bruce mayer, pe licensed electrical & mechanical engineer bmayer@chabotcollege
DESCRIPTION
Chabot Mathematics. §2.1 Basics of Differentiation. Bruce Mayer, PE Licensed Electrical & Mechanical Engineer [email protected]. 1.6. Review §. Any QUESTIONS About §1.6 → OneSided -Limits & Continuity Any QUESTIONS About HomeWork §1.6 → HW-06. §2.1 Learning Goals. - PowerPoint PPT PresentationTRANSCRIPT
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx1
Bruce Mayer, PE Chabot College Mathematics
Bruce Mayer, PELicensed Electrical & Mechanical Engineer
Chabot Mathematics
§2.1 Basics of
Differentiation
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx2
Bruce Mayer, PE Chabot College Mathematics
Review §
Any QUESTIONS About• §1.6 → OneSided-Limits & Continuity
Any QUESTIONS About HomeWork• §1.6 → HW-06
1.6
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx3
Bruce Mayer, PE Chabot College Mathematics
§2.1 Learning Goals Examine slopes of
tangent lines and rates of change
Define the derivative, and study its basic properties
Compute and interpret a variety of derivatives using the definition
Study the relationship between differentiability and continuity
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx4
Bruce Mayer, PE Chabot College Mathematics
Why Calculus? Calculus divides into the Solution of TWO
Main Questions/Problems1. Calculate the SLOPE
of a CURVED-Line Function-Graph at any point
2. Find the AREA under a CURVED-Line Function-Graph between any two x-values
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx5
Bruce Mayer, PE Chabot College Mathematics
Calculus Pioneers Sir Issac Newton Solved the Curved-
Line Slope Problem• See Newton’s MasterWork Philosophiae
Naturalis Principia Mathematica (Principia)– Read it for FREE:
http://archive.org/download/newtonspmathema00newtrich/newtonspmathema00newtrich.pdf
Gottfried Wilhelm von Leibniz Largely Solved the Area-Under-the-Curve Problem
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx6
Bruce Mayer, PE Chabot College Mathematics
Calculus Pioneers Newton (1642-1727) Leibniz (1646-1716)
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx7
Bruce Mayer, PE Chabot College Mathematics
Origin of Calculus The word
Calculus comes from the Greek word for PEBBLES
Pebbles were used for counting and doing simple algebra…
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx8
Bruce Mayer, PE Chabot College Mathematics
“Calculus” by Google Answers “A method of computation or calculation
in a special notation (like logic or symbolic logic). (You'll see this at the end of high school or in college.)”
“The hard deposit of mineralized plaque that forms on the crown and/or root of the tooth. Also referred to as tartar.”
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx9
Bruce Mayer, PE Chabot College Mathematics
“Calculus” by Google Answers “The branch of mathematics involving
derivatives and integrals.” “The branch of mathematics that is
concerned with limits and with the differentiation and integration of functions”
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx10
Bruce Mayer, PE Chabot College Mathematics
“Calculus” by B. Mayer Use “Regular” Mathematics (Algebra,
GeoMetry, Trigonometry) and see what happens to the Dependent quantity (usually y) when the Independent quantity (usually x) becomes one of:• Really, Really TINY
• Really, Really BIG (in Absolute Value)0
limh
xxlimorlim
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx11
Bruce Mayer, PE Chabot College Mathematics
Calculus Controversy Who was first; Leibniz or Newton?
