characteristics

For analytic purposes, we would prefer a product

\[ p(x) = a (x-r_n)(x-r_{n-1}) \cdots (x-r_2)(x-r_1) \]
  • \(a\) is called the leading coefficient.
  • \((x-r_k)\) are called factors.
  • \(r_k\) are called the zeros or roots.

Polynomials are the most familiar feeling functions we have. They look like bigger linear or quadratic functions

The graph of \(y = f(x) = \frac {1}{100} x^3 + \frac {1}{25} x^2 - \frac {31}{100} x - \frac {7}{10}\)

All of their characteristics and features are nice.

  • Their domains include all real numbers.
  • They are continuous everywhere.
  • No discontinuities or singularities.
  • No asymptotes on the graph.
  • Their graphs are smooth - no corners or endpoints

Polynomials smoothly alternate between increasing and decreasing, which switch at global and local maximums and minimums.

As you will see later, polynomials have a limit on the number of zeros and extrema they can have. They cannot have more than the degree of the polynomial. So, what happens outside all of the wiggling? This is known as the end-behavior. All polynomials continue without bound after the zeros and extrema. Either they tend to infinity or negative infinity.

Factored Form

\(p(x) = a (x-r_n)(x-r_{n-1}) \cdots (x-r_2)(x-r_1)\) is the factored form of a polynomial.

In an effort to be clearer, we clean up the roots, because there could be repeated roots and we would like to point this out. Therefore the standard factored form looks like

\[ p(x) = a (x-r_n)^{e_n} (x-r_{n-1})^{e_{n-1}} \cdots (x-r_2)^{e_2} (x-r_1)^{e_1} \]

In this version, the \(r_k\) are distinct roots. They are all different.
The \(e_k\) are the exponents and tell us how many times a particular root repeats. The exponents are referred to as the factor’s or the root’s multiplicity.

As we noted with quadratics, this factorization into linear factors often requires complex numbers, which we are leaving for the next course. We are only using real numbers now. Therefore, our factorizations will include linear factors as well as irreducible quadratic factors (nonreal roots).

\(\blacktriangleright \) Therefore, our discussion on polynomial roots, will center around the linear factors. Irreducible quadratics will have to stay that way until the next course.

Running the Number Line

If we think of the real numbers as lining up to form the number line, then we could imagine ourselves running over the number line from \(-\infty \) to \(\infty \), or from left to right. We would hit every real number once.

For a polynomial, we would run through each distinct root once. As we ran from the left side to the right side of each root, the sign of the value of the polynomial with either change or stay the same.

At each root, \(r_k\), the value of the polynomial is \(0\). But on either side of the root, the polynomial is either positive or negative. There are four possible combinations.

\[ \begin{array}{rcl} \text {Left of Root} & \text {Root} & \text {Right of Root} \\ positive & 0 & positive \\ negative & 0 & negative \\ positive & 0 & negative \\ negative & 0 & positive \end{array} \]

Either the sign switches or it stays the same across the root. What in the formula dictates this?

\[ f(x) = a (x-r_n)^{e_n} (x-r_{n-1})^{e_{n-1}} \cdots (x-r_2)^{e_2} (x-r_1)^{e_1} \]

If we imagine ourselves running through \(r_k\) in the domain, then \((x-r_k)^{e_k}\) is the only factor that could possibly change sign. All of the other factors maintain their same sign when \(x\) runs through \(r_k\).

Let’s examine the factor \((x-r_k)^{e_k}\):

As \(x\) runs from less than \(r_k\) to greater than \(r_k\), the base of this factor changes from negative to positive:

  • when \(x<r_k\), then \(x-r_k <0\).
  • when \(x>r_k\), then \(x-r_k >0\).

If the exponent, \(e_k\), is even, then the sign of \(x-r_k\) doesn’t matter. The sign of the whole factor \((x-r_k)^{e_k}\) will be positve regardless of the sign of the base.

However, if \(e_k\) is odd then the sign of the base does matter, because, unlike an even power, a negative number raise to an odd power will remain negative.

  • If \(e_k\) is odd, then \((x-r_k)^{e_k}\) will change sign.
  • If \(e_k\) is even, then \((x-r_k)^{e_k}\) will not change sign.
  • If \(r_k\) is a root of odd multiplicty, then \((x-r_k)^{e_k}\) will change sign as \(x\) runs through \(r_k\) in the domain.
  • If \(e_k\) is a root of even multiplicty, then \((x-r_k)^{e_k}\) will not change sign as \(x\) runs through \(r_k\) in the domain.

All of this should agree with the graph of the polynomial.

Graphically

Graphically, the values of the function are measured vertically. Zeroes are represented as dots positioned on the horizontal axis. The graph either flows from one side of the horizontal axis to the other side as the function changes sign or the graph rebounds from the intercept and stays on the same side of the horizontal axis. The multiplicity of the root tells us which.

Extrema

Unless we have a quadratic polynomial, the best we can do for the maximums and minimums, at this point, is estimate them.

Extending our analysis of quadratic functions, the global and local extreme values of a function occur at numbers in the domain where the corresponding points on the graph have horizontal tangent lines. We call these domain numbers critical numbers. Thus, critical numbers play an important role in function analysis.

It will take some further analysis to get a full definition of critical numbers. We’ll start with critical numbers pointing out horizontal tangent lines in the graph and improve from there.

Critical numbers are domain numbers marking flat/horizontal places in the graph. These include tops of hills and bottoms of valleys. Critical numbers include places where extreme values occur.

The next example shows that they also include places that are not marking maximums or minimums.

Rate of Change

Polynomials are nice. They increase and decrease on intervals defined by critical numbers marking places where the graph is horizontal and possible maximums and minimums.

Note: \(-2\) is a critical number, because the graph is flat there. However, the sign of the rate of change of \(f\) does not switch there, since \(f\) does not have an extreme value there.

Zeros, Factors, and Intercepts

Polynomial functions are nice. They allow us to see many connections that we will keep in mind as we investigate other types of functions.

\(\blacktriangleright \) Zeros, Factors, and Intercepts are different things but they all refer to the same idea.

  • If \(z_0\) is a zero of the polynomial \(p(x)\), means \(p(z_0)=0\).
  • If \((x-z_0)\) is a factor of the polynomial \(p(x)\), means \(p(x) = q(x) \cdot (x-z_0)\) for some polynomial \(q(x)\).
  • If \((z_0,0)\) is an intercept of the graph of the polynomial \(p(x)\), means \((z_0,0)\) is both on the horizontal axis and on the graph of \(p\).

However, the existence of any of these implies the other two

  • If \(z_0\) is a zero of the polynomial \(p(x)\), then \((x-z_0)\) is a factor and \((z_0,0)\) is on the graph.
  • If \((x-z_0)\) is a factor of the polynomial \(p(x)\), then \(p(z_0)=0\) and \((z_0,0)\) is on the graph.
  • If \((z_0,0)\) is an intercept of the graph of the polynomial \(p(x)\), then \(p(z_0)=0\) and \((x-z_0)\) is a factor.

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more examples can be found by following this link
More Examples of Analysis

2025-01-07 01:58:04