The document discusses three theorems for finding real roots of real polynomials:
1) Descartes' Rule of Signs determines the possible number of positive or negative real roots based on the variation in signs of the polynomial's coefficients.
2) The Theorem on the Bounds gives the interval where real roots must reside.
3) The Theorem on Rational Roots identifies possible rational roots for polynomials with integer coefficients.
The document discusses factorable polynomials and graphing them. It defines a factorable polynomial P(x) as one that can be written as the product of linear factors P(x) = an(x - r1)(x - r2)...(x - rk), where r1, r2, etc. are the roots of P(x). It explains that for large values of |x|, the leading term of P(x) dominates so the graph resembles that of the leading term, while near the roots other terms contribute to the shape of the graph. Examples of graphs of polynomials like x^n are provided to illustrate the approach.
- The order of a root of a polynomial is the number of times the root repeats.
- The polynomial x5 + 2x4 + x3 has two roots, x = 0 with order 3 and x = -1 with order 2.
- In general, polynomials of the form k(x - c1)m(x - c2)m...(x - cn)m have roots x = c1 with order m1, x = c2 with order m2, and so on.
The document discusses various transformations that can be performed on graphs of functions, including vertical translations, stretches, and compressions. Vertical translations move the entire graph up or down by adding or subtracting a constant to the function. Stretches elongate or compress the graph vertically by multiplying the function by a constant greater than or less than 1, respectively. These transformations can be represented by modifying the original function in a way that corresponds to the geometric transformation of its graph.
The document discusses exponential and logarithmic expressions. Exponential expressions like 43, 82, 26 all equal 64. Their corresponding logarithmic forms are log4(64), log8(64), log2(64) and equal 3, 2, 6 respectively. When working with exponential or logarithmic expressions, the base number must be identified first. Both numbers in the logarithmic expression logb(y) must be positive.
The document discusses notation and algebra of functions. It defines a function as a procedure that assigns a unique output to each valid input. Most mathematical functions are represented by formulas like f(x) = x^2 - 2x + 3, where f(x) is the name of the function, x is the input variable, and the formula defines the relationship between input and output. New functions can be formed using basic operations like addition, subtraction, multiplication, and division of existing functions. Examples are provided to demonstrate evaluating functions at given inputs and combining functions algebraically.
1.0 factoring trinomials the ac method and making lists-xmath260
The document discusses factoring trinomials and making lists of numbers to help determine which trinomials are factorable. It states that trinomials are either factorable, where they can be written as the product of two binomials, or prime/unfactorable. Making lists of numbers that satisfy certain criteria, like having a product of the top number in a table, can help identify factorable trinomials and determine the factors.
The document discusses using sign charts to solve polynomial and rational inequalities. It provides examples of solving inequalities by setting one side equal to zero, factoring the expression, drawing the sign chart, and determining the solutions from the regions with the appropriate signs. Specifically, it works through examples of solving x^2 - 3x > 4, 2x^2 - x^3/(x^2 - 2x + 1) < 0, and (x - 2)/(2/(x - 1)) < 3.
The document discusses calculating the slope of a curve between two points (x, f(x)) and (x+h, f(x+h)) using the difference quotient formula. It defines the difference quotient as (f(x+h) - f(x))/h, where h is the difference between x and x+h. An example calculates the slope between the points (2, f(2)) and (2.2, f(2.2)) for the function f(x) = x^2 - 2x + 2, finding the slope to be 0.44.
The document discusses factorable polynomials and graphing them. It defines a factorable polynomial P(x) as one that can be written as the product of linear factors P(x) = an(x - r1)(x - r2)...(x - rk), where r1, r2, etc. are the roots of P(x). It explains that for large values of |x|, the leading term of P(x) dominates so the graph resembles that of the leading term, while near the roots other terms contribute to the shape of the graph. Examples of graphs of polynomials like x^n are provided to illustrate the approach.
- The order of a root of a polynomial is the number of times the root repeats.
- The polynomial x5 + 2x4 + x3 has two roots, x = 0 with order 3 and x = -1 with order 2.
- In general, polynomials of the form k(x - c1)m(x - c2)m...(x - cn)m have roots x = c1 with order m1, x = c2 with order m2, and so on.
The document discusses various transformations that can be performed on graphs of functions, including vertical translations, stretches, and compressions. Vertical translations move the entire graph up or down by adding or subtracting a constant to the function. Stretches elongate or compress the graph vertically by multiplying the function by a constant greater than or less than 1, respectively. These transformations can be represented by modifying the original function in a way that corresponds to the geometric transformation of its graph.
The document discusses exponential and logarithmic expressions. Exponential expressions like 43, 82, 26 all equal 64. Their corresponding logarithmic forms are log4(64), log8(64), log2(64) and equal 3, 2, 6 respectively. When working with exponential or logarithmic expressions, the base number must be identified first. Both numbers in the logarithmic expression logb(y) must be positive.
The document discusses notation and algebra of functions. It defines a function as a procedure that assigns a unique output to each valid input. Most mathematical functions are represented by formulas like f(x) = x^2 - 2x + 3, where f(x) is the name of the function, x is the input variable, and the formula defines the relationship between input and output. New functions can be formed using basic operations like addition, subtraction, multiplication, and division of existing functions. Examples are provided to demonstrate evaluating functions at given inputs and combining functions algebraically.
1.0 factoring trinomials the ac method and making lists-xmath260
The document discusses factoring trinomials and making lists of numbers to help determine which trinomials are factorable. It states that trinomials are either factorable, where they can be written as the product of two binomials, or prime/unfactorable. Making lists of numbers that satisfy certain criteria, like having a product of the top number in a table, can help identify factorable trinomials and determine the factors.
The document discusses using sign charts to solve polynomial and rational inequalities. It provides examples of solving inequalities by setting one side equal to zero, factoring the expression, drawing the sign chart, and determining the solutions from the regions with the appropriate signs. Specifically, it works through examples of solving x^2 - 3x > 4, 2x^2 - x^3/(x^2 - 2x + 1) < 0, and (x - 2)/(2/(x - 1)) < 3.
The document discusses calculating the slope of a curve between two points (x, f(x)) and (x+h, f(x+h)) using the difference quotient formula. It defines the difference quotient as (f(x+h) - f(x))/h, where h is the difference between x and x+h. An example calculates the slope between the points (2, f(2)) and (2.2, f(2.2)) for the function f(x) = x^2 - 2x + 2, finding the slope to be 0.44.
