This document provides an overview of Chapter 3 from a Calculus I course on derivatives. It introduces the concept of the derivative and how it relates to tangent lines and rates of change. The chapter outline describes sections on the derivative of functions, rules of derivatives, derivatives of trigonometric functions, the chain rule, and implicit differentiation. Examples are provided for taking derivatives of various functions, including constant functions, power functions, sums and differences, and products. Higher derivatives are also introduced.
This document discusses key concepts related to derivatives and their applications:
- It defines increasing and decreasing functions and explains how to determine if a function is increasing or decreasing based on the sign of the derivative.
- It introduces the use of derivatives to find maximum and minimum values, extreme points, and critical points of functions.
- Theorems 1 and 2 provide rules for determining if a critical point represents a maximum or minimum.
- Examples are provided to demonstrate finding the intervals where a function is increasing/decreasing, identifying extrema, and determining the greatest and least function values over an interval.
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
It is a powerpoint presentation that discusses about the lesson or topic of Derivatives and Differentiation Rules. It also encompasses some formulas, definitions and examples regarding the said topic.
Continuity and Discontinuity of FunctionsPhil Saraspe
1. A function is continuous at a point if it satisfies three conditions: it is defined at that point, the limit of the function as it approaches the point exists, and the limit equals the value of the function at that point.
2. There are three types of discontinuities: removable discontinuity where the limit exists but does not equal the function value, jump discontinuity where the left and right limits do not match, and infinite discontinuity where the limit is infinity.
3. The document provides examples and explanations of continuity and different types of discontinuities in functions. It encourages the reader to check additional video resources for more information.
The document defines the derivative of a function and discusses:
- The definition of the derivative as the limit of the slope between two points as they approach each other.
- Notation used to represent derivatives, including f'(x), dy/dx, and df/dx.
- How the graph of a function's derivative f' relates to the graph of the original function f - where f' is positive/negative/zero corresponds to parts of f that are increasing/decreasing/at an extremum.
- How to graph f given a graph of its derivative f' by sketching the curve that matches the behavior of f' at each point.
- One-sided derivatives at endpoints of functions defined
The document discusses how to find the domain and range of ordered pairs, graphs, and functions. It provides examples of finding the domain, which is the set of first coordinates for ordered pairs or the values of x included in the solution set for graphs, and the range, which is the set of second coordinates for ordered pairs or the values of y included in the solution set for graphs. The document gives the domain and range for several examples of ordered pairs, graphs and functions.
This document discusses several topics related to calculus including:
1) Derivatives of position, velocity, and acceleration and how they relate to each other.
2) An example problem calculating velocity from a position function.
3) The Mean Value Theorem and how to apply it to find critical points of a function.
4) How the first and second derivatives of a function relate to critical points, maxima, minima, and points of inflection or concavity.
5) Related rates problems and how to set them up using derivatives and relationships between variables.
Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
This document introduces the topic of partial derivatives, which is the extension of calculus to functions with more than one independent variable. Functions of multiple variables are important in fields like probability, statistics, physics and more. The key concepts covered include functions of two and three variables, limits and continuity in higher dimensions, partial derivatives, the chain rule, gradient vectors, tangent planes and differentials.
This document discusses key concepts related to derivatives and their applications:
- It defines increasing and decreasing functions and explains how to determine if a function is increasing or decreasing based on the sign of the derivative.
- It introduces the use of derivatives to find maximum and minimum values, extreme points, and critical points of functions.
- Theorems 1 and 2 provide rules for determining if a critical point represents a maximum or minimum.
- Examples are provided to demonstrate finding the intervals where a function is increasing/decreasing, identifying extrema, and determining the greatest and least function values over an interval.
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
It is a powerpoint presentation that discusses about the lesson or topic of Derivatives and Differentiation Rules. It also encompasses some formulas, definitions and examples regarding the said topic.
Continuity and Discontinuity of FunctionsPhil Saraspe
1. A function is continuous at a point if it satisfies three conditions: it is defined at that point, the limit of the function as it approaches the point exists, and the limit equals the value of the function at that point.
2. There are three types of discontinuities: removable discontinuity where the limit exists but does not equal the function value, jump discontinuity where the left and right limits do not match, and infinite discontinuity where the limit is infinity.
3. The document provides examples and explanations of continuity and different types of discontinuities in functions. It encourages the reader to check additional video resources for more information.
The document defines the derivative of a function and discusses:
- The definition of the derivative as the limit of the slope between two points as they approach each other.
- Notation used to represent derivatives, including f'(x), dy/dx, and df/dx.
- How the graph of a function's derivative f' relates to the graph of the original function f - where f' is positive/negative/zero corresponds to parts of f that are increasing/decreasing/at an extremum.
- How to graph f given a graph of its derivative f' by sketching the curve that matches the behavior of f' at each point.
- One-sided derivatives at endpoints of functions defined
The document discusses how to find the domain and range of ordered pairs, graphs, and functions. It provides examples of finding the domain, which is the set of first coordinates for ordered pairs or the values of x included in the solution set for graphs, and the range, which is the set of second coordinates for ordered pairs or the values of y included in the solution set for graphs. The document gives the domain and range for several examples of ordered pairs, graphs and functions.
This document discusses several topics related to calculus including:
1) Derivatives of position, velocity, and acceleration and how they relate to each other.
2) An example problem calculating velocity from a position function.
3) The Mean Value Theorem and how to apply it to find critical points of a function.
4) How the first and second derivatives of a function relate to critical points, maxima, minima, and points of inflection or concavity.
5) Related rates problems and how to set them up using derivatives and relationships between variables.
Integration by substitution is the chain rule in reverse.
NOTE: the final location is section specific. Section 1 (morning) is in SILV 703, Section 11 (afternoon) is in CANT 200
This document introduces the topic of partial derivatives, which is the extension of calculus to functions with more than one independent variable. Functions of multiple variables are important in fields like probability, statistics, physics and more. The key concepts covered include functions of two and three variables, limits and continuity in higher dimensions, partial derivatives, the chain rule, gradient vectors, tangent planes and differentials.
This document outlines the 7 steps for sketching the curve of a function: 1) Determine the domain, 2) Find critical points, 3) Determine graph direction and max/min, 4) Use the second derivative to find concavity and points of inflection, 5) Find asymptotes, 6) Find intercepts and important points, 7) Combine evidence to graph the function. Key tests are outlined for max/min, concavity, and points of inflection using the first and second derivatives.
Derivatives and it’s simple applicationsRutuja Gholap
The document provides an introduction to derivatives and their applications. It defines the derivative as the rate of change of a function near an input value and discusses how it relates geometrically to the slope of the tangent line. It then gives examples of finding the derivatives of common functions like constants, polynomials, and exponentials. The document also covers basic derivative rules like the constant multiple rule, sum and difference rules, product rule, and quotient rule. Finally, it discusses applications of derivatives in topics like physics, such as calculating velocity and acceleration from a position function.
1) The document discusses basic rules and concepts of integration, including that integration is the inverse process of differentiation and that the indefinite integral of a function f(x) is notated as ∫f(x) dx = F(x) + c, where F(x) is the primitive function and c is the constant of integration.
2) Methods of integration discussed include the substitution method, where a function is substituted for the variable, and integration by parts, which uses the product rule in reverse to solve integrals involving products.
