The document discusses limits and how they are used to calculate the derivative of a function. It defines what it means for a sequence to approach a limit from the right or left side. Graphs and examples are provided to illustrate these concepts. The key rules for calculating limits are outlined, such as using algebra to split limits into their constituent parts. Common types of obvious limits are also stated, such as limits of constants or products involving constants.
The document discusses the concept of limits and clarifies the notation used to describe sequences approaching a number. It explains that saying "x approaches 0 from the right side" means the sequence values only become smaller than 0 after a finite number of terms. Similarly, approaching from the left means only finitely many terms are greater than 0. The direction a sequence approaches a number affects limits like the limit of |x|/x as x approaches 0.
The document discusses limits and derivatives. It explains that in calculating the derivative of f(x)=x^2 - 2x + 2, the slope formula was simplified. As h approaches 0, the chords slide towards the tangent line, so the slope at (x,f(x)) is 2x-2. It then provides definitions and explanations for what it means for a variable to approach 0 from the right, left, or in general, to clarify the procedure of obtaining slopes using limits.
The document discusses key concepts related to limits, continuity, and differentiation. It defines what it means for a variable x to approach a finite number a or infinity, and provides the formal definitions of one-sided limits and two-sided limits. It also discusses indeterminate forms when limits take on forms like 0/0, infinity/infinity, or infinity - infinity. The document outlines several properties of limits, including limits of even and odd functions. It distinguishes between the limit of a function as x approaches a, denoted limx→af(x), versus the function value at that point, f(a). Finally, it states standard theorems about limits, such as the sum and product of two functions whose limits exist
This document provides an overview of key calculus concepts including:
- Functions and function notation which are fundamental to calculus
- Limits which allow defining new points from sequences and are essential to calculus concepts like derivatives and integrals
- Derivatives which measure how one quantity changes in response to changes in another related quantity
- Types of infinity and limits involving infinite quantities or areas
The document defines functions, limits, derivatives, and infinity, and provides examples to illustrate these core calculus topics. It lays the groundwork for further calculus concepts to be covered like integrals, derivatives of more complex functions, and applications of limits, derivatives, and infinity.
The document defines different types of polynomials and their key properties. It discusses linear, quadratic, and cubic polynomials, and defines them based on their highest degree term. It also covers the degree of a polynomial, zeros of polynomials, and the relationship between the zeros and coefficients of quadratic and cubic polynomials. Finally, it discusses the division algorithm for polynomials.
The document discusses functions of several variables and concepts related to limits and continuity of such functions. It provides examples of functions of multiple variables, defines the limit of a function of two variables as the point approaches a value, and defines continuity of a function of two variables. It then gives three examples: 1) showing that a function's iterated limits exist but the simultaneous limit does not, 2) evaluating the limit of a function as the point approaches the origin, and 3) showing that a function is continuous at the origin.
The document discusses limits and continuity of functions. It provides examples of computing one-sided limits, limits at points of discontinuity, and limits involving algebraic, trigonometric, exponential and logarithmic functions. The key rules for limits include the properties of limits, the sandwich theorem, and limits of compositions of functions. Continuity of functions is defined as a function having a limit equal to its value at a point. Polynomials, trigonometric functions and exponentials are shown to be continuous everywhere they are defined.
The document discusses the epsilon-delta definition of a limit in calculus. It begins by explaining limits in vague terms before introducing the formal epsilon-delta definition. Examples are provided to demonstrate how to set up and solve epsilon-delta proofs to evaluate limits. The document also provides practice problems and discusses how to apply limits to real-world scenarios like finding the instantaneous velocity of a thrown graduation cap.
The document discusses the concept of limits and clarifies the notation used to describe sequences approaching a number. It explains that saying "x approaches 0 from the right side" means the sequence values only become smaller than 0 after a finite number of terms. Similarly, approaching from the left means only finitely many terms are greater than 0. The direction a sequence approaches a number affects limits like the limit of |x|/x as x approaches 0.
The document discusses limits and derivatives. It explains that in calculating the derivative of f(x)=x^2 - 2x + 2, the slope formula was simplified. As h approaches 0, the chords slide towards the tangent line, so the slope at (x,f(x)) is 2x-2. It then provides definitions and explanations for what it means for a variable to approach 0 from the right, left, or in general, to clarify the procedure of obtaining slopes using limits.
The document discusses key concepts related to limits, continuity, and differentiation. It defines what it means for a variable x to approach a finite number a or infinity, and provides the formal definitions of one-sided limits and two-sided limits. It also discusses indeterminate forms when limits take on forms like 0/0, infinity/infinity, or infinity - infinity. The document outlines several properties of limits, including limits of even and odd functions. It distinguishes between the limit of a function as x approaches a, denoted limx→af(x), versus the function value at that point, f(a). Finally, it states standard theorems about limits, such as the sum and product of two functions whose limits exist
This document provides an overview of key calculus concepts including:
- Functions and function notation which are fundamental to calculus
- Limits which allow defining new points from sequences and are essential to calculus concepts like derivatives and integrals
- Derivatives which measure how one quantity changes in response to changes in another related quantity
- Types of infinity and limits involving infinite quantities or areas
The document defines functions, limits, derivatives, and infinity, and provides examples to illustrate these core calculus topics. It lays the groundwork for further calculus concepts to be covered like integrals, derivatives of more complex functions, and applications of limits, derivatives, and infinity.
The document defines different types of polynomials and their key properties. It discusses linear, quadratic, and cubic polynomials, and defines them based on their highest degree term. It also covers the degree of a polynomial, zeros of polynomials, and the relationship between the zeros and coefficients of quadratic and cubic polynomials. Finally, it discusses the division algorithm for polynomials.
The document discusses functions of several variables and concepts related to limits and continuity of such functions. It provides examples of functions of multiple variables, defines the limit of a function of two variables as the point approaches a value, and defines continuity of a function of two variables. It then gives three examples: 1) showing that a function's iterated limits exist but the simultaneous limit does not, 2) evaluating the limit of a function as the point approaches the origin, and 3) showing that a function is continuous at the origin.