24 exponential functions and periodic compound interests pina xmath260
The document discusses exponential functions and their properties. It defines exponential functions as functions of the form f(x) = bx where b > 0 and b ≠ 1. It provides examples of calculating exponential expressions using rules for positive integer, fractional, and real number exponents. Exponential functions are important in fields like finance, science, and computing. Common exponential functions include y = 10x, y = ex, and y = 2x. An example shows how to calculate compound interest monthly over several periods using the exponential function formulation.
The document describes the rectangular coordinate system. Each point in a plane can be located using an ordered pair (x,y) where x represents the distance right or left from the origin and y represents the distance up or down. Changing the x-value moves the point right or left, and changing the y-value moves the point up or down. The plane is divided into four quadrants based on the sign of the x and y values. Reflecting a point across an axis results in another point with the same magnitude but opposite sign for the corresponding coordinate.
The document discusses quadratic functions and parabolas. It defines quadratic functions as functions of the form y = ax2 + bx + c, where a ≠ 0. It states that the graphs of quadratic equations are called parabolas. Parabolas are symmetric around a central line, with the vertex (highest/lowest point) located on this line. The vertex formula is given as x = -b/2a. Steps for graphing a parabola are outlined, including finding the vertex, another point, and reflections across the central line. An example graphs the parabola y = x2 - 4x - 12, finding the vertex as (2, -16) and x-intercepts as -
The document discusses exponents and exponent rules. It defines exponents as the number of times a base is multiplied by 1. It presents rules for multiplying, dividing, and raising exponents. Examples are provided to demonstrate applying the rules, such as using the power-multiply rule to evaluate (22*34)3. Special exponent rules are also covered, such as the 0-power rule where A0 equals 1 when A is not 0. The document provides examples of calculating fractional exponents by first extracting the root and then raising it to the numerator power.
14 graphs of factorable rational functions xmath260
The document discusses graphs of rational functions. It defines rational functions as functions of the form R(x) = P(x)/Q(x) where P(x) and Q(x) are polynomials. It describes how vertical asymptotes occur where the denominator Q(x) is zero. The graph runs along either side of vertical asymptotes, going up or down depending on the sign chart. There are four cases for how the graph behaves at a vertical asymptote. The document uses examples to illustrate graphing rational functions and determining vertical asymptotes. It also mentions horizontal asymptotes will be discussed.
The document discusses sign charts for factorable formulas. It provides examples of determining the sign (positive or negative) of expressions when evaluated at given values of x by factoring the expressions into their factored forms. The key steps to create a sign chart are: 1) solve for values where the expression is equal to 0, 2) mark these values on a number line, 3) select points in each segment to test the sign, 4) indicate the sign (positive or negative) in each segment based on the testing. Sign charts show the regions where an expression is positive, negative or equal to 0.
The document discusses periodic compound interest and continuous compound interest formulas. It provides an example to calculate the accumulation in an account over 20 years with an annual 8% interest rate compounded 100, 1000, and 10000 times per year. Compounding more frequently results in a larger return, approaching the continuous compound interest formula value. Compounding 10000 times per year yields the highest return of $4953.
The document discusses inverse functions. An inverse function reverses the input and output of a function. For a function f(x) to have an inverse function f^-1(y), it must be one-to-one, meaning that different inputs map to different outputs. The inverse of f(x) is obtained by solving the original function equation for x in terms of y. Examples show how to determine if a function has an inverse and how to calculate the inverse function. For non one-to-one functions like f(x)=x^2, the inverse procedure is not a well-defined function.
This document discusses solving numerical equations involving logarithmic and exponential functions. It provides examples of solving both log equations and exponential equations. To solve log equations, the problems are rewritten in exponential form by removing the log. To solve exponential equations, the exponents are brought down by rewriting the problem in logarithmic form. Steps include isolating the exponential or logarithmic term containing the unknown, rewriting the equation accordingly, and then solving for the unknown variable. Practice problems with solutions are provided to illustrate the process.
6 comparison statements, inequalities and intervals ymath260
The document discusses how to translate comparison statements and phrases into mathematical inequalities. It explains that real numbers can be represented on a number line, with positive numbers to the right of zero and negative numbers to the left. Common comparisons like "greater than", "less than", "at least", and "at most" are then defined in terms of inequalities. For example, "x is greater than a" is written as "a < x", and "x is at most b" is written as "x ≤ b". Compound comparisons are also addressed, such as "x is more than a but no more than b" being written as "a < x ≤ b".
The document discusses polynomial division algorithms. It introduces long division and synthetic division as methods for dividing polynomials. Long division is analogous to dividing numbers, where the dividend is divided by the divisor to obtain a quotient and remainder. Synthetic division is simpler but can only be used to divide a polynomial by a monomial. The key points are then demonstrated through worked examples of long division.
This document discusses first degree functions and linear equations. It explains that most real-world mathematical functions can be composed of algebraic, trigonometric, or exponential/log formulas. Linear equations of the form Ax + By = C represent straight lines that can be graphed by finding the x- and y-intercepts. If an equation contains only one variable, it represents a vertical or horizontal line. The slope-intercept form y = mx + b is introduced, where m is the slope and b is the y-intercept. Slope is defined as the ratio of the rise over the run between two points on a line.
The document discusses different methods for solving equations, including:
- Solving 1st and 2nd degree polynomial equations by setting them equal to 0 and using factoring or the quadratic formula.
- Solving rational equations by clearing all denominators using the lowest common denominator.
- Solving equations may require transforming them into polynomial equations first through methods like factoring or factoring by grouping.
The document discusses the Fundamental Theorem of Algebra, which establishes that any polynomial of degree n has n complex roots, counting multiplicity. It also states that if a polynomial has real coefficients, then its complex roots must occur in conjugate pairs. The proof of this second part is then shown. It involves using properties of complex conjugates, such as (az)* = a(z*) if a is real, to show that if z is a root, then its conjugate z* is also a root.
The document discusses matrix algebra and operations on matrices. It defines a matrix as a rectangular table of numbers with rows and columns. A matrix with R rows and C columns is denoted as an R x C matrix. Individual entries in a matrix are denoted by their row and column position, such as a32 for the entry in the 3rd row and 2nd column. There are two main types of operations on matrices - adding/subtracting same-sized matrices entry by entry, and multiplying matrices. Matrix multiplication involves multiplying corresponding entries of a row and column and summing the products.
This document discusses two types of log and exponential equations: those that do not require calculators and numerical equations that do require calculators. Equations that do not require calculators can be solved by putting both sides into a common base, consolidating exponents, and dropping the base to solve the resulting equation. For log equations, logs are consolidated on each side first before dropping the log. Two examples demonstrating these solution methods are provided.
