Solucionario games and information rasmusenByron Bravo G
- Software Inc. and Hardware Inc. form a joint venture where they can each exert high or low effort, costing 20 or 0 respectively
- Hardware moves first but Software cannot observe its effort level
- Revenues are split equally between the firms
- If both exert low effort, revenue is 100
- If parts are defective, revenue is 100
- If both exert high effort, revenue is 200 with certainty
- If only one exerts high effort, revenue is 100 with 90% probability and 200 with 10% probability
- Initially, both firms believe the probability of defective parts is 70%
3 examples of PDE, for Laplace, Diffusion of Heat and Wave function. A brief definition of Fouriers Series. Slides created and compiled using LaTeX, beamer package.
This document provides an introduction to concepts in differential geometry including manifolds, tangent spaces, vector fields, differential forms, and operations on differential forms such as the exterior product and integration. It outlines key definitions and properties for differential geometry, Riemannian geometry, and applications to probability and statistics. The document is divided into three main sections on differential geometry, Riemannian geometry, and settings without Riemannian geometry.
Applications of analytic functions and vector calculusPoojith Chowdhary
Analytic functions are functions that are locally defined by a convergent power series. They are used to compute cumulative, moving, centered, and reporting aggregates. Analytic functions are processed after joins, WHERE clauses, GROUP BY clauses, and HAVING clauses, and can only appear in the select list or ORDER BY clause. Common applications include calculating counts of employees under each manager.
This document defines and discusses orthogonal vectors, unit/normalized vectors, orthogonal and orthonormal sets of vectors, the relationship between independence and orthogonality of vectors, vector projections, and the Grahm-Schmidt orthogonalization process. Specifically, it states that two vectors are orthogonal if their dot product is zero, an orthogonal set is linearly independent, the difference between a vector and its projection onto another vector is orthogonal to that vector, and the Grahm-Schmidt process constructs new orthogonal vectors.
The document discusses fuzzy logic and its applications in control systems. It begins with definitions of fuzzy logic and fuzzy sets. It then discusses the history and applications of fuzzy logic, including ABS brakes, expert systems, and control units. The document outlines the formal definitions, operations, and structure of fuzzy logic controllers. It provides examples of membership functions, rule bases, fuzzification, inference engines, and defuzzification. It concludes with an example of a fuzzy logic air conditioner controller.
The document discusses vector spaces and subspaces. It defines vectors in Rn as n-tuples of real numbers and describes operations on vectors like addition and scalar multiplication. A vector space is a set with vectors that is closed under these operations and satisfies other axioms. Examples given include Rn, the space of matrices, and polynomial spaces. A subspace is a subset of a vector space that itself is a vector space under the operations in the larger space.
Solucionario games and information rasmusenByron Bravo G
- Software Inc. and Hardware Inc. form a joint venture where they can each exert high or low effort, costing 20 or 0 respectively
- Hardware moves first but Software cannot observe its effort level
- Revenues are split equally between the firms
- If both exert low effort, revenue is 100
- If parts are defective, revenue is 100
- If both exert high effort, revenue is 200 with certainty
- If only one exerts high effort, revenue is 100 with 90% probability and 200 with 10% probability
- Initially, both firms believe the probability of defective parts is 70%
3 examples of PDE, for Laplace, Diffusion of Heat and Wave function. A brief definition of Fouriers Series. Slides created and compiled using LaTeX, beamer package.
This document provides an introduction to concepts in differential geometry including manifolds, tangent spaces, vector fields, differential forms, and operations on differential forms such as the exterior product and integration. It outlines key definitions and properties for differential geometry, Riemannian geometry, and applications to probability and statistics. The document is divided into three main sections on differential geometry, Riemannian geometry, and settings without Riemannian geometry.
Applications of analytic functions and vector calculusPoojith Chowdhary
Analytic functions are functions that are locally defined by a convergent power series. They are used to compute cumulative, moving, centered, and reporting aggregates. Analytic functions are processed after joins, WHERE clauses, GROUP BY clauses, and HAVING clauses, and can only appear in the select list or ORDER BY clause. Common applications include calculating counts of employees under each manager.
This document defines and discusses orthogonal vectors, unit/normalized vectors, orthogonal and orthonormal sets of vectors, the relationship between independence and orthogonality of vectors, vector projections, and the Grahm-Schmidt orthogonalization process. Specifically, it states that two vectors are orthogonal if their dot product is zero, an orthogonal set is linearly independent, the difference between a vector and its projection onto another vector is orthogonal to that vector, and the Grahm-Schmidt process constructs new orthogonal vectors.
