Chapter 2 . Slopes and Ski Trails
Volume 3, Why Slopes and More Math.
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[Play
Video]80 seconds: Slope Sign Interpretation for Linear
Functions. (Appeared earlier in Why Slopes Appetizer)
Slopes of Line Segments
A tour of calculus begins. Recall how the slope to a straight line is
computed. The slope m of a straight line segment between two points (
x1, y1) and ( x2, y2) may be
calculated as follows.

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slope m =
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D y
D x
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=
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y2- y1
x2- x1
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=
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rise
run
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The point-slope formula for a line
implies
The latter says that the change D y in y
is proportional to the change in D x in x. For a
straight line segment, the slope m is a constant of proportionality between
D y = y-
y1 and D x = x- x1.
Remark. A quantity Q2 is said
to be proportional to a quantity Q1 when and only
when there is a constant k such that Q2 = k· Q1.
If a quantity Q2 is proportional to a quantity Q1
then the graph of Q2 versus Q1 is a straight line
through the origin whose slope m = k is the constant of
proportionality.
A Cross-Country Skier and Her Trail
[Play Video]
2¼ minutes: Slope Interpretation for a 2D ski hill y = f(x).
(Appeared earlier in Why Slopes Appetizer)
Meet the cross-country skier, Barbara:
She has only one ski. Alternatively, you can imagine she always travels
with both skis parallel. Travel with one ski was the way in which both
alpine and cross-country skiing began. Also meet the Jack Rabbit ski
trail y = h( x) (see below) which she skis, always in the direction
-> from left to right.5 That is, she travels in the direction
of increasing x.
5 Footnote: The slope to a curve at point can be
approximated by taking the slope of a short line segment which has one
end at the point and another end also on the curve. This approximation
should get better as the line segment gets shorter. The finite limiting
value of this approximation, should it exist, is taken to be the slope.
Before discussing this approximation any further, we will make the
improper assumption that the slope of a short ski placed on the graph
of y = f( x), or the graph of one quantity versus another, is the slope
to the graph. This will allow some exploration of why slopes are
studied.
Imagine or suppose that the hill is smooth enough, so that, at most
points, a ski can lie flat against the hill surface. The slope beneath a
foot or ski gives what should be the slope of a tangent line to the hill.
The slope of a ski can in principle be measured any time by freezing a
skier in place, or equivalently taking a photograph (snapshot) and then
measuring the slope from the photograph.6
6 footnote What happens
if Barbara goes up and over a sharp peak? As she gets to the top and
pivots from the uphill to downhill side, the slope of her ski goes from
positive to negative.
The vertical line segment in the above graph represents a jump or cliff.
The above diagram strictly speaking consists of the graph of a function y
= h( x) plus a vertical portion to represent a ski jump.
- Above the point x = a on the horizontal axis, the height above the x
axis of her ski midpoint is y = h( a). We will call h( x), the height
function.
- The height function h( x) might be measured or computed from a
formula, a map, or a graph, such as the one shown above. Or, in speaking
of a height function h( x), we could leave its values unmeasured, not
computed or unknown.
Barbara rides her ski both up and downhill. To go uphill, she may use
her ski poles with great strength or skill. As she moves, the slope m of
her one ski changes. It provides information about the hill.
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The slope m is
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For Motion
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> 0 (or positive)
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Uphill
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< 0 (or negative)
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Downhill
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= 0 (or zero)
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Horizontal
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The shorthand for the word positive is +ve. The
shorthand for negative is similarly -ve.
A Skier in Motion
Immediately below are a few snapshots of Barbara on another portion of
the skill trails and hills y = h( x). In each snapshot, the slope of the
ski is assumed to be equal to the slope of the hill at the ski midpoint.
In the diagram observe:
- At x = c, the slope m > 0 and she is moving uphill: her height is
increasing.
- At x = b, the slope m < 0 and she is moving downhill: her height
is decreasing.
- At x = a, the skier is approaching the top of the hill. What is the
sign of the ski slope before, at and after the top of this smooth hill?
Later, we will look at those points or intervals where the slope is
increasing (becoming more positive or less negative), where the slope is
decreasing (become less positive or more negative), and where the slope is
greatest, least or zero. Ski trails in which the slope varies are of
greater interest and possibly less boring than trails where the slope is
constant. Again, the study and analysis of curves y = f( x) with varying
slopes is one of the first subjects in a calculus course.
High points of bumps and hills are called maximums.
As the skier Barbara moves up a hill (or a local bump), and then down the
other side, the slope of her ski changes from positive on the uphill side
to negative on the downhill side. At the very top of hill, her ski is
horizontal and its slope is zero.7
7Footnote:
What happens if Barbara goes up and over a sharp peak? As she gets to
the top and pivots from the uphill to downhill side, the slope of her
ski goes from positive to negative.
There can be several hills, with different and varying steepness on each
side. From the slope of her ski, Barbara knows even without looking when
she crosses over the top of a hill or a bump: the slope of her ski
changes from positive to negative. The next diagram shows the sign of the
slope (of the one ski) before, at and after a high point.
Knowledge of the sign of the slope does not provide all information about
the ski trail y = h( x). In particular, unless she measures and records
the height h( a) of each hilltop, she can not say which is the highest.
Every hilltop gives a local maximum for her height. It has a height
greater than or equal to ( ³ ) all nearby
heights. A point with a height greater than or equal to ( ³ ) all other heights, is called an absolute
maximum for the portion of the trail or curve y = h( x) being
examined.