The document discusses mathematical expressions and polynomials. It provides examples of algebraic expressions involving variables and operations. Polynomial expressions are algebraic expressions that can be written in the form anxn + an-1xn-1 + ... + a1x + a0, where the ai coefficients are numbers. The document gives examples of factoring polynomials using formulas like a3b3 = (ab)(a2ab + b2). Factoring polynomials makes it easier to calculate outputs and simplify expressions for operations like addition and subtraction.
The document discusses functions and their basic language. It defines a function as a procedure that assigns each input exactly one output. It provides examples of functions, such as a license number to name function. It explains that a function must have a domain (set of inputs) and range (set of outputs). Functions can be represented graphically, through tables of inputs and outputs, or with mathematical formulas.
This document discusses conic sections and first degree equations. It begins by introducing conic sections as the shapes formed by slicing a cone at different angles. It then covers first degree equations, noting that their graphs are straight lines that can be written in the form of y=mx+b. Specific examples of first degree equations and their graphs are shown. The document ends by introducing the four types of conic sections - circles, ellipses, parabolas, and hyperbolas - and how graphs of second degree equations can represent these shapes.
The document discusses complex numbers. It begins by explaining that the equation x^2 = -1 has no real solutions, so an imaginary number i is defined such that i^2 = -1. A complex number is then defined as a number of the form a + bi, where a is the real part and bi is the imaginary part. Rules for adding, subtracting and multiplying complex numbers by treating i as a variable and setting i^2 to -1 are provided. Examples of solving equations and performing operations with complex numbers are given.
Factoring polynomials breaks them down into simpler factors whose degrees add up to the original polynomial's degree. A number is a root of a polynomial if plugging it into the polynomial equals zero. There is a relationship between roots and factors: if x-a is a factor, then a is a root, and vice versa. Graphically, roots are the x-intercepts of a polynomial's graph. Numerically, programs can find approximations of roots, but may be imprecise.
The document discusses sign charts of factorable polynomials and rational expressions. It defines a factorable polynomial as one that can be written as the product of real linear factors. An example polynomial is fully factored. Roots of the polynomial are defined as the values making each linear factor equal to zero. The order of a root is defined as the power of the corresponding factor. The Even/Odd-Order Sign Rule is stated: for a factorable polynomial, signs are the same on both sides of an even-ordered root and different on both sides of an odd-ordered root. An example sign chart is constructed applying this rule.
24 exponential functions and periodic compound interests pina xmath260
The document discusses exponential functions and their properties. It defines exponential functions as functions of the form f(x) = bx where b > 0 and b ≠ 1. It provides examples of calculating exponential expressions using rules for positive integer, fractional, and real number exponents. Exponential functions are important in fields like finance, science, and computing. Common exponential functions include y = 10x, y = ex, and y = 2x. An example shows how to calculate compound interest monthly over several periods using the exponential function formulation.
The document describes the rectangular coordinate system. Each point in a plane can be located using an ordered pair (x,y) where x represents the distance right or left from the origin and y represents the distance up or down. Changing the x-value moves the point right or left, and changing the y-value moves the point up or down. The plane is divided into four quadrants based on the sign of the x and y values. Reflecting a point across an axis results in another point with the same magnitude but opposite sign for the corresponding coordinate.
The document discusses quadratic functions and parabolas. It defines quadratic functions as functions of the form y = ax2 + bx + c, where a ≠ 0. It states that the graphs of quadratic equations are called parabolas. Parabolas are symmetric around a central line, with the vertex (highest/lowest point) located on this line. The vertex formula is given as x = -b/2a. Steps for graphing a parabola are outlined, including finding the vertex, another point, and reflections across the central line. An example graphs the parabola y = x2 - 4x - 12, finding the vertex as (2, -16) and x-intercepts as -
The document discusses exponents and exponent rules. It defines exponents as the number of times a base is multiplied by 1. It presents rules for multiplying, dividing, and raising exponents. Examples are provided to demonstrate applying the rules, such as using the power-multiply rule to evaluate (22*34)3. Special exponent rules are also covered, such as the 0-power rule where A0 equals 1 when A is not 0. The document provides examples of calculating fractional exponents by first extracting the root and then raising it to the numerator power.
14 graphs of factorable rational functions xmath260
The document discusses graphs of rational functions. It defines rational functions as functions of the form R(x) = P(x)/Q(x) where P(x) and Q(x) are polynomials. It describes how vertical asymptotes occur where the denominator Q(x) is zero. The graph runs along either side of vertical asymptotes, going up or down depending on the sign chart. There are four cases for how the graph behaves at a vertical asymptote. The document uses examples to illustrate graphing rational functions and determining vertical asymptotes. It also mentions horizontal asymptotes will be discussed.
The document discusses sign charts for factorable formulas. It provides examples of determining the sign (positive or negative) of expressions when evaluated at given values of x by factoring the expressions into their factored forms. The key steps to create a sign chart are: 1) solve for values where the expression is equal to 0, 2) mark these values on a number line, 3) select points in each segment to test the sign, 4) indicate the sign (positive or negative) in each segment based on the testing. Sign charts show the regions where an expression is positive, negative or equal to 0.
The document discusses periodic compound interest and continuous compound interest formulas. It provides an example to calculate the accumulation in an account over 20 years with an annual 8% interest rate compounded 100, 1000, and 10000 times per year. Compounding more frequently results in a larger return, approaching the continuous compound interest formula value. Compounding 10000 times per year yields the highest return of $4953.
The document discusses inverse functions. An inverse function reverses the input and output of a function. For a function f(x) to have an inverse function f^-1(y), it must be one-to-one, meaning that different inputs map to different outputs. The inverse of f(x) is obtained by solving the original function equation for x in terms of y. Examples show how to determine if a function has an inverse and how to calculate the inverse function. For non one-to-one functions like f(x)=x^2, the inverse procedure is not a well-defined function.
This document discusses solving numerical equations involving logarithmic and exponential functions. It provides examples of solving both log equations and exponential equations. To solve log equations, the problems are rewritten in exponential form by removing the log. To solve exponential equations, the exponents are brought down by rewriting the problem in logarithmic form. Steps include isolating the exponential or logarithmic term containing the unknown, rewriting the equation accordingly, and then solving for the unknown variable. Practice problems with solutions are provided to illustrate the process.
