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Understanding Differentiation: Gradients, Tangents, and More!

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Understanding Differentiation: Gradients, Tangents, and More!
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Kate

@katerevisionotes

·

5 Followers

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A comprehensive guide to first principles of differentiation explained, covering fundamental calculus concepts and advanced differentiation techniques.

  • The guide explores differentiation from first principles, including the limit definition and practical applications
  • Covers essential topics like gradient and tangents in calculus, increasing/decreasing functions, and stationary points
  • Details various differentiation rules including chain rule, product rule, and implicit differentiation in calculus
  • Examines trigonometric differentiation and special functions like exponentials and logarithms
  • Includes practical examples and step-by-step solutions for complex differentiation problems

15/09/2023

193

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

View

Page 2: Tangents, Normals, and Function Behavior

This page delves into the properties of tangents and normals, along with the analysis of increasing and decreasing functions. It also covers second derivatives and their applications in finding turning points.

Definition: A tangent has the same gradient as the curve at the point of contact, while a normal is perpendicular to the tangent

Highlight: Second derivatives (f"(x)) are crucial for determining the nature of turning points and curve behavior

Example: For a quadratic function f(x) = ax² + bx + c, where a > 0, the second derivative helps identify maximum and minimum points

Vocabulary: Stationary point - a point where the gradient equals zero

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

View

Page 3: Advanced Differentiation Rules

This page covers more complex differentiation techniques, including trigonometric functions, exponentials, and the chain rule. It provides comprehensive examples of various differentiation methods.

Definition: Chain rule states that if y is a function of u, which is a function of x, then dy/dx = dy/du × du/dx

Example: Differentiating y = ekx results in dy/dx = kekx, demonstrating the application of the chain rule

Highlight: The product rule is essential for differentiating products of functions: d/dx(uv) = u(dv/dx) + v(du/dx)

Vocabulary: Product rule - a method for differentiating the product of two functions

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

View

Page 4: Quotient Rule and Implicit Differentiation

This page explains the quotient rule and implicit differentiation, including applications to trigonometric functions and complex expressions.

Definition: Quotient rule states that d/dx(u/v) = (v(du/dx) - u(dv/dx))/v²

Example: Differentiating y = (x²+1)/(x-3) using the quotient rule demonstrates practical application

Highlight: Implicit differentiation is crucial when dealing with equations where y cannot be easily isolated

Vocabulary: Implicit differentiation - a method used when y cannot be explicitly expressed in terms of x

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

View

Page 1: First Principles and Basic Differentiation

This page introduces the fundamental concepts of differentiation, starting with the first principle formula and its applications. The content focuses on basic differentiation rules and gradient calculations.

Definition: First principle of differentiation is defined as f'(x) = lim[h→0] [f(x+h)-f(x)]/h

Example: Proving the first principle of 5x³ results in 15x², demonstrating the practical application of the limit definition

Highlight: Understanding gradient at a point is crucial for analyzing curve behavior, as shown in the example where gradient at point (2,2) is calculated

Vocabulary: Derivative (f'(x)) - the rate of change of a function at any given point

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Understanding Differentiation: Gradients, Tangents, and More!

user profile picture

Kate

@katerevisionotes

·

5 Followers

Follow

A comprehensive guide to first principles of differentiation explained, covering fundamental calculus concepts and advanced differentiation techniques.

  • The guide explores differentiation from first principles, including the limit definition and practical applications
  • Covers essential topics like gradient and tangents in calculus, increasing/decreasing functions, and stationary points
  • Details various differentiation rules including chain rule, product rule, and implicit differentiation in calculus
  • Examines trigonometric differentiation and special functions like exponentials and logarithms
  • Includes practical examples and step-by-step solutions for complex differentiation problems

15/09/2023

193

 

12/13

 

Maths

11

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

Page 2: Tangents, Normals, and Function Behavior

This page delves into the properties of tangents and normals, along with the analysis of increasing and decreasing functions. It also covers second derivatives and their applications in finding turning points.

Definition: A tangent has the same gradient as the curve at the point of contact, while a normal is perpendicular to the tangent

Highlight: Second derivatives (f"(x)) are crucial for determining the nature of turning points and curve behavior

Example: For a quadratic function f(x) = ax² + bx + c, where a > 0, the second derivative helps identify maximum and minimum points

Vocabulary: Stationary point - a point where the gradient equals zero

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

Page 3: Advanced Differentiation Rules

This page covers more complex differentiation techniques, including trigonometric functions, exponentials, and the chain rule. It provides comprehensive examples of various differentiation methods.

Definition: Chain rule states that if y is a function of u, which is a function of x, then dy/dx = dy/du × du/dx

Example: Differentiating y = ekx results in dy/dx = kekx, demonstrating the application of the chain rule

Highlight: The product rule is essential for differentiating products of functions: d/dx(uv) = u(dv/dx) + v(du/dx)

Vocabulary: Product rule - a method for differentiating the product of two functions

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

Page 4: Quotient Rule and Implicit Differentiation

This page explains the quotient rule and implicit differentiation, including applications to trigonometric functions and complex expressions.

Definition: Quotient rule states that d/dx(u/v) = (v(du/dx) - u(dv/dx))/v²

Example: Differentiating y = (x²+1)/(x-3) using the quotient rule demonstrates practical application

Highlight: Implicit differentiation is crucial when dealing with equations where y cannot be easily isolated

Vocabulary: Implicit differentiation - a method used when y cannot be explicitly expressed in terms of x

C
Differentiation
.
Differentiation
y = f (oc)
dy = f (x)
doc
• First Principles
f'(x) = lim f(x+h)-f(x)
[→]
h
as h tends to zero'
example
p

Page 1: First Principles and Basic Differentiation

This page introduces the fundamental concepts of differentiation, starting with the first principle formula and its applications. The content focuses on basic differentiation rules and gradient calculations.

Definition: First principle of differentiation is defined as f'(x) = lim[h→0] [f(x+h)-f(x)]/h

Example: Proving the first principle of 5x³ results in 15x², demonstrating the practical application of the limit definition

Highlight: Understanding gradient at a point is crucial for analyzing curve behavior, as shown in the example where gradient at point (2,2) is calculated

Vocabulary: Derivative (f'(x)) - the rate of change of a function at any given point

Can't find what you're looking for? Explore other subjects.

Knowunity is the #1 education app in five European countries

Knowunity has been named a featured story on Apple and has regularly topped the app store charts in the education category in Germany, Italy, Poland, Switzerland, and the United Kingdom. Join Knowunity today and help millions of students around the world.

Ranked #1 Education App

Download in

Google Play

Download in

App Store

Knowunity is the #1 education app in five European countries

4.9+

Average app rating

15 M

Pupils love Knowunity

#1

In education app charts in 12 countries

950 K+

Students have uploaded notes

Still not convinced? See what other students are saying...

iOS User

I love this app so much, I also use it daily. I recommend Knowunity to everyone!!! I went from a D to an A with it :D

Philip, iOS User

The app is very simple and well designed. So far I have always found everything I was looking for :D

Lena, iOS user

I love this app ❤️ I actually use it every time I study.