The document discusses fuzzy logic and its applications in control systems. It begins with definitions of fuzzy logic and fuzzy sets. It then discusses the history and applications of fuzzy logic, including ABS brakes, expert systems, and control units. The document outlines the formal definitions, operations, and structure of fuzzy logic controllers. It provides examples of membership functions, rule bases, fuzzification, inference engines, and defuzzification. It concludes with an example of a fuzzy logic air conditioner controller.
The document discusses vector spaces and subspaces. It defines vectors in Rn as n-tuples of real numbers and describes operations on vectors like addition and scalar multiplication. A vector space is a set with vectors that is closed under these operations and satisfies other axioms. Examples given include Rn, the space of matrices, and polynomial spaces. A subspace is a subset of a vector space that itself is a vector space under the operations in the larger space.
This document discusses finding the maximum and minimum values of functions. It introduces the Extreme Value Theorem, which states that if a function is continuous on a closed interval, then it attains both a maximum and minimum value on that interval. It also discusses Fermat's Theorem, which relates local extrema of a differentiable function to its derivative. Examples are provided to illustrate these concepts.
This document discusses limits involving infinity in calculus. It begins with definitions of infinite limits, both positive and negative infinity. It provides examples of common infinite limits, such as the limit of 1/x as x approaches 0. It also discusses vertical asymptotes and rules for infinite limits, such as the limit of a sum being infinity if both terms have infinite limits. The document contains examples evaluating limits at points where functions are not continuous.
We define what it means for a function to have a maximum or minimum value, and explain the Extreme Value Theorem, which indicates these maxima and minima must be there under certain conditions.
Fermat's Theorem says that at differentiable extreme points, the derivative should be zero, and thus we arrive at a technique for finding extrema: look among the endpoints of the domain of definition and the critical points of the function.
There's also a little digression on Fermat's Last theorem, which is not related to calculus but is a big deal in recent mathematical history.
The document discusses the chain rule for calculating the derivative of composite functions. It states that if a function F is composed of two differentiable functions g and φ, where F(x) = φ(g(x)), then F is differentiable and its derivative can be found using the chain rule. It asks the reader to identify the inner and outer functions for examples of composite functions.
Using the Mean Value Theorem, we can show the a function is increasing on an interval when its derivative is positive on the interval. Changes in the sign of the derivative detect local extrema. We also can use the second derivative to detect concavity and inflection points. This means that the first and second derivative can be used to classify critical points as local maxima or minima
1. The document discusses the chain rule for finding the derivative of a composition of two functions f and g.
2. The chain rule states that the derivative of the composition f(g(x)) is the product of the derivative of the outer function f evaluated at g(x) and the derivative of the inner function g.
3. An example using linear functions shows that the derivative of a composition of two linear functions results in another linear function whose slope is the product of the original slopes.
There's an obvious guess for the rule about the derivative of a product—which happens to be wrong. We explain the correct product rule and why it has to be true, along with the quotient rule. We show how to compute derivatives of additional trigonometric functions and new proofs of the Power Rule.
This document discusses implicit differentiation and finding the slope of tangent lines using implicit differentiation. It begins with an example problem of finding the slope of the tangent line to the curve x^2 + y^2 = 1 at the point (3/5, -4/5). It then explains how to set up and solve the implicit differentiation problem to find the slope. The document emphasizes that even when a relation is not explicitly a function, it can often be treated as locally functional to apply implicit differentiation and find tangent slopes. It provides another example problem and discusses horizontal and vertical tangent lines.
The document discusses inverse functions, logarithmic functions, and their properties. It defines an inverse function f^-1(x) as satisfying f(f^-1(x)) = x. It also defines the logarithm log_a(x) as the inverse of the exponential function a^x. Key properties of inverse functions and logarithms are outlined, including: the derivative of an inverse function using the inverse function theorem; logarithm rules such as log_a(xy) = log_a(x) + log_a(y); and converting between logarithmic bases using ln(x)/ln(a). Examples of evaluating and graphing inverse functions and logarithms are provided.
The Mean Value Theorem is the Most Important Theorem in Calculus. It allows us to relate information about the derivative of a function to information about the function itself.
This document provides an introduction to functions and their representations. It defines what a function is and gives examples of functions expressed through formulas, numerically, graphically and verbally. It also covers properties of functions including monotonicity, symmetry, even and odd functions. Key examples are used throughout to illustrate concepts.