6 comparison statements, inequalities and intervals ymath260
The document discusses how to translate comparison statements and phrases into mathematical inequalities. It explains that real numbers can be represented on a number line, with positive numbers to the right of zero and negative numbers to the left. Common comparisons like "greater than", "less than", "at least", and "at most" are then defined in terms of inequalities. For example, "x is greater than a" is written as "a < x", and "x is at most b" is written as "x ≤ b". Compound comparisons are also addressed, such as "x is more than a but no more than b" being written as "a < x ≤ b".
The document discusses polynomial division algorithms. It introduces long division and synthetic division as methods for dividing polynomials. Long division is analogous to dividing numbers, where the dividend is divided by the divisor to obtain a quotient and remainder. Synthetic division is simpler but can only be used to divide a polynomial by a monomial. The key points are then demonstrated through worked examples of long division.
This document discusses first degree functions and linear equations. It explains that most real-world mathematical functions can be composed of algebraic, trigonometric, or exponential/log formulas. Linear equations of the form Ax + By = C represent straight lines that can be graphed by finding the x- and y-intercepts. If an equation contains only one variable, it represents a vertical or horizontal line. The slope-intercept form y = mx + b is introduced, where m is the slope and b is the y-intercept. Slope is defined as the ratio of the rise over the run between two points on a line.
The document discusses different methods for solving equations, including:
- Solving 1st and 2nd degree polynomial equations by setting them equal to 0 and using factoring or the quadratic formula.
- Solving rational equations by clearing all denominators using the lowest common denominator.
- Solving equations may require transforming them into polynomial equations first through methods like factoring or factoring by grouping.
The document discusses the Fundamental Theorem of Algebra, which establishes that any polynomial of degree n has n complex roots, counting multiplicity. It also states that if a polynomial has real coefficients, then its complex roots must occur in conjugate pairs. The proof of this second part is then shown. It involves using properties of complex conjugates, such as (az)* = a(z*) if a is real, to show that if z is a root, then its conjugate z* is also a root.
The document discusses matrix algebra and operations on matrices. It defines a matrix as a rectangular table of numbers with rows and columns. A matrix with R rows and C columns is denoted as an R x C matrix. Individual entries in a matrix are denoted by their row and column position, such as a32 for the entry in the 3rd row and 2nd column. There are two main types of operations on matrices - adding/subtracting same-sized matrices entry by entry, and multiplying matrices. Matrix multiplication involves multiplying corresponding entries of a row and column and summing the products.
This document discusses two types of log and exponential equations: those that do not require calculators and numerical equations that do require calculators. Equations that do not require calculators can be solved by putting both sides into a common base, consolidating exponents, and dropping the base to solve the resulting equation. For log equations, logs are consolidated on each side first before dropping the log. Two examples demonstrating these solution methods are provided.
The document discusses mathematical expressions and polynomials. It provides examples of algebraic expressions involving variables and operations. Polynomial expressions are algebraic expressions that can be written in the form anxn + an-1xn-1 + ... + a1x + a0, where the ai coefficients are numbers. The document gives examples of factoring polynomials using formulas like a3b3 = (ab)(a2ab + b2). Factoring polynomials makes it easier to calculate outputs and simplify expressions for operations like addition and subtraction.
The document discusses functions and their basic language. It defines a function as a procedure that assigns each input exactly one output. It provides examples of functions, such as a license number to name function. It explains that a function must have a domain (set of inputs) and range (set of outputs). Functions can be represented graphically, through tables of inputs and outputs, or with mathematical formulas.
This document discusses conic sections and first degree equations. It begins by introducing conic sections as the shapes formed by slicing a cone at different angles. It then covers first degree equations, noting that their graphs are straight lines that can be written in the form of y=mx+b. Specific examples of first degree equations and their graphs are shown. The document ends by introducing the four types of conic sections - circles, ellipses, parabolas, and hyperbolas - and how graphs of second degree equations can represent these shapes.
The document discusses complex numbers. It begins by explaining that the equation x^2 = -1 has no real solutions, so an imaginary number i is defined such that i^2 = -1. A complex number is then defined as a number of the form a + bi, where a is the real part and bi is the imaginary part. Rules for adding, subtracting and multiplying complex numbers by treating i as a variable and setting i^2 to -1 are provided. Examples of solving equations and performing operations with complex numbers are given.
Factoring polynomials breaks them down into simpler factors whose degrees add up to the original polynomial's degree. A number is a root of a polynomial if plugging it into the polynomial equals zero. There is a relationship between roots and factors: if x-a is a factor, then a is a root, and vice versa. Graphically, roots are the x-intercepts of a polynomial's graph. Numerically, programs can find approximations of roots, but may be imprecise.
The document discusses sign charts of factorable polynomials and rational expressions. It defines a factorable polynomial as one that can be written as the product of real linear factors. An example polynomial is fully factored. Roots of the polynomial are defined as the values making each linear factor equal to zero. The order of a root is defined as the power of the corresponding factor. The Even/Odd-Order Sign Rule is stated: for a factorable polynomial, signs are the same on both sides of an even-ordered root and different on both sides of an odd-ordered root. An example sign chart is constructed applying this rule.
The document discusses sign charts of factorable polynomials. A polynomial is factorable if it can be written as the product of linear factors. The sign chart of a factorable polynomial follows an important rule: if a root has an even order, the signs are the same on both sides; if a root has an odd order, the signs are different on both sides. This is called the even/odd-order sign rule. An example demonstrates finding the sign chart of a polynomial by identifying the roots and their orders, and then applying the sign rule.
To summarize the key steps for factoring polynomials:
1. Determine possible integer roots by finding the divisors of the constant term.
2. Use the remainder theorem or Ruffini's rule to check if an integer is a root by dividing the polynomial by (x - a) and checking if the remainder is zero.
3. Integer roots that produce a zero remainder are factors of the polynomial. Repeating this process allows one to fully factor the polynomial into linear terms.
This document discusses factoring polynomials and finding the roots of polynomials. It defines factoring as writing a polynomial as the product of two or more polynomials. Roots are numbers that make a polynomial equal to zero when substituted into the polynomial. The document explains that finding a root of a polynomial is equivalent to having that root be a linear factor of the polynomial. It provides examples of finding real roots graphically by looking at the x-intercepts of a polynomial graph and finding both real and complex roots numerically using software.
The document discusses several topics relating to polynomial functions:
1. It introduces the Fundamental Theorem of Algebra, Descartes' Rule of Signs, the Remainder Theorem, Factor Theorem, and Rational Zeros Theorem.
2. It explains that Descartes' Rule of Signs gives an upper bound on the number of positive roots a polynomial may have, similar to how the Fundamental Theorem gives an upper bound on total roots.
3. It provides an example using synthetic division to demonstrate how the Remainder Theorem and Factor Theorem can be used to determine if a linear factor is present.
