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Differential calculus

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This comprehensive document delves into the fundamental concepts and principles of calculus, providing a detailed exploration of the subject's core topics. With clear explanations and concise examples, it covers: - Limits and continuity - Derivatives and differentiation rules - Applications of derivatives, including optimization and physics - Integrals and integration techniques - Sequences and series convergence Complete with illustrative graphs, formulas, and exercises, this document serves as an invaluable resource for students, educators, and professionals seeking to master the intricacies of calculus. Whether used as a study guide, reference material, or teaching tool, it offers a thorough and accessible understanding of this essential branch of mathematics.

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Uploaded on
May 22, 2024
Number of pages
59
Written in
2023/2024
Type
Class notes
Professor(s)
Dr maregere
Contains
Class 1

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CHAPTER 02: Differential Calculus


Ms A. Maphiri
B. Maregere

University Of Venda
MAT 1143/1543

First Semester 2024






, Topic: Differential Calculus



Objectives:
✠ Introduces a technique called differentiation for calculating
the gradient of a curve at any point
✠ Introduces some rules for finding gradient functions
✠ Explains what is meant by the terms ”first derivative” and
”second derivative”
✠ explains the terms ”maximum” and ”minimum” when
applied to functions
✠ Applies the technique of differentiation to locating
maximum and minimum values of a function





, Overview of Differential Calculus




⋇ Differential calculus along with Integral calculus are the
two branches of Calculus, the study of continuous change
or a rate of change of a function.
⋇ Calculus was developed by Newton (1642 - 1727) and
Leibnitz (1646 - 1716) to deal with finding the different
properties of derivatives and intergrals of a function.
⋇ Differential calculus deals with the rate of change of one
quantity with respect to another quantity.






, Overview of differential Calculus Cont....

Gradient of a curve
⋇ The gradient of a straight line is a constant and simply

determined by ∆xy which is the ratio between any two
points on the line
⋇ But, on the curve the gradient is changing from one point
to another
⋇ Thus, we can define the gradient at any point on a curve
to be the gradient of the tangent to the curve at that
point.
⋇ Recall that a tangent to a curve is a straight line that
touches the curve at one point.
⋇ To find a gradient at any point on the curve, we can make
use of the method called a limiting process, sometimes
known as differentiation from the first principle.
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