3) Finding the constant of integration c requires knowing the value of the primitive function F(x) at a specific point, which eliminates the family of functions and isolates a
The document discusses antiderivatives and integration. It defines an antiderivative as a function whose derivative is the original function. The integral of a function is defined as the set of its antiderivatives. Basic integration rules are provided, such as integrating term-by-term and pulling out constants. Formulas for integrating common functions like exponentials, trigonometric functions, and logarithms are listed. An example problem demonstrates finding the antiderivative of a multi-term function by applying the basic integration rules.
Benginning Calculus Lecture notes 2 - limits and continuitybasyirstar
This document discusses limits and continuity in calculus. It begins by defining limits and providing examples of computing limits of functions. It then covers one-sided limits, properties of limits, and using direct substitution to evaluate limits. The document also discusses limits of trigonometric functions and infinite limits. The overall goal is to determine the existence of limits, compute limits, understand continuity of functions, and connect the ideas of limits and continuity.
This document discusses integration by substitution. It provides examples of using substitution to evaluate various integrals involving trigonometric, exponential, and logarithmic functions. Guidelines are provided for choosing the substitution variable u. Several worked examples demonstrate how to use substitution to rewrite integrals in terms of u and then evaluate the integral. Exercises at the end provide additional practice problems for students to evaluate using integration by substitution.
Lesson3.1 The Derivative And The Tangent Lineseltzermath
This document provides an introduction to the concept of the tangent line and derivative. It defines the tangent line as the line that intersects a curve at exactly one point. It discusses how to approximate the slope of a tangent line using secant lines and taking the limit as the second point approaches the point of tangency. The derivative is defined as the formula that gives the slope of the tangent line at any point on a curve. It provides examples of using calculators to calculate derivatives and discusses how the graph of a derivative relates to properties of the original function such as maxima, minima and x-intercepts.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Matthew Leingang
The exponential function is pretty much the only function whose derivative is itself. The derivative of the natural logarithm function is also beautiful as it fills in an important gap. Finally, the technique of logarithmic differentiation allows us to find derivatives without the product rule.
It includes all the basics of calculus. It also includes all the formulas of derivatives and how to carry it out. It also includes function definition and different types of function along with relation.
This chapter discusses differentiation, including:
- Defining the derivative using the limit definition of the slope of a tangent line.
- Basic differentiation rules for constants, polynomials, sums and differences.
- Interpreting the derivative as an instantaneous rate of change.
- Applying the product rule and quotient rule to differentiate products and quotients.
- Using differentiation to find equations of tangent lines, velocities, marginal costs, and other rates of change.
The document discusses composition of functions and inverse functions. It defines composition of functions as combining two functions where one function is performed first and the result is substituted into the second function. The composition is not always commutative. It then provides examples of finding the composition of two functions. Inverse functions are defined as functions where the independent and dependent variables are swapped, and their composition is equal to x. The document demonstrates finding the inverse of functions by swapping variables and checking the composition. It emphasizes that the inverse of a function may not always be a function itself.
This document discusses exponential functions. It defines exponential functions as functions where f(x) = ax + B, where a is a real constant and B is any expression. Examples of exponential functions given are f(x) = e-x - 1 and f(x) = 2x. The document also discusses evaluating exponential equations with like and different bases using logarithms. It provides examples of graphing exponential functions and discusses the key characteristics of functions of the form f(x) = bx, including their domains, ranges, and asymptotic behavior. The document concludes with an example of applying exponential functions to model compound interest.
This document discusses different types of exponential and logarithmic equations and methods for solving them. It covers:
1) Exponential equations with like bases, which can be solved by setting exponents equal to each other.
2) Exponential equations with different bases, which require using logarithms and properties of logarithms to isolate the variable.
3) Logarithmic equations, where the variable can be inside or outside the logarithm. These also use logarithm properties and are rewritten as exponential equations to solve for the variable.
This document provides an overview of exponential and logarithmic functions. It defines one-to-one functions and inverse functions. It explains how to find the inverse of a one-to-one function and shows that the inverse of f(x) is f-1(x). Properties of exponential functions like f(x)=ax and logarithmic functions like f(x)=logax are described. The product, quotient, and power rules for logarithms are outlined along with examples. Finally, it discusses how to solve exponential and logarithmic equations using properties of these functions.
The document discusses exponential functions of the form f(x) = ax, where a is the base. It defines exponential functions and provides examples of evaluating them. The key aspects of exponential graphs are that they increase rapidly as x increases and have a horizontal asymptote of y = 0 if a > 1 or y = 0 if 0 < a < 1. Examples are given of sketching graphs of exponential functions and stating their domains and ranges. The graph of the natural exponential function f(x) = ex is also discussed.
Calculus is used to determine the rate of change of a quantity. The document introduces differential calculus, which finds the rate of change by examining how a function changes over an infinitesimally small change in its input. It uses examples of calculating speed and slope to illustrate how taking a limit as the change approaches zero allows determining the rate of change at an exact point. Integral calculus is also introduced as the inverse operation that sums these rates of change.
An exponential function has the form y = a · bx, where a and b are constants and b must be greater than 0. This document discusses exponential functions through examples and explanations. It explores how changing the constants a and b impact the graph of the function. It also introduces the equality property of exponential functions, which states that if the bases are the same, the exponents can be set equal to solve equations. Several examples demonstrate how to use this property to solve equations involving exponential functions.
This document outlines the lecture schedule and topics for a course on Multivariate Calculus taught by Abdul Aziz. The course will cover partial derivatives of functions with two or more variables, including how to use partial derivatives to find maximum and minimum values. It will also discuss level curves, tangent planes, and rates of change for multivariate functions. Quizzes and exercises are included to help students practice these concepts.
This document discusses the definition, notation, history, and applications of derivatives. It begins by defining a derivative as the instantaneous rate of change of a quantity with respect to another. It then discusses differentiation, derivative notation, and the history of derivatives developed by Newton and Leibniz. Real-life applications described include using derivatives in automobiles, radar guns, and analyzing graphs. Derivatives are also applied in physics to calculate velocity and acceleration, and in mathematics to find extreme values and use the Mean Value Theorem.
Here are the steps to solve this problem:
(a) Let t = time and y = height. Then the differential equation is:
dy/dt = -32 ft/sec^2
Integrate both sides:
∫dy = ∫-32 dt
y = -32t + C
Initial conditions: at t = 0, y = 0
0 = -32(0) + C
C = 0
Therefore, the equation is: y = -32t
When y = 0 (the maximum height), t = 0.625 sec
(b) Put t = 0.625 sec into the equation:
y = -32(0.625) = -20 ft
This document is a presentation submitted by a group of 6 mechanical engineering students to their professor. It contains an introduction, definitions of derivatives, a brief history of derivatives attributed to Newton and Leibniz, and applications of derivatives in various fields such as automobiles, radar guns, business, physics, biology, chemistry, and mathematics. It also provides rules and examples of calculating derivatives using power, multiplication by constant, sum, difference, product, quotient and chain rules.
Applications of differential equation in Physics and BiologyAhamed Yoonus S
This document discusses several applications of differential equations in physics. It provides examples of how differential equations are used to model radioactive decay, linear and projectile motion, harmonic oscillations, and more. Solving these differential equations provides insights into the physical processes being modeled and has allowed technological progress across many scientific disciplines. Differential equations are necessary to describe most physical phenomena accurately because real-world relationships are typically non-linear rather than linear.
