Finding Taylor Polynomial of Degree 2 for f(x,y,z)

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In summary, the question is asking for the Taylor polynomial of degree 2 of the function f(x, y, z) = (x^2 + 2xy + y^2)e^z at (1, 2, 0). This can be found using Taylor's Theorem, which states that for a function f: V \to \mathbb{R}, if V is open, V \subseteq \mathbb{R}^n, c \in V, h \in \mathbb{R}^n, and f is of class C^{k+1}, then the Taylor polynomial of degree k is given by the sum of all derivatives of f evaluated at c times the corresponding powers of h
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I have a question that asks me to find the Taylor polynomial of degree 2 of the function:

[tex]f(x, y, z) = (x^2 + 2xy + y^2)e^z[/tex]

at (1, 2, 0). I have Taylor's Theorem given as follows:

If [itex]f : V \to \mathbb{R}[/itex], V is open, [itex]V \subseteq \mathbb{R}^n[/itex], [itex]c \in V[/itex], [itex]h \in \mathbb{R}^n[/itex], f is of class [itex]C^{k + 1}[/itex], and [itex]c + th \in V[/itex] if [itex]0 \leq t \leq 1[/itex], then:

[tex]f(c + h) = \sum _{l = 0} ^{k} \left ( \sum _{\{\alpha \in \mathbb{Z}_+ ^n : |\alpha | = l\} } \frac{D_1 ^{\alpha _1} \dots D_n ^{\alpha _n}f(c)}{l!}(h_1 ^{\alpha _1}, \dots , h_n ^{\alpha _n})\right ) + \sum _{\{\alpha \in \mathbb{Z}_+ ^n : |\alpha | = k + 1\}}\left ( \int _0 ^1 \frac{(1 - t)^k}{k!}D_1 ^{\alpha _1} \dots D_n ^{\alpha _n} f(c + th)(h_1 ^{\alpha _1}, \dots , h_n ^{\alpha _n})dt\right )[/tex]

Is this ugly thing above the thing I'm supposed to be working with? And if I'm asked for the polynomial of degree 2, then should my value for k be 1 or 2 (or something else)? Thanks.
 
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Yes, the ugly thing above is Taylor's Theorem which you are supposed to be working with. For the polynomial of degree 2, your value for k should be 2.
 
  • #3


Yes, the expression above is the formula for Taylor's Theorem. In this case, since you are asked to find the Taylor polynomial of degree 2, your value for k should be 2. This means that your polynomial will have terms up to the second degree. To find the polynomial, you will need to calculate the derivatives of f(x,y,z) up to order 2 and evaluate them at the point (1,2,0). Then, using the formula, you can find the coefficients for each term in the polynomial. Remember that the polynomial will have the form:

P(x,y,z) = f(1,2,0) + a(x-1) + b(y-2) + c(z-0) + d(x-1)^2 + e(x-1)(y-2) + f(y-2)^2 + g(z-0)^2

where a,b,c,d,e,f,g are the coefficients you will calculate. Hope this helps!
 

1. What is a Taylor Polynomial of Degree 2?

A Taylor Polynomial of Degree 2 is a mathematical function used to approximate a given function, f(x,y,z), in a specific point by using a polynomial of degree 2. It is a type of series expansion that is used to approximate functions and is named after the mathematician Brook Taylor.

2. How is a Taylor Polynomial of Degree 2 calculated?

A Taylor Polynomial of Degree 2 is calculated by using the Taylor series formula, which involves taking derivatives of f(x,y,z) at a specific point and plugging them into the polynomial. The formula is: T(x,y,z) = f(a,b,c) + f'(a,b,c)(x-a) + f'(a,b,c)(y-b) + f'(a,b,c)(z-c) + (1/2)f''(a,b,c)(x-a)^2 + (1/2)f''(a,b,c)(y-b)^2 + (1/2)f''(a,b,c)(z-c)^2.

3. What is the purpose of finding a Taylor Polynomial of Degree 2?

The purpose of finding a Taylor Polynomial of Degree 2 is to approximate a given function, f(x,y,z), at a specific point. It can be used to estimate the value of a function when the exact value is difficult to calculate, or to determine the behavior of a function near a certain point.

4. What is the difference between a Taylor Polynomial and a Taylor Series?

A Taylor Polynomial is a finite representation of a function, while a Taylor Series is an infinite representation. A Taylor Polynomial of Degree 2 will only include terms up to the second degree, while a Taylor Series will include all terms of all degrees. In other words, a Taylor Polynomial is a simplified version of a Taylor Series.

5. Can a Taylor Polynomial of Degree 2 be used for functions with more than 3 variables?

Yes, a Taylor Polynomial of Degree 2 can be used for functions with any number of variables. The formula for calculating it remains the same, but it will involve taking derivatives with respect to all variables and plugging them into the polynomial. However, as the number of variables increases, the complexity of the polynomial also increases, making it less accurate and practical to use. In these cases, higher degree Taylor Polynomials may be needed.

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