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In this video I go over Question 3 of the Laboratory Project: Taylor Polynomials, and this time revisit the quadratic approximation but instead use a slightly different notation. In Question 1 I illustrated how the quadratic or parabola or 2nd order polynomial approximation P(x) = A + Bx + Cx^{2} can be used to approximate a function f(x) at x = a, with the conditions that P(a) = f’(a), P’(a) = f’(a), and P’’(a) = f’’(a). But in this video I show that it is often preferable to use a slightly different notation and instead use P(x) = A + B(x – a) + C(x – a)^{2}. The only difference in using this form is that the constants A, B, C will not necessarily be the same. This notation has the benefit in that determine the constants with the 3 conditions listed above is fairly easy because when we input x = a into P(x) or its derivative, most terms vanish because a – a = 0.

When we solve for the constants, I show that we obtain the function P(x) = f(a) + f’(a)(x – a) + f’’(a)(x – a)^{2}, which is a very convenient form to determine the constants, just from f(x) and its derivatives at x = a. Furthermore, this is the basis for Taylor Polynomials which I will be illustrating in further parts of this Laboratory Project, so make sure to watch this video and fully understand this concept!

Download the notes in my video: https://1drv.ms/b/s!As32ynv0LoaIh45zx3rzhpzXg-omew

View video notes on the Hive blockchain: https://peakd.com/mathematics/@mes/laboratory-project-taylor-polynomials-question-3-x-a-approximation-form

Related Videos:

Laboratory Project: Taylor Polynomials: Question 2: Approximation Accuracy: https://youtu.be/MRSs0Qofd_M

Laboratory Project: Taylor Polynomials: Question 1: Quadratic Approximation: https://youtu.be/8bpF3vccvEU

Taylor Polynomials - Introduction and Derivation: http://youtu.be/p2EkXwkbflk

Linear Approximation - Introduction and Examples: http://youtu.be/bXEK8bkWTtM

tan(x) = sin(x) = x and cos(x) = 1 near x = 0: Linear Approximation in Physics: http://youtu.be/TPtZIxICa3Q

Differentials Notation in Linear Approximation: [

Newton's Method of Linear Approximation - Introduction: http://youtu.be/aT4b_5l50RI .

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