Taylor's Theorem
Suppose we're working with a function f that has derivatives up to the n-th order
on an interval about 0.
We can
approximate f(x) near x=0 by a polynomial Pn(x) of degree n:
-
For n = 0, the best constant approximation near 0 is
which matches f at 0.
-
For n = 1, the best linear approximation near 0 is
Note that P1 matches f at 0 and
P1 ′ matches
f ′ at 0.
-
For n = 2, the best quadratic approximation near 0 is
P2(x) = f(0)+f ′(0)x+ |
f ′ ′(0) 2!
|
x2. |
Note that P2, P2 ′,
and P2 ′ ′
match f, f ′, and
f ′ ′, respectively, at 0.
Continuing this process,
Pn(x) = f(0)+f ′(0)x+ |
f ′ ′(0) 2!
|
x2+
+ |
f(n)(0) n!
|
xn. |
This is the Taylor polynomial of degree n about 0. More generally, if f has n
derivatives at x = a, the Taylor polynomial of degree n about
a is
n
Σ k = 0
|
f(k)(a) k!
|
(x-a)k =
f(a) + f ′(a)(x-a) + |
f ′ ′(a) 2!
|
(x-a)2 +
+ |
f(n)(a) n!
|
(x-a)n. |
The Taylor polynomial of degree n about 0 is also called the
Maclaurin polynomial of degree n.
The Taylor polynomial approximates f(x) near a.
Abbiamo che
• se p(x) è il polinomio di Taylor di ordine n di f(x):
f(x) = p(x) + R(x) con R(x) = o((x-a)n)
ossia quanto "resta" da aggiungere a p(x) per ottenere f(x) è, per x → a, un infinitesimo
di ordine superiore rispetto a (x-a)n
e che
• se esiste f(n+1)(a), R(x) = O((x-a)n+1)
ossia quanto "resta" da aggiungere a p(x) per ottenere f(x) è, per x → a, un infinitesimo
dello stesso ordine o di ordine superiore rispetto a (x-a)n+1
[clicca qui per approfondimenti]
Taylor's Theorem gives
bounds for the error in this approximation.
Taylor's Theorem
Suppose f has n+1 derivatives on an open interval
containing a. Then for each x in the interval,
f(x) = |
|
n
Σ k = 0
|
f(k)(a) k!
|
(x-a)k |
|
+Rn+1(x) |
where the error term Rn+1(x) satisfies
Rn+1(x) =
(f(n+1)(c) / (n+1)!) (x-a)n+1
for some c strictly between a and x.
[basta che f(n) sia continua e che f(n+1) esista tra c ed x, non anche in c e in x]
This form for the error Rn+1(x), derived in 1797 by Joseph
Lagrange, is called the Lagrange formula for the remainder. The
infinite Taylor series converges pointwise [puntualmente, punto per punto] to f,
f(x) = |
∞
Σ k = 0
|
f(k)(a) k!
|
(x-a)k, |
in I ∋ a if and only if for all x in I
limn→∞
Rn(x) = 0.
Nota. La serie di Taylor è stata illustrata da Taylor in un suo libro del 1715, ma era
già stata introdotta qualche anno prima. La serie di MacLaurin fu invece studiata da Taylor.
MacLaurin ottene invece risultati significativi in ambito geometrico.
Examples of Taylor Series about 0
-
For f(x) = ex,
f(k)(x) =
ex =>
f(k)(0) = 1. |
So
which converges for all x since
lim n→∞ |
Rn(x)
|
=
|
lim n→∞ |
ecx(n+1) / (n+1)! = 0
|
for all c between 0 and x.
-
For f(x) = ln(1+x),
So
which converges only for -1 < x
≤ 1.
-
For f(x) = sin(x),
f '(x) = cos(x),
f "(x) = −sin(x),
f(3)(x) = −cos(x),
f(4)(x) = sin(x), ... so:
sin(x) = x − x3/3! + x5/5! − x7/7! + ...
=
∑ k = 0...∞ (−1)k x2k+1 / (2k+1)!
and for f(x) = cos(x),
f '(x) = −sin(x),
f "(x) = −cos(x),
f(3)(x) = sin(x),
f(4)(x) = cos(x), ... so:
cos(x) = 1 − x2/2! + x4/4! − x6/6! + ...
=
∑ k = 0...∞ (−1)k x2k / (2k)!
which converge for all x.
The Taylor Series in (x-a) is the unique power series in
(x-a) converging to f(x) on an interval containing a. For this
reason,
In the Exploration, compare the graphs of various functions with their
first Taylor polynomials about x = 0.