ec2104 lecture 2
DESCRIPTION
NUS EC2104 Quantitative Methods for Economic AnalysisAY2015/16 Sem 1TRANSCRIPT
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Quantitative Methods for Economic AnalysisEC2104
Lecture 2August 18, 2015
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Outline
Readings: SH, Chapters 6, 7.7-7.12
Notation and Importance of Differentiation Limits Definition and Rules for Differentiation Applications: Growth Rates and Elasticities Continuity Intermediate Value Theorem
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Notation for Derivatives
Lagranges notation: Derivative of f (x) is denoted f (x). Also y for y = f (x). Higher order derivatives: f (x), f (x), f (4)(x), . . . , f (n)(x)
Leibnizs notation: Derivative of f (x) is denoted df
dx(x) or
d
dxf (x).
Also dydx
for y = f (x).
Higher order derivatives: d2f
dx2(x),
d3f
dx3(x), . . . ,
dnf
dxn(x)
Newtons notation (only used for time derivatives): Derivative of y = f (t): y Higher order derivative: y
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Importance of Differentiation
The derivative gives us a way to find the slopes of functions. This has many many uses both in and out of economics. Rate of Change Marginal Concepts
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Graphical Approach: Linear Functions
How do we find slopes? Linear functions: f (x) = ax + b.
We said the slope is a. Why? Slope is 4y4x . If we change x from x1 to x2, f (x) changes from ax1 + b to
ax2 + b. Slope is then:
f (x2) f (x1)x2 x1 =
ax2 + b ax1 bx2 x1 = a
Slope of a line is the same everywhere on the line.
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Graphical Approach:Nonlinear Functions
What about for curves? Slope of the curve changes throughout the curve. We want the slope of the curve at a particular point on the
curve.
We are going to find the slope of the line tangent to thecurve at the point.
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Nonlinear Functions
-1
0
1
2
3
4
-1 0 1 2 3 4
f(x)
x
a + ha
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Nonlinear Functions
Take two points on the function, at x values a and a + h. Draw the line connecting these two points. The slope of this line is:
f (a + h) f (a)h
Gradually reduce h, moving the connecting line. Eventually, as h approaches 0, the connecting line will
approach the tangent line.
This slope then becomes the slope of the tangent line.
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Nonlinear Functions
-1
0
1
2
3
4
-1 0 1 2 3 4
f(x)
x
a + ha
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Nonlinear Functions
-1
0
1
2
3
4
-1 0 1 2 3 4
f(x)
x
a + ha a + ha
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Definition of the Derivative
The derivative of f (x) at x = a, written as f (a), is
f (a) = limh0
f (a + h) f (a)h
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Limits
Sometimes, functions are defined around certain points, butnot necessarily defined at those points.
Limits are used to study the behavior of functions aroundthese points.
We say that L is the limit of f (x) as x approaches the value cif, as x gets close to c , f (x) gets close to L.
limxc f (x) = L
This must be true regardless of the direction you approach c . Both one-sided limits must exist and be equal for this limit to
exist.
limxc f (x) = L iff limxc+
f (x) = limxc
f (x) = L
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Examples of limits
Let H(t) ={
0, if t < 01, if t 0
limt0
H(t)
t -0.1 -0.01 -0.001 0.001 0.01 0.1H(t) 0 0 0 1 1 1
The left limit is 0 while the right limit is 1. The limit doesnot exist.
limx1
x2 1x 1
x 0.9 0.99 0.999 1.001 1.01 1.1x21x1 1.9 1.99 1.999 2.001 2.01 2.1
As x gets close to 1, x21x1 gets close to 2, but is undefined at
x = 1. The limit is 2.
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limt0
H(t)
-1
0
1
2
-1 0 1
H(t)
t
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limx1
x2 1x 1
-1
0
1
2
3
-2 -1 0 1 2
f(x)
x
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Properties of the Derivative
Power rule: If f (x) = xn, where n is a real number, thenf (x) = nxn1.
Constants: If f (x) = C , where C is a constant, thenf (x) = 0 for all values of x .
Constant multiples: If F (x) = a f (x), then F (x) = a f (x),where a is a constant.
Sums and differences: If F (x) = f (x) + g(x), thenF (x) = f (x) + g (x). Similarly,G (x) = f (x) g(x) G (x) = f (x) g (x).
Products: If F (x) = f (x) g(x), thenF (x) = f (x) g (x) + f (x) g(x).
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Self Checklist: Some Examples of Derivatives
f1(x) = 5x f2(x) =
x + 2
f3(x) = x2 + 2x 3 f4(x) = (x + 3)(2x 1) f5(x) = a0 + a1x + a2x2 + . . . + anxn
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Quotient Rule
If F (x) = f (x)g(x) , then F (x) =g(x) f (x) f (x) g (x)
(g(x))2.