The document discusses factoring polynomials. It defines key terms like the numerical value of a polynomial, roots of a polynomial, and factors of a polynomial. There are several methods discussed to determine the roots of a polynomial, which are needed to factor the polynomial. Specifically, one can use the remainder theorem with long division, evaluate the polynomial for possible integer roots, or solve the polynomial equation equal to zero. Finding all the roots allows one to completely factor the polynomial into its linear factors.
- Polynomials are expressions constructed from variables and constants with non-negative whole number exponents.
- The degree of a polynomial is the highest exponent among its terms. Zeroes are values that make the polynomial equal to zero.
- There is a relationship between the number of zeroes a polynomial can have and its degree. Linear polynomials have at most 1 zero, quadratics have at most 2 zeros, and cubics have at most 3 zeros.
- The coefficients of a polynomial are related to its zeroes through formulas involving the sum and product of the zeroes.
- The order of a root of a polynomial is the number of times the root repeats.
- The polynomial x5 + 2x4 + x3 has two roots, x = 0 with order 3 and x = -1 with order 2.
- In general, polynomials of the form k(x - c1)m(x - c2)m...(x - cn)m have roots x = c1 with order m1, x = c2 with order m2, and so on.
This document defines polynomials and discusses their key properties. It begins by defining a polynomial as an algebraic expression with two or more terms where the power of each variable is a positive integer. The degree of a polynomial is defined as the highest power of the variable. Polynomials are then classified based on their degree as constant, linear, quadratic, cubic, etc. The document also discusses the zeros or roots of a polynomial, which are the values that make the polynomial equal to zero. It shows how the zeros relate to the coefficients of the polynomial and can be found using factoring or solving techniques. Examples are provided to illustrate dividing polynomials using the division algorithm.
The document discusses properties of polynomials:
1) If a polynomial P(x) has k distinct real zeros a1, a2,..., ak, then (x - a1)(x - a2)...(x - ak) is a factor of P(x).
2) If a polynomial has degree n and n distinct real zeros, then it can be written as (x - a1)(x - a2)...(x - an).
3) A polynomial of degree n cannot have more than n distinct real zeros.
An example shows a polynomial with a double zero at -7 and single zero at 2 can be written as (x - 2)(x + 7)2.
The document discusses the relationship between the roots, solutions, zeros, x-intercepts, and factors of polynomial functions. It explains that the roots of a polynomial are the solutions to the polynomial equation when set equal to zero. The roots are also the x-intercepts of the graph of the polynomial function. Finding the roots involves factoring the polynomial and setting each factor equal to zero, or using theorems like the Fundamental Theorem of Algebra.
Create a polynomial function that meets the following conditions- Expl.docxmrichard5
Create a polynomial function that meets the following conditions. Explain how you created your polynomial.
4. Degree 3, 2 positive real zeros, 1 negative real zero, 0 complex zeros.
Polynomial:
Solution
Polynomial may be : f(x) = -x^3 + x^2 + x - 1 Reasoning : the number of positive roots of the polynomial is either equal to the number of sign differences between consecutive nonzero coefficients. so here has two sign change(the sequence of pairs of successive signs is -+, ++, +-). So it has 2 positive roots. for negative root we change the signs of the coefficients of the terms with odd exponents, i.e., apply Descartes\' rule of signs to the polynomial f(-x), to obtain a second polynomial f(-x) = x^3 + x^2 - x - 1 it has 1 sign change so f(-x) has one positive root so f(x) has 1 negative root.
.
1) The document defines different types of polynomials including linear, quadratic, and cubic polynomials. It gives examples of each type.
2) Key information about polynomials includes that the degree refers to the highest power of the variable, and that a polynomial's zeros are the values where it equals 0.
3) Properties of polynomial zeros are discussed, such as that a linear polynomial has 1 zero, a quadratic polynomial has up to 2 zeros, and a cubic polynomial has up to 3 zeros. Relations between coefficients and zeros are also presented.
A polynomial is an expression involving variables and their powers, where the highest power is called the degree of the polynomial. Some key points:
- A polynomial consists of terms with variables raised to non-negative integer powers, plus coefficients which are constants.
- The degree of a polynomial is the power of the term with the highest exponent. For example, the degree of 3x4 + 2x2 is 4.
- A polynomial can have at most as many real zeros as its degree. The zeros are the values that make the polynomial equal to 0.
- There are relationships between the zeros and coefficients of polynomials, such as the sum and product of the zeros of a quadratic being equal to the
Polynomials are mathematical expressions involving variables and coefficients that use only addition, subtraction, multiplication, and non-negative exponents. They take many forms from simple monomials and binomials to more complex polynomials of varying degrees. Polynomials can be added or subtracted by combining like terms and are used in many areas of mathematics and science.
The document discusses the origins and evolution of fuzzy logic, beginning with fuzzy set theory proposed by Zadeh in 1965 which aimed to represent vagueness in natural language using fuzzy sets with non-crisp boundaries. It explains key concepts in fuzzy logic like membership functions, fuzzy set operations, fuzzy relations and compositions. The document also compares classical sets with crisp boundaries to fuzzy sets and contrasts crisp logic with fuzzy logic which allows for degrees of truth between 0 and 1.
Discrete Mathematics is a branch of mathematics involving discrete elements that uses algebra and arithmetic. It is increasingly being applied in the practical fields of mathematics and computer science. It is a very good tool for improving reasoning and problem-solving capabilities.
The document discusses higher order derivatives. It defines the nth derivative of a function f(x) as f(n)(x). The first example finds the first five derivatives of f(x)=2x^4 - x^3 - 2. The second example finds the first three derivatives of f(x)=-x^2/3. The third example finds the first four derivatives of f(x)=ln(x) and discusses how derivatives of rational functions become more complicated with higher orders. It also provides examples of finding derivatives of other functions like sin(x).
Similar to 23 looking for real roots of real polynomials x (20)
The document introduces matrices and matrix operations. Matrices are rectangular tables of numbers that are used for applications beyond solving systems of equations. Matrix notation defines a matrix with R rows and C columns as an R x C matrix. The entry in the ith row and jth column is denoted as aij. Matrices can be added or subtracted if they are the same size by adding or subtracting the corresponding entries. There are two types of matrix multiplication: scalar multiplication multiplies a matrix by a constant, and matrix multiplication involves multiplying corresponding rows and columns where the number of columns of the left matrix equals the rows of the right matrix.