We’ll Do DERIVATIVES First
Derivatives Integrals
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx12
Bruce Mayer, PE Chabot College Mathematics
What is a Derivative? A function itself A Mathematical Operator (d/dx) The rate of change of a function The slope of the
line tangent to the curve
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx13
Bruce Mayer, PE Chabot College Mathematics
The TANGENT Line
single pointof Interest
x
y
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Bruce Mayer, PE Chabot College Mathematics
Slope of a Secant (Chord) Line
x
y
h
Slope, m, of Secant Line (− −) = Rise/Run xhx
xfhxfxxyym
12
12
RunRise
x xfy 1
hx
hxfy 2
22 , yx
11, yx
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx15
Bruce Mayer, PE Chabot College Mathematics
Slope of a Closer Secant Line
x
y
h
xhx
xfhxfxxyym
12
12
RunRise
x xfy 1
hx
xf
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx16
Bruce Mayer, PE Chabot College Mathematics
Move x Closer & Closer
x
y
xhx
Note that distance h is getting Smaller
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Bruce Mayer, PE Chabot College Mathematics
Secant Line for Decreasing h
x
y
The slope of the secant line gets closer and closer to the slope of the tangent line...
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx18
Bruce Mayer, PE Chabot College Mathematics
Limiting Behavior The slope of the secant lines get
closer to the slope of the tangent line...
...as the values of hget closer to Zero
this Translates to…
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx19
Bruce Mayer, PE Chabot College Mathematics
The Tangent Slope Definition
The Above Equation yields the SLOPE of the CURVE at the Point-of-Interest
With a Tiny bit of Algebra
xhx
xfhxfmh
0tan lim
h
xfhxfmh
0tan lim
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx20
Bruce Mayer, PE Chabot College Mathematics
Example Parabola Slope
want the slopewhere x=2
2xy
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx21
Bruce Mayer, PE Chabot College Mathematics
Example Parabola Slope Use the Slope-Calc Definition
hxhx
hxfhxfm
hh
22
00
)(lim)()(lim
hhxh
hxhxhx
hh
)2(lim2lim0
222
0
4222)2(lim0
xhxmh
0
0
42222 xxm
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx22
Bruce Mayer, PE Chabot College Mathematics
SlopeCalc ≡ DerivativeCalc The derivative IS the slope of the line
tangent to the curve (evaluated at a given point)
The Derivative (or Slope) is a LIMIT Once you learn the rules of derivatives,
you WILL forget these limit definitions A cool site for additional explanation:
• http://archives.math.utk.edu/visual.calculus/2/
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx23
Bruce Mayer, PE Chabot College Mathematics
Delta (∆) Notation Generally in Math the Greek letter ∆
represents a Difference (subtraction) Recall the
Slope Definition See
Diagramat Right
xy
xxyy
xym
Δ
in Changein Change
RunRise
12
12
yin Change
1x 2x
x
y
1y
2y
x
y
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx24
Bruce Mayer, PE Chabot College Mathematics
Delta (∆) Notation From The Diagram
Notice that at Pt-A the Chord Slope, AB, approaches the Tangent Slope, AC, as ∆x gets smaller
Also:
Then →
yin Change
1x 2x
x
y
1y
2y
x
y
xxfxfyxfyxxx
122
11
12 11
11
12
12Δxxxxfxxf
xxyy
xymAB
0
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx25
Bruce Mayer, PE Chabot College Mathematics
∆→d Notation Thus as ∆x→0 The
Chord Slope of AB approaches the Tangent slope of AC
Mathematically
Now by Math Notation Convention:
Thus