The document discusses limits and continuity of functions. It provides examples of computing one-sided limits, limits at points of discontinuity, and limits involving algebraic, trigonometric, exponential and logarithmic functions. The key rules for limits include the properties of limits, the sandwich theorem, and limits of compositions of functions. Continuity of functions is defined as a function having a limit equal to its value at a point. Polynomials, trigonometric functions and exponentials are shown to be continuous everywhere they are defined.
The document discusses the epsilon-delta definition of a limit in calculus. It begins by explaining limits in vague terms before introducing the formal epsilon-delta definition. Examples are provided to demonstrate how to set up and solve epsilon-delta proofs to evaluate limits. The document also provides practice problems and discusses how to apply limits to real-world scenarios like finding the instantaneous velocity of a thrown graduation cap.
This document discusses limits involving infinity. It defines an infinite limit as one where the function tends to positive or negative infinity as the variable approaches a value. An infinite limit is written as lim f(x) = +∞ if it tends to positive infinity, and lim f(x) = -∞ if it tends to negative infinity. As an example, the limit of the function f(x) = 1/(x-4)2 as x approaches 4 is written as lim f(x) = ∞, since the function grows without stopping as x gets closer to 4.
GATE Engineering Maths : Limit, Continuity and DifferentiabilityParthDave57
This document provides an overview of key concepts in calculus including functions, limits, continuity, and differentiation. It defines a function as a relationship where each input has a single output. Limits describe the behavior of a function as the input value approaches a number. A function is continuous if its limit equals the function value. A function is differentiable at a point if the limit of its difference quotient exists, with the left and right derivatives needing to be equal. Examples are provided to illustrate these fundamental calculus topics.
This document discusses infinite limits, limits at infinity, and limit rules. It begins by explaining that the limits of 1/x as x approaches 0 from the left and right do not exist as real numbers, but it is useful to describe the behavior as approaching positive and negative infinity. It then discusses properties of infinite limits, including one-sided limits and examples. The document proceeds to define vertical asymptotes and provide examples of determining asymptotes. It concludes by covering limit rules that can be used to evaluate limits more easily, such as sum, difference, product, and quotient rules, as well as the sandwich theorem.
The document outlines key calculus concepts including:
- Functions, derivatives, differentiation rules, and the definition of a derivative as an infinitesimal change in a function with respect to a variable.
- Concepts related to derivatives such as local/absolute extrema, critical points, increasing/decreasing functions, concavity, asymptotes, and inflection points.
- How to use the first and second derivative tests to determine local extrema, concavity, and increasing/decreasing behavior.
1) L'Hospital's rule can be used to evaluate indeterminate limits of the form 0/0 and ∞/∞ by taking the derivative of the numerator and denominator.
2) Some common types of indeterminate forms are 00, ∞0, 1∞, and ∞-∞. Special methods may be needed to evaluate limits that are indeterminate forms of ∞-∞.
3) Several example limits are evaluated step-by-step using L'Hospital's rule and other techniques to convert indeterminate forms.
This document discusses how to calculate limits of functions as the input value approaches a given number. It explains how to build left and right tables to determine one-sided limits and check if the left and right limits are equal to determine if the overall limit exists. It also discusses special cases for calculating limits of rational functions and limits as the input approaches infinity. The key steps are to identify the terms with the highest powers, eliminate lesser terms, simplify, and substitute the given input value.
I am Frank P. I am a Physical Chemistry Assignment Expert at eduassignmenthelp.com. I hold a Ph.D. in Physical Chemistry, from Malacca, Malaysia. I have been helping students with their homework for the past 6 years. I solve assignments related to Physical Chemistry.
Visit eduassignmenthelp.com or email info@eduassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Physical Chemistry Assignments.
The document discusses limits, continuity, and related concepts. Some key points:
1) It defines the concept of a limit and explains how to evaluate one-sided and two-sided limits. A limit exists only if the left and right-sided limits are equal.
2) Continuity is defined as a function being defined at a point, and the limit existing and being equal to the function value. Functions like tan(x) are only continuous where the denominator is not 0.
3) Theorems are presented for evaluating limits of polynomials, sums, products, quotients of continuous functions, and the squeeze theorem. Piecewise functions may or may not be continuous depending on behavior at points of discontin
This PowerPoint presentation covers polynomials, including:
- Definitions of polynomials, monomials, binomials, trinomials, and the degree of a polynomial.
- The geometric meaning of zeros of polynomials - linear polynomials have one zero, quadratics have up to two zeros, and cubics have up to three.
- The relationship between the zeros and coefficients of a quadratic polynomial - the sum of the zeros equals the negative of the coefficient of x divided by the coefficient of x^2, and the product of the zeros equals the constant term divided by the coefficient of x^2.
- The division algorithm for polynomials - any polynomial p(x) can be divided by a non-zero polynomial
The document discusses absolute value and distance on the real number line. It provides examples to illustrate that the distance between two numbers x and y is defined as the absolute value of their difference, |x - y|. This ensures the distance is always positive or zero. When the values of x and y are unknown, both x - y and y - x could represent their distance, so absolute value is used to unambiguously refer to the positive value. Graphically, an absolute value inequality like |x - c| < r represents all values within a distance r of the center c, between c - r and c + r.
The document discusses limits of fractional expressions as the variable approaches certain values. It provides four basic facts about the limits of fractions of elementary functions: (1) if the numerator and denominator have defined limits, the fractional limit is the fraction of the limits; (2) if the numerator is bounded and the denominator diverges, the fractional limit is 0; (3) if the numerator diverges and the denominator is bounded, the fractional limit is infinity; (4) if both the numerator and denominator have limits of 0 or infinity, the fractional limit is inconclusive. It emphasizes that an undefined fractional limit does not necessarily mean the limit is inconclusive - it may simply not exist. Rationalizing expressions can sometimes resolve inconclusive fractional limits
ANURAG TYAGI CLASSES (ATC) is an organisation destined to orient students into correct path to achieve
success in IIT-JEE, AIEEE, PMT, CBSE & ICSE board classes. The organisation is run by a competitive staff comprising of Ex-IITians. Our goal at ATC is to create an environment that inspires students to recognise and explore their own potentials and build up confidence in themselves.ATC was founded by Mr. ANURAG TYAGI on 19 march, 2001.