35 Special Cases System of Linear Equations-x.pptxmath260
The document discusses special cases of systems of linear equations, including inconsistent/contradictory systems where the equations are impossible to satisfy simultaneously, and dependent systems where there are infinitely many solutions. An inconsistent system is shown with equations x + y = 2 and x + y = 3, which has no solution since they cannot both be true. A dependent system is shown with equations x + y = 2 and 2x + 2y = 4, which has infinitely many solutions like (2,0) and (1,1). The row-reduced echelon form (rref) of a matrix is also discussed, which puts a system of equations in a standard form to help determine if it is consistent, dependent, or has
The document discusses conic sections and ellipses. Conic sections are graphs of quadratic equations of the form Ax2 + By2 + Cx + Dy = E, where A and B are not both 0. Their graphs include circles, ellipses, parabolas and hyperbolas. Ellipses are defined as the set of all points where the sum of the distances to two fixed foci is a constant. Ellipses have a center, two axes called the semi-major and semi-minor axes, and radii along the x and y axes called the x-radius and y-radius. The standard form of an ellipse equation is presented.
19 more parabolas a& hyperbolas (optional) xmath260
After dividing the general quadratic equation Ax2 + By2 + Cx + Dy = E by A, three types of conic sections can be obtained:
1) Parabolas occur when B = 0, resulting in equations of the form 1x2 + #x + #y = #.
2) Circles occur when A = B, resulting in the equation 1x2 + 1y2 = 1.
3) Hyperbolas occur when A and B have opposite signs, resulting in equations of the form 1x2 + ry2 + #x + #y = # with r < 0. Hyperbolas have two foci and asymptotes, and points on the hyperbola have
The document discusses conic sections, specifically circles and ellipses. It defines an ellipse as the set of points where the sum of the distances to two fixed foci is a constant. An ellipse has a center, two axes (semi-major and semi-minor), and can be represented by the standard form (x-h)2/a2 + (y-k)2/b2 = 1, where (h,k) is the center, a is the x-radius, and b is the y-radius. Examples are provided to demonstrate finding attributes of ellipses from their equations.
The document discusses first degree (linear) functions. It states that most real-world mathematical functions can be composed of formulas from three families: algebraic, trigonometric, and exponential-logarithmic. It focuses on linear functions of the form f(x)=mx+b, where m is the slope and b is the y-intercept. Examples are given of equations and how to determine the slope and y-intercept to write the equation in slope-intercept form as a linear function.
The document discusses the basic language of functions. It defines a function as a procedure that assigns each input exactly one output. Functions can be represented by formulas using typical variables like f(x) = x^2 - 2x + 3, where x is the input and f(x) is the output. Functions have a domain, which is the set of all possible inputs, and a range, which is the set of all possible outputs. Functions can be depicted graphically or via tables listing inputs and outputs.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
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Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
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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 slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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 ..
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Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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.
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2. In this section we give three theorems concerning
real roots of real polynomials.
Looking for Real Roots of Real Polynomials
3. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
4. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
Descartes' Rule of Signs gives the possible
number of real roots by eyeballing the polynomial.
5. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
Descartes' Rule of Signs gives the possible
number of real roots by eyeballing the polynomial.
Theorem on the Bounds gives the interval of real
numbers where the roots must reside.
6. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
Descartes' Rule of Signs gives the possible
number of real roots by eyeballing the polynomial.
Theorem on the Bounds gives the interval of real
numbers where the roots must reside.
Theorem on Rational Roots gives the possible
rational roots for polynomials with integer coefficients.
7. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
Descartes' Rule of Signs gives the possible
number of real roots by eyeballing the polynomial.
Theorem on the Bounds gives the interval of real
numbers where the roots must reside.
Descartes' Rule and Theorem on the Bounds
are existence-theorems in mathematics,
i.e. they establish the existence of something but
don’t say what they might be.
Theorem on Rational Roots gives the possible
rational roots for polynomials with integer coefficients.
8. In this section we give three theorems concerning
real roots of real polynomials. They give three
different approaches concerning looking for roots.
Looking for Real Roots of Real Polynomials
Descartes' Rule of Signs gives the possible
number of real roots by eyeballing the polynomial.
Theorem on the Bounds gives the interval of real
numbers where the roots must reside.
Descartes' Rule and Theorem on the Bounds
are existence-theorems in mathematics,
i.e. they establish the existence of something but
don’t say what they might be. Theorem on Rational
Roots tells us precisely what to check.
Theorem on Rational Roots gives the possible
rational roots for polynomials with integer coefficients.
9. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots.
10. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
11. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
Proof:
From the Fundamental Theorem Algebra the
complex roots must be in conjugate pairs.
12. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
Proof:
From the Fundamental Theorem Algebra the
complex roots must be in conjugate pairs.
Hence there must be even number of complex roots.
13. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
Proof:
From the Fundamental Theorem Algebra the
complex roots must be in conjugate pairs.
Hence there must be even number of complex roots.
So the remaining roots must be real and there must
be an odd number of them. QED
14. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
Proof:
Given a polynomial P(x), arrange the signs of it's
coefficients starting from the highest degree term in
descending order,
From the Fundamental Theorem Algebra the
complex roots must be in conjugate pairs.
Hence there must be even number of complex roots.
So the remaining roots must be real and there must
be an odd number of them. QED
15. Looking for Real Roots of Real Polynomials
Theorem: If the degree of a real polynomial P(x)
is odd then P(x) must have an odd number of real
roots. In particular, it has at least one real root.
Proof:
Given a polynomial P(x), arrange the signs of it's
coefficients starting from the highest degree term in
descending order, the total number of sign-changes
between consecutive terms is called
the variation of the signs of P(x).
From the Fundamental Theorem Algebra the
complex roots must be in conjugate pairs.
Hence there must be even number of complex roots.
So the remaining roots must be real and there must
be an odd number of them. QED
16. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
17. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
sign switched sign switched
18. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
There are two sign-switches so the variation of Signs
of P(x) is 2.
sign switched sign switched
19. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
There are two sign-switches so the variation of Signs
of P(x) is 2.
sign switched sign switched
Descartes' Rule of Signs:
20. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
There are two sign-switches so the variation of Signs
of P(x) is 2.
sign switched sign switched
Descartes' Rule of Signs: P(x) is a real
polynomial,
21. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
There are two sign-switches so the variation of Signs
of P(x) is 2.
sign switched sign switched
Descartes' Rule of Signs: P(x) is a real polynomial,
a. the number of positive roots of P(x) is equal to the
variation of Signs of P(x) or less than the variation of
Signs of P(x) by an even number.