yin Change
1x 2x
x
y
1y
2y
x
y
xymm
xABxA
00
limlim
x
xfxxfmxA
11
0lim
xfdxd
dxxdf
dxdy
xy
x
0lim
x
xfxxfdxdy
x
11
0lim
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx26
Bruce Mayer, PE Chabot College Mathematics
∆→d Notation The Difference
between ∆x & dx:• ∆x ≡ a small but
FINITE, or Calcuable, Difference
• dx ≡ an Infinitesimally small, Incalcuable, Difference
∆x is called a DIFFERENCE
dx is called a Differential
See the Diagram above for the a Geometric Comparison of • ∆x, dx, ∆y, dy
yin Change
1x 2x
x
y
1y
2y
x
y
dy
dxx
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx27
Bruce Mayer, PE Chabot College Mathematics
Derivative is SAME as Slope From a y = f(x) graph we see that the
infinitesimal change in y resulting from an infinitesimal change in x is the Slope at the point of interest. Generally:
The Quotient dy/dx is read as:“The DERIVATIVE of y with respect to x”
Thus “Derivative” and “Slope” are Synonymous
dxdym
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx28
Bruce Mayer, PE Chabot College Mathematics
d → Quantity AND Operator Depending on the
Context “d” can connote a quantity or an operator
Recall from before the example y = x2
Recall the Slope Calc
We could also “take the derivative of y = x2 with respect to x using the d/dx OPERATOR
-6 -5 -4 -3 -2 -1 0 1 2 3 4 5 60
5
10
15
20
25
30
35
40
x
y =
f(x) =
x2
MTH15 • Bruce Mayer, PE • dy/dx
XYf cnGraph6x6BlueGreenBkGndTemplate1306.m
dxdyx
hxhxm
h
2)(lim
22
0
xxdxdxf
dxdy
dxd
dxdy 22
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx29
Bruce Mayer, PE Chabot College Mathematics
d → Quantity AND Operator dy & dx (or d?) Almost
Always appears as a Quotient or Ratio
d/dx or (d/d?) acts as an OPERATOR that takes the Base-Function and “operates” on it to produce the Slope-Function; e.g.
dxdy
xy
x
0lim
xxdxd 22
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx30
Bruce Mayer, PE Chabot College Mathematics
Prime Notation Writing dy/dx takes too much work;
need a Shorthand notation By Mathematical Convention define the
“Prime” Notation as
• The “Prime” Notation is more compact• The “d” Notation is more mathematically
Versatile– I almost always recommend the “d” form
'lim)()(lim)('00
yxy
hxfhxfxf
xh
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx31
Bruce Mayer, PE Chabot College Mathematics
Average Rate of Change The average rate of
change of function f on the interval [a,b] is given by
Note that this is simply the Secant, or Chord, slope of a function between two points (x1,y1) = (a,f(a)) & (x2,y2) = (b,f(b))
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx32
Bruce Mayer, PE Chabot College Mathematics
Example Avg Rate-of-Change For f(x) = y = x2 find
the average rate of change between x = 3 (Pt-a) and x = 5 (Pt-b)
By the Chord Slope0 1 2 3 4 5 6 7
0
5
10
15
20
25
30
35
40
45
x
y =
f(x) =
x2
MTH15 • Avg Rate-of-Change
0 1 2 3 4 5 6 70
5
10
15
20
25
30
35
40
45
x
y =
f(x) =
x2
MTH15 • Avg Rate-of-Change
XYf cnGraph6x6BlueGreenBkGndTemplate1306.mXYf cnGraph6x6BlueGreenBkGndTemplate1306.m
82
163535)()( 22
xy
abafbfmavg
y
x
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx33
Bruce Mayer, PE Chabot College Mathematics
Example Avg Rate-of-Change
3 4 5
10
15
20
25
x
y =
f(x) =
x2
MTH15 • Avg Rate-of-Change
XYf cnGraph6x6BlueGreenBkGndTemplate1306.m
0 1 2 3 4 5 6 70
5
10
15
20
25
30
35
40
45
x
y =
f(x) =
x2
MTH15 • Avg Rate-of-Change
0 1 2 3 4 5 6 70
5
10
15
20
25
30
35
40
45
x
y =
f(x) =
x2
MTH15 • Avg Rate-of-Change