VISIT US @
www.anuragtyagiclasses.com
Limits are used to describe the value a function or sequence approaches as the input approaches some value. They are essential to calculus and define concepts like continuity, derivatives, and integrals. A function is continuous at a point if the limit of the function as x approaches a is equal to the function's value at that point. If a function is continuous at every point within an interval, it is continuous on that entire interval. Key properties are that sums, differences, products, and quotients of continuous functions are also continuous.
This document provides information on several multivariable calculus topics:
1) Finding maxima and minima of functions of two variables using partial derivatives and the second derivative test.
2) Finding the tangent plane and normal line to a surface.
3) Taylor series expansions for functions of two variables.
4) Standard expansions for common functions like e^x, cosh(x), and tanh(x) using Maclaurin series.
5) Linearizing functions around a point using the tangent plane approximation.
6) Lagrange's method of undetermined multipliers for finding extrema with constraints.
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.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Mel Anthony Pepito
This document provides an overview of the key points covered in a calculus lecture on derivatives of logarithmic and exponential functions:
1) It discusses the derivatives of exponential functions with any base, as well as the derivatives of logarithmic functions with any base.
2) It covers using the technique of logarithmic differentiation to find derivatives of functions involving products, quotients, and/or exponentials.
3) The document provides examples of finding derivatives of various logarithmic and exponential functions.
This document contains a tutorial on calculating limits, derivatives, and slopes from graphs and equations. It works through multiple examples of finding:
1) The limit of a function as x approaches a number from the left and right, and determining if the limit exists.
2) The slope of a secant line using the formula for average velocity.
3) The slope of a tangent line using the formula for instantaneous velocity.
4) Using slopes to find equations of lines tangent to a curve at a point.
The document explains the relevant formulas and step-by-step workings through examples to demonstrate how to apply the concepts.
The document provides instruction on linear functions and how to find the x-intercept and y-intercept of a linear equation. It discusses writing linear equations in function notation as f(x), defines the x-intercept as where the graph crosses the x-axis (y = 0) and the y-intercept as where it crosses the y-axis (x = 0). It gives the formula for linear equations in standard form and shows how to set x = 0 and y = 0 to find the intercepts. Examples are worked out, showing how to graph the line based on the intercepts. Classwork assignments are noted at the end.
This document discusses two sections, Section 3.1 and Section 3.3, but provides no details about the content or topics covered in either section. The document gives the section numbers and titles but no other informative or descriptive text.
This document discusses limits involving infinity. It defines an infinite limit as one where the function tends to positive or negative infinity as the variable approaches a value. An infinite limit is written as lim f(x) = +∞ if it tends to positive infinity, and lim f(x) = -∞ if it tends to negative infinity. As an example, the limit of the function f(x) = 1/(x-4)2 as x approaches 4 is written as lim f(x) = ∞, since the function grows without stopping as x gets closer to 4.
GATE Engineering Maths : Limit, Continuity and DifferentiabilityParthDave57
This document provides an overview of key concepts in calculus including functions, limits, continuity, and differentiation. It defines a function as a relationship where each input has a single output. Limits describe the behavior of a function as the input value approaches a number. A function is continuous if its limit equals the function value. A function is differentiable at a point if the limit of its difference quotient exists, with the left and right derivatives needing to be equal. Examples are provided to illustrate these fundamental calculus topics.
This document discusses infinite limits, limits at infinity, and limit rules. It begins by explaining that the limits of 1/x as x approaches 0 from the left and right do not exist as real numbers, but it is useful to describe the behavior as approaching positive and negative infinity. It then discusses properties of infinite limits, including one-sided limits and examples. The document proceeds to define vertical asymptotes and provide examples of determining asymptotes. It concludes by covering limit rules that can be used to evaluate limits more easily, such as sum, difference, product, and quotient rules, as well as the sandwich theorem.
The document outlines key calculus concepts including:
- Functions, derivatives, differentiation rules, and the definition of a derivative as an infinitesimal change in a function with respect to a variable.
- Concepts related to derivatives such as local/absolute extrema, critical points, increasing/decreasing functions, concavity, asymptotes, and inflection points.
- How to use the first and second derivative tests to determine local extrema, concavity, and increasing/decreasing behavior.
1) L'Hospital's rule can be used to evaluate indeterminate limits of the form 0/0 and ∞/∞ by taking the derivative of the numerator and denominator.
2) Some common types of indeterminate forms are 00, ∞0, 1∞, and ∞-∞. Special methods may be needed to evaluate limits that are indeterminate forms of ∞-∞.
3) Several example limits are evaluated step-by-step using L'Hospital's rule and other techniques to convert indeterminate forms.
This document discusses how to calculate limits of functions as the input value approaches a given number. It explains how to build left and right tables to determine one-sided limits and check if the left and right limits are equal to determine if the overall limit exists. It also discusses special cases for calculating limits of rational functions and limits as the input approaches infinity. The key steps are to identify the terms with the highest powers, eliminate lesser terms, simplify, and substitute the given input value.
I am Frank P. I am a Physical Chemistry Assignment Expert at eduassignmenthelp.com. I hold a Ph.D. in Physical Chemistry, from Malacca, Malaysia. I have been helping students with their homework for the past 6 years. I solve assignments related to Physical Chemistry.
Visit eduassignmenthelp.com or email info@eduassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Physical Chemistry Assignments.
The document discusses limits, continuity, and related concepts. Some key points:
1) It defines the concept of a limit and explains how to evaluate one-sided and two-sided limits. A limit exists only if the left and right-sided limits are equal.