1. The document discusses inverse trigonometric functions such as arcsin, arccos, and arctan.
2. It derives the derivatives of these inverse functions using the Inverse Function Theorem and properties of trigonometric functions.
3. The derivatives are derived to be 1/(√(1-x^2)) for arcsin, 1/√(1-x^2) for arccos, and 1/(1+x^2) for arctan.
This document provides an overview of exponential functions including:
- Definitions of exponential functions for positive integer, rational, and irrational exponents. Conventions are established to define exponents for all real number bases and exponents.
- Properties of exponential functions including that they are continuous functions with domain of all real numbers and range from 0 to infinity. Properties involving addition, subtraction, multiplication, and division of exponents are proven.
- Examples are provided to demonstrate simplifying expressions using properties of exponents, including fractional exponents.
Lesson 7-8: Derivatives and Rates of Change, The Derivative as a functionMatthew Leingang
The derivative is one of the fundamental quantities in calculus, partly because it is ubiquitous in nature. We give examples of it coming about, a few calculations, and ways information about the function an imply information about the derivative
The document provides an overview of Calculus I taught by Professor Matthew Leingang at New York University. It outlines key topics that will be covered in the course, including different classes of functions, transformations of functions, and compositions of functions. The first assignments are due on January 31 and February 2, with first recitations on February 3. The document uses examples to illustrate concepts like linear functions, other polynomial functions, and trigonometric functions. It also explains how vertical and horizontal shifts can transform the graph of a function.
This document discusses finding the maximum and minimum values of functions. It introduces the Extreme Value Theorem, which states that if a function is continuous on a closed interval, then it attains both a maximum and minimum value on that interval. It also discusses Fermat's Theorem, which relates local extrema of a differentiable function to its derivative. Examples are provided to illustrate these concepts.
This document discusses limits involving infinity in calculus. It begins with definitions of infinite limits, both positive and negative infinity. It provides examples of common infinite limits, such as the limit of 1/x as x approaches 0. It also discusses vertical asymptotes and rules for infinite limits, such as the limit of a sum being infinity if both terms have infinite limits. The document contains examples evaluating limits at points where functions are not continuous.
We define what it means for a function to have a maximum or minimum value, and explain the Extreme Value Theorem, which indicates these maxima and minima must be there under certain conditions.
Fermat's Theorem says that at differentiable extreme points, the derivative should be zero, and thus we arrive at a technique for finding extrema: look among the endpoints of the domain of definition and the critical points of the function.
There's also a little digression on Fermat's Last theorem, which is not related to calculus but is a big deal in recent mathematical history.
The document discusses the chain rule for calculating the derivative of composite functions. It states that if a function F is composed of two differentiable functions g and φ, where F(x) = φ(g(x)), then F is differentiable and its derivative can be found using the chain rule. It asks the reader to identify the inner and outer functions for examples of composite functions.
Using the Mean Value Theorem, we can show the a function is increasing on an interval when its derivative is positive on the interval. Changes in the sign of the derivative detect local extrema. We also can use the second derivative to detect concavity and inflection points. This means that the first and second derivative can be used to classify critical points as local maxima or minima
1. The document discusses the chain rule for finding the derivative of a composition of two functions f and g.
2. The chain rule states that the derivative of the composition f(g(x)) is the product of the derivative of the outer function f evaluated at g(x) and the derivative of the inner function g.
3. An example using linear functions shows that the derivative of a composition of two linear functions results in another linear function whose slope is the product of the original slopes.
There's an obvious guess for the rule about the derivative of a product—which happens to be wrong. We explain the correct product rule and why it has to be true, along with the quotient rule. We show how to compute derivatives of additional trigonometric functions and new proofs of the Power Rule.
This document discusses implicit differentiation and finding the slope of tangent lines using implicit differentiation. It begins with an example problem of finding the slope of the tangent line to the curve x^2 + y^2 = 1 at the point (3/5, -4/5). It then explains how to set up and solve the implicit differentiation problem to find the slope. The document emphasizes that even when a relation is not explicitly a function, it can often be treated as locally functional to apply implicit differentiation and find tangent slopes. It provides another example problem and discusses horizontal and vertical tangent lines.