22. Looking for Real Roots of Real Polynomials
For example, if P(x) = –3x5 + x3 + 2x2 + x – 1,
the signs of its coefficients in order are
– + + + –
There are two sign-switches so the variation of Signs
of P(x) is 2.
sign switched sign switched
Descartes' Rule of Signs: P(x) is a real polynomial,
a. the number of positive roots of P(x) is equal to the
variation of Signs of P(x) or less than the variation of
Signs of P(x) by an even number.
b. the number of negative roots of P(x) is equal to the
variation of Signs of P(–x) or less than the variation
of Signs of P(–x) by an even number.
23. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2.
24. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
25. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
26. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
27. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
The signs of its coefficients in order are
+ – + – –
28. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
The signs of its coefficients in order are
+ – + – –
sign switched
29. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
The signs of its coefficients in order are
+ – + – –
sign switched
the variation of signs of P(-x) is 3.
30. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
The signs of its coefficients in order are
+ – + – –
sign switched
the variation of signs of P(-x) is 3. Hence P(x) has
either 3 negative roots or 1 negative root.
31. Looking for Real Roots of Real Polynomials
Example A. For P(x) = –3x5 + x3 + 2x2 + x – 1 from
the last slide, the variation of signs is 2. Hence P(x)
has either 2 positive roots or no positive roots.
P(-x) = -3(-x)5 + (-x)3 + 2(-x)2 + (-x) – 1
= 3x5 – x3 + 2x2 – x – 1
The signs of its coefficients in order are
+ – + – –
sign switched
the variation of signs of P(-x) is 3. Hence P(x) has
either 3 negative roots or 1 negative root.
So P(x) may have 1 neg. root + 4 complex roots,
or 1 neg. root + 2 positive roots + 2 complex roots,
or 3 negative roots + 2 complex roots,
or 3 negative roots + 2 positive roots.
32. Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
33. Theorem of Bounds:
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
34. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
35. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
36. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
37. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
then Max{|-2|, |6|, |2|, |1|, |-1|} = 6
38. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
then Max{|-2|, |6|, |2|, |1|, |-1|} = 6 and |an| = 2,
39. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
then Max{|-2|, |6|, |2|, |1|, |-1|} = 6 and |an| = 2,
hence M = 6/2 + 1 = 4 and all the real roots of P(x)
reside in the interval (–4, 4).
40. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
then Max{|-2|, |6|, |2|, |1|, |-1|} = 6 and |an| = 2,
hence M = 6/2 + 1 = 4 and all the real roots of P(x)
reside in the interval (–4, 4).
Note: If an = 1, then M = largest Coefficient + 1.
41. Theorem of Bounds:
Let P(x) = anxn + an-1xn-1+… + a0 be a real polynomial,
the real roots of P(x) must be in the interval (–M, M)
where M =
Looking for Real Roots of Real Polynomials
The Theorem of Bounds gives the interval of real
numbers where the roots must reside.
Max {|an|, |an-1|, |an-2|, ..|a0|}
|an|
+ 1
Example B. For P(x) = -2x5 + 6x3 + 2x2 + x – 1,
then Max{|-2|, |6|, |2|, |1|, |-1|} = 6 and |an| = 2,
hence M = 6/2 + 1 = 4 and all the real roots of P(x)
reside in the interval (–4, 4).
Note: If an = 1, then M = largest Coefficient + 1.
We may use The Theorem of Bounds to find decimal
solutions via a graphing calculator or software.
42. Looking for Real Roots of Real Polynomials
Example C. To find the approximate real roots of
P(x) = -2x5 + 6x3 + 2x2 + x – 1 with a graphing
calculator,
43. Looking for Real Roots of Real Polynomials
Example C. To find the approximate real roots of
P(x) = -2x5 + 6x3 + 2x2 + x – 1 with a graphing
calculator, set the plot range of x to be [–4, 4],
the plot range of y, to be say [20, –20].
44. Looking for Real Roots of Real Polynomials
Example C. To find the approximate real roots of
P(x) = -2x5 + 6x3 + 2x2 + x – 1 with a graphing
calculator, set the plot range of x to be [–4, 4],
the plot range of y, to be say [20, –20].
45. Looking for Real Roots of Real Polynomials
We get three roots.
y = -2x5 + 6x3 + 2x2 + x – 1
Example C. To find the approximate real roots of
P(x) = -2x5 + 6x3 + 2x2 + x – 1 with a graphing
calculator, set the plot range of x to be [–4, 4],
the plot range of y, to be say [20, –20].
46. Looking for Real Roots of Real Polynomials
We get three roots. From the tracer-operation,
their approximate values are x ≈ –1.65, 0.40, and 1.89.
y = -2x5 + 6x3 + 2x2 + x – 1
-1.65 0.40 1.89
Example C. To find the approximate real roots of
P(x) = -2x5 + 6x3 + 2x2 + x – 1 with a graphing
calculator, set the plot range of x to be [–4, 4],
the plot range of y, to be say [20, –20].
47. Looking for Real Roots of Real Polynomials
Polynomials with integer coefficients form an
important class of functions.
48. Looking for Real Roots of Real Polynomials
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
49. Theorem of Rational Roots:
Looking for Real Roots of Real Polynomials
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
50. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
Looking for Real Roots of Real Polynomials
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
51. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
If x = b/a is rational root of P(x),
then b is a factor of B and a is a factor of A.
Looking for Real Roots of Real Polynomials
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
52. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
If x = b/a is rational root of P(x),
then b is a factor of B and a is a factor of A.
Looking for Real Roots of Real Polynomials
Example D.
a. P(x) = 4x + 6
b. P(x) = 6x2 + 7x + 2
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
53. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
If x = b/a is rational root of P(x),
then b is a factor of B and a is a factor of A.
Looking for Real Roots of Real Polynomials
Example D.
a. P(x) = 4x + 6, it's root is x = –3/2.
b. P(x) = 6x2 + 7x + 2
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
3 is a factor of 6 and
2 is a factor of 4.
54. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
If x = b/a is rational root of P(x),
then b is a factor of B and a is a factor of A.
Looking for Real Roots of Real Polynomials
Example D.
a. P(x) = 4x + 6, it's root is x = –3/2.
b. P(x) = 6x2 + 7x + 2 = (3x + 2)(2x + 1)
It's roots are –2/3, and –1/2.
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
3 is a factor of 6 and
2 is a factor of 4.
55. Theorem of Rational Roots:
Let P(x) = Axn + an-1xn-1+… a1x + B be a polynomial
where A, an-1, an-2, ..,a1, B, are all integers.
If x = b/a is rational root of P(x),
then b is a factor of B and a is a factor of A.