2) Continuity is defined as a function being defined at a point, and the limit existing and being equal to the function value. Functions like tan(x) are only continuous where the denominator is not 0.
3) Theorems are presented for evaluating limits of polynomials, sums, products, quotients of continuous functions, and the squeeze theorem. Piecewise functions may or may not be continuous depending on behavior at points of discontin
This PowerPoint presentation covers polynomials, including:
- Definitions of polynomials, monomials, binomials, trinomials, and the degree of a polynomial.
- The geometric meaning of zeros of polynomials - linear polynomials have one zero, quadratics have up to two zeros, and cubics have up to three.
- The relationship between the zeros and coefficients of a quadratic polynomial - the sum of the zeros equals the negative of the coefficient of x divided by the coefficient of x^2, and the product of the zeros equals the constant term divided by the coefficient of x^2.
- The division algorithm for polynomials - any polynomial p(x) can be divided by a non-zero polynomial
The document discusses absolute value and distance on the real number line. It provides examples to illustrate that the distance between two numbers x and y is defined as the absolute value of their difference, |x - y|. This ensures the distance is always positive or zero. When the values of x and y are unknown, both x - y and y - x could represent their distance, so absolute value is used to unambiguously refer to the positive value. Graphically, an absolute value inequality like |x - c| < r represents all values within a distance r of the center c, between c - r and c + r.
The document discusses limits of fractional expressions as the variable approaches certain values. It provides four basic facts about the limits of fractions of elementary functions: (1) if the numerator and denominator have defined limits, the fractional limit is the fraction of the limits; (2) if the numerator is bounded and the denominator diverges, the fractional limit is 0; (3) if the numerator diverges and the denominator is bounded, the fractional limit is infinity; (4) if both the numerator and denominator have limits of 0 or infinity, the fractional limit is inconclusive. It emphasizes that an undefined fractional limit does not necessarily mean the limit is inconclusive - it may simply not exist. Rationalizing expressions can sometimes resolve inconclusive fractional limits
ANURAG TYAGI CLASSES (ATC) is an organisation destined to orient students into correct path to achieve
success in IIT-JEE, AIEEE, PMT, CBSE & ICSE board classes. The organisation is run by a competitive staff comprising of Ex-IITians. Our goal at ATC is to create an environment that inspires students to recognise and explore their own potentials and build up confidence in themselves.ATC was founded by Mr. ANURAG TYAGI on 19 march, 2001.
VISIT US @
www.anuragtyagiclasses.com
Limits are used to describe the value a function or sequence approaches as the input approaches some value. They are essential to calculus and define concepts like continuity, derivatives, and integrals. A function is continuous at a point if the limit of the function as x approaches a is equal to the function's value at that point. If a function is continuous at every point within an interval, it is continuous on that entire interval. Key properties are that sums, differences, products, and quotients of continuous functions are also continuous.
This document provides information on several multivariable calculus topics:
1) Finding maxima and minima of functions of two variables using partial derivatives and the second derivative test.
2) Finding the tangent plane and normal line to a surface.
3) Taylor series expansions for functions of two variables.
4) Standard expansions for common functions like e^x, cosh(x), and tanh(x) using Maclaurin series.
5) Linearizing functions around a point using the tangent plane approximation.
6) Lagrange's method of undetermined multipliers for finding extrema with constraints.
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.
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Mel Anthony Pepito
This document provides an overview of the key points covered in a calculus lecture on derivatives of logarithmic and exponential functions:
1) It discusses the derivatives of exponential functions with any base, as well as the derivatives of logarithmic functions with any base.
2) It covers using the technique of logarithmic differentiation to find derivatives of functions involving products, quotients, and/or exponentials.
3) The document provides examples of finding derivatives of various logarithmic and exponential functions.
This document contains a tutorial on calculating limits, derivatives, and slopes from graphs and equations. It works through multiple examples of finding:
1) The limit of a function as x approaches a number from the left and right, and determining if the limit exists.
2) The slope of a secant line using the formula for average velocity.
3) The slope of a tangent line using the formula for instantaneous velocity.
4) Using slopes to find equations of lines tangent to a curve at a point.
The document explains the relevant formulas and step-by-step workings through examples to demonstrate how to apply the concepts.
The document provides instruction on linear functions and how to find the x-intercept and y-intercept of a linear equation. It discusses writing linear equations in function notation as f(x), defines the x-intercept as where the graph crosses the x-axis (y = 0) and the y-intercept as where it crosses the y-axis (x = 0). It gives the formula for linear equations in standard form and shows how to set x = 0 and y = 0 to find the intercepts. Examples are worked out, showing how to graph the line based on the intercepts. Classwork assignments are noted at the end.
This document discusses two sections, Section 3.1 and Section 3.3, but provides no details about the content or topics covered in either section. The document gives the section numbers and titles but no other informative or descriptive text.
The document describes how to calculate the volume of a solid object using Cavalieri's principle. It involves partitioning the solid into thin cross-sectional slices and approximating the volume of each slice as a cylinder with the slice's cross-sectional area and thickness. The total volume is then approximated as the sum of the cylindrical slice volumes. As the number of slices approaches infinity, this sum approaches the actual volume calculated as the integral of the cross-sectional area function over the solid's distance range.
The document discusses calculating the area of a region R. It introduces using a ruler x to measure the span of R from x=a to x=b. It defines the cross-sectional length L(x) and partitions the interval [a,b] into subintervals. The Riemann sum of the areas of approximating rectangles is shown to approach the actual area of R, defined as the definite integral of L(x) from a to b. As an example, it calculates the area between the curves y=-x^2+2x and y=x^2 by finding the interval spans from 0 to 1 and taking the integral of the difference of the functions.
5.3 areas, riemann sums, and the fundamental theorem of calaculusmath265
The document defines definite integrals and Riemann sums. It states that a definite integral calculates the area under a function between limits a and b by dividing the interval into subintervals and summing the areas of rectangles approximating the function over each subinterval. Riemann sums make this approximation explicit by taking the width of each subinterval times the value of the function at a sample point in the subinterval. In the limit as the subintervals approach zero width, the Riemann sum converges to the true integral value.
