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Learning Development Service

Differentiation 2

To book an appointment email: [email protected] Who is this workshop for?

• Scientists-physicists, chemists, social scientists etc. • Engineers • Economists • is used almost everywhere!

Learning Development Service What we covered last time :

• What is differentiation? Differentiation from first principles. • Differentiating simple functions • Product and quotient rules • • Using differentiation tables • Finding the of functions

Learning Development Service What we will cover this time:

• Second Order Differentiation • Maxima and Minima (Revisited) • Parametric Differentiation • Implicit Differentiation

Learning Development Service The Chain Rule by Example

(i) Differentiate :

Set:

The differential is then:

Learning Development Service The Chain Rule: Examples

Differentiate:

2 1/3 (i) y  x 3x 1 (ii) y  sincos x

(iii) y  cos3x 1 3  2x 1 (iv) y     2x 1

Learning Development Service Revisit: maxima and minima

Learning Development Service Finding the maxima and minima

Learning Development Service The second

• The is found by taking the derivative of a function twice:

dy d 2 y y  f (x)   f (x)   f (x) dx dx2

• The second derivative can be used to classify a stationary point

Learning Development Service The second derivative

• If x0 is the position of a stationary point, the point is a maximum if the second derivative is <0 : d 2 y  0 dx2 and a minimum if: d 2 y  0 dx2 • The nature of the stationary point is inconclusive if the second derivative=0.

Learning Development Service The second derivative: Examples

3 • Find the stationary points of the function f (x)  x 6x and classify the stationary points.

Learning Development Service The second derivative: Examples

1 • Find the local maxima/minima of the function f (x)  x4  x3 3

Learning Development Service Parametric Differentiation

• Sometimes the equation of a curve is not given in Cartesian form y  f ( x ) and instead is given in parametric form:

x  f (t) y  f (t)

• Thus, the x and y coordinates are given in terms of another variable, t • To differentiate find the derivative of x with respect to t and y with respect to t • The derivative f  ( x ) is then found by dividing the two

Learning Development Service Parametric Differentiation

• Thus the derivative is: dy  dy   dx  f (x)       dx  dt   dt 

2 • Example 1: find f (x) if x  3t, y  t  4t 1 • Example 2: find f (x) if x  cost, y  sint • Example 3: find if x  3t  4sint, y  t 2 t cost

Learning Development Service Implicit Differentiation

• Equations such as y  x2 and y 1/ x are said to define y as a function of x explicitly i.e. variable y alone on one side of the equation

• For example, the equation yx  y 1 x is not in the form

y  f (x) but can easily be rearranged to take this form

• We say the above equation is defined implicitly as a function of x when in the form and is defined explicitly when rearranged and rewritten in the form: x 1 y  x 1 Learning Development Service Implicit Differentiation

• Implicit differentiation allows an expression to be differentiated even when y cannot be expressed explicitly in terms of x

• Example 1: find f  (x ) if xy 1 2 3 • Example 2: find if x  y 1 y • Example 3: find if 2y  x2 sin y

Learning Development Service