Looking for Real Roots of Real Polynomials
Example D.
a. P(x) = 4x + 6, it's root is x = –3/2.
b. P(x) = 6x2 + 7x + 2 = (3x + 2)(2x + 1)
It's roots are –2/3, and –1/2.
The numerators of the roots are 2, 1 and are factors
of 2. The denominators 3 and 2 are factors of 6.
Polynomials with integer coefficients form an
important class of functions. The next theorem gives
all the possible rational roots of such polynomials.
3 is a factor of 6 and
2 is a factor of 4.
56. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
57. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
58. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
59. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
60. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
61. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
b. Factor P(x) into real factors completely.
62. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
b. Factor P(x) into real factors completely.
By trial and error, use synthetic division, we find that
x = 3/2 is a root.
63. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
b. Factor P(x) into real factors completely.
By trial and error, use synthetic division, we find that
x = 3/2 is a root.
2 –11 10 3
3/2
64. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
b. Factor P(x) into real factors completely.
By trial and error, use synthetic division, we find that
x = 3/2 is a root.
2 –11 10 3
3/2
2
65. Looking for Real Roots of Real Polynomials
Example E.
a. Let P(x) = 2x3 – 11x2 + 10x + 3, list all the possible
rational roots of P(x).
The factors of 3 are B = {1, 3}.
The factors of 2 are A = {1, 2}
The possible roots are fractions of the form ±b/a
where b is from the set B and a is from the set A.
They are {± , ± , ± , ± }.
1
1
3
1
1
2
3
2
b. Factor P(x) into real factors completely.
By trial and error, use synthetic division, we find that
x = 3/2 is a root.
2 –11 10 3
3/2
2
3
–8
-12
–2
–3
0
66. Looking for Real Roots of Real Polynomials
Hence
2x3 – 11x2 + 10x + 3
= (x – 3/2)(2x2 – 8x – 2)
2 –11 10 3
3/2
2
3
–8
-12
–2
–3
0
70. Looking for Real Roots of Real Polynomials
Hence
2x3 – 11x2 + 10x + 3
= (x – 3/2)(2x2 – 8x – 2)
= (x – 3/2) 2 (x2 – 4x – 1)
= (2x – 3)(x2 – 4x – 1)
x2 – 4x – 1 is an irreducible quadratic polynomial,
by the quadratic formula x = 2 ± 5.
2 –11 10 3
3/2
2
3
–8
-12
–2
–3
0
71. Looking for Real Roots of Real Polynomials
Hence
2x3 – 11x2 + 10x + 3
= (x – 3/2)(2x2 – 8x – 2)
= (x – 3/2) 2 (x2 – 4x – 1)
= (2x – 3)(x2 – 4x – 1)
x2 – 4x – 1 is an irreducible quadratic polynomial,
by the quadratic formula x = 2 ± 5.
Therefore, P(x) factors completely into real factors:
2x3 – 11x2 + 10x + 3
= (2x – 3)(x – (2 + 5))(x – (2 – 5)).
2 –11 10 3
3/2
2
3
–8
-12
–2
–3
0
72. Exercise A. (Descartes' Rule of Signs)
Determine the possible number of positive roots and negative
roots of the following polynomials.
Looking for Real Roots of Real Polynomials
B. (Theorem on the Bounds) Gives an interval where the
roots of the following polynomials must reside.
1. P(x) = x3 + x2 + x + 1 2. P(x) = x3 + x2 + x – 1
3. P(x) = x3 + x2 – x + 1 4. P(x) = x3 + x2 – x – 1
5. P(x) = x3 – x2 – x + 1 6. P(x) = x3 – x2 – x – 1
7. What can we say about the roots of a polynomial with
only all positive even or all negative even degrees of x’s?
8. What can we conclude about the roots of a polynomial
with only odd degrees of x’s?
1. P(x) = x5 + 6x3 + 2x2 – 1 2. P(x) = x4 + 0.01x3 + 0.23x2 – 1/π
3. By the sign-rule, there is at least one positive real root for
P(x) = x4 – 12x3 + 6.8x2 – √101. Graph P(x) using a calculator
over a chosen interval to see if there are more roots.
73. Looking for Real Roots of Real Polynomials
C. (Rational Roots and Factoring Polynomials)
List all the possible rational roots of the following polynomials.
Then find all the rational and irrational roots (all roots are real),
and factor each completely.
1. P(x) = x3 – 2x2 – 5x + 6 2. P(x) = x3 – 3x2 –10x + 6
3. P(x) = 2x3 + 3x2 – 11x – 6 4. P(x) = 3x3 – 4x2 –13x – 6
5. P(x) = –6x3 –13x2 – 4x + 3
6. P(x) = 12x4 – 8x3 – 21x2 + 5x + 6
7. P(x) = 3x4 – x3 – 24x2 – 16x + 8
8. P 𝑥 = 6𝑥4 + 5𝑥3 − 24𝑥2 − 12𝑥 + 16
74. (Answers to the odd problems) Exercise A.
Exercise B.
1. 𝑃(𝑥) has no positive roots and 3 or 1 negative roots.
3. 𝑃(𝑥) has 2 or 0 positive roots and 1 negative root.
5. 𝑃(𝑥) has 2 or 0 positive roots and 1 negative root.
7. It has 0 positive roots and 0 negative roots.
1. 𝑀 =
max{ 1 , 6 , 2 , −1 }
|1|
+ 1 = 7, so the roots reside in (-7,7)
3. 𝑃 𝑥 = 𝑥4– 12𝑥3 + 6.8𝑥2 − 101
The roots are in (-13,13)
Looking for Real Roots of Real Polynomials
75. Exercise C.
1. The possible roots are {±6, ±3, ±2, ±1}
𝑃(𝑥) = (𝑥 − 3)(𝑥 − 1)(𝑥 + 2)
3. The possible roots are {±1, ±
1
2
, ±2, ±3, ±6, ±
3
2
}
𝑃(𝑥) = (𝑥 + 3)(2𝑥 + 1)(𝑥 − 2)
5. The possible roots are {±1, ±
1
2
, ±
1
3
, ±
1
6
, ±3, ±
3
2
}
𝑃 𝑥 = − 2𝑥 + 3 (3𝑥 − 1)(1 + 𝑥)
7. The possible roots are {±1, ±
1
3
, ±2, ±
2
3
, ±4, ±
4
3
, ±8, ±
8
3
}
𝑃 𝑥 = 3𝑥 − 1 𝑥 + 2 (𝑥 + 5 − 1)(𝑥 − 5 − 1)
Looking for Real Roots of Real Polynomials