The document discusses the substitution method of integration. It explains that while the derivative of an elementary function is another elementary function, the antiderivative may not be. There are two main integration methods: substitution and integration by parts. Substitution reverses the chain rule by letting u be a function of x with derivative u', then substituting u for x and replacing dx with du/u' in the integral.
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.
4.5 continuous functions and differentiable functionsmath265
The document discusses continuous and differentiable functions. It defines elementary functions as those constructed using basic operations like addition and multiplication. Continuous functions over a closed interval are bounded and have absolute maximum and minimum values. The Intermediate Value Theorem states that a continuous function takes on all values between its minimum and maximum. Differentiable functions are continuous. Rolle's Theorem says that if a differentiable function is equal at the endpoints of an interval, its derivative is zero somewhere in between.
The document summarizes different types of derivatives. It discusses simple derivatives where there is one input and output, and defines them. It then discusses implicit derivatives where a relationship between two variables is given and the derivative of one with respect to the other is sought using implicit differentiation. An example finds the derivative of u with respect to v and v with respect to u for the equation 2u^2 - v^3 = 2 - uv. Reciprocal relationships between the derivatives are noted.
- The derivative of a function f(x) represents the instantaneous rate of change of the output y with respect to the input x. It is equivalent to the slope of the tangent line and the amount of change in y for a 1 unit change in x.
- For a linear price-demand function of y = f(x) chickens sold given price x, the derivative of the revenue function R(x) = x*f(x) represents how revenue changes with a 1 unit change in price.
- The price that maximizes revenue occurs when the derivative of the revenue function R'(x) is 0, as this is where revenue is no longer increasing or decreasing with small changes in price.
The document discusses related rates problems. It begins by using resizing a rectangle on a computer screen as an example to demonstrate how the rates of change of the length (L) and width (W) relate to the rate of change of the area (A). The key steps are: (1) the area A is given by A=LW, (2) take the derivative of both sides, (3) use the product rule and chain rule to obtain A'=L'W+LW', (4) plug in the given rates of L' and W' to solve for A'.
The document then provides examples to demonstrate how to set up and solve related rates problems by translating the given rates into derivatives, applying
The document summarizes different types of derivatives:
Simple derivatives involve a single input and output. Implicit derivatives are taken for equations with two or more variables, treating one as the independent variable. An example finds derivatives of u with respect to v and v with respect to u for the equation 2u^2 - v^3 = 2 - uv. The derivatives are related by the reciprocal relationship in differential notation.
This document contains 20 math word problems involving rates of change of quantities like distance, area, radius, and volume over time. The problems involve concepts like expanding derivatives, rectangles changing size, cars moving at intersections, distances between moving objects, water filling and draining from tanks, ladders on houses, waves expanding in water, balloons deflating, and water filling triangular troughs. Rates of change are calculated for variables like length, width, area, distance, radius, and volume at specific values over time.
The document contains 10 multi-part exercises involving calculating rates of change, finding maximums and optima, and approximating changes in functions. The exercises involve concepts like linear price-demand functions, surface area and volume relationships for geometric objects, and force functions related to physics concepts like gravity and electric force.
1) The document discusses derivatives as rates of change, using the example of a stone thrown straight up.
2) It is found that the stone will stay in the air for 6 seconds, reaching its maximum height of 144 feet after 3 seconds.
3) The derivative of the height function D(t) represents the instantaneous rate of change of height, or speed, at each time t. This rate varies throughout the stone's trajectory.
1. The document provides instructions for using calculus concepts like derivatives and integrals to approximate values. It contains 14 problems involving finding derivatives, using derivatives to approximate values, finding volumes with integrals, and using Newton's method to find roots of functions.
2. The final problem asks to use Newton's method in Excel to find the two roots of the function y = ex - 2x - 2 that exist between -3 and 3 to 5 decimal places, and then justify that the approximations are correct.
This document contains 16 multi-part math problems involving optimization of functions, geometry, and physics. The problems cover topics like finding extrema of functions, finding points on lines, maximizing areas of geometric shapes given constraints, minimizing materials needed to construct cylinders and fences, and finding positions of maximum or minimum values of physical quantities like force and illumination.
This document discusses two applications of tangent lines: differentials and linear approximation, and finding the tangent line T(b) at a nearby point b. It explains that the tangent line T(x) at point (a, f(a)) is given by T(x) = f'(a)(x - a) + f(a). The slope f'(a) is identified with the derivative dy/dx. There are two ways to find T(b): directly using T(x), or by finding the differential ΔT = dy and using ΔT + f(a) = T(b).
This document discusses optimization problems in real-world applications and the role of derivatives. It provides examples of functions that may or may not have extrema over an interval. The extrema theorem for continuous functions states that a continuous function over a closed interval will have both an absolute maximum and minimum. Extrema can occur where the derivative is zero, where the derivative is undefined, or at the endpoints. Examples are provided to illustrate the different types of extrema.
The document discusses how derivatives can represent rates of change. It states that given a function f(x), the derivative f'(a) is equivalent to the slope of the tangent line at x=a, the instantaneous rate of change of y with respect to x at x=a, and the amount of change in y for a 1 unit change in x at x=a. It then provides an example using a price-demand function for chickens, finding that the maximum revenue of $1152 occurs at a price of $10 per chicken.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
2. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)).
(x, f(x))
x
y = x2–2x+2
3. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)).
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
4. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)).
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
5. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)). We obtained the
cord–slope–formula 2x – 2 + h.
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
slope = 2x–2+h
6. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)). We obtained the
cord–slope–formula 2x – 2 + h.
We reason that as the values of
h shrinks to 0,
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
slope = 2x–2+h
7. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)). We obtained the
cord–slope–formula 2x – 2 + h.
We reason that as the values of
h shrinks to 0, the cords slide
towards the tangent line
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
slope = 2x–2+h
8. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)). We obtained the
cord–slope–formula 2x – 2 + h.