Example: f6(x) = x55x2+2
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Application: Relationship between Average Cost andMarginal Cost
Show that MC exceeds Average Cost iff AC increases asoutput increases
Hint: Differentiate Average Cost wrt output
file:///C|/Users/ECSCYHW/Desktop/mc_ac.gif[16/1/2015 12:07:31 PM]
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Chain Rule
If F (x) = (f g)(x) = f (g(x)), then F (x) = f (g(x)) g (x).
Differentiate this: f7(x) = (5x2 + 1)3
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Exponential Function
If f (x) = ax where a is a constant, then f (x) = ax ln a. A special case: If f (x) = ex , then f (x) = ex .
Differentiate this: f8(x) = 5ex
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Logarithm Function
If f (x) = loga x where a is a constant, then f (x) = 1x ln a . A special case: If f (x) = ln x , then f (x) = 1x .
Differentiate this: f9(x) = ln(x)x
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Application: Growth Rates
By definition, Growth Rate of N = g = NN
=dN/dt
N
Now, prove that g = ddt
lnN(t)
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Application: Elasticities
In economics, we frequently deal with how certain variableschange in response to changes in other variables.
This is exactly how the derivative works. So, if a $1 increase in the price of a kilogram of coffee reduces
demand for coffee by 500000 kg, we could have found this bytaking the demand function for coffee and differentiating:
dQ
dp=
dD(p)
dp= 500000 kg/$
However, this is sensitive to the units used as well as the typeof good. We cannot compare this to other goods meaningfully.
So, we use relative changes instead: by what percentage doesquantity demanded change when price increases by 1%?
This is known as the price elasticity of demand:
D =%4 in Q%4 in p =
4QQ4pp
=dQ
dp
p
Q
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Elasticities
Using this, we can compare the price responsiveness ofdifferent goods to each other.
More generally, we can have elasticities of anything. Theelasticity of f with respect to x is:
ELx f (x) =df (x)
dx
x
f (x)=
d ln f (x)
d ln x
Let us prove that now !
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Elasticities
If |ELx f (x)| > 1, then f is elastic at x . If |ELx f (x)| = 1, then f is unit elastic at x . If |ELx f (x)| < 1, then f is inelastic at x . If |ELx f (x)| = 0, then f is perfectly inelastic at x .
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Example: Elasticities
Assume that demand for a product is given by
D(p) = ln (p + 1) + 5
Find the elasticity of D(p) when p = 100?
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Continuity
A function f (x) is continuous at x = a if all of the following aretrue:
f (a) exists lim
xa f (x) exists
f (a) = limxa f (x)
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Continuity
-1
0
1
2
3
-2 -1 0 1 2
f(x)
x
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Continuity
-1
0
1
2
3
-2 -1 0 1 2
f(x)
x
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Continuity
-1
0
1
2
3
-2 -1 0 1 2
f(x)
x
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Continuity
-1
0
1
2
3
-2 -1 0 1 2
f(x)
x
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Differentiability
A function f (x) is differentiable at x = a as long as the limitin the definition of the derivative exists:
limh0
f (a + h) f (a)h
Essentially, the slope of the function from the right and fromthe left must both exist and be equal.
If a function is differentiable at x = a, then it is alsocontinuous at x = a (Differentiability Continuity).
This means, logically, that (Not Continuous NotDifferentiable)
However, the reverse is not true. (Continuity 6Differentiability).
Interpretations: Continuity - graph connects. Differentiability- slopes connect.
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Example: Continuity and Differentiability
Determine whether f (x) = |x | is continuous and/or differentiableat x = 0.
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f (x) = |x |
-1
0
1
-1 0 1
f(x)
x
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Question
Draw a graph of the function f (x) = min(3x+2, 9 4x)where x is a real number
Is the function differentiable? Is the function continuous?
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Increasing/Decreasing Functions
We know the derivative gives the slope of a function at anypoint.
Derivative positive at a point function upward sloping function is increasing
Derivative negative at a point function downward sloping function is decreasing
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Graph of 13x3 + 2x2 3x + 1
-1
0
1
2
3
4
-1 0 1 2 3 4
f(x)
x
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Extension of Limits: LHopital Rule
If f(a)=g(a)=0, and g(a) is non zero:
limxa
f (x)
g(x)=
f (x)g (x)
Example:limx0
ex 1x
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Intermediate Value Theorem
Let f be a function continuous in the closed interval [a,b] If f(a) and f(b) have different signs, then there is at least 1 c
in (a,b) such that f(c) = 0.
If f(a) not equal to f(b), then for every intermediate value y inthe open interval between f(a) and f(b), there is at least one cin (a,b) such that f(c) = y.