sums of power functions

In the world of functions, polynomials play a similar role as the integers play in the real numbers. And, if we’ll confine our discuss to only continuous functions on closed intervals, then polynomials are more like the rational numbers - you can find a polynomial as close as you want to any continuous function.

In other words, no matter what small distance you think up...

  • Given any real number, there is a rational number within that small distance of the real number.
  • Given any continuous function on a closed interval, there is a polynomial within that “small distance” of the continuous function.

This makes polynomials extremely useful and thus very interesting.

Polynomials are sums of special functions called power functions, so let’s begin with power functions.

Power Functions

We don’t need all of the power functions for polynomials. We only need power functions with whole number exponents. But let’s just get a fuller picture by examining power functions with integer exponents. We’ll start with the global scale.

Asymptotic and End-Behavior

When the power, , is a positive integer, then power functions have two types of end-behavior.

  • When is even, the end-behavior is the same to the right or left.

    Correspondingly, both sides of the graph go up or down, depending on the sign of the coefficient, .

  • When is odd, the end-behavior is opposite on either side.

    Correspondingly, the two sides of the graph go up and down in opposite directions, depending on the sign of the coefficient, .

When the power, , is a negative integer, then we have two types of unbounded behavior around the singularity at .

(a)
When is even, the behavior around the singularity is the same. Depending on the sign of the coeficient, , the function is unbounded positively or negatively as you get closer to .

Correspondingly, both sides of the graph go up or down together, depending on the sign of the coefficient, .

(b)
When is odd, the behavior around the singularity is opposite. The function is unbounded positively one one side of and unbounded negatively on the other side of .

Correspondingly, one side of the graph goes up and one side down, depending on the sign of the coeficient, .

In either case, the end-behavior is to tend toward .

Limit Notation

In the previous descriptions, our graphs did a good job of describing limiting behavior. We would also like algebraic descriptions of this behavior.

End-Behavior

The domain of a power function is either all the real numbers, , or all of the real numbers except , . In either case we can imagine moving far off to the left or far off to the right on the number line to where the domain is made up of very large negative or very large positive numbers. When we want the reader to think of moving even further to the right we use the phrase “tending to infinity”. When we want the reader to think of moving even further to the left we use the phrase “tending to negative infinity”.

For power functions with a negative power, the function values become smaller and smaller as the domain tends to positive or negative infinity.

The mathematical word for this “tending” relationship is limit.

If we inspect a power function, , with a negative power, then we see that as tends to positive infinity, the value of tends to . The algebraic way of writing this looks like

Pronounced: The limit of as x tends towards infinity equals zero.

We also have,

Pronounced: The limit of as x tends towards negative infinity equals zero.

For power functions with a positive power, we have limits such as

It depends on the sign of the coefficient .

Singularity

For a power function, , with a negative power we have seen that there is a singularity at , where the function value is unbounded and tends to infinity or negative infinity. This time we want to algebraically specify the direction we are approaching .

  • A superscript means we are approaching from the positive side or the right side.
  • A superscript means we are approaching from the negative side or the left side.

Describing the function’s behavior around with limit notation looks like

Pronounced: The limit of as x tends towards zero from the left (or right) equals negative infinity.

It depends on the sign of coefficient .

Polynomial Functions

Polynomial functions are sums of power functions with powers that are nonnegative integers (whole numbers).

We almost never see polynomials written out fully like this. Usually, we see shorthand notation.

Polynomial Shorthand Notation

Let’s see some shorthand notation through an example. We’ll begin with this polynomial

The following shorthand notation is totally voluntary. You are more than welcome to write this polynomial as it is written above in its proper form. However, people you work with may use the shorthand notation, so you should be familiar with it.

  • If the leading coefficient is a , then people usually do not write it. If the leading coefficient is a , then people usually just write the negative sign, .

  • If a coefficient is a negative number, then people usually change the notation to subtraction.

  • If a coefficient is a , then people usually do not write the .

  • If a coefficient is , then people just remove the whole term.

  • People don’t write the exponent .

  • People don’t write .

The last version is much shorter than the original, but they represent the exact same polynomial. You are free to use any or all of the abbreviations.

Write in shorthand notation.

Write in shorthand notation.

Products vs. Sums

We engage in two very different investigations involving polynomials. One is an algebraic investigation and the other is our investigation - an analytic investigation. Polynomials are functions for us and we are interested in analyzing them as functions. This means, among other features, we are interested in their zeros. For this, and other reasons, we prefer to write polynomials in factored form.

Rather than a sum (standard form)

we would prefer a product

Unfortunately, we will need complex numbers to ALWAYS get a product of linear factors. We only have the real numbers for this class and the best we can do is a mixture of linear and quadratic factors.

Irreducible quadratics means they need complex numbers to factor - the discriminant of the quadratic formula is negative.

The theorem says that every polynomial does have such a factorization, but it does not tells us how to obtain it. We are on our own for that, which means we need lots of practice factoring polynomials.

When analyzing polynomial functions, our first step is going to be to factor it.

Write in factored form, i.e. as a product.

Graphs

Polynomial functions are continuous everywhere (all real numbers). Their graphs are smooth wavy curves with hills and valleys.

Polynomials have no discontinuities or singularities. Polynomial functions may have many local maximums and minimums. They may have a global maximum or global minimum, but not both.

In the example above, has a global minimum value.

True False

In the example above, has a global maximum value.

True False

End-Behavior

The end-behavior of a polynomial function is the same as the leading term (a power function), which depends on the sign of the leading coefficient.

Evaluate

Evaluate

Power-Like Functions

We prefer writing polynomials as products, because we can quickly identify their zeros. Products will also help us quickly determine behavior of the polynomial.

Inside the factorization

we may have duplicate factors.

To help our analysis, it will help to gather common factors and make the factorization look like

with all of the roots distinct, i.e. when .

Analyzing polynomials will mean analyzing expressions like , which looks a lot like a power function - a shifted power function.

Everything we said about power functions around holds for these shift power functions around .

If we think of as , then seems just like a power function, just written in terms of .

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