The document discusses inverse functions, logarithmic functions, and their properties. It defines an inverse function f^-1(x) as satisfying f(f^-1(x)) = x. It also defines the logarithm log_a(x) as the inverse of the exponential function a^x. Key properties of inverse functions and logarithms are outlined, including: the derivative of an inverse function using the inverse function theorem; logarithm rules such as log_a(xy) = log_a(x) + log_a(y); and converting between logarithmic bases using ln(x)/ln(a). Examples of evaluating and graphing inverse functions and logarithms are provided.
The Mean Value Theorem is the Most Important Theorem in Calculus. It allows us to relate information about the derivative of a function to information about the function itself.
This document provides an introduction to functions and their representations. It defines what a function is and gives examples of functions expressed through formulas, numerically, graphically and verbally. It also covers properties of functions including monotonicity, symmetry, even and odd functions. Key examples are used throughout to illustrate concepts.
1. The document discusses inverse trigonometric functions such as arcsin, arccos, and arctan.
2. It derives the derivatives of these inverse functions using the Inverse Function Theorem and properties of trigonometric functions.
3. The derivatives are derived to be 1/(√(1-x^2)) for arcsin, 1/√(1-x^2) for arccos, and 1/(1+x^2) for arctan.
This document provides an overview of exponential functions including:
- Definitions of exponential functions for positive integer, rational, and irrational exponents. Conventions are established to define exponents for all real number bases and exponents.
- Properties of exponential functions including that they are continuous functions with domain of all real numbers and range from 0 to infinity. Properties involving addition, subtraction, multiplication, and division of exponents are proven.
- Examples are provided to demonstrate simplifying expressions using properties of exponents, including fractional exponents.
Lesson 7-8: Derivatives and Rates of Change, The Derivative as a functionMatthew Leingang
The derivative is one of the fundamental quantities in calculus, partly because it is ubiquitous in nature. We give examples of it coming about, a few calculations, and ways information about the function an imply information about the derivative
The document provides an overview of Calculus I taught by Professor Matthew Leingang at New York University. It outlines key topics that will be covered in the course, including different classes of functions, transformations of functions, and compositions of functions. The first assignments are due on January 31 and February 2, with first recitations on February 3. The document uses examples to illustrate concepts like linear functions, other polynomial functions, and trigonometric functions. It also explains how vertical and horizontal shifts can transform the graph of a function.
Lesson 2: A Catalog of Essential Functions (slides)Matthew Leingang
This document provides an overview of different types of functions including: linear, polynomial, rational, power, trigonometric, and exponential functions. It discusses representing functions verbally, numerically, visually, and symbolically. Key topics covered include transformations of functions through shifting graphs vertically and horizontally, as well as composing multiple functions.
This document provides a summary of precalculus concepts including:
1. Functions and their graphs including function definitions, transformations, combinations, and compositions of functions.
2. Trigonometry including trigonometric functions, graphs of trigonometric functions, and trigonometric identities.
3. Graphs of second-degree equations including circles, parabolas, ellipses, and hyperbolas.
The document contains examples and explanations of key precalculus topics to serve as a review for a Math 131 course. It covers essential functions like polynomials, rational functions, and transcendental functions. It also discusses trigonometric functions and their graphs along with transformations of functions.
This document discusses derivatives of various functions including:
- Exponential functions like ex and ax where the derivative of ex is ex and the derivative of ax is axln(a)
- Inverse functions where the derivative of the inverse is the reciprocal of the derivative of the original function
- Logarithmic functions like ln(x), loga(x) where the derivatives are 1/x and 1/(xln(a))
- Using logarithmic differentiation to find derivatives of functions like f(x)g(x)
It also provides practice problems finding derivatives of various functions and solving related equations.
This document provides an overview of various types of functions and their graphs. It begins with linear functions of the form y=mx+c and discusses how shifting these functions along the x- or y-axis changes their graphs. It then covers quadratic, square root, cube, reciprocal, constant, identity and absolute value functions. Piecewise, polynomial, algebraic, and transcendental functions are also defined. The document discusses bounded vs unbounded functions and concludes by examining circular and hyperbolic functions and their graphs.
1. A function relates each element in its domain to a unique element in its range through a rule called the function rule.
2. The domain is the set of possible inputs, while the range is the set of possible outputs.
3. Functions can be represented as ordered pairs in a graph on the x-y plane or through an equation where each input is mapped to a single output.
The document discusses functions and evaluating functions. It provides examples of determining if a given equation is a function using the vertical line test and evaluating functions by substituting values into the function equation. It also includes examples of evaluating composite functions using flow diagrams to illustrate the steps of evaluating each individual function.