Remark (Advanced Material.) To be more precise, a point (
x0, h( x0)) is a local maximum for the
portion of a curve y = f( x) where a < x < b if
- a < x0 < b. That is,
x0 is in the interval being examined.
- There exists at least one interval (
x0- d, x0+ d)
centered at x0 such that h( x) < h(
x0) if a < x < b and
x0- d < x
< x0+ d.
These two conditions describe precisely what is meant in
talking about all nearby heights. Note that in talking about
numbers and quantities, a legalistic precision is required.
Otherwise, tacit assumptions will be made differently by different
writers and different readers.
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Definition. (Highest of the High Points). A point with height
greater than all other heights in a given portion of the trail, more
precisely not less than all other heights in the portion, is called an
absolute maximum for the portion or interval in question.
In the event of a tie, each of those points having or sharing the
greatest height is called an absolute maximum.
Low points of depressions are called minimums.
As our skier Barbara moves down the sides of a valley (or
depression) and then up the other side, the slope of her ski changes from
negative on the downhill side to positive on the uphill side.
As with high points (hill tops or maximums), several depressions or
valley bottoms may be met and crossed in following a ski trail. From the
slope of her ski, Barbara again knows even with her eyes closed when she
crosses the valley bottom: the slope of her ski changes from negative to
positive.
Note again that unless she measures and records the height h( a) of the
low points in each depression or hollow, she can not say which is the
lowest. The bottom of each depression or hollow gives a local minimum for
her height. It has a height less than or equal to all nearby heights.
According to this definition, all the points on a horizontal straight
lines are local minimums. Excluding the word equal here would yield a
strict local minimum: a height less than nearby heights. See the
previous discussion of nearby heights.
Definition. A point with a height less than or equal to (
< ) all other heights in a portion of the trail is called an
absolute minimum for the portion of the trail or curve y = h( x)
in question.
In the event of a tie, each of those points having or sharing the least
height is called an absolute minimum.
x-Dependence of Slope
[Play
Video] 1¾ minutes: Along a 2D ski trail, see how height y = f(x)
and slope m = f'(x) both depend on the horizontal coordinate x.
As Barbara, the one-ski skier, moves along a trail y = h( x), both the
height of the ski midpoint y and the slope m of the ski depend on its x
coordinate. The slope of her ski at x = a, x = b, x = c and x = 2 in the
following diagram are all different. The slope of her ski midpoint
depends on her location.
- At each point, the slope m of the ski is determined by x and the
shape of the trail y = h( x). That is, the slope depends on x and the
hill y = h( x). To signal this dependence, we write m = g( x) = h'( x).
As said before, the slope m = g( x) could be measured from a snapshot -
freeze Barbara and her ski in place. The mathematical definition of \( m
= h'(x) $ appears later.
- The slope m = g( x) depends on the shape of the hills y = h( x). The
slope when x = a is m = g( a) = h¢( a). The
slope when x = b is m = g( b) = h¢( b), and so
on.
- In most problems that you will meet or be shown, formulas for the
slope m = g( x) can usually be obtained or derived from formulas for the
height y = h( x). For each new type of function added to your knowledge,
there will be a differentiation rule to be learnt.
- For a given formula or function y = h( x), rules of differentiation
say how to obtain or derive a formula or function g( x) =
h¢( x) from a formula for height h( x).
Presumably, because of these rules for deriving or obtaining the slope m
= g( x) = h¢( x) from formulas for h( x), the
function g( x) = h¢( x) is also called the
derivative, the first derivative. Note that the use of the word
obtainable for slopes is not an accepted alternative to the term
derivative.
- There are several simple rules for calculation slope functions or
derivatives. These differentiation rules are given in the first
instance for the cases where an expression for the height function h( x)
involves polynomials, logarithms, exponentials, sines or cosines. Here
for each operation (addition, subtraction, multiplication, division and
composition) involving functions and yielding a new function or formula,
there are additional rules, all of which appear to be very simple after,
but not before, they have been mastered. Meeting and mastering these
rules requires or instills an understanding of the algebraic way of
writing and thinking. The algebraic way of writing and thinking is seen
or required here in full strength.
Notations for Slopes and Derivatives
Calculus has several expressions for the slope m of the ski or hill
function y = h( x). Some follow. \[m = g(x)=h'(x)=\frac{dy}{dx} =
lim_{\Delta x \to 0} \frac{\Delta x}{\Delta y} \] Still more may be seen.
Different notations exist because calculus was discovered and employed by
different people in the past four or five centuries.
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For home-tutoring or -schooling, or for schools or colleges
with course content control: Secondary
Mathematics for Ages 11+, A Practical Approach.
May 2012, Composition Starting:
Pre-School and Primary Mathematics - Quantitative Skills, An
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Parent-friendly
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Calculus Starter Lessons
Calculus Lessons Elsewhere:
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How to Ace Calculus: Street Wise Guide - Mostly
Text.
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Flash
Video for Calculus Phobics
They cover basic topics in ways likely to complement your
notes, your textbooks and site material. When Goldilocks
trespassed in the house of the three bears, she found three bowls
of porridge, two not to her liking, and one just right. Different
bears have different tastes. As invited guest here and elsewhere,
if one or more explanations is not to liking, try another. It may
be better or just right.
Unsolicited Advice
Learning to do and high marks if it comes to easy is often
deceptive - light rather than deep. For that reason, students
with learning difficulties determined not to let it get in their
way may go deeper and farther than those with none. High marks,
if the come easy, may be deceptive - provide a too light and not
a deep mastery. That could have been your problem in secondary
school, one that leads to comprehension shock or difficulties in
calculus and more generally in the first year of college. Bon
Appetite.
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