1 / 100

College Algebra Fifth Edition James Stewart  Lothar Redlin  Saleem Watson

College Algebra Fifth Edition James Stewart  Lothar Redlin  Saleem Watson. Polynomial and Rational Functions. 4. Polynomial Functions and Their Graphs. 4.2. Introduction. Before we work with polynomial functions, we must agree on some terminology. Polynomial Function.

gage-bauer
Download Presentation

College Algebra Fifth Edition James Stewart  Lothar Redlin  Saleem Watson

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. College Algebra Fifth Edition James StewartLothar RedlinSaleem Watson

  2. Polynomial and Rational Functions 4

  3. Polynomial Functionsand Their Graphs 4.2

  4. Introduction • Before we work with polynomial functions, we must agree on some terminology.

  5. Polynomial Function • A polynomial function of degree nis a function of the form P(x) = anxn + an-1xn – 1 + … + a1x + a0where: • n is a nonnegative integer. • an≠ 0.

  6. Coefficients • The numbers a0, a1, a2, …, anare called the coefficientsof the polynomial. • The number a0 is the constant coefficientor constant term. • The number an, the coefficient of the highest power, is the leading coefficient. • The term anxnis the leading term.

  7. Polynomials • We often refer to polynomial functions simply as polynomials. • The following polynomial has degree 5, leading coefficient 3, and constant term –6. 3x5 + 6x4 – 2x3 + x2 + 7x – 6

  8. Polynomials • Here are some more examples of polynomials.

  9. Monomials • If a polynomial consists of just a single term, then it is called a monomial. • For example: P(x) = x3Q(x) = –6x5

  10. Graphs of Polynomials

  11. Graphs of Polynomials • The graphs of polynomials of degree 0 or 1 are lines (Section 2.4). • The graphs of polynomials of degree 2 are parabolas (Section 4.1). • The greater the degree of the polynomial, the more complicated its graph can be.

  12. Graphs of Polynomials • However, the graph of a polynomial function is always a smooth curve—it has no breaks or corners. • The proof of this fact requires calculus.

  13. Graphs of Monomials • The simplest polynomial functions are the monomials P(x) = xn,whosegraphs are shown.

  14. Graphs of Monomials • As the figure suggests, the graph of P(x) = xn has the same general shape as: • y = x2, when n is even. • y = x3, when n is odd.

  15. Graphs of Monomials • However, as the degree n becomes larger, the graphs become flatter around the origin and steeper elsewhere.

  16. E.g. 1—Transformation of Monomials • Sketch the graphs of the following functions. • P(x) = –x3 • Q(x) = (x – 2)4 • R(x) = –2x5 + 4 • We use the graphs in Figure 2 and transform them using the techniques of Section 3.5.

  17. Example (a) E.g. 1—Transforming Monomials • The graph of P(x) = –x3 is the reflection of the graph of y = x3 in the x-axis.

  18. Example (b) E.g. 1—Transforming Monomials • The graph of Q(x) = (x – 2)4 is the graph of y = x4 shifted to the right 2 units.

  19. Example (c) E.g. 1—Transforming Monomials • We begin with the graph of y = x5. • The graph of y = –2x5is obtained by: • Stretching the graph vertically and reflecting it in the x-axis.

  20. Example (c) E.g. 1—Transforming Monomials • Thus, the graph of y = –2x5 is the dashed blue graph here. • Finally, the graph of R(x) = –2x5 + 4 is obtained by shifting upward 4 units. • It’s the red graph.

  21. End Behavior and the Leading Term

  22. End Behavior • The end behaviorof a polynomial is: • A description of what happens as x becomes large in the positive or negative direction.

  23. End Behavior • To describe end behavior, we use the following notation: • x→ ∞ means “x becomes large in the positive direction” • x→ –∞ means “x becomes large in the negative direction”

  24. End Behavior • For example, the monomial y = x2in the figure has the following end behavior: • y→ ∞ as x → ∞ • y→ ∞ as x → –∞

  25. End Behavior • The monomial y = x3 in the figure has the end behavior: • y→ ∞ as x → ∞ • y→ –∞ as x → –∞

  26. End Behavior • For any polynomial, the end behavior is determined by the term that contains the highest power of x. • Thisisbecause, when x is large, the other terms are relatively insignificant in size.

