In other words, what you expect most of the time.
Straight line is a relationship between two variables and two coefficients
that represents proportionality.
WHAT YOU HAVE TO DO IS:
to know what is the variable,
&
what is the coefficient
is the step I would like you to think now,
and from the general mathematical presentation, to move into the real life
translating the abstract algebraic world into the specific real.
This is the first step for modeling.
Correct more or less -
what is the relationship between a point and a line,
a line and a plane?
How many dimensions does a point, a line and a plane have?
but while lines present proportionality, curves are not proportional,
but something more dynamic
in the relationship of two variables.
The the question is how many types of curves do you know, and
what each type of a relationship each curve represents?
|
Quantitative Business Decisions
This blog is to communicate with my students who are or were in my Quantitative Business Decisions class at BMCC or anyone else has an interest in this subject and would like to be engaged in our discussion
Thursday, September 1, 2011
A discussion with a student starting the term
The code in Mathematica for some work and review
A review of your basic algebra
skills using Mathematica 8 is available in a related file.
It is important that you can
understand the meaning of a line.
The equation relates variable x (horizontal axis) to y (vertical axis) with a line given
by the equation:
y = a + b x
a provides the distance that the
line intersects to the vertical axis.
If a is negative then the intersection is below the origin point
(0,0),
if a is zero then it crosses the origin point (0,0), and
if a is positive then the line intersects to the vertical axis above
the origin point.
This magnitude provides the value
of y that is independent of any value of x, in other ways when b is zero.
If b is zero, the equation is reduced to y = a.
If b is positive, then the line has an upward slope.
That means that as the a increases,
so y, and the value of b, the slope of the line indicates
how x affects y. If the slope is 45o then any change of x results equal change in y.
If the slope is greater than 45o, any change of x results greater change in y, while if the slope is less than
45o, the change of x results smaller change in y.
If b is negative, then the line has a downward slope.
That implies substitution, as the
value of x increases, the value of y decreases.
Manipulate[Plot[a + b x == c, {x,
-10, 10}],
{a, -20, 20}, {b, -.01, .6}, {c,
-10, 10}]
When we move from a two dimensions to three dimensions we
have:
y = a + b x + c z
Manipulate[Plot3D[a + b x + c z ==
0, {x, -10, 10}, {z, -10, 10}],
{a, -20, 20}, {b, -5, 5}, {c, -5,
5}]
Now we do not have a line but a
surface plane.
You can play around using the
Manipulate command in Mathematica, so you can verify the change on the plane's
position when coefficients a, b, & c change.
When the dependent variable is not
in its simple (linear) form that indicates that x affects y in a proportional
way, the relationship becomes non linear, i.e. non proportional.
This meas that either the variable
x interrelates to itself, becoming x*x or x^2.
Then we have a second degree
polynomial.
y = a + b x + c x^2
Manipulate[Plot[a + b x + c x^2 ==
0, {x, -5, 5}],
{a, -20, 20}, {b, -10, 10}, {c,
-50, 50}]
In a three dimensional form we may
have a case that one variable affect the other.
