuous curves parameterized by t Î [a,b], then (x1¢(t),y1¢(t)) = (x2¢(t),y2¢(t)) for all t Î (a,b)
implies there are constants d1 and d2 such that
(xj(t),yj(t)) = (xj(t),yj(t))+(d1,d2).
This problem is both a consequence and an extension, a
generalization, of the constant difference theorem just
stated. It applies to some graphs with vertical segments.
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Math How-TOs
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Algebra 4. Geometry
5 More
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Online
Volumes (orders)
1, Elements of
Reason. 1996
1A. Pattern
Based Reason 1995
1B. Math
Curriculum Notes 1996
2. Three
Skills for Algebra 1995
3 .Why.Slopes.&.More.Math.1995
Skill
& Concept
Review or Development
1. Decimal
Arith - Video Based ]
2 Fractions
3. Fractions
with Units
3. Solving
Linear Equations -
making alg easier
4. Formulas
forwards & Backwards - unifying theme for Algebra
5. Proportionality,
Back- & For-wards - theme at work.
6. Logic
- Math Free, good for precision in work & studies
7. Euclidean-Geometry
(leanly)
8. Slopes
and Lines
9. Why
Study Slopes - a context
10. Quadratics
11 Polynomials
12 Factored
Polys - a context
13 Functions
- For-& Back -wards
14 Number
Theory, Richly
15. Exponents,
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16 Calculus
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17. Real
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18
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19 Maps,
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20 Complex
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