  27. End Behavior • Next, we show the four possible types of end behavior, based on: • The highest power. • The sign of its coefficient.

  28. End Behavior • The end behavior of the polynomial P(x) = anxn + an –1xn –1 + … + a1x + a0is determined by: • The degree n. • The sign of the leading coefficient an. • This is indicated in the following graphs.

  29. End Behavior • P has odd degree:

  30. End Behavior • P has even degree:

  31. E.g. 2—End Behavior of a Polynomial • Determine the end behavior of the polynomialP(x) = –2x4 + 5x3 + 4x – 7 • The polynomial P has degree 4 and leading coefficient –2. • Thus, P has evendegree and negativeleading coefficient.

  32. E.g. 2—End Behavior of a Polynomial • So, it has the following end behavior: • y→ –∞ as x → ∞ • y→ –∞ as x → –∞

  33. E.g. 3—End Behavior of a Polynomial • Determine the end behavior of the polynomial P(x) = 3x5 – 5x3 + 2x. • Confirm that P and its leading term Q(x) = 3x5 have the same end behavior by graphing them together.

  34. Example (a) E.g. 3—End Behavior • Since P has odd degree and positive leading coefficient, it has the following end behavior: • y→ ∞ as x → ∞ • y→ –∞ as x → –∞

  35. Example (b) E.g. 3—End Behavior • The figure shows the graphs of P and Q in progressively larger viewing rectangles.

  36. Example (b) E.g. 3—End Behavior • The larger the viewing rectangle, the more the graphs look alike. • This confirms that they have the same end behavior.

  37. End Behavior • To see algebraically why P and Q in Example 3 have the same end behavior, factor P as follows and compare with Q.

  38. End Behavior • When x is large, the terms 5/3x2 and 2/3x4are close to 0. • So, for large x, we have: P(x) ≈ 3x5(1 – 0 – 0) = 3x5 = Q(x) • Thus, when x is large, P and Q have approximately the same values.

  39. End Behavior • We can also see this numerically by making a table as shown.

  40. End Behavior • By the same reasoning, we can show that: • The end behavior of anypolynomial is determined by its leading term.

  41. Using Zeros to Graph Polynomials

  42. Zeros of Polynomials • If P is a polynomial function, then c is called a zeroof P if P(c) = 0. • In other words, the zeros of P are the solutions of the polynomial equation P(x) = 0.

  43. Zeros of Polynomials • Note that, if P(c) = 0, the graph of P has an x-intercept at x =c. • So, the x-intercepts of the graph are the zeros of the function.

  44. Real Zeros of Polynomials • If P is a polynomial and c is a real number, the following are equivalent. • c is a zero of P. • x =c is a solution of the equation P(x) = 0. • x –c is a factor of P(x). • x =c is an x-intercept of the graph of P.

  45. Zeros of Polynomials • To find the zeros of a polynomial P, we factor and then use the Zero-Product Property. • For example, to find the zeros of P(x) = x2 + x – 6, we factor P to get: P(x) = (x – 2)(x + 3)

  46. Zeros of Polynomials • From this factored form, we easily see that: 1.2 is a zero of P. 2.x = 2 is a solution of the equation x2 + x – 6 = 0. 3.x – 2 is a factor of x2 + x – 6 = 0. 4.x = 2 is an x-intercept of the graph of P. • The same facts are true for the other zero, –3.

  47. Zeros of Polynomials • The following theorem has many important consequences. • Here, we use it to help us graph polynomial functions.

  48. Intermediate Value Theorem for Polynomials • If P is a polynomial function and P(a) and P(b) have opposite signs, then there exists at least one value c between a and b for which P(c) = 0.

  49. Intermediate Value Theorem for Polynomials • We will not prove the theorem. • However, the figure shows why it is intuitively plausible.

  50. Intermediate Value Theorem for Polynomials • One important consequence of the theorem is that, between any two successive zeros, the values of a polynomial are either all positive or all negative. • That is, between two successive zeros, the graph of a polynomial lies entirely above or entirely belowthe x-axis.

More Related