This document discusses parent functions and transformations of functions. It defines parent functions as the simplest functions that satisfy a function definition, such as y=x for linear functions. It then explains various parent functions including quadratic, square root, absolute value, and cubic functions. The document also covers transformations including vertical and horizontal shifting, stretching and compressing, and reflection. It provides examples of writing equations for transformed graphs and combining transformations.
The document discusses transformations of linear functions. It provides examples of translating graphs vertically and horizontally by adding or subtracting values from inputs and outputs. It also discusses reflecting graphs over the x-axis or y-axis by multiplying inputs or outputs by -1. Horizontal and vertical stretches and shrinks are described as multiplying the inputs or outputs by a scale factor. The key is that transformations preserve the shape of the graph but can change its position, orientation, or scale.
This document discusses functions and their properties. It defines a function as a special relation where each first element is paired with exactly one second element. Functions are represented as sets of ordered pairs. The domain of a function is the set of all possible x-values, while the range is the set of all possible y-values. Functions can be represented graphically and through equations, and can be transformed through shifts, reflections, and stretching/shrinking. Common function families include linear, quadratic, exponential, and trigonometric functions.
The document discusses graphing quadratic functions. It begins with reviewing key concepts like the vertex and axis of symmetry and how the a, b, and c coefficients affect the graph. Examples are provided for determining the width, direction opened, and vertical shift based on these coefficients. The remainder of the document provides step-by-step examples of graphing quadratic functions by finding the axis of symmetry, vertex, y-intercept, and other points to plot the parabolic curve.
The document provides information about graphing and transforming quadratic functions:
- It discusses graphing quadratic functions by making tables of x- and y-values and plotting points. Examples show graphing f(x) = x^2 - 4x + 3 and g(x) = -x^2 + 6x - 8.
- Transformations of quadratic functions are described as translating the graph left/right or up/down, reflecting across an axis, or stretching/compressing vertically or horizontally. Examples demonstrate translating, reflecting, and compressing the graph of f(x) = x^2.
- The vertex form of a quadratic function f(x) = a(x-h)^2 +
The document is about quadratic polynomial functions and contains the following information:
1. It discusses investigating relationships between numbers expressed in tables to represent them in the Cartesian plane, identifying patterns and creating conjectures to generalize and algebraically express this generalization, recognizing when this representation is a quadratic polynomial function of the type y = ax^2.
2. It provides examples of converting algebraic representations of quadratic polynomial functions into geometric representations in the Cartesian plane, distinguishing cases in which one variable is directly proportional to the square of the other, using or not using software or dynamic algebra and geometry applications.
3. It discusses characterizing the coefficients of quadratic functions, constructing their graphs in the Cartesian plane, and determining their zeros (
The document discusses the difference quotient formula for calculating the slope between two points (x1,y1) and (x2,y2) on a function y=f(x). It shows that the slope m is equal to (f(x+h)-f(x))/h, where h is the difference between x1 and x2. This "difference quotient" formula allows slopes to be calculated from the values of a function at two nearby points. Examples are given of simplifying the difference quotient for quadratic and rational functions.
The document discusses rational functions and their graphs. It defines rational functions as the ratio of two polynomial functions. Key aspects covered include:
- The domain of a rational function
- Transformations of the reciprocal function 1/x and how they affect its graph
- Vertical and horizontal asymptotes of rational functions
- End behavior, intercepts, and characteristics of graphs of general rational functions
- Examples of finding asymptotes and graphing specific rational functions
Mauricio opened a bank account with $20 and deposits $10 each week. His account balance can be modeled as a linear function f(x) = 20 + 10x, where x is the number of weeks and f(x) is the balance in dollars. The function shows that after 0 weeks the balance is $20, after 1 week it is $30, after 2 weeks $40, and so on, increasing by $10 each week.
This document provides an introduction to symbolic math in MATLAB. It discusses differentiation and integration of functions using symbolic operators. Differentiation is defined as finding the rate of change of a function with respect to a variable. Integration finds the original function given its derivative. The document provides examples of differentiating and integrating simple functions in MATLAB's symbolic toolbox and exercises for the reader to practice.
This document discusses several topics in calculus of several variables:
- Functions of several variables and their partial derivatives
- Maxima and minima of functions of several variables
- Double integrals and constrained maxima/minima using Lagrange multipliers
It provides examples of computing partial derivatives of functions, interpreting them geometrically, and using partial derivatives to determine rates of change. Level curves are also discussed as a way to sketch graphs of functions of two variables.