We reason that as the values of
h shrinks to 0, the cords slide
towards the tangent line so the
slope at (x, f(x)) must be 2x – 2
because h “fades” to 0.
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
slope = 2x–2+h
9. Limits I
In the calculation of the
derivative of f(x) = x2 – 2x + 2,
we simplified the slope
(difference-quotient) formula of
the cords with one end fixed at
(x, f(x)) and the other end at
(x+h, f(x+h)). We obtained the
cord–slope–formula 2x – 2 + h.
We reason that as the values of
h shrinks to 0, the cords slide
towards the tangent line so the
slope at (x, f(x)) must be 2x – 2
because h “shrinks” to 0.
(x+h, f(x+h)
(x, f(x))
x x + h
f(x+h)–f(x)
h
y = x2–2x+2
slope = 2x–2+h
clarify this procedure of obtaining slopes .
We use the language of “limits” to
10. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches 0 from the right or “xi →0+” if
“regardless how small a number ϵ > 0 (+) is chosen,
only finitely many of the x’s of the sequence
are outside of the interval (0, ϵ). We also say that
almost all of the x’s are in interval (0, ϵ)”.
Limits I 1,1/2,1/3,1/4,..
11. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches 0 from the right or “xi →0+” if
“regardless how small a number ϵ > 0 (+) is chosen,
only finitely many of the x’s of the sequence
are outside of the interval (0, ϵ). We also say that
almost all of the x’s are in interval (0, ϵ)”.
0 x’s
ϵ
only finite number of x’s
are outside
regardless how small this interval is
Limits I
almost all x’s are inside here
1,1/2,1/3,1/4,..
12. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches 0 from the right or “xi →0+” if
“regardless how small a number ϵ > 0 (+) is chosen,
only finitely many of the x’s of the sequence
are outside of the interval (0, ϵ). We also say that
almost all of the x’s are in interval (0, ϵ)”.
We say “if x goes to 0+ we get that …” we mean that
for “every sequence {xi} with xi → 0+ we would obtain
the result mentioned”. So “if x → 0+ then |x| / x →1”
We write this as lim |x| / x = 1 or lim |x| / x = 1,
0+
0 x’s
ϵ
only finite number of x’s
are outside
regardless how small this interval is
Limits I
x→0+
almost all x’s are inside here
and that lim 3x + 2 = 2.
0+
1,1/2,1/3,1/4,..
13. We say the infinite sequence {xi} = {x1, x2, x3, ..}
“goes to 0 from the left” or “xi 0–” we mean that
Similarly we define x → 0–,
“x approaches 0 from the – (left) side”.
“regardless how small a number ϵ > 0 is chosen,
only finitely many of the x’s of the sequence
are outside of the interval (–ϵ, 0). We also say that
almost all of the x’s are in interval (–ϵ, 0)”.
only finitely many x’s are outside for any ϵ > 0
Limits I
0
x’s –ϵ
Similar to before we write this as
lim |x| / x = –1 or lim |x| / x = –1 ≠ lim |x| / x = 1.
0–
x→0–
Note that lim 3x + 2 = 2 is the same answer as lim.
0– 0+
0+
almost all x’s are
inside here
–1,–1/2,–1/3,–1/4,..
14. Finally we say that
“xi goes to 0” or “xi 0” where i = 1, 2, 3…
In this case lim |x| / x is undefined (UDF) because
its signs could be +1 or –1 depending on the x’s.
But lim 3x + 2 = 2, the same limit as x→0+ or x→0–.
So given f(x), the direction of the x’s approaching 0
is important for the answer to the limit of f(x).
“if for any number ϵ > 0 only finitely many of the x’s
are outside of the neighborhood (–ϵ, ϵ)”.
0
x’s –ϵ
only finitely many x’s are outside
x’s
ϵ
0
Limits I
1,–1/2,1/3,–1/4,..
15. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
Limits I
16. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
Limits I
17. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
Limits I
The notation “xi a–” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a )."
18. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
a
x’s a–ϵ
Limits I
The notation “xi a–” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a )."
19. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
a
x’s a–ϵ
Limits I
The notation “xi a–” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a )."
The notation “xi a” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a + ϵ ).”
20. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
a
x’s a–ϵ
Limits I
The notation “xi a–” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a )."
The notation “xi a” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a + ϵ ).”
a
x’s a–ϵ a+ϵ x’s
21. The notation “xi a+” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a, a + ϵ )."
a x’s
a+ϵ
a
x’s a–ϵ
Limits I
The notation “xi a–” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a )."
The notation “xi a” where {xi} is a sequence of
numbers means that “for every ϵ > 0, only finitely
many x’s are outside of the interval (a – ϵ, a + ϵ ).”
a
x’s a–ϵ a+ϵ x’s
We say lim f(x) = L if f(xi) L for every xi a (or a±).
a (or a±)
22. Keep in mind the examples:
x’s
Limits I
lim |x| / x = 1
0 x–> 0+
lim |x| / x = –1
x–> 0–
x’s
0
lim |x| / x = UDF
x–> 0+
0
x’s
x’s
but lim 3x + 2 = 2, the same limit as x→0+ or x→0– ,
Limit–problems are problems of finding the behavior
of a function f(x) around the point, particularly at a
point x = a even though f(x) is not defined at x = a.
so one has to pay attention as to which side of x = a
that one is investigating the f(x)’s.
Following are basic rules of taking limits.
23. Limits I
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
24. The following limits are obvious.
Limits I
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
25. The following limits are obvious.
* lim c = c where c is any constant.
x→a
(e.g lim 5 = 5)
Limits I
x→ a
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
26. The following limits are obvious.
* lim c = c where c is any constant.
x→a
* lim x = a
(e.g lim 5 = 5)
(e.g. lim x = 5)
Limits I
x→ a
x→ a x→ 5
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
27. The following limits are obvious.
* lim c = c where c is any constant.
x→a
* lim x = a
* lim cx = ca where c is any number.
