Since we want a Taylor Polynomial centered at \(x=1\), we want to look for a polynomial in powers of \(x-1\). Since we want a third degree Taylor polynomial, this means we are looking for a polynomial of the form:
The coefficients are found using the requirements:
These requirements are used to establish a formula that relates the coefficients of the Taylor Polynomial to the derivatives of the function that it approximates for each \(k=0,1,2,\ldots ,n\):
| \(k\) | \(f^{(k)}(x)\) | \(f^{(k)}(1)\) | \(a_k = \frac {f^{(k)}(1)}{k!}\) |
| \(0\) | \(\answer {(2x-1)^{1/2}}\) | \(\answer {1}\) | \(\answer {1}\) |
| \(1\) | \(\answer {(2x-1)^{-1/2}}\) | \(\answer {1}\) | \(\answer {1}\) |
| \(2\) | \(\answer {-(2x-1)^{-3/2}}\) | \(\answer {-1}\) | \(\answer {-\frac {1}{2}}\) |
| \(3\) | \(\answer {3(2x-1)^{-5/2}}\) | \(\answer {3}\) | \(\answer {\frac {1}{2}}\) |
Hence, the third degree Taylor polynomial for \(f(x) =\sqrt {2x-1}\) is:
The exact value is found using the function, provided we use the correct \(x\)-value. Since \(f(x) = \sqrt {2x-1}\), the \(x\)-value that gives \(\sqrt {1.2}\) is \(x=\answer {1.1}\).
Thus, the exact answer to 6 decimal places is \(\sqrt {1.2} = \answer [tolerance= .000001]{1.095445}\)
We can use the third degree Taylor polynomial to write down the first and second degree Taylor polynomials. We can then substitute \(x=1.1\) into these to approximate \(\sqrt {1.2}\). In fact:
The second degree Taylor polynomial is \(p_2(x) = \answer {1}+\answer {1}(x-1)+\answer {-\frac {1}{2}}(x-1)^2\) so to 6 decimal places: \(\sqrt {1.2} \approx p_2(1.1) = \answer [tolerance=.000001]{1.095000}\).
The third degree Taylor polynomial is \(p_3(x) =1+(x-1)-\frac {1}{2}(x-1)^2+\frac {1}{2}(x-1)^3\) so to 6 decimal places: \(\sqrt {1.2} \approx p_3(1.1) = \answer [tolerance=.000001]{1.095500}\).
Do the higher order polynomials provide more accurate results?