College Math Teaching

April 28, 2023

Taylor Polynomials without series (advantages, drawbacks)

Filed under: calculus, series, Taylor polynomial., Taylor Series — oldgote @ 12:32 am

I was in a weird situation this semester in my “applied calculus” (aka “business calculus”) class. I had an awkward amount of time left (1 week) and I still wanted to do something with Taylor polynomials, but I had nowhere near enough time to cover infinite series and power series.

So, I just went ahead and introduced it “user’s manual” style, knowing that I could justify this, if I had to (and no, I didn’t), even without series. BUT there are some drawbacks too.

Let’s see how this goes. We’ll work with series centered at c =0 (expand about 0) and assume that f has as many continuous derivatives as desired on an interval connecting 0 to x .

Now we calculate: \int^x_0 f'(t) dt = f(x) -f(0) , of course. But we could do the integral another way: let’s use parts and say u = f'(t), dv = dt \rightarrow du = f''(t), v = (t-x) . Note the choice for v and that x is a constant in the integral. We then get f(x) -f(0)=\int^x_0 f'(t) dt = (f'(t)(t-x)|^x_0 -\int^x_0f''(t)(t-x) dx . Evaluation:

f(x) =f(0)+f'(0)x -\int^x_0f''(t)(t-x) dx and we’ve completed the first step.

Though we *could* do the inductive step now, it is useful to grind through a second iteration to see the pattern.

We take our expression and compute \int^x_0f''(t)(t-x) dx  by parts again, with u = f''(t), dv =t-x \rightarrow du =f'''(t), v = {(t-x)^2 \over 2!} and insert into our previous expression:

f(x) =f(0)+f'(0)x - (f''(t){(t-x)^2 \over 2!}|^x_0 + \int^x_0 f'''(t){(t-x)^2 \over 2!} dt which works out to:

f(x) = f(0)+f'(0)x +f''(0){x^2 \over 2} + \int^x_0 f'''(t){(t-x)^2 \over 2!} dt and note the alternating sign of the integral.

Now to use induction: assume that:

f(x) = f(0)+f'(0)x +f''(0){x^2 \over 2} + ....f^{(k)}(0){x^k \over k!} + (-1)^k \int^x_0 f^{(k+1)}(t) {(t-x)^k \over k!} dt

Now let’s look at the integral: as usual, use parts as before and we obtain:

(-1)^k (f^{(k+2)}(t) {(t-x)^{k+1} \over (k+1)!}|^x_0 - \int^x_0 f^{(k+2)}(t) {(t-x)^{k+1} \over (k+1)!} dt ). Taking some care with the signs we end up with

(-1)^k (-f^{(k+1)}(0){(-x)^{k+1} \over (k+1)! } )+ (-1)^{k+1}\int^x_0 f^{(k+2)}(t) {(t-x)^{k+1} \over (k+1)!} dt which works out to (-1)^{2k+2} (f^{(k+1)}(0) {x^{k+1} \over (k+1)!} )+ (-1)^{k+1}\int^x_0 f^{(k+2)}(t) {(t-x)^{k+1} \over (k+1)!} dt .

Substituting this evaluation into our inductive step equation gives the desired result.

And note: NOTHING was a assumed except for f having the required number of continuous derivatives!

BUT…yes, there is a catch. The integral is often regarded as a “correction term.” But the Taylor polynomial is really only useful so long as the integral can be made small. And that is the issue with this approach: there are times when the integral cannot be made small; it is possible that x can be far enough out that the associated power series does NOT converge on (-x, x) and the integral picks that up, but it may well be hidden, or at least non-obvious.

And that is why, in my opinion, it is better to do series first.

Let’s show an example.

Consider f(x) = {1 \over 1+x } . We know from work with the geometric series that its series expansion is 1 -x +x^2-x^3....+(-1)^k x^k + .... and that the interval of convergence is (-1,1) But note that f is smooth over [0, \infty) and so our Taylor polynomial, with integral correction, should work for x > 0 .

So, nothing that f^{(k)} = (-1)^k(k!)(1+x)^{-(k+1)} our k-th Taylor polynomial relation is:

f(x) =1-x+x^2-x^3 .....+(-1)^kx^k +(-1)^k \int^x_0 (-1)^{k+1}(k+1)!{1 \over (1+t)^{k+2} } {(t-x)^k \over k!} dt

Let’s focus on the integral; the “remainder”, if you will.

Rewrite it as: (-1)^{2k+1} (k+1) \int^x_0 ({(t -x) \over (t+1) })^k {1 \over (t+1)} dt .

Now this integral really isn’t that hard to do, if we use an algebraic trick:

Rewrite ({(t -x) \over (t+1) })^k  = ({(t+1 -x-1) \over (t+1) })^k = (1-{(x+1) \over (t+1) })^k

Now the integral is a simple substitutions integral: let u = 1-{(x+1) \over (t+1) } \rightarrow du = (x+1)( {1 \over (t+1)})^2 dt so our integral is transformed into:

(-1) ({k+1 \over x+1}) \int^0_{-x} u^{k} du = (-1) {k  \over (k+1)(x+1)} (-(-x)^{k+1}) = (-1)^{k+1} {k+1 \over (k+1)(x+1)} x^{k+1} =(-1)^{k+1}{1 \over (x+1)}x^{k+1}

This remainder cannot be made small if x \geq 1 no matter how big we make k

But, in all honesty, this remainder could have been computed with simple algebra.

{1 \over x+1} =1-x+x^2....+(-1)^k x^k + R and now solve for R algebraically .

The larger point is that the “error” is hidden in the integral remainder term, and this can be tough to see in the case where the associated Taylor series has a finite radius of convergence but is continuous on the whole real line, or a half line.

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