This document outlines the 7 steps for sketching the curve of a function: 1) Determine the domain, 2) Find critical points, 3) Determine graph direction and max/min, 4) Use the second derivative to find concavity and points of inflection, 5) Find asymptotes, 6) Find intercepts and important points, 7) Combine evidence to graph the function. Key tests are outlined for max/min, concavity, and points of inflection using the first and second derivatives.
Derivatives and it’s simple applicationsRutuja Gholap
The document provides an introduction to derivatives and their applications. It defines the derivative as the rate of change of a function near an input value and discusses how it relates geometrically to the slope of the tangent line. It then gives examples of finding the derivatives of common functions like constants, polynomials, and exponentials. The document also covers basic derivative rules like the constant multiple rule, sum and difference rules, product rule, and quotient rule. Finally, it discusses applications of derivatives in topics like physics, such as calculating velocity and acceleration from a position function.
1) The document discusses basic rules and concepts of integration, including that integration is the inverse process of differentiation and that the indefinite integral of a function f(x) is notated as ∫f(x) dx = F(x) + c, where F(x) is the primitive function and c is the constant of integration.
2) Methods of integration discussed include the substitution method, where a function is substituted for the variable, and integration by parts, which uses the product rule in reverse to solve integrals involving products.
3) Finding the constant of integration c requires knowing the value of the primitive function F(x) at a specific point, which eliminates the family of functions and isolates a
The document discusses antiderivatives and integration. It defines an antiderivative as a function whose derivative is the original function. The integral of a function is defined as the set of its antiderivatives. Basic integration rules are provided, such as integrating term-by-term and pulling out constants. Formulas for integrating common functions like exponentials, trigonometric functions, and logarithms are listed. An example problem demonstrates finding the antiderivative of a multi-term function by applying the basic integration rules.
Benginning Calculus Lecture notes 2 - limits and continuitybasyirstar
This document discusses limits and continuity in calculus. It begins by defining limits and providing examples of computing limits of functions. It then covers one-sided limits, properties of limits, and using direct substitution to evaluate limits. The document also discusses limits of trigonometric functions and infinite limits. The overall goal is to determine the existence of limits, compute limits, understand continuity of functions, and connect the ideas of limits and continuity.
This document discusses integration by substitution. It provides examples of using substitution to evaluate various integrals involving trigonometric, exponential, and logarithmic functions. Guidelines are provided for choosing the substitution variable u. Several worked examples demonstrate how to use substitution to rewrite integrals in terms of u and then evaluate the integral. Exercises at the end provide additional practice problems for students to evaluate using integration by substitution.
Lesson3.1 The Derivative And The Tangent Lineseltzermath
This document provides an introduction to the concept of the tangent line and derivative. It defines the tangent line as the line that intersects a curve at exactly one point. It discusses how to approximate the slope of a tangent line using secant lines and taking the limit as the second point approaches the point of tangency. The derivative is defined as the formula that gives the slope of the tangent line at any point on a curve. It provides examples of using calculators to calculate derivatives and discusses how the graph of a derivative relates to properties of the original function such as maxima, minima and x-intercepts.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Matthew Leingang
The exponential function is pretty much the only function whose derivative is itself. The derivative of the natural logarithm function is also beautiful as it fills in an important gap. Finally, the technique of logarithmic differentiation allows us to find derivatives without the product rule.
It includes all the basics of calculus. It also includes all the formulas of derivatives and how to carry it out. It also includes function definition and different types of function along with relation.
This chapter discusses differentiation, including:
- Defining the derivative using the limit definition of the slope of a tangent line.
- Basic differentiation rules for constants, polynomials, sums and differences.
- Interpreting the derivative as an instantaneous rate of change.
- Applying the product rule and quotient rule to differentiate products and quotients.
- Using differentiation to find equations of tangent lines, velocities, marginal costs, and other rates of change.
The document discusses composition of functions and inverse functions. It defines composition of functions as combining two functions where one function is performed first and the result is substituted into the second function. The composition is not always commutative. It then provides examples of finding the composition of two functions. Inverse functions are defined as functions where the independent and dependent variables are swapped, and their composition is equal to x. The document demonstrates finding the inverse of functions by swapping variables and checking the composition. It emphasizes that the inverse of a function may not always be a function itself.
This document discusses exponential functions. It defines exponential functions as functions where f(x) = ax + B, where a is a real constant and B is any expression. Examples of exponential functions given are f(x) = e-x - 1 and f(x) = 2x. The document also discusses evaluating exponential equations with like and different bases using logarithms. It provides examples of graphing exponential functions and discusses the key characteristics of functions of the form f(x) = bx, including their domains, ranges, and asymptotic behavior. The document concludes with an example of applying exponential functions to model compound interest.
This document discusses different types of exponential and logarithmic equations and methods for solving them. It covers:
1) Exponential equations with like bases, which can be solved by setting exponents equal to each other.
2) Exponential equations with different bases, which require using logarithms and properties of logarithms to isolate the variable.
3) Logarithmic equations, where the variable can be inside or outside the logarithm. These also use logarithm properties and are rewritten as exponential equations to solve for the variable.
This document provides an overview of exponential and logarithmic functions. It defines one-to-one functions and inverse functions. It explains how to find the inverse of a one-to-one function and shows that the inverse of f(x) is f-1(x). Properties of exponential functions like f(x)=ax and logarithmic functions like f(x)=logax are described. The product, quotient, and power rules for logarithms are outlined along with examples. Finally, it discusses how to solve exponential and logarithmic equations using properties of these functions.
The document discusses exponential functions of the form f(x) = ax, where a is the base. It defines exponential functions and provides examples of evaluating them. The key aspects of exponential graphs are that they increase rapidly as x increases and have a horizontal asymptote of y = 0 if a > 1 or y = 0 if 0 < a < 1. Examples are given of sketching graphs of exponential functions and stating their domains and ranges. The graph of the natural exponential function f(x) = ex is also discussed.
Calculus is used to determine the rate of change of a quantity. The document introduces differential calculus, which finds the rate of change by examining how a function changes over an infinitesimally small change in its input. It uses examples of calculating speed and slope to illustrate how taking a limit as the change approaches zero allows determining the rate of change at an exact point. Integral calculus is also introduced as the inverse operation that sums these rates of change.
An exponential function has the form y = a · bx, where a and b are constants and b must be greater than 0. This document discusses exponential functions through examples and explanations. It explores how changing the constants a and b impact the graph of the function. It also introduces the equality property of exponential functions, which states that if the bases are the same, the exponents can be set equal to solve equations. Several examples demonstrate how to use this property to solve equations involving exponential functions.
This document outlines the lecture schedule and topics for a course on Multivariate Calculus taught by Abdul Aziz. The course will cover partial derivatives of functions with two or more variables, including how to use partial derivatives to find maximum and minimum values. It will also discuss level curves, tangent planes, and rates of change for multivariate functions. Quizzes and exercises are included to help students practice these concepts.
This document discusses the definition, notation, history, and applications of derivatives. It begins by defining a derivative as the instantaneous rate of change of a quantity with respect to another. It then discusses differentiation, derivative notation, and the history of derivatives developed by Newton and Leibniz. Real-life applications described include using derivatives in automobiles, radar guns, and analyzing graphs. Derivatives are also applied in physics to calculate velocity and acceleration, and in mathematics to find extreme values and use the Mean Value Theorem.
