The Maclaurin series is a special case of Taylor series expansion centered at zero. To find the Maclaurin series for the function f(x) = cos(x^2)
, we can start by recalling the Maclaurin series for cosine, which is:
cos(x) = ∑ (-1)^n * (x^(2n) / (2n)!)
For the function f(x) = cos(x^2)
, we substitute x^2
into the series. This gives us:
f(x) = cos(x^2) = ∑ (-1)^n * ((x^2)^(2n) / (2n)!)
Now, we can simplify it:
f(x) = ∑ (-1)^n * (x^(4n) / (2n)!)
This series converges for all x
. Next, we can use this series to compute f(40)
by substituting x = 40
into the series:
f(40) = ∑ (-1)^n * (40^(4n) / (2n)!)
However, computing this directly for large values of n
is impractical due to the rapid growth of the terms. Instead, it’s useful to calculate a few initial terms to see how they behave:
- When n = 0:
(-1)^0 * (40^0 / 0!) = 1
- When n = 1:
(-1)^1 * (40^4 / 2!) = -rac{40^4}{2} = -1280000
- When n = 2:
(-1)^2 * (40^8 / 4!) = rac{40^8}{24} = 80000000000
- When n = 3:
(-1)^3 * (40^{12} / 6!) = -rac{40^{12}}{720} ext{ (very large and negative)}
The series alternates signs and the terms grow very large. Each term is significant, and the series may converge slowly, if at all, for large x
like 40
. Therefore, practical computations might require numerical methods or an alternative approach.
In summary, the Maclaurin series for f(x) = cos(x^2)
is:
f(x) = ∑ (-1)^n * (x^(4n) / (2n)!)
And while we can compute some initial terms to get an approximation, evaluating f(40)
directly using the Maclaurin series is not practical due to the rapid growth of the terms.
In cases where you need a specific numerical value like f(40)
, leveraging numerical software or methods may be more effective.