Similar to Lesson 2: A Catalog of Essential Functions (20)
This document provides guidance on developing effective lesson plans for calculus instructors. It recommends starting by defining specific learning objectives and assessments. Examples should be chosen carefully to illustrate concepts and engage students at a variety of levels. The lesson plan should include an introductory problem, definitions, theorems, examples, and group work. Timing for each section should be estimated. After teaching, the lesson can be improved by analyzing what was effective and what needs adjustment for the next time. Advanced preparation is key to looking prepared and ensuring students learn.
Streamlining assessment, feedback, and archival with auto-multiple-choiceMatthew Leingang
Auto-multiple-choice (AMC) is an open-source optical mark recognition software package built with Perl, LaTeX, XML, and sqlite. I use it for all my in-class quizzes and exams. Unique papers are created for each student, fixed-response items are scored automatically, and free-response problems, after manual scoring, have marks recorded in the same process. In the first part of the talk I will discuss AMC’s many features and why I feel it’s ideal for a mathematics course. My contributions to the AMC workflow include some scripts designed to automate the process of returning scored papers
back to students electronically. AMC provides an email gateway, but I have written programs to return graded papers via the DAV protocol to student’s dropboxes on our (Sakai) learning management systems. I will also show how graded papers can be archived, with appropriate metadata tags, into an Evernote notebook.
This document discusses electronic grading of paper assessments using PDF forms. Key points include:
- Various tools for creating fillable PDF forms using LaTeX packages or desktop software.
- Methods for stamping completed forms onto scanned documents including using pdftk or overlaying in TikZ.
- Options for grading on tablets or desktops including GoodReader, PDFExpert, Adobe Acrobat.
- Extracting data from completed forms can be done in Adobe Acrobat or via command line with pdftk.
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
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
g(x) represents the area under the curve of f(t) between 0 and x.
.
x
What can you say about g? 2 4 6 8 10f
The First Fundamental Theorem of Calculus
Theorem (First Fundamental Theorem of Calculus)
Let f be a con nuous func on on [a, b]. Define the func on F on [a, b] by
∫ x
F(x) = f(t) dt
a
Then F is con nuous on [a, b] and differentiable on (a, b) and for all x in (a, b),
F′(x
Lesson 26: The Fundamental Theorem of Calculus (slides)Matthew Leingang
The document discusses the Fundamental Theorem of Calculus, which has two parts. The first part states that if a function f is continuous on an interval, then the derivative of the integral of f is equal to f. This is proven using Riemann sums. The second part relates the integral of a function f to the integral of its derivative F'. Examples are provided to illustrate how the area under a curve relates to these concepts.
Lesson 27: Integration by Substitution (handout)Matthew Leingang
This document contains lecture notes on integration by substitution from a Calculus I class. It introduces the technique of substitution for both indefinite and definite integrals. For indefinite integrals, the substitution rule is presented, along with examples of using substitutions to evaluate integrals involving polynomials, trigonometric, exponential, and other functions. For definite integrals, the substitution rule is extended and examples are worked through both with and without first finding the indefinite integral. The document emphasizes that substitution often simplifies integrals and makes them easier to evaluate.
Lesson 26: The Fundamental Theorem of Calculus (handout)Matthew Leingang
1) The document discusses lecture notes on Section 5.4: The Fundamental Theorem of Calculus from a Calculus I course. 2) It covers stating and explaining the Fundamental Theorems of Calculus and using the first fundamental theorem to find derivatives of functions defined by integrals. 3) The lecture outlines the first fundamental theorem, which relates differentiation and integration, and gives examples of applying it.
This document contains notes from a calculus class lecture on evaluating definite integrals. It discusses using the evaluation theorem to evaluate definite integrals, writing derivatives as indefinite integrals, and interpreting definite integrals as the net change of a function over an interval. The document also contains examples of evaluating definite integrals, properties of integrals, and an outline of the key topics covered.
This document contains lecture notes from a Calculus I class covering Section 5.3 on evaluating definite integrals. The notes discuss using the Evaluation Theorem to calculate definite integrals, writing derivatives as indefinite integrals, and interpreting definite integrals as the net change of a function over an interval. Examples are provided to demonstrate evaluating definite integrals using the midpoint rule approximation. Properties of integrals such as additivity and the relationship between definite and indefinite integrals are also outlined.