Here are the steps to solve this problem:
(a) Let t = time and y = height. Then the differential equation is:
dy/dt = -32 ft/sec^2
Integrate both sides:
∫dy = ∫-32 dt
y = -32t + C
Initial conditions: at t = 0, y = 0
0 = -32(0) + C
C = 0
Therefore, the equation is: y = -32t
When y = 0 (the maximum height), t = 0.625 sec
(b) Put t = 0.625 sec into the equation:
y = -32(0.625) = -20 ft
This document is a presentation submitted by a group of 6 mechanical engineering students to their professor. It contains an introduction, definitions of derivatives, a brief history of derivatives attributed to Newton and Leibniz, and applications of derivatives in various fields such as automobiles, radar guns, business, physics, biology, chemistry, and mathematics. It also provides rules and examples of calculating derivatives using power, multiplication by constant, sum, difference, product, quotient and chain rules.
Applications of differential equation in Physics and BiologyAhamed Yoonus S
This document discusses several applications of differential equations in physics. It provides examples of how differential equations are used to model radioactive decay, linear and projectile motion, harmonic oscillations, and more. Solving these differential equations provides insights into the physical processes being modeled and has allowed technological progress across many scientific disciplines. Differential equations are necessary to describe most physical phenomena accurately because real-world relationships are typically non-linear rather than linear.
Finding the Extreme Values with some Application of Derivativesijtsrd
There are many different way of mathematics rules. Among them, we express finding the extreme values for the optimization problems that changes in the particle life with the derivatives. The derivative is the exact rate at which one quantity changes with respect to another. And them, we can compute the profit and loss of a process that a company or a system. Variety of optimization problems are solved by using derivatives. There were use derivatives to find the extreme values of functions, to determine and analyze the shape of graphs and to find numerically where a function equals zero. Kyi Sint | Kay Thi Win "Finding the Extreme Values with some Application of Derivatives" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29347.pdf Paper URL: https://www.ijtsrd.com/mathemetics/other/29347/finding-the-extreme-values-with-some-application-of-derivatives/kyi-sint
This document contains lecture slides on engineering mathematics from Sayed Chhattan Shah. It introduces differential equations and their applications. Some key points covered include:
- A differential equation relates a function to its derivatives. The functions often represent physical quantities and the derivatives represent rates of change.
- Ordinary differential equations have one independent variable, while partial differential equations have two or more.
- Methods for solving differential equations include separation of variables, integrating factors, and numerical methods like Euler's method.
- Applications include Newton's laws of motion and cooling, and population growth models.
- Second order differential equations have solutions called complementary functions and particular integrals.
Maths Investigatory Project Class 12 on DifferentiationSayanMandal31
This document provides an overview of differentiation and its applications. It defines differentiation as finding the slope of the tangent line to a function's graph at a given point, which provides the instantaneous rate of change. The document then lists the group members working on the topic, outlines the contents to be covered, and gives a brief history of differentiation. It provides definitions and graphical understandings of derivatives, discusses some basic differentiation formulas and their applications in mathematics, sciences, business, physics, chemistry and more. It concludes that derivatives are constantly used to measure rates of change in various everyday and professional contexts.
Comparision of flow analysis through a different geometry of flowmeters using...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document provides an overview of differentiation and derivatives. It defines the derivative as the instantaneous rate of change of a quantity with respect to another. The process of finding derivatives is called differentiation. Isaac Newton and Gottfried Leibniz developed the fundamental theorem of calculus in the 17th century. Derivatives have many applications across various sciences such as physics, biology, economics, and chemistry. They are used to calculate velocity, acceleration, population growth rates, marginal costs/revenues, reaction rates, and more.
Meltblowing ii-linear and nonlinear waves on viscoelastic polymer jetsVinod Kumar
This document discusses linear and nonlinear waves on viscoelastic polymer jets in meltblowing processes. It first presents the governing equations for unperturbed straight polymer jets under the influence of a high-speed surrounding gas jet. It considers the effects of polymer viscoelasticity using an upper-convected Maxwell model. It then analyzes small perturbations using linear stability theory. Finally, it discusses the numerical solution of the fully nonlinear governing equations for large-amplitude bending perturbations, considering both isothermal and nonisothermal cases where jet cooling can arrest perturbation growth.
Differential Equation, Maths, Real LifeIRJET Journal
Differential equations are important branches of applied mathematics that have been used since the 17th century. They were independently developed by Isaac Newton and Gottfried Leibniz. There are several types of differential equations classified based on variables, order, degree, homogeneity, and linearity. Ordinary differential equations contain functions of one independent variable while partial differential equations contain two or more. Linear differential equations are additive, while nonlinear equations are not. Differential equations have many applications in fields like physics, engineering, biology, economics and medicine to model real-life phenomena like planetary motion, growth of bacteria, circuit analysis, and more. The document provides examples of differential equations used in areas such as fluid mechanics, thermodynamics,
application of differential equation and multiple integraldivya gupta
This document discusses differential equations and their applications. It begins by defining differential equations as mathematical equations that relate an unknown function to its derivatives. There are two types: ordinary differential equations involving one variable, and partial differential equations involving two or more variables. Applications are given for modeling physical systems involving mass, springs, dampers, fluid dynamics, heat transfer, and rigid body dynamics. The document also discusses surface and volume integrals involving vectors, with examples of calculating fluid flow rates and mass of water in a reservoir. Differential equations and multiple integrals find diverse applications in engineering fields.
This document discusses dimensional analysis and model analysis. It begins by introducing dimensional analysis as a technique that uses the dimensions of physical quantities to understand phenomena. It then describes the two types of dimensions: fundamental dimensions like length, time, and mass, and secondary dimensions that are combinations of fundamental ones, like velocity.
It presents the methodology of dimensional analysis, which requires equations to be dimensionally homogeneous. Two common methods are described: Rayleigh's method and Buckingham's pi-theorem. Rayleigh's method can be used for up to 4 variables while Buckingham's pi-theorem groups variables into dimensionless pi-terms. Model analysis is introduced as an experimental method using scale models, and the importance of similitude or
This document is Scott Shermer's master's thesis on instantons and perturbation theory in the 1-D quantum mechanical quartic oscillator. It begins by reviewing the harmonic oscillator and perturbation theory. It then discusses non-perturbative phenomena like instantons and Borel resummation. The focus is on obtaining the ground state energy of the quartic oscillator Hamiltonian using both perturbative and non-perturbative techniques, and addressing ambiguities that arise for negative coupling.
The document discusses derivatives and their applications. It begins by introducing derivatives and defining them as the rate of change of a function near an input value. It then discusses rules for finding derivatives such as the constant multiple rule, sum and difference rules, product rule, and quotient rule. Examples are given to illustrate applying these rules. The document also covers composite functions, inverse functions, second derivatives, and applications of derivatives in physics for problems involving velocity and acceleration.
This document discusses various methods for finding the roots of equations, including bracketing methods like bisection and false position, open methods like fixed point iteration and Newton-Raphson, and the secant method. It provides formulas and explanations of how each method works to successively approximate a root through iterative calculations. Examples are given of applying the methods to solve engineering problems involving equations of state.
The document discusses transport phenomena and provides definitions and examples of key concepts in vector and tensor analysis used to describe transport phenomena. It defines transport phenomena as dealing with the movement of physical quantities in chemical or mechanical processes. There are three main types of transport: momentum, energy, and mass transport. Vector and tensor quantities like velocity, stress, and strain gradient are used to describe transport phenomena. Tensors have a magnitude and direction(s) and transform under coordinate system rotations. The document provides examples of scalar, vector, and tensor notation and the Kronecker delta, alternating unit tensor, and mathematical operations on vectors like addition, dot product, and cross product.
