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Partial differentiation

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Title: Partial differentiation


1
Lecture 3
  • Partial differentiation

2
Introduction.1
  • So far we have focused upon the simplest case of
    functions yf(x), i.e. functions with a single
    independent variable x e.g., y2x23x10
  • Clearly, in economics most functional
    relationships involve more than two variables.
    For instance, we previously saw a case where
    output Qf(L). But as we know the stylized
    production function in economics is one involving
    more than one input, e.g. Qf(L,K). Hence, in
    this lecture we shall review how to apply the
    techniques of differential calculus to such
    multivariate functions. We begin by examining the
    topic of partial differentiation.

3
Introduction2
  • Let us consider functions of the general form
    zf(x,y), where the dependent variable is z and
    there are two independent variables x and y.
    Examples include z3x2-9y and ze2x3y. Clearly,
    the two dimentional space would not be
    appropriate for graphical representation of such
    functions. We move to 3 and higher dimentional
    spaces.

z
J
y0
z0
x
K
x0
y
4
Introduction3
  • While the multidimentionality makes graphical
    treatment of functions with more than one
    independent variable difficult, most problems in
    economics (as we shall see with the examples of
    utility and production functions) allow us to
    assume that one of the variables under
    consideration is constant at a point in time.
  • This assumption reduces the graphical
    representation to one in a two-dimentional space.

5
Partial differentiation . 1
  • The arithmetic counterpart is the method of
    partial differentiation.
  • Consider the following multivariate function with
    n independent variables zf(x1, x2, x3. xn)
  • The assumption of independence implies that
    each xi can vary by itself without affecting the
    others. For example, a change in the value of x1,
    ? x1 while x2, x3. xn remain constant (i.e. ?
    x20, ? x30. ? xn0) will produce a
    corresponding change in z (?z).
  • If we take the limit of the rate of change
    of z w.r.t x1 (i.e. ?z/ ? x1 )
  • as the change in x becomes very small, the
    limit will constitute the partial derivative of z
    with respect to x1. This partial derivative is
    symbolized by fx1 or dz/dx1.

6
Partial derivatives 2
  • Techniques of partial differentiation
  • To partially differentiate a multivariate
    function we allow only one variable to vary,
    while all others remain independent.
  • e.g. in zf(x1, x2) we have to treat x2 as
    constant.

In general, if zf(x1, x2, x3. xn), then the
partial derivative of y w.r.t xi is given by

7
Partial derivatives .. 3
  • Find the first-order partial derivatives of

8
Second order partial derivative..1
  • We already saw that function zf(x,y) can give
    rise to two first -order partial derivatives fx,
    and fy
  • By differentiating fx, and fy w.r.t. x and
    y, we can obtain four second -order partial
    derivatives.

9
Second- order partial derivatives.2
  • The partial derivatives fxy and fyx are called
    the cross partial derivatives, because they
    measure the rate of change of the first-order
    partial derivative with respect to the other
    variable.
  • Youngs theorem implies that as long as the two
    cross-partial derivatives are both continuous,
    they will be identical fxy fyx

10
Second-order partial derivatives3
  • Find the first and second order partial
    derivatives of

11
Total differential..1
  • Univariate case
  • We know that f(x)dy/dx ?dyf(x).dx
  • Example find dy for yx3.
  • dy f(x)dx(3x2)dx

12
Total differential..2
  • Multivariate case
  • Given zf(x,y) the total differential of z
    is given by
  • Example find dz for z2x2y

13
Total derivative (differentiation of a function
of a function)1
  • Consider a function zf(x, y), where yg(x). x
    exerts a double effect on z
  • - Direct via f
  • - Indirect via its own effect on y
  • x z
  • y

g
f
14
Total derivative (differentiation of a function
of a function).2
  • Example Find the total derivative dz/dx of
    zf(x, y)xy3, when yg(x)lnx

15
Economic applications 1 The Utility Function
  • The neoclassical assumptions w.r.t. the utility
    function are that it is (i) smooth and
    continuous, (ii) there is non-satiation, (iii)
    the function is characterised by a decreasing
    marginal rate of substitution (MRS). All of these
    determine the shape of the indifference curve.

y
z
y1
z1
y0
z0
U200
x0
x1
U100
x
16
Economic applications 1 The Utility Function
cntnd.
  • UU(x,y) the indifference curve is defined as
    the locus of combinations of x and y which give a
    constant level of U.
  • Total differentiating U we get
    dUUxdxUydy0,
  • hence dy/dx -Ux/Uy

y
Slope of tangentdy/dx
x
17
Economic applications 1 The Utility Function
cntnd.
  • Note that the marginal utility tells us how much
    our satisfaction increases if we raise the
    consumption of one good keeping the other
    constant, i.e.,
  • MU1Ux1?U/ ? x1U(x1? x1, x2)-U(x1, x2)/
    ? x1
  • It satisfies the law of diminishing marginal
    utility ?2U/ ? X2lt0, ? 2U/ ? Y2lt0

XX2
U
XX1
Y
18
Example
19
Economic applications 2 The production function
  • The case of the production function is analogical
    to that of the utility function. Namely, the
    isoquant is negatively sloped and characterised
    by a decreasing marginal rate of substitution


K
Q
K1
Q1
K0
Q0
Q100
L0
L1
Q60
L
20
Economic applications 2 The production function
cntnd.
  • The production function gives us the combinations
    of inputs which gives us a certain level of
    output.
  • MP1?Q/ ? x1Q(x1? x1, x2)-Q(x1, x2)/ ? x1
  • dQMPLdLMPKdK0
  • MRTSdK/dL -MPL/MPK

K
L
21
Economic applications 2 The production function
cntnd.
  • The short term production function is
    characterised buy the law of diminishing marginal
    productivity of labour
  • Example Find the marginal rate of technical
    substitution and show that the law of diminishing
    marginal productivity holds if the production
    function has the following form Q(L,K)K0.5L0.5

22
Economic application 3 The link between APL and
MPL
Q
Qf(K0,L)
L
MPL,APL
MPL
APL
L
23
Economic application 4 partial elasticity of
demand
  • Example Given the demand function for good A
  • QA-100-20PA10PB40Y, where QA represents
    the quantity demanded of good A, PA represents
    the price of good A , PB represents the price of
    good B and Y represents the income of the
    consumer.
  • (i) Find the own price elasticity of demand
  • (ii) Find the cross-price elasticity of
    demand
  • (iii) Is good B substitutable or
    complementary to A?
  • (iv) Find the income elasticity of demand

24
Solution
  • QA-100-20PA10PB40Y

25
More problems
  • Example 1 Find the MRS of utility function
    UX1/2Y1/3
  • Example 2 Find the MRTS of production function
    Q2LK?L
  • Example 3 For production function Q300L2-L4
    find the point at which the APL is maximized and
    comment on its link between MPL.
  • Example 4 For demand function QPaY2/P, where
    Pa10, Y2, P4, find the income elasticity of
    demand.
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