(e.g lim 5 = 5)
(e.g. lim x = 5)
(e.g. lim 3x = 15)
Limits I
x→ a
x→ a
x→ a
x→ 5
x→ 5
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
28. * lim (xp) = (lim x)p = ap provided ap is well defined.
The following limits are obvious.
* lim c = c where c is any constant.
x→a
* lim x = a
* lim cx = ca where c is any number.
(e.g lim 5 = 5)
(e.g. lim x = 5)
(e.g. lim x½ = 5)
(e.g. lim 3x = 15)
Limits I
x→ a
x→ a
x→ a
x→ a
x→ 5
x→ 5
x→ a
x→ 25
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
29. * lim (xp) = (lim x)p = ap provided ap is well defined.
The following limits are obvious.
* lim c = c where c is any constant.
x→a
* lim x = a
* lim cx = ca where c is any number.
(e.g lim 5 = 5)
(e.g. lim x = 5)
(e.g. lim x½ = 5)
(e.g. lim 3x = 15)
* The same statements hold true for x a±.
Limits I
x→ a
x→ a
x→ a
x→ a
x→ 5
x→ 5
x→ a
x→ 25
Rules on limits: Given that all the limits exist as x a,
a. lim f(x) ± g(x) = lim f(x) ± lim g(x)
b. lim f(x)*g(x) = lim f(x)*lim g(x)
c. lim f(x)/g(x) = lim f(x)/lim g(x) (lim g(x) ≠ 0)
30. Let P(x) and Q(x) be polynomials.
1. lim P(x) = P(a)
a
Limits of Polynomial and Rational Formulas I
2. lim =
P(x)
Q(x)
P(a)
Q(a)
, Q(a) = 0.
Limits I
a
(e.g. lim 3x + 2 = 17)
x→ 5
31. Let P(x) and Q(x) be polynomials.
1. lim P(x) = P(a)
a
Limits of Polynomial and Rational Formulas I
2. lim =
P(x)
Q(x)
P(a)
Q(a)
, Q(a) = 0.
Limits I
a
(e.g. lim 3x + 2 = 17)
x→ 5
(e.g. lim (3x + 2)/x = 17/5)
x→ 5
32. Let P(x) and Q(x) be polynomials.
1. lim P(x) = P(a)
a
Limits of Polynomial and Rational Formulas I
2. lim =
P(x)
Q(x)
P(a)
Q(a)
, Q(a) = 0.
Limits I
a
(e.g. lim 3x + 2 = 17)
x→ 5
(e.g. lim (3x + 2)/x = 17/5)
x→ 5
In fact, if f(x) is an elementary function and f(a) is
well defined, i.e. x = a is in the domain of f(x),
then lim f(x) = f(a) as x→ a or x→ a± , that is,
we can just set x = a and compute its limit directly.
33. Let P(x) and Q(x) be polynomials.
1. lim P(x) = P(a)
a
Limits of Polynomial and Rational Formulas I
2. lim =
P(x)
Q(x)
P(a)
Q(a)
, Q(a) = 0.
In fact, if f(x) is an elementary function and f(a) is
well defined, i.e. x = a is in the domain of f(x),
then lim f(x) = f(a) as x→ a or x→ a± , that is,
we can just set x = a and compute its limit directly.
For example, the domain of the function f(x) = √x is
0 < x. Hence lim√x = √a for 0 < a.
– a
Limits I
a
(e.g. lim 3x + 2 = 17)
x→ 5
(e.g. lim (3x + 2)/x = 17/5)
x→ 5
34. Let P(x) and Q(x) be polynomials.
1. lim P(x) = P(a)
a
Limits of Polynomial and Rational Formulas I
2. lim =
P(x)
Q(x)
P(a)
Q(a)
, Q(a) = 0.
For example, the domain of the function f(x) = √x is
0 < x. Hence lim√x = √a for 0 < a.
– a
But at a = 0, we only have
lim √x = 0 = f(0) as shown and
the limit is UDF if x→0– or x→0.
y = x1/2
0+
Limits I
a
(e.g. lim 3x + 2 = 17)
x→ 5
(e.g. lim (3x + 2)/x = 17/5)
x→ 5
In fact, if f(x) is an elementary function and f(a) is
well defined, i.e. x = a is in the domain of f(x),
then lim f(x) = f(a) as x→ a or x→ a± , that is,
we can just set x = a and compute its limit directly.
35. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches +∞ or ∞” written as “xi → ∞” if
“regardless how large a number N is chosen,
only finitely many of the x’s of the sequence
are in the interval (–∞, N), i.e. almost all of the x’s
are inside of the interval (N, ∞)”.
Limits I
1, 2, 3, 4,..
Approaching ∞
36. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches +∞ or ∞” written as “xi → ∞” if
“regardless how large a number N is chosen,
only finitely many of the x’s of the sequence
are in the interval (–∞, N), i.e. almost all of the x’s
are inside of the interval (N, ∞)”.
x’s
only finite number of x’s
are inside
regardless how large N is
Limits I
almost all x’s are inside here
1, 2, 3, 4,..
Approaching ∞
N
37. We say the infinite sequence {xi} = {x1, x2, x3, ..}
approaches +∞ or ∞” written as “xi → ∞” if
“regardless how large a number N is chosen,
only finitely many of the x’s of the sequence
are in the interval (–∞, N), i.e. almost all of the x’s
are inside of the interval (N, ∞)”.
We say “if x goes to ∞ we have that …” we mean that
for “every sequence {xi} with xi → ∞ we would obtain
the result mentioned”. So “if x → ∞ then 1 / x →0”
We write this as lim 1 / x = 0 or lim 1 / x = 0.
∞
x’s
only finite number of x’s
are inside
regardless how large N is
Limits I
x→ ∞
almost all x’s are inside here
1, 2, 3, 4,..
Approaching ∞
N
38. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L,
Limits I
39. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
Limits I
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
40. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0.
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
41. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
“boundary behaviors” of 1/x.
42. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
43. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
44. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
0+
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
45. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
46. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
47. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
48. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
49. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
50. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
51. Similarly we say that “as x ∞, f(x) L” if for every
sequence xi ∞ we have that f(xi) L, and we also
lim 1/x = lim 1/x = 0. Let’s look at the
∞
Limits I
Hence
say that “as x –∞, f(x) L” if for every sequence
xi –∞ we have that f(xi) L.
–∞
As x 0–, lim 1/x = –∞
0+
0–
As x ∞, lim 1/x = 0+
∞
As x –∞, lim 1/x = 0–
–∞
As x 0+, lim 1/x = ∞
“boundary behaviors” of 1/x. The domain of 1/x is
x = 0 so its “boundary” consists of
I. The vertical asymptote x = 0.
y = 1/x
x= 0: Vertical
Asymptote
y = 0: Horizontal
Asymptote
II. The two “ends” of as x→±∞.
53. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement.
54. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers.
55. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers. Hence we say that
“the sequence 1, 2, 3, .. goes to ∞” or that “the
sequence –1, –2, –3, .. goes to –∞”.
56. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers. Hence we say that
“the sequence 1, 2, 3, .. goes to ∞” or that “the
sequence –1, –2, –3, .. goes to –∞”.
If we multiple 1, 2, 3 … by 2 so it becomes 2, 4, 6,..
the resulting sequence still goes to ∞.
57. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers. Hence we say that
“the sequence 1, 2, 3, .. goes to ∞” or that “the
sequence –1, –2, –3, .. goes to –∞”.
If we multiple 1, 2, 3 … by 2 so it becomes 2, 4, 6,..
the resulting sequence still goes to ∞.
In fact, given any sequence of xi such that xi ∞,
then cxi ∞ for any 0 < c.
58. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers. Hence we say that
“the sequence 1, 2, 3, .. goes to ∞” or that “the
sequence –1, –2, –3, .. goes to –∞”.
If we multiple 1, 2, 3 … by 2 so it becomes 2, 4, 6,..
the resulting sequence still goes to ∞.
In fact, given any sequence of xi such that xi ∞,
then cxi ∞ for any 0 < c. In short, we say that
c* ∞ = ∞ for any constant c > 0.
59. Arithmetic of ∞
Limits I
The symbol “∞” is not a number because it does not
represent a numerical measurement. It represents the
behavior of a list of endless numbers, specifically
eventually “almost all” of the numbers are larger than
any imaginable numbers. Hence we say that
“the sequence 1, 2, 3, .. goes to ∞” or that “the
sequence –1, –2, –3, .. goes to –∞”.
If we multiple 1, 2, 3 … by 2 so it becomes 2, 4, 6,..
the resulting sequence still goes to ∞.
In fact, given any sequence of xi such that xi ∞,
then cxi ∞ for any 0 < c. In short, we say that
c* ∞ = ∞ for any constant c > 0.
We summarize these facts about ∞ below.
61. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
62. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞.
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
63. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
64. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
so lim (x * x2) = lim x * lim x2 = ∞.
65. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
so lim (x * x2) = lim x * lim x2 = ∞. (Not true for “/“.)
66. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
so lim (x * x2) = lim x * lim x2 = ∞.
As x goes to ∞, lim x = ∞, so lim 3x = ∞.
(Not true for “/“.)
67. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
so lim (x * x2) = lim x * lim x2 = ∞.
As x goes to ∞, lim x = ∞, so lim 3x = ∞.
As x goes to ∞, lim x = ∞, so lim 3/x = 0.
(Not true for “/“.)
68. Arithmetic of ∞
Limits I
1. ∞ + ∞ = ∞
As x goes to ∞, lim x = ∞ and lim x2 = ∞, hence
lim (x + x2) = lim x + lim x2 = ∞. (Not true for “–“.)
2. ∞ * ∞ = ∞
3. c * ∞ = ∞ for any constant c > 0.
5. Given a fixed b, b∞ = ∞ if b > 1, b∞ = 0 if 0 < b < 1
4. c / ∞ = 0 for any constant c.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
so lim (x * x2) = lim x * lim x2 = ∞.
As x goes to ∞, lim x = ∞, so lim 3x = ∞.
As x goes to ∞, lim x = ∞, so lim 3/x = 0.
As x goes to ∞, lim 2x = ∞ and lim (½)x = 0.
(Not true for “/“.)
70. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
71. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
72. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
73. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
74. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
75. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
76. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x / x2 = 0,
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
77. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x / x2 = 0, lim x/x = 1,
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
78. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x / x2 = 0, lim x/x = 1, and lim x2/x = ∞.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
79. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x / x2 = 0, lim x/x = 1, and lim x2/x = ∞.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
Again, all these questions are in the form ∞/∞
but have different behaviors as x ∞.
80. Limits I
1. ∞ – ∞ = ? (inconclusive form)
The following situations of limits are inconclusive.
2. ∞ / ∞ = ? (inconclusive form)
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x / x2 = 0, lim x/x = 1, and lim x2/x = ∞.
As x goes to ∞, lim x = ∞ and lim x2 = ∞,
but lim x – x = lim 0 = 0, and lim x2 – x = ∞.
Both questions are in the form of ∞ – ∞ yet they
have drastically different behaviors as x ∞.
We have to find other ways to determine the
limiting behaviors when a problem is in the
inconclusive ∞ – ∞ and ∞ / ∞ form.
Again, all these questions are in the form ∞/∞
but have different behaviors as x ∞.
81. Limits I
For example the is of the ∞ / ∞ form
as x ∞, therefore we will have to transform the
formula to determine its behavior.
3x + 4
5x + 6
82. Limits I
For example the is of the ∞ / ∞ form
as x ∞, therefore we will have to transform the
formula to determine its behavior.
3x + 4
5x + 6
3x + 4
5x + 6
lim = 3/5.
∞
We will talk about various methods in the next
section in determining the limits of formulas with
inconclusive forms and see that
(Take out the calculator and try to find it.)