4.5: Linear Approximations, Differentials and Newton’s Method

4.5: Linear Approximations, Differentials and Newton’s Method

We call the equation of the tangent the linearization of the function. For any function f (x), the tangent is a close approximation of the function for some small distance from the tangent point.

is the standard linear approximation of f at a. Start with the point/slope equation: linearization of f at a The linearization is the equation of the tangent line, and you can use the old formulas if you like.

Linearization Example Find the linear approximation of f(x) = x2 at x = 1. Use the approximation to 1.12.

Linearization Example Use linearization to approximate

Approximating Binomial Powers Approximating Binomial Powers: this is a special case of a general linearization formula that applies to the powers of 1+x for small values of x: Approximating Binomial Powers

Approximating Binomial Powers Use this formula to find polynomials that will approximate the following functions for values of x close to zero:

Important linearizations for x near zero: This formula also leads to non-linear approximations:

Differentials: When we first started to talk about derivatives, we said that becomes when the change in x and change in y become very small. dy can be considered a very small change in y. dx can be considered a very small change in x.

Let be a differentiable function. The differential is an independent variable. The differential is:

Example: Consider a circle of radius 10. If the radius increases by 0.1, approximately how much will the area change? very small change in r very small change in A (approximate change in area)

(approximate change in area) Compare to actual change: New area: Old area:

Newton’s Method Newton’s Method: numerical method of approximating the zeros of a function.

Newton’s Method Finding a root for: We will use Newton’s Method to find the root between 2 and 3.

Guess: (not drawn to scale) (new guess)

Guess: (new guess)

Guess: Amazingly close to zero! This is Newton’s Method of finding roots. It is an example of an algorithm (a specific set of computational steps.) It is sometimes called the Newton-Raphson method This is a recursive algorithm because a set of steps are repeated with the previous answer put in the next repetition. Each repetition is called an iteration.

Newton’s Method: Guess: Amazingly close to zero! This is Newton’s Method of finding roots. It is an example of an algorithm (a specific set of computational steps.) It is sometimes called the Newton-Raphson method This is a recursive algorithm because a set of steps are repeated with the previous answer put in the next repetition. Each repetition is called an iteration.

Find where crosses .

There are some limitations to Newton’s method: Looking for this root. Bad guess. Wrong root found Failure to converge

Newton’s method is built in to the Calculus Tools application on the TI-89. Of course if you have a TI-89, you could just use the root finder to answer the problem. The only reason to use the calculator for Newton’s Method is to help your understanding or to check your work. It would not be allowed in a college course, on the AP exam or on one of my tests.

Approximate the positive root of: APPS ENTER ENTER APPS Select and press . Calculus Tools If you see this screen, press , change the mode settings as necessary, and press again. Now let’s do one on the TI-89:

F2 APPS ENTER ENTER Press (Newton’s Method) 3 Press . Now let’s do one on the TI-89: Approximate the positive root of: Select and press . Calculus Tools Press (Deriv) Enter the equation. (You will have to unlock the alpha mode.) Set the initial guess to 1. Set the iterations to 3.

ENTER Press to see each iteration. Press to see the summary screen. ESC

Press and then to return your calculator to normal. ESC HOME p

4.5: Linear Approximations, Differentials and Newton’s Method