206.11.1.12 quadratic approximating polynomial

In summary, the conversation discusses finding linear and quadratic approximating polynomials for a given function centered at a specific point. The linear approximating polynomial is found using the formula $f(x)=f(a)+f'(a)(x-a)$ and the quadratic approximating polynomial is found using the formula $f(x)\approx P_2(x) = f(a)+f'(a)(x-a)+\frac{f''(a)}{2}(x-a)^2$. These polynomials can then be used to approximate the given quality, which may be an equality or inequality. Additionally, the conversation provides specific examples using the function $f(x)=\cos{x}$ and the point $a=\frac{\pi}{4}$ to
  • #1
karush
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$\tiny{206.11.1.12}$
$\textsf{a.Find the linear approximating polynomial for} \\$
$$\displaystyle f(x)=\cos{x}
\textsf{ centered at $\displaystyle a=\frac{\pi}{4}$.}
\text{approximate} \cos(0.28\pi)$$
$\textsf{ using}$
$$f(x)=f(a)+f'(a)(x-a)$$
$\textsf{b. Find the quadratic approximating polynomial}\\$.
$\textsf{Assume we plug into this formula
with $x=0.28\pi$ and $\displaystyle a=\frac{\pi}{4}$
with $f'(x)=-\sin\left({x}\right)$
and $f''(x)=-\cos\left({x}\right)$} \\$
$$\displaystyle f(x)\approx P_2(x)
=f(a)+f'(a)(x-a)+\frac{f''(a)}{2}(x-a)^2$$
$\textsf{c. Use the polynomials obtained in (a) and (b) to approximate the given quality}\\$

$\textsf{still confused abour this?}$
☕
 
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  • #2
Exactly what is your difficulty? You are told exactly what to do!
karush said:
$\tiny{206.11.1.12}$
$\textsf{a.Find the linear approximating polynomial for} \\$
$$\displaystyle f(x)=\cos{x}
\textsf{ centered at $\displaystyle a=\frac{\pi}{4}$.}
\text{approximate} \cos(0.28\pi)$$
$\textsf{ using}$
$$f(x)=f(a)+f'(a)(x-a)$$
Okay, f(x)= cos(x) and f'= -sin(x). At x= $\pi/4$ $cos(\pi/4)= sin(\pi/4)= \frac{\sqrt{2}}{2}$.

So $cos(x)= -\frac{\sqrt{2}}{2}(x-\pi/4)+ \frac{\sqrt{2}}{2}$.

$\textsf{b. Find the quadratic approximating polynomial}\\$.
$\textsf{Assume we plug into this formula
with $x=0.28\pi$ and $\displaystyle a=\frac{\pi}{4}$
with $f'(x)=-\sin\left({x}\right)$
and $f''(x)=-\cos\left({x}\right)$} \\$
$$\displaystyle f(x)\approx P_2(x)
=f(a)+f'(a)(x-a)+\frac{f''(a)}{2}(x-a)^2$$
$\textsf{tc. Use the polynomials obtained in (a) and (b) to approximate the given quality}\\$

$\textsf{still confused abour this?}$
☕
cosine and sine of "$0.28\pi$" do not give any thing simple ($sin(0.28\pi)$ is approximately 0.7705 and $cos(0.28\pi)$ is approximately 0.6374) so just enter $sin(0.28\pi)$ and $cos(0.28\pi)$:

$f(a)= cos(0.28\pi)$, $f'(a)=-sin(a)= -sin(0.28\pi)$, and $f''(a)= -cos(a)= -cos(0.28\pi)$ so we have
$cos(x)= cos(0.28\pi)- sin(0.28\pi)(x- 0.28\pi)- \frac{cos(0.28\pi)}{2}(x- 0.28\pi)^2$

For (c), what is the "given quality"? (Did you mean "equality" or "inequality"?)
 
  • #3
ok added image
 

FAQ: 206.11.1.12 quadratic approximating polynomial

1. What is a quadratic approximating polynomial?

A quadratic approximating polynomial is a mathematical function that is used to approximate a more complex function with a quadratic equation. It is a simpler and more manageable way to represent a non-linear relationship between variables.

2. How is a quadratic approximating polynomial calculated?

The quadratic approximating polynomial is calculated using a process called least squares regression. This involves finding the best fit quadratic curve that minimizes the sum of the squared differences between the actual data points and the predicted values.

3. What is the purpose of using a quadratic approximating polynomial?

The purpose of using a quadratic approximating polynomial is to simplify complex relationships between variables and make them more manageable for analysis and prediction. It can also help in visualizing and understanding non-linear data patterns.

4. How accurate is a quadratic approximating polynomial?

The accuracy of a quadratic approximating polynomial depends on the quality and quantity of the data used to create it. With a sufficient amount of high-quality data, the polynomial can provide a good approximation of the underlying relationship between variables.

5. What are the limitations of using a quadratic approximating polynomial?

One limitation of using a quadratic approximating polynomial is that it can only approximate non-linear relationships up to a certain degree. If the relationship between variables is more complex, a higher degree polynomial may be needed. Additionally, extrapolating beyond the range of the data used to create the polynomial can lead to unreliable predictions.

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