Lesson 24: Areas and Distances, The Definite Integral (handout)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
Lesson 24: Areas and Distances, The Definite Integral (slides)Matthew Leingang
We can define the area of a curved region by a process similar to that by which we determined the slope of a curve: approximation by what we know and a limit.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
At times it is useful to consider a function whose derivative is a given function. We look at the general idea of reversing the differentiation process and its applications to rectilinear motion.
This document contains lecture notes from a Calculus I class discussing optimization problems. It begins with announcements about upcoming exams and courses the professor is teaching. It then presents an example problem about finding the rectangle of a fixed perimeter with the maximum area. The solution uses calculus techniques like taking the derivative to find the critical points and determine that the optimal rectangle is a square. The notes discuss strategies for solving optimization problems and summarize the key steps to take.
Uncountably many problems in life and nature can be expressed in terms of an optimization principle. We look at the process and find a few good examples.
The document discusses curve sketching of functions by analyzing their derivatives. It provides:
1) A checklist for graphing a function which involves finding where the function is positive/negative/zero, its monotonicity from the first derivative, and concavity from the second derivative.
2) An example of graphing the cubic function f(x) = 2x^3 - 3x^2 - 12x through analyzing its derivatives.
3) Explanations of the increasing/decreasing test and concavity test to determine monotonicity and concavity from a function's derivatives.
The document contains lecture notes on curve sketching from a Calculus I class. It discusses using the first and second derivative tests to determine properties of a function like monotonicity, concavity, maxima, minima, and points of inflection in order to sketch the graph of the function. It then provides an example of using these tests to sketch the graph of the cubic function f(x) = 2x^3 - 3x^2 - 12x.
Lesson 20: Derivatives and the Shapes of Curves (slides)Matthew Leingang
This document contains lecture notes on derivatives and the shapes of curves from a Calculus I class taught by Professor Matthew Leingang at New York University. The notes cover using derivatives to determine the intervals where a function is increasing or decreasing, classifying critical points as maxima or minima, using the second derivative to determine concavity, and applying the first and second derivative tests. Examples are provided to illustrate finding intervals of monotonicity for various functions.
Lesson 20: Derivatives and the Shapes of Curves (handout)Matthew Leingang
This document contains lecture notes on calculus from a Calculus I course. It covers determining the monotonicity of functions using the first derivative test. Key points include using the sign of the derivative to determine if a function is increasing or decreasing over an interval, and using the first derivative test to classify critical points as local maxima, minima, or neither. Examples are provided to demonstrate finding intervals of monotonicity for various functions and applying the first derivative test.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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
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
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Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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1. Section 1.2
A Catalog of Essential Functions
V63.0121, Calculus I
January 22, 2009
Announcements
Blackboard is up
First HW due Thursday 1/29
ALEKS initial assessment due Friday 1/30
2. Outline
Modeling
Classes of Functions
Linear functions
Quadratic functions
Cubic functions
Other power functions
Rational functions
Trigonometric Functions
Exponential and Logarithmic functions
Transformations of Functions
Compositions of Functions
3. The Modeling Process
model
Real-world Mathematical
Problems Model
solve
test
interpret
Real-world Mathematical
Predictions Conclusions
5. The Modeling Process
model
Real-world Mathematical
Problems Model
solve
test
interpret
Real-world Mathematical
Predictions Conclusions
Shadows Forms
6. Outline
Modeling
Classes of Functions
Linear functions
Quadratic functions
Cubic functions
Other power functions
Rational functions
Trigonometric Functions
Exponential and Logarithmic functions
Transformations of Functions
Compositions of Functions
7. Classes of Functions
linear functions, defined by slope an intercept, point and
point, or point and slope.
quadratic functions, cubic functions, power functions,
polynomials
rational functions
trigonometric functions
exponential/logarithmic functions
8. Linear functions
Linear functions have a constant rate of growth and are of the form
f (x) = mx + b.
9. Linear functions
Linear functions have a constant rate of growth and are of the form
f (x) = mx + b.
Example
In New York City taxis cost $2.50 to get in and $0.40 per 1/5 mile.
Write the fare f (x) as a function of distance x traveled.
10. Linear functions
Linear functions have a constant rate of growth and are of the form
f (x) = mx + b.
Example
In New York City taxis cost $2.50 to get in and $0.40 per 1/5 mile.
Write the fare f (x) as a function of distance x traveled.