XYf cnGraph6x6BlueGreenBkGndTemplate1306.mXYf cnGraph6x6BlueGreenBkGndTemplate1306.m
y
xy
x
ChordSlope
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx34
Bruce Mayer, PE Chabot College Mathematics
MATLA
B C
ode% Bruce Mayer, PE% MTH-15 • 01Jul13% XY_fcn_Graph_BlueGreenBkGnd_Solid_Marker_Template1306.m%% The Limitsxmin = -3; xmax1 = 1; xmin2 = xmax1; xmax = 3; ymin = -4; ymax = 10;% The FUNCTIONx1 = linspace(xmin,xmax1,500); y1 = 1-x1.^2;x2 = linspace(xmin2,xmax,500); y2 = 3*x2+1;% The Total Function by appendingx = [x1, x2]; y = [y1, y2];% % The ZERO Lineszxh = [xmin xmax]; zyh = [0 0]; zxv = [0 0]; zyv = [ymin ymax];%% the 6x6 Plotaxes; set(gca,'FontSize',12);whitebg([0.8 1 1]); % Chg Plot BackGround to Blue-Greenplot(x1,y1,'b', x2,y2,'b', zxv,zyv, 'k', zxh,zyh, 'k', x1(end),y1(end), 'ob', 'MarkerSize', 12, 'MarkerFaceColor', 'b',... 'LineWidth', 3),axis([xmin xmax ymin ymax]),... grid, xlabel('\fontsize{14}x'), ylabel('\fontsize{14}f(x) \rightarrow PieceWise'),... title(['\fontsize{14}MTH15 • Bruce Mayer, PE • 2-Sided Limit',]),... annotation('textbox',[.51 .05 .0 .1], 'FitBoxToText', 'on', 'EdgeColor', 'none', 'String', 'XYfcnGraphBlueGreenBkGndSolidMarkerTemplate1306.m','FontSize',7)hold onplot(x2(1),y2(1), 'ob', 'MarkerSize', 12, 'MarkerFaceColor', [0.8 1 1], 'LineWidth', 3)set(gca,'XTick',[xmin:1:xmax]); set(gca,'YTick',[ymin:1:ymax])hold off
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx35
Bruce Mayer, PE Chabot College Mathematics
Slope vs. Rate-of-Change In general the Rate-
of-Change (RoC) is simply the Ratio, or Quotient, of Two quantities. Some Examples:• Pay Rate → $/hr• Speed → miles/hr• Fuel Use → miles/gal• Paper Use →
words/page
A Slope is a SPECIAL RoC where the UNITS of the Dividend and Divisor are the SAME. Example• Road Grade →
Feet-rise/Feet-run• Tax Rate →
$-Paid/$-Earned
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx36
Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice The demand for rice
in the USA in 2009 approximately followed the function
• Where– p ≡ Rice Price in
$/Ton– D ≡ Rice Demand in
MegaTons
Use this Function to:a) Find and interpret
b) Find the equation of the tangent line to D at p = 500.p
pD 100)(
500'D
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx37
Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice SOLUTIONa) Using the definition
of the derivative:
Clear fractions by multiplying by
Simplifying
• Note the Limit is Undefined at h = 0
hpDhpD
dPdD
h
)()(lim0
hpphpp
hphp
dpdD
h
100100
lim0
hpphhpp
dPdD
h
0
lim100
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[email protected] • MTH15_Lec-07_sec_2-1_Differeniatation-Basics_.pptx38
Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice Remove the UNdefinition by multiplying
by the Radical Conjugate of the Numerator: hpp
hpphpp
hpphhpp
dpdDpD
h
0
lim100'
hpphpphhphpphppp
dpdD
h
)(lim100
0
hpphpphhpD
h
0
lim100'
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice Continue the Limit Evaluation
hpphppdpdD
h
1lim1000
2/350' ppD
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice Run-Numbers to Find the Change in
DEMAND with respect to PRICE
Unit analysis for dD/dp
Finally State: for when p = 500 the Rate of Change of Rice Demand in the USA:
2/350' ppD
$Ton10
$Ton
1Ton10
Ton$Ton10
Ton$MTon 2666
dpdD
.00447.050050500' 2/3 D
$
Ton 4470$Ton 1000447.0500'
226
D
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice Thus The RoC for D w.r.t. p at p = 500:
Negative Derivative???!!! • What does this mean in the context?
