Differentiation



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Simple Differentiation:

y=a⁢xn ⇒  dydx= a⁢n⁢xn-1


Further Reading and Questions:

IGCSE Questions
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Level 2 Further Maths Questions [inc MS]
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IGCSE Past Paper Questions
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The Gradient Function
(or graphing the derivative)

Gradient function refers to the derivative of a function, represented as dy/dx, which indicates the rate of change of the function with respect to x at any point along the curve. Understanding how to sketch and interpret these functions is essential for solving problems related to motion, optimization, and curve analysis.


Gradient Function dy/dx
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Sketching Gradient Functions
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Understanding Sketching Derivatives - What is Sketching Derivatives?

Sketching derivatives involves creating a graph that represents the behaviour of a function's derivative. This helps in understanding how the original function behaves, including its increasing and decreasing intervals, as well as its local maxima and minima.

Key Steps in Sketching Derivatives:

Find the First Derivative:
Calculate the derivative of the function. This will help identify critical points where the function changes from increasing to decreasing or vice versa.
Determine Critical Points:
Set the first derivative equal to zero to find critical points. These points indicate where the slope of the function is zero.
Analyze Intervals:
Use a number line to test intervals around the critical points. Determine where the first derivative is positive (function is increasing) and where it is negative (function is decreasing).
Find Local Extrema:
Identify local maxima and minima based on the sign changes of the first derivative.
Second Derivative Test:
Calculate the second derivative to find points of inflection and determine concavity. This helps in sketching the curvature of the graph.

Example of Sketching a Derivative:

For a function f(x)= x33+x-23 :

StepCalculation/Result
First Derivative f'(x)= -x2+1
Critical Points f'(x)= 0 gives x=±1
Increasing Intervals(−∞,−1) and (1,∞)
Decreasing Intervals(−1,1)
Second Derivative f''(x)=-2⁢x
Points of Inflectionx=0

Conclusion:

By following these steps, you can effectively sketch the derivative of a function, gaining insights into its behaviour and characteristics. This process is essential for understanding calculus concepts and solving related problems.


Differentiation from First principles

f'=Limh→0 ( f(x+h)-f(x) h )


Basic Derivatives

Function
f(x)
Derivative
f'(x)
a
(a∈ℝ)
0
xn
(n∈ℝ)
n⁢xn-1
exex
lnx
(x>0)
1x


Function
f(x)
Derivative
f'(x)
sinxcosx
cosx-sinx
tanxsec2x
cosecx-cosecx⁢cotx
secxsecx⁢tanx
cotx-cosec2x
sin-1x 11-x2
cos-1x -11-x2
tan-1x 11+x2


Function
f(x)
Derivative
f'(x)
coshxsinhx
sinhxcoshx
tanhxsech2x
cosechx-cosechx⁢cothx
sechx-sechx⁢tanhx
cothx-cosech2x
cosh-1x 1x2-1
sinh-1x 1x2+1
tanh-1x 11-x2



Rules of Differentiation

Constant factor

d(a⁢y)dx =a⁢dydx

Term wise

ddx (f+g) =dfdx +dgdx

The Reciprocal Derivative

dy dx = ( dx dy ) -1

Composite Functions
and the Chain rule

y=y(u) ⇒ dy dx = dy du ⁢ du dx

Factorised Expressions
and the Product rule

y=u⁢v ⇒ d(u⁢v) dx = du dx ⁢ v + u ⁢ dv dx

Algebraic Fractions
and the Quotient rule

y=uv ⇒ f ' ( u v ) = u ' ⁢ v - u ⁢ v ' v 2

where y, u and v are functions of x



Chain Rule

dydx =dydu ⁢dudx

Differentiation Chain Rule
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Differentiation Chain Rule
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Chain Rule
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Differentiation from First Principles

Differentiation from First Principles (x, f(x)) (x + h, f(x + h)) h f(x + h) - f(x) Gradient = (f(x + h) - f(x)) / h

f' = Lim h→0 ( f(x+h)-f(x)h )


Example:

Differentiate y=x2-5 using first priniciples

f' = Limh→0 ( f(x+h)-f(x) h ) f' = Limh→0 ( (x+h)2-5 -(x2-5) h ) f' = Limh→0 ( x2+2⁢h⁢x+h2-5 -x2+5 h ) f' = Limh→0 ( 2⁢h⁢x+h2 h ) f' = Limh→0(2⁢x+h) f'=2⁢x

Questions:

Differentiation from First Priniciples
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Past Paper Questions
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Differentiation from First Priniciples
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Analysing a Function with the Aid of Differentiation

Location:
f(x)>0 where the function is above the x-axis;
f(x)<0 where the function is below the x-axis;
f(x)=0 gives the x-intercept(s);
f(0)=c gives the y-intercept.
Increasing, Decreasing or Stationary:
f'(x)>0 where the function is increasing;
f'(x)<0 where the function is decreasing;
f'(x)=0 the locations of any stationary points.
Turning:
If f"(x)>0 then the function is convex;
If f"(x)<0 then the function is concave;
If f"(x)=0 then there is potentially a point of inflection (further testing required).
Stationary points:
If f'(x)=0 and f"(x)>0 then a local minimum point;
If f'(x)=0 and f"(x)<0 then a local maximum point;
If f'(x)=0 and f"(x)=0 then there is potentially a stationary point of inflection (further testing required).

Questions:

Increasing and Decreasing Functions Exam Questions
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Increasing/Decreasing Function Video:
Practice Questions [ MS ].
d2y/dx2 Video:
Practice Questions [ MS ].
Stationary Points Video:
Practice Questions [ MS ].
Application of Differentiation Video:
Practice Questions [ MS ].
Sketch curve knowing maxima/minima
Practice Questions [ MS ].
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