Answer
If x is in miles and f (x) in dollars,
f (x) = 2.5 + 2x
12. Quadratic functions
These take the form
f (x) = ax 2 + bx + c
The graph is a parabola which opens upward if a > 0, downward if
a < 0.
13. Cubic functions
These take the form
f (x) = ax 3 + bx 2 + cx + d
14. Other power functions
Whole number powers: f (x) = x n .
1
negative powers are reciprocals: x −3 = 3 .
x
√
fractional powers are roots: x 1/3 = 3 x.
15. Rational functions
Definition
A rational function is a quotient of polynomials.
Example
x 3 (x + 3)
The function f (x) = is rational.
(x + 2)(x − 1)
17. Exponential and Logarithmic functions
exponential functions (for example f (x) = 2x )
logarithmic functions are their inverses (for example
f (x) = log2 (x))
18. Outline
Modeling
Classes of Functions
Linear functions
Quadratic functions
Cubic functions
Other power functions
Rational functions
Trigonometric Functions
Exponential and Logarithmic functions
Transformations of Functions
Compositions of Functions
19. Transformations of Functions
Take the sine function and graph these transformations:
π
sin x +
2
π
sin x −
2
π
sin (x) +
2
π
sin (x) −
2
20. Transformations of Functions
Take the sine function and graph these transformations:
π
sin x +
2
π
sin x −
2
π
sin (x) +
2
π
sin (x) −
2
Observe that if the fiddling occurs within the function, a
transformation is applied on the x-axis. After the function, to the
y -axis.
21. Vertical and Horizontal Shifts
Suppose c > 0. To obtain the graph of
y = f (x) + c, shift the graph of y = f (x) a distance c units
y = f (x) − c, shift the graph of y = f (x) a distance c units
y = f (x − c), shift the graph of y = f (x) a distance c units
y = f (x + c), shift the graph of y = f (x) a distance c units
22. Vertical and Horizontal Shifts
Suppose c > 0. To obtain the graph of
y = f (x) + c, shift the graph of y = f (x) a distance c units
upward
y = f (x) − c, shift the graph of y = f (x) a distance c units
y = f (x − c), shift the graph of y = f (x) a distance c units
y = f (x + c), shift the graph of y = f (x) a distance c units
23. Vertical and Horizontal Shifts
Suppose c > 0. To obtain the graph of
y = f (x) + c, shift the graph of y = f (x) a distance c units
upward
y = f (x) − c, shift the graph of y = f (x) a distance c units
downward
y = f (x − c), shift the graph of y = f (x) a distance c units
y = f (x + c), shift the graph of y = f (x) a distance c units
24. Vertical and Horizontal Shifts
Suppose c > 0. To obtain the graph of
y = f (x) + c, shift the graph of y = f (x) a distance c units
upward
y = f (x) − c, shift the graph of y = f (x) a distance c units
downward
y = f (x − c), shift the graph of y = f (x) a distance c units
to the right
y = f (x + c), shift the graph of y = f (x) a distance c units
25. Vertical and Horizontal Shifts
Suppose c > 0. To obtain the graph of
y = f (x) + c, shift the graph of y = f (x) a distance c units
upward
y = f (x) − c, shift the graph of y = f (x) a distance c units
downward
y = f (x − c), shift the graph of y = f (x) a distance c units
to the right
y = f (x + c), shift the graph of y = f (x) a distance c units
to the left
26. Outline
Modeling
Classes of Functions
Linear functions
Quadratic functions
Cubic functions
Other power functions
Rational functions
Trigonometric Functions
Exponential and Logarithmic functions
Transformations of Functions
Compositions of Functions
27. Composition is a compounding of functions in succession
g ◦f
g
x (g ◦ f )(x)
f
f (x)
28. Composing
Example
Let f (x) = x 2 and g (x) = sin x. Compute f g and g ◦ f .
◦
29. Composing
Example
Let f (x) = x 2 and g (x) = sin x. Compute f g and g ◦ f .
◦
Solution
f ◦ g (x) = sin2 x while g ◦ f (x) = sin(x 2 ). Note they are not the
same.
30. Decomposing
Example
Express x 2 − 4 as a composition of two functions. What is its
domain?
Solution √
We can write the expression as f ◦ g , where f (u) = u and
g (x) = x 2 − 4. The range of g needs to be within the domain of
f . To insure that x 2 − 4 ≥ 0, we must have x ≤ −2 or x ≥ 2.