Then we have the case
y = a + b x * c z => y = a +
(bc) x*z
Manipulate[Plot3D[a + b x c y == 0,
{x, -10, 10}, {y, -10, 10}],
{a, 0, 20}, {b, -5, 5}, {c, -5, 5}]
This implies that the surface
bends. The opposite type of a bend we have whenever we have a division as:
y = a + ( b x / c z )
Manipulate[Plot3D[a + b x / c y ==
0, {x, -10, 10}, {y, -10, 10}],
{a, 0, 20}, {b, -5, 5}, {c, -5, 5}]
The general case in the three
dimensional relationship is:
y = a + b x + c x^2 + d x z + e z^2
+ f z
Manipulate[Plot3D[a + b x + c x^2 +
d x y + e y^2 + f y == 0, {x, -10, 10}, {y, -10, 10}], {a, -200, 200}, {b, -50,
50}, {c, -10, 10}, {d, -100, 100}, {e, -10, 10}, {f, -50 , 50}]
Manipulate[
Plot[a + b x + c x^2 + d x^3 == 0,
{x, -1, 1}], {a, 0, 20}, {b, -10,
10}, {c, -5, 5}, {d, -20, 20}]
Manipulate[Plot[a + b x + c x^2 + d
x^3 + e x^4 == 0, {x, -1, 10}],
{a, 0, 20}, {b, -10, 10}, {c, -5,
5}, {d, -20, 20}, {e, -3, 3}]
Then you can practice to see the planes defined
on page 19 using:
Plot3D[3 x + 4 y == 18, {x, -10,
10}, {y, -20, 20}]
and
Plot3D[9 x + y == 21, {x, -10, 10},
{y, -20, 20}]
Then you can solve the system of these two
equations by:
Solve[{3 x + 4 y == 18, 9 x + y ==
21}, {x, y}]
and have its solution.
{{x -> 2, y -> 3}}
Finally, you can control the relationships as:
Manipulate[Plot[a x ^b == 0, {x,
-1, 1}], {a, -20, 20}, {b, -6, 6}]
and
Manipulate[Plot[a + b x , {x, 0,
10}], {a, 0, 20}, {b, 0, .99}]
Manipulate[Plot[a * x^b , {x, 0,
10}], {a, 0, 20}, {b, 0, .99}]
Manipulate[Plot[a * E^(-b x) , {x,
0, 10}], {a, 0, 20}, {b, 0, .99}]
Manipulate[Plot[a * (1 - E^(-b x))
, {x, 0, 10}], {a, 0, 20}, {b, 0, .99}]
Manipulate[Plot[a x ^b == 0, {x, 0,
10}], {a, 0, 20}, {b, 1, 5}]
Manipulate[Plot[a x ^b == 0, {x, 0,
10}], {a, 0, 20}, {b, -6, .99}]
If you want to indicate an influence
diagram
you may use:
LayeredGraphPlot[{"Price"
-> "Revenue", "Revenue" -> "Profit",
"Advertising" ->
"Units Sold", "Advertising" -> "Cost",
"Units Sold" ->
"Revenue", "Seasonal Factors" -> "Units Sold",
"Unit Cost" ->
"Cost of Goods", "Cost of Goods" -> "Cost",
"Sales Expence" ->
"Cost", "Overhead" -> "Cost" ,
"Cost" ->
"Profit"}, Left, VertexLabeling -> True]
Wednesday, August 31, 2011
Influence diagrams with Mathematica
http://www.youtube.com/watch?v=l6W3opbaHlc
Influence Diagrams are important because you put together the interconnections you have to deal with.
In an influence diagram you have to identify the reason and its result.
They are helpful as a first step of your analysis because you have the entire picture in its interconnectedness. The next step is to identify the specific relations of what you present in the influence diagram.
If the relationship reflects proportionality then we have linearity.
Influence Diagrams are important because you put together the interconnections you have to deal with.
In an influence diagram you have to identify the reason and its result.
They are helpful as a first step of your analysis because you have the entire picture in its interconnectedness. The next step is to identify the specific relations of what you present in the influence diagram.
If the relationship reflects proportionality then we have linearity.
The linear equation
http://www.youtube.com/watch?v=kAeJGETuc1Y
this is a first post about the linear equation.
In the old blog I have the code that allows one to make all graphs on her/his own.
Others will follow
this is a first post about the linear equation.
In the old blog I have the code that allows one to make all graphs on her/his own.
Others will follow
View a related BMCC video
http://www.youtube.com/watch?v=w1DU3Tl3bd0
This link gives our first experience working on the edge of the theory and applications using quantitative analysis in business decisions.
This link gives our first experience working on the edge of the theory and applications using quantitative analysis in business decisions.
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