A study-to-understand-differential-equations-applied-to-aerodynamics-using-cf...zoya rizvi
This document discusses computational fluid dynamics (CFD) and its application to aerodynamics. It begins by introducing CFD and the governing equations of fluid dynamics - the continuity, momentum, and energy equations. These partial differential equations can be used to model fluid flow. The document then examines the finite control volume approach and substantial derivative used to develop the Navier-Stokes equations from fundamental principles. An example application of CFD to aerodynamics is provided. The document aims to explain the methodology of CFD, including establishing the governing equations and interpreting results.
This document summarizes a research paper on algorithms for planning s-curve motion profiles.
The paper generalizes the model of polynomial s-curve motion profiles in a recursive form. It then proposes a general algorithm to design s-curve trajectories in a time-optimal manner. The algorithm calculates the time periods for connecting trajectory segments to generate a smooth path that meets velocity and acceleration limits. Experimental results on a linear motor system demonstrate the effectiveness of the algorithms in generating s-curve motion profiles.
This document summarizes research on algorithms for planning smooth S-curve motion profiles. It begins by introducing S-curves and their advantages over trapezoidal profiles in reducing vibration. It then generalizes the polynomial S-curve model in a recursive form and presents a general algorithm to design S-curve trajectories in a time-optimal manner. Experimental results on a linear motor system show the effectiveness of 3rd, 4th, and 5th order S-curve profiles generated by the algorithms. Additionally, a trigonometric jerk model for S-curves is proposed as an alternative approach.
The document discusses dimensional analysis, similitude, and model analysis. It provides background on how dimensional analysis and model testing are used to study fluid mechanics problems. Dimensional analysis uses the dimensions of physical quantities to determine which parameters influence a phenomenon. Model testing in a laboratory allows measurements to be applied to larger scale systems using similitude. Buckingham's π-theorem is introduced as a way to non-dimensionalize variables when there are more variables than fundamental dimensions. Rayleigh's and Buckingham's methods are demonstrated on an example of determining the resisting force on an aircraft.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Gas agency management system project report.pdfKamal Acharya
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
2. Department of Civil Engineering
University Of Somalia
CHAPTER 3
THE DERIVATIVE
3. Department of Civil Engineering
University Of Somalia
Introduction
Many real-world phenomena involve changing quantities —
the speed of a rocket, the inflation of currency, the number of
bacteria in a culture, the shock intensity of an earthquake, the
voltage of an electrical signal, and so forth.
In this chapter we will develop the concept of a “derivative,”
which is the mathematical tool for studying the rate at which
one quantity changes relative to another.
The study of rates of change is closely related to the geometric
concept of a tangent line to a curve, so we will also be
discussing the general definition of a tangent line and methods
for finding its slope and equation.
4. Department of Civil Engineering
University Of Somalia
Outline
Here is a listing and brief description of the material in
this set of notes.
• Tangent lines and rates of change – In this section we define
the derivative, give various notations for the derivative and
work a few problems
• The Derivative of Functions – In this section we give most of
the general derivative formulas and properties used when
taking the derivative of a function.
• The rules of derivatives – In this section we will give
important formulas for differentiating functions.
5. Department of Civil Engineering
University Of Somalia
Outline
• Derivative of Trigonometry functions – In this section we will
discuss differentiating trig functions.
• The Chain Rule – In this section we discuss one of the more
useful and important differentiation formulas, The Chain Rule.
• Implicit Differentiation– In this section we will discuss
implicit differentiation. Not every function can be explicitly
written in terms of the independent variable.
6. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Introduction
In this section we will discuss three ideas: tangent lines to
curves, the velocity of an object moving along a line, and the
rate at which one variable changes relative to another.
Our goal is to show how these seemingly unrelated ideas are,
in actuality, closely linked.
7. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Tangent Line
We showed how the notion of a limit could be used to find an
equation of a tangent line to a curve.
At that stage in the text we did not have precise definitions of
tangent lines and limits to work with, so the argument was
intuitive and informal.
8. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Tangent Line
Suppose that xo is in the domain of the function f. The tangent
line to the curve y =f(x) at the point P(xo, f(xo)) is the line with
equation
𝑦 − 𝑓 𝑥 𝑜 = 𝑚 𝑡𝑎𝑛(𝑥 − 𝑥 𝑜)
Where
𝑚 𝑡𝑎𝑛 = lim
𝑥→𝑥 𝑜
𝑓 𝑥 − 𝑓 𝑥 𝑜
𝑥 − 𝑥 𝑜
9. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Tangent Line
There is an alternative way of expressing equation (1) that is
commonly used. If we let h denote the difference
ℎ = 𝑥 − 𝑥 𝑜
then the statement that x→x0 is equivalent to the statement
h→0, so we can rewrite (1) in terms of xo and h as
𝑚 𝑡𝑎𝑛 = lim
ℎ→0
𝑓 𝑥 𝑜 + ℎ − 𝑓 𝑥
ℎ
10. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Velocity
One of the important themes in calculus is the study of motion.
To describe the motion of an object completely, one must
specify its speed (how fast it is going) and the direction in
which it is moving.
The speed and the direction of motion together comprise what
is called the velocity of the object.
11. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Velocity
For example, knowing that the speed of an aircraft is 500 mi/h
tells us how fast it is going, but not which way it is moving.
In contrast, knowing that the velocity of the aircraft is 500
mi/h due south pins down the speed and the direction of
motion.
12. Department of Civil Engineering
University Of Somalia
3.1 Tangent lines and rates of change
Slopes and Rate of change
Velocity can be viewed as rate of change — the rate of change
of position with respect to time. Rates of change occur in other
applications as well. For example:
A microbiologist might be interested in the rate at which the
number of bacteria in a colony changes with time.
An engineer might be interested in the rate at which the length
of a metal rod changes with temperature.
A medical researcher might be interested in the rate at which
the radius of an artery changes with the concentration of
alcohol in the bloodstream.
13. Department of Civil Engineering
University Of Somalia
3.2 The Derivative of Function
Introduction
In this section we will discuss the concept of a “derivative,”
which is the primary mathematical tool that is used to calculate
and study rates of change.
14. Department of Civil Engineering
University Of Somalia
3.2 The Derivative of Function
Introduction
In the last section we showed that if the limit exists
lim
ℎ→0
𝑓 𝑥 𝑜 + ℎ − 𝑓 𝑥
ℎ
Then it can be interpreted either as the slope of the tangent line
to the curve y =f(x) at x =x0.
15. Department of Civil Engineering
University Of Somalia
3.2 The Derivative of Function
Definition
The function 𝑓′ defined by the formula
𝑓′ 𝑥 = lim
ℎ→0
𝑓 𝑥 + ℎ − 𝑓 𝑥
ℎ
is called the derivative of f with respect to x.
The domain of 𝑓 consists of all 𝑥 in the domain of 𝑓 for which
the limit exists.
The term “derivative” is used because the function 𝑓 is derived
from the function 𝑓 by a limiting process.
16. Department of Civil Engineering
University Of Somalia
3.2 The Derivative of Function
Examples
Find the derivative with respect to x of
i. 𝑓 𝑥 = 𝑥
ii. 𝑓 𝑥 = 𝑥2
iii. 𝑓 𝑥 = 𝑥3
iv. 𝑓 𝑥 = 16𝑥 + 35
v. 𝑓 𝑥 = 7𝑥2+10x
17. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Introduction
In the last section we defined the derivative of a function f as a
limit, and we used that limit to calculate a few simple
derivatives.