Because the derivative is negative, at a unit price of $500 per ton, demand is decreasing by about 4,470 tons per $1/Ton INCREASE in unit price.
Ton$
Ton4470$
Ton 4470500'2
D
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice SOLUTIONb) Find the equation of the tangent line to
D at p = 500 The tangent line to a function f is
defined to be the line passing through the point and having a slope equal to the derivative at that point.
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice First, find the value
of D at p = 500: So we know that the tangent line
passes through the point (500, 4.47) Next, use the derivative of D for the
slope of the tangent line:
MegaTons 47.4500
100)500( D
00447.050050 2/3500
pdpdD
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Bruce Mayer, PE Chabot College Mathematics
Example Rice is Nice Finally, we use the point-slope formula
for the Eqn of a Line and simplify:
The Graph ofD(p) and theTangent Lineat p = 500 on the Same Plot:
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Bruce Mayer, PE Chabot College Mathematics
Operation vs Ratio In the Rice Problem we could easily
write D’(500) as indication we were EVALUATING the derivative at p = 500
The d notation is not so ClearCut. Are these things the SAME?
Generally They are NOT• The d/dx Operator Produces the Slope
Function, not a NUMBER• Find dy/dx at x = c DOES make a Number
dp
dDdpdD
dpdD 500500
??
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Bruce Mayer, PE Chabot College Mathematics
“Evaluated at” Notation The d/dx operator produces the Slope
Function dy/dx or df/dx; e.g.:
2x+7 is the Slope Function. It can be used to find the slope at, say, x = −5 & 4• y’(−5) = 2(−5) + 7 = −10 + 7 = −3• y’(4) = 2(4) + 7 = 8 + 7 = 5
Use Eval-At Bar to Clarify a Number-Slope when using the “d” notation
7277 22 xxxdxd
dxdf
dxdyxfy
dxdxxxfy
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Bruce Mayer, PE Chabot College Mathematics
Eval-At BAR To EVALUATE a derivative a specific
value of the Indepent Variable Use the “Evaluated-At” Vertical BAR.
Eval-At BAR Usage → Find the value of the derivative (the slope) at x = c (c is a NUMBER):
Often the “x =” is Omitted
CfdxdfCy
dxdy
cxcx
''
CfdxdfCy
dxdy
cc
''
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Example: Eval-At bar Consider the Previous
f(x) Example: Using the d notation to find the Slope
(Derivative) for x = −5 & 4
xxxfy 72
dxdyxxx
dxdy
dxd
7272
15742375245
dx
dydxdy
x
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Continuity & Smoothness We can now define a “smoothly” varying
Function A function f is differentiable at x=a if
f’(a) is defined.• e.g.; no div by zero, no sqrt of neg No.s
IF a function is differentiable at a point, then it IS continuous at that point.• Note that being continuous at a point does
NOT guarantee that the function is differentiable there.
.
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Bruce Mayer, PE Chabot College Mathematics
Continuity & Smoothness A function, f(x), is SMOOTHLY Varying
at a given point, c, If and Only If df/dx Exists and:
• That is, the Slopesare the SAME whenapproached fromEITHER side
cxcx
cxcx dx
dfKdxdf
limlim
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Bruce Mayer, PE Chabot College Mathematics
WhiteBoard Work Problem From §2.1
• P46 → DecliningMarginalProductivity
0 1 2 3 4 5 60
50
100
150
200
250
L (k-WorkerHours)
Q (k
-Uni
ts)
MTH15 • P2.1-46
XYf cnGraph6x6BlueGreenBkGndTemplate1306.m
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All Done for Today
A DifferentType of
Derivative
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Bruce Mayer, PE Chabot College Mathematics
Bruce Mayer, PELicensed Electrical & Mechanical Engineer
Chabot Mathematics
Appendix
–
srsrsr 22
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Bruce Mayer, PE Chabot College Mathematics
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P2.1-46