In this section we will develop some important theorems that
will enable us to calculate derivatives more efficiently.
18. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Notations
f x “f prime x” or “the derivative of f with respect to x”
y “y prime”
dy
dx
“dee why dee ecks” or “the derivative of y with respect
to x”
df
dx
“dee eff dee ecks” or “the derivative of f with respect to
x”
d
f x
dx
“dee dee ecks uv eff uv ecks” or “the derivative of f of x”
19. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Constant
The simplest kind of function is a constant function 𝑓 𝑥 = 𝑐.
Since the graph of 𝑓 is a horizontal line of slope 0, the tangent
line to the graph of 𝑓 has slope 0 for every x and hence we can
see geometrically that 𝑓 𝑥 = 0 (Figure 2.3.1).
20. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Constant
We can also see this algebraically since
𝑓′ 𝑥 = lim
ℎ→0
𝑓 𝑥 𝑜 + ℎ − 𝑓 𝑥
ℎ
= lim
ℎ→0
𝑐 − 𝑐
ℎ
= lim
ℎ→0
= 0
The derivative of a constant function is 0; that is, if c is any
real number, then
𝑑
𝑑𝑥
𝑐 = 0
21. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Constant
Examples
i.
𝑑
𝑑𝑥
1 = 0
ii.
𝑑
𝑑𝑥
−3 = 0
iii.
𝑑
𝑑𝑥
π = 0
iv.
𝑑
𝑑𝑥
− 2 = 0
v.
𝑑
𝑑𝑥
100 = 0
22. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Power Function
The simplest power function is 𝑓 𝑥 = 𝑐. Since the graph of
𝑓 is a line of slope 1, 𝑓′
𝑥 = 1 or in other words
𝑑
𝑑𝑥
𝑥 = 1
(The Power Rule) If n is an integer, then
𝑑
𝑑𝑥
𝑥 𝑛
= 𝑛𝑥 𝑛−1
23. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Power Function
Examples
i.
𝑑
𝑑𝑥
𝑥4 = 4𝑥3
ii.
𝑑
𝑑𝑥
𝑥5
= 5𝑥4
iii.
𝑑
𝑑𝑡
𝑡12 = 12𝑡11
iv.
𝑑
𝑑𝑥
𝑥7
= 7𝑥6
v.
𝑑
𝑑𝑡
𝑡−10 = −10𝑥−11
24. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Constant Times a Function
(Constant Multiple Rule) If 𝑓 is differentiable at 𝑥 and 𝑐 is any
real number, then c𝑓 is also differentiable at 𝑥 and
𝑑
𝑑𝑥
𝑐𝑓(𝑥) = 𝑐
𝑑
𝑑𝑥
𝑓(𝑥)
𝑐𝑓 ′ = 𝑐𝑓′
25. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of a Constant Times a Function
Examples
i.
𝑑
𝑑𝑥
4𝑥8
ii.
𝑑
𝑑𝑥
−2𝑥12
iii.
𝑑
𝑑𝑥
5𝑥4
iv.
𝑑
𝑑𝑥
4𝑥−4
v.
𝑑𝑦
𝑑𝑥
3
𝑥4
26. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of Sums and Differences
(Sum and Difference Rules) If f and g are differentiable at x,
then so are 𝑓 + 𝑔 and 𝑓 − 𝑔 and
In words, the derivative of a sum equals the sum of the
derivatives, and the derivative of a difference equals the
difference of the derivatives.
𝑑
𝑑𝑥
𝑓 𝑥 ± 𝑔(𝑥) =
𝑑
𝑑𝑥
𝑓(𝑥) ±
𝑑
𝑑𝑥
𝑔(𝑥)
𝑓 ± 𝑔 ′
= 𝑓′
± 𝑔′
27. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative of Sums and Differences
Examples
i. 𝑦 = 2𝑥6 + 𝑥−4
ii. 𝑓 𝑥 = 𝑥3
− 3𝑥2
+ 4
iii. 𝑓 𝑥 =
8
𝑥3 − 2𝑥4 + 6𝑥2 − 4
iv. 𝑓 𝑥 = 3𝑥8 − 2𝑥2 + 4𝑥 + 1
v. 𝑓 𝑥 = 𝑥5
+ 5𝑥2
& 𝑔 𝑥 = 43
− 7𝑥 𝑓 ± 𝑔 ′
28. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Higher Derivatives
The derivative 𝑓′ of a function 𝑓 is itself a function and hence
may have a derivative of its own.
If 𝑓′ is differentiable, then its derivative is denoted by 𝑓′′and
is called the second derivative of 𝑓.
𝑓, 𝑓′′ = 𝑓′ ′, 𝑓′′′ = 𝑓′′ ′, 𝑓′′′ = 𝑓′′ ′
29. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Higher Derivatives
Examples
i. 𝑓 𝑥 = 3𝑥4 − 2𝑥3 + 𝑥2 − 4𝑥 + 2
ii. 𝑓 𝑥 = 10𝑥4
+ 6𝑥3
− 5𝑥2
+ 20𝑥 − 4
iii. 𝑓 𝑥 = 2𝑥5 + 4𝑥4 − 10𝑥3 + 8𝑥3 + 𝑥 − 5
30. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Product
• (The Product Rule) If 𝑓 and 𝑔 are differentiable at 𝑥, then so is
the product 𝑓 ∙ 𝑔, and
• In words, the derivative of a product of two functions is the
first function times the derivative of the second plus the second
function times the derivative of the first.
𝑑
𝑑𝑥
𝑓 𝑥 ∙ 𝑔(𝑥) = 𝑓 𝑥
𝑑
𝑑𝑥
𝑔(𝑥) +
𝑑
𝑑𝑥
𝑓(𝑥) 𝑔(𝑥)
𝑓 ∙ 𝑔 ′ = 𝑓 ∙ 𝑔′ + 𝑓′ ∙ 𝑔
31. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Product
Examples
i. 4𝑥2 − 1 7𝑥3 + 𝑥 𝑓 ∙ 𝑔 ′
ii. 3𝑥3
− 3𝑥 2𝑥 − 10 𝑓 ∙ 𝑔 ′
iii. 𝑥2 − 2 𝑥3 − 5 𝑓 ∙ 𝑔 ′
32. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Classwork
Find the derivatives of the given functions
i. 𝑓 𝑥 = 𝑥
ii.
𝑑
𝑑𝑥
=
𝜋
𝑥
iii. 𝑦 = 5𝑥3 + 12𝑥2 − 15
iv. 𝑦 = −6𝑥5 + 3𝑥2 − 51𝑥
v. 𝑓 𝑥 = (𝑥2
−3𝑥 + 2) & 𝑔 𝑥 = (2𝑥3
− 5𝑥) 𝑓 ± 𝑔 ′
33. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Classwork
Find the derivatives of the given functions
vi. 𝑦 = 3𝑥4
+ 2𝑥7
− 7𝑥−3
+ 4𝑥 𝑓′′
′
vii. 𝑦 = 4𝑥5
− 2𝑥4
+ 9𝑥3
+ 10𝑥−2
− 13𝑥 𝑓′′
′
viii. 𝑦 = 𝑥2 + 3𝑥 2
ix. 3𝑥2 + 6 2𝑥 − 4 𝑓 ∙ 𝑔 ′
34. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Homework
Find the derivatives of the given functions
i. 𝑦 = 3𝑥2 − 𝑥3 + 15𝑥2 − 𝑥
ii. 𝑦 = 𝑥3
+ 2𝑥2
+ 4𝑥
iii. 𝑓 𝑥 = (𝑥3−3𝑥2) & 𝑔 𝑥 = (4𝑥3 − 12𝑥2 + 2)
𝑓 ± 𝑔 ′
iv. 𝑦 = 2𝑥4 + 4𝑥3 − 30𝑥2 + 3𝑥 + 4 𝑓′′′
v. 3𝑥 − 5 2𝑥 + 3 𝑓 ∙ 𝑔 ′
35. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Homework
Find the derivatives of the given functions
vi. 𝑥 − 2 2 𝑥2 + 2𝑥 + 4 𝑓 ∙ 𝑔 ′
vii. 4𝑥2
+ 3𝑥 2
10𝑥2
+ 4𝑥 𝑓 ∙ 𝑔 ′
36. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Quotient
• Just as the derivative of a product is not generally the product
of the derivatives,
• so the derivative of a quotient is not generally the quotient of
the derivatives.
• The correct relationship is given by the following theorem.
37. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Quotient
• (The Quotient Rule) If 𝑓 and 𝑔 are both differentiable at 𝑥 and
if 𝑔(𝑥) ≠ 0, then 𝑓
𝑔 is differentiable at 𝑥 and
𝑑
𝑑𝑥
𝑓 𝑥
𝑔(𝑥)
=
𝑔 𝑥
𝑑
𝑑𝑥
𝑓 𝑥 − 𝑓 𝑥
𝑑
𝑑𝑥
𝑔(𝑥)
𝑔(𝑥) 2
𝑓
𝑔
′
=
𝑓′ ∙ 𝑔 − 𝑓 ∙ 𝑔′
𝑔2
38. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Quotient
Examples
i. 𝑓 𝑥 =
𝑥3+2𝑥2−1
𝑥+5
ii. 𝑓 𝑥 =
𝑥2−1
𝑥4+1
iii. 𝑓 𝑥 =
3𝑥2
𝑥2+2
iv. 𝑓 𝑥 =
4𝑥+4
𝑥−3
39. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Derivative a Quotient
Examples
v. 𝑓 𝑥 =
2𝑥2+5
3𝑥−4
vi. 𝑓 𝑥 =
𝑥2+𝑥−2
𝑥3+6
vii. 𝑓 𝑥 =
𝑥+4 2
5𝑥3+12𝑥2
40. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Summary Of Differentiation Rules
41. Department of Civil Engineering
University Of Somalia
3.3 The Rules of Derivative
Classwork
Find the derivatives of the given functions
i. 𝑓 𝑥 =
𝑥2−1
𝑥2+2
ii. 𝑓 𝑥 =
𝑥3−10
2𝑥2
iii. 𝑓 𝑥 =
3𝑥+4
𝑥2+1
iv. 𝑓 𝑥 =
2𝑥2+4𝑥−6
𝑥2+3𝑥
42. Department of Civil Engineering
University Of Somalia
3.4 The Derivative of Trigonometric Functions
Introduction
• The main objective of this section is to obtain formulas for the
derivatives of the six basic trigonometric functions.
• We will assume in this section that the variable x in the
trigonometric functions sin x, cos x, tan x, cot x ,sec x, and
csc x is measured in radians
43. Department of Civil Engineering
University Of Somalia
3.4 The Derivative of Trigonometric Functions
Introduction
• The derivatives of the six basic trigonometric functions are:-
44. Department of Civil Engineering
University Of Somalia
3.4 The Derivative of Trigonometric Functions
Examples
i.
𝑑
𝑑𝑥
5 sin 𝑥 + 4 tan 𝑥
ii.
𝑑
𝑑𝑥
𝑥2 + sin 𝑥 + 4 cos 𝑥
iii.
𝑑
𝑑𝑥
8 s𝑒𝑐 𝑥 − 5 cos 𝑥
iv.
𝑑
𝑑𝑥
𝑥 sin 𝑥
v.
𝑑
𝑑𝑥
𝑥2 sin 𝑥
45. Department of Civil Engineering
University Of Somalia
3.4 The Derivative of Trigonometric Functions
Examples
vi.
𝑑
𝑑𝑥
𝑥2 sin 𝑥 tan 𝑥
vii.
𝑑
𝑑𝑥
𝑥3
𝑐𝑜𝑠𝑥
viii.
𝑑
𝑑𝑥
sin 𝑥
cos 𝑥
ix.
𝑑
𝑑𝑥
sin 𝑥
1+cos 𝑥
46. Department of Civil Engineering
University Of Somalia
3.4 The Derivative of Trigonometric Functions
Classwork
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
2 cot 𝑥 − 7 csc 𝑥
ii.
𝑑
𝑑𝑥
5 sin 𝑥 cos 𝑥 + 4 csc 𝑥
iii.
𝑑
𝑑𝑥
3 s𝑒𝑐 𝑥 − 10 co𝑡 𝑥
iv.
𝑑
𝑑𝑥
sin 𝑥
3−2co𝑡 𝑥
47. Department of Civil Engineering
University Of Somalia
3.5 Derivative Logarithmic functions
Introduction
In this section we will obtain derivative formulas for
exponential functions.
we will explain why the natural logarithm function is preferred
over logarithms with other bases in calculus.
48. Department of Civil Engineering
University Of Somalia
3.5 Derivative Logarithmic functions
Introduction
We will establish that 𝑓 𝑥 = ln 𝑥 is differentiable for 𝑥 > 0
by applying the derivative definition to 𝑓(𝑥).
To evaluate the resulting limit, we will need the fact that ln 𝑥 is
continuous for 𝑥 > 0 (Theorem 1.6.3), and we will need the
limit
𝑑
𝑑𝑥
𝑙𝑛 𝑢 =
𝑢′
𝑢
49. Department of Civil Engineering
University Of Somalia
3.5 Derivative Logarithmic functions
Examples
i.
𝑑
𝑑𝑥
𝑙𝑛 𝑥
ii.
𝑑
𝑑𝑥
𝑙𝑛 𝑥2
iii.
𝑑
𝑑𝑥
𝑙𝑛 3𝑥3
iv.
𝑑
𝑑𝑥
𝑙𝑛 𝑥 + 5
v.
𝑑
𝑑𝑥
𝑙𝑛(𝑠𝑖𝑛𝑥)
vi.
𝑑
𝑑𝑥
𝑙𝑛 7𝑥 + 5 − 𝑥3
50. Department of Civil Engineering
University Of Somalia
3.5 Derivative Logarithmic functions
Classwork
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
𝑙𝑛 𝑥3
ii.
𝑑
𝑑𝑥
𝑙𝑛 4𝑥4
+ 6𝑥2
iii.
𝑑
𝑑𝑥
𝑙𝑛 6𝑥
iv.
𝑑
𝑑𝑥
𝑙𝑛 3𝑥 + 4
v.
𝑑
𝑑𝑥
𝑙𝑛 3𝑥5 + 5𝑥−2 + 4𝑥
51. Department of Civil Engineering
University Of Somalia
3.6 Derivative of Exponential
Introduction
In this section we will obtain derivative formulas for
exponential functions.
To differentiate exponential function, Let u is a differentiable
function of x, then the equation is
𝑑
𝑑𝑥
𝑒 𝑢 = 𝑒 𝑢 𝑢′
52. Department of Civil Engineering
University Of Somalia
3.6 Derivative of Exponential
Examples
i.
𝑑
𝑑𝑥
𝑒 𝑥
ii.
𝑑
𝑑𝑥
𝑒5𝑥+3
iii.
𝑑
𝑑𝑥
𝑒 𝑥3+8𝑥
iv.
𝑑
𝑑𝑥
𝑒sin 𝑥
v.
𝑑
𝑑𝑥
𝑥3 𝑒4𝑥
53. Department of Civil Engineering
University Of Somalia
3.6 Derivative of Exponential
Classwork
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
𝑒 𝑥2
ii.
𝑑
𝑑𝑥
3𝑥2
𝑒4𝑥2
iii.
𝑑
𝑑𝑥
𝑒3𝑥3+6𝑥
iv.
𝑑
𝑑𝑥
𝑒cos 𝑥
v.
𝑑
𝑑𝑥
tan 𝑥 𝑒 𝑥2
54. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Introduction
In this section we will derive a formula that expresses the
derivative of a composition 𝑓°𝑔 in terms of the derivatives of
𝑓 and 𝑔.
This formula will enable us to differentiate complicated
functions using known derivatives of simpler functions.
55. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Generalized Derivative Formulas
We can rewrite the generalized derivative formula by using the
derivative of 𝑓(𝑥) to produce the derivative of 𝑓(𝑢) , where u
is a function of x.
𝑑
𝑑𝑥
𝑓 𝑔 𝑥 = 𝑓′
𝑔 𝑥 𝑔′
𝑑
𝑑𝑥
𝑈 𝑛 = 𝑛 𝑈 𝑛−1 𝑈′
56. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Examples
i.
𝑑
𝑑𝑥
5𝑥 + 8 4
ii.
𝑑
𝑑𝑥
10𝑥2 − 3 3
iii.
𝑑
𝑑𝑥
4𝑥3 + 3𝑥2 − 5𝑥 6
iv.
𝑑
𝑑𝑥
sin(6𝑥)
v.
𝑑
𝑑𝑥
cos 𝑥2
vi.
𝑑
𝑑𝑥
𝑙𝑛 𝑥 7
57. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Examples
vii.
𝑑
𝑑𝑥
1
𝑥2+8𝑥 3
viii.
𝑑
𝑑𝑥
2𝑥−3
4+5𝑥
4
58. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Classwork
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
6𝑥4 + 7𝑥2 + 3 3
ii.
𝑑
𝑑𝑥
sec (4𝑥)
iii.
𝑑
𝑑𝑥
tan 𝑥3
iv.
𝑑
𝑑𝑥
𝑙𝑛 𝑥3 3
v.
𝑑
𝑑𝑥
𝑥3 − 7
59. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Classwork
Find the derivatives of the given functions
vi.
𝑑
𝑑𝑥
6 𝑥3 + 2𝑥 100
60. Department of Civil Engineering
University Of Somalia
3.5 Derivative Logarithmic functions
Homework
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
𝑙𝑛 4𝑥3 + 15𝑥
ii.
𝑑
𝑑𝑥
𝑙𝑛 100𝑥
iii.
𝑑
𝑑𝑥
𝑙𝑛 10𝑥10 + 15𝑥2 + 4
iv.
𝑑
𝑑𝑥
𝑙𝑛 sec 𝑥
61. Department of Civil Engineering
University Of Somalia
3.6 Derivative of Exponential
Homework
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
𝑒50𝑥2
ii.
𝑑
𝑑𝑥
10𝑥3
𝑒4𝑥2
iii.
𝑑
𝑑𝑥
𝑒4𝑥2+2𝑥−6
iv.
𝑑
𝑑𝑥
𝑒ta𝑛 𝑥
62. Department of Civil Engineering
University Of Somalia
3.7 The Chain rule
Homework
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
20𝑥−4 + 3𝑥2 + 8𝑥 6
ii.
𝑑
𝑑𝑥
csc (4𝑥)
iii.
𝑑
𝑑𝑥
tan(𝑥3 + 4)
iv.
𝑑
𝑑𝑥
𝑥3 − csc 𝑥
63. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Introduction
Up to now we have been concerned with differentiating
functions that are given by equations of the form y = (𝑓 𝑥 ).
In this section we will consider methods for differentiating
functions for which it is inconvenient or impossible to express
them in this form.
64. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Functions Defined Explicitly And Implicitly
Explicit equations are those that are solved for y. We say “the
variable y is explicitly written function of x.
Implicit equations are those not solved for y. As a result, we
must use or apply implicit differentiation.
y = 𝑥2 + 4𝑥 + 24
𝑥2 + 3𝑦3 + 4𝑦 = 2
65. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Functions Defined Explicitly And Implicitly
An equation of the form y = (𝑓 𝑥 ) is said to define y
explicitly as a function of 𝑥 because the variable 𝑦 appears
alone on one side of the equation and does not appear at all on
the other side.
However, sometimes functions are defined by equations in
which y is not alone on one side; for example,
𝑦𝑥 + 𝑦 + 1 = 𝑥
66. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Functions Defined Explicitly And Implicitly
The equation is not of the form y = (𝑓 𝑥 ), but it still defines
y as a function of 𝑥 since it can be rewritten as
𝑦 =
𝑥 − 1
𝑥 + 1
67. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Steps Of Implicit Differentiation
Here are the steps for solving implicit differentiation
i. Differentiate both sides of equation with respect to x
ii. Apply the rules of differentiation if necessary.
iii. Isolate all terms with dy/dx
iv. Factor out dy/dx
v. Divide on both sides of the equation to isolate dy/dx
68. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Examples
i.
𝑑
𝑑𝑥
𝑥2 + 𝑦2 = 100
ii.
𝑑
𝑑𝑥
2𝑥2 − 3𝑦3 = 5
iii.
𝑑
𝑑𝑥
tan 𝑥𝑦 = 7
iv.
𝑑
𝑑𝑥
36 = 𝑥2 + 𝑦2
v.
𝑑
𝑑𝑥
5𝑥𝑦 − 𝑦3 = 8
vi. 4𝑥2 − 2𝑦2 = 9 ′′
69. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Examples
vii.
𝑑
𝑑𝑥
𝑥3 + 𝑥2 𝑦 + 4𝑦2 = 6
viii.
𝑑
𝑑𝑥
4 cos 𝑥 sin 𝑦 = 1
70. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Classwork
Find the derivatives of the given functions
i.
𝑑
𝑑𝑥
𝑥3 + 𝑦3 = 9
ii.
𝑑
𝑑𝑥
𝑥 + 𝑥𝑦 + 2𝑥3
= 2
iii.
𝑑
𝑑𝑥
2𝑥3 − 3𝑦2 = 4
iv.
𝑑
𝑑𝑥
5𝑦2
+ sin 𝑦 = 𝑥2
v.
𝑑
𝑑𝑥
(cos 𝑥𝑦2 = 10)
71. Department of Civil Engineering
University Of Somalia
3.8 The Implicit Differentiation
Classwork
Find the derivatives of the given functions
vi.
𝑑
𝑑𝑥
10𝑥2 𝑦 + 4𝑦4 = 2000
vii.
𝑑
𝑑𝑥
5𝑦3 − 3𝑥4 + tan 𝑥 = 5𝑥