Newton's formula for the sums of powers of roots?

In summary, the conversation discusses how to divide a polynomial function by a linear factor. The process involves rewriting the function in a specific form and then applying the fundamental theorem of algebra. The final result is a new polynomial function without the linear factor, making it easier to divide. The conversation ends with gratitude for solving the problem.
  • #1
Clara Chung
304
14
Please take a look of the photo. In the middle part, it says For each I, by division and gets the following results. Please further explain to me how to get the result by division. The photo is attached.

Attempt: 1. Using f(x)=α0(x-α1)(x-α2)...(x-αn) form. If it is divided by x-αi , there should be no αi occurs in the results.
2. Using fundamental theorem of algebra. a1/a0=α1+α2+α3+α4+..+αn, αi is lost so it is (a1-a0αi)x^(n-2),not(a1+a0αi)x^(n-2), so this is not the method. Then how should i divide it? Please help
 

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  • #2
The definition of [itex]f(x)[/itex] is this:

[itex]f(x) = a_0 x^n + a_1 x^{n-1} + ... + a_n[/itex]

We want to divide by [itex]x-\alpha_j[/itex]. To make this easy, let's rewrite the first term as follows:

[itex]a_0 x^n = a_0 x \cdot x^{n-1} = a_0 (x-\alpha_j + \alpha_j) \cdot x^{n-1} = a_0(x-\alpha_j) x^{n-1} + a_0 \alpha_j x^{n-1}[/itex]

The term [itex]a_0 \alpha_j x^{n-1}[/itex] is of order [itex]x^{n-1}[/itex], so it can be combined with the term [itex]a_1 x^{n-1}[/itex]. So [itex]f(x)[/itex] can be written as:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] x^{n-1} + a_2 x^{n-2} + ...[/itex]

We can similarly rewrite the second term:

[itex][a_0 \alpha_j + a_1] x^{n-1} = [a_0 \alpha_j + a_1](x - \alpha_j) \cdot x^{n-2} + [a_0 \alpha_j + a_1]\alpha_j x^{n-2}[/itex]

The second term, [itex][a_0 \alpha_j + a_1]\alpha_j x^{n-2}[/itex], can be combined with the term [itex]a_2 x^{n-2}[/itex]. So we can rewrite [itex]f(x)[/itex] yet again as:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [[a_0 \alpha_j + a_1]\alpha_j + a_2] x^{n-2} + ...[/itex]
[itex]= a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] x^{n-2} + ...[/itex]

You can continue this pattern to get:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] (x-\alpha_j) x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}](x-\alpha_j) x^0 + [a_0 (\alpha_j)^n + a_1 (\alpha_j)^{n-1} + a_2 (\alpha_j)^{n-2} + ... + a_n](x-\alpha_j) x^{-1}[/itex]

The very last term is zero, because we have the coefficient:
[itex][a_0 (\alpha_j)^n + a_1 (\alpha_j)^{n-1} + a_2 (\alpha_j)^{n-2} + ... + a_n][/itex]

which is just equal to [itex]f(\alpha_j)[/itex]. By definition, [itex]\alpha_j[/itex] is one of the zeros of [itex]f(x)[/itex]. So we can ignore the last term, to get:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] (x-\alpha_j) x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}](x-\alpha_j) x^0 [/itex]

Now having rewritten [itex]f(x)[/itex] in this way, we can easily divide by [itex]x-\alpha_j[/itex], since every term is multiplied by that. So we get:

[itex]\frac{f(x)}{x-\alpha_j} = a_0 x^{n-1} + [a_0 \alpha_j + a_1] x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}] x^0 [/itex]
 
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Likes Clara Chung
  • #3
stevendaryl said:
The definition of [itex]f(x)[/itex] is this:

[itex]f(x) = a_0 x^n + a_1 x^{n-1} + ... + a_n[/itex]

We want to divide by [itex]x-\alpha_j[/itex]. To make this easy, let's rewrite the first term as follows:

[itex]a_0 x^n = a_0 x \cdot x^{n-1} = a_0 (x-\alpha_j + \alpha_j) \cdot x^{n-1} = a_0(x-\alpha_j) x^{n-1} + a_0 \alpha_j x^{n-1}[/itex]

The term [itex]a_0 \alpha_j x^{n-1}[/itex] is of order [itex]x^{n-1}[/itex], so it can be combined with the term [itex]a_1 x^{n-1}[/itex]. So [itex]f(x)[/itex] can be written as:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] x^{n-1} + a_2 x^{n-2} + ...[/itex]

We can similarly rewrite the second term:

[itex][a_0 \alpha_j + a_1] x^{n-1} = [a_0 \alpha_j + a_1](x - \alpha_j) \cdot x^{n-2} + [a_0 \alpha_j + a_1]\alpha_j x^{n-2}[/itex]

The second term, [itex][a_0 \alpha_j + a_1]\alpha_j x^{n-2}[/itex], can be combined with the term [itex]a_2 x^{n-2}[/itex]. So we can rewrite [itex]f(x)[/itex] yet again as:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [[a_0 \alpha_j + a_1]\alpha_j + a_2] x^{n-2} + ...[/itex]
[itex]= a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] x^{n-2} + ...[/itex]

You can continue this pattern to get:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] (x-\alpha_j) x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}](x-\alpha_j) x^0 + [a_0 (\alpha_j)^n + a_1 (\alpha_j)^{n-1} + a_2 (\alpha_j)^{n-2} + ... + a_n](x-\alpha_j) x^{-1}[/itex]

The very last term is zero, because we have the coefficient:
[itex][a_0 (\alpha_j)^n + a_1 (\alpha_j)^{n-1} + a_2 (\alpha_j)^{n-2} + ... + a_n][/itex]

which is just equal to [itex]f(\alpha_j)[/itex]. By definition, [itex]\alpha_j[/itex] is one of the zeros of [itex]f(x)[/itex]. So we can ignore the last term, to get:

[itex]f(x) = a_0 (x-\alpha_j) x^{n-1} + [a_0 \alpha_j + a_1] (x-\alpha_j) x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] (x-\alpha_j) x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}](x-\alpha_j) x^0 [/itex]

Now having rewritten [itex]f(x)[/itex] in this way, we can easily divide by [itex]x-\alpha_j[/itex], since every term is multiplied by that. So we get:

[itex]\frac{f(x)}{x-\alpha_j} = a_0 x^{n-1} + [a_0 \alpha_j + a_1] x^{n-2} + [a_0 (\alpha_j)^2 + a_1 \alpha_j + a_2] x^{n-3} + ... + [a_0 (\alpha_j)^{n-1} + a_1 (\alpha_j)^{n-2} + a_2 (\alpha_j)^{n-3} + ... + a_{n-1}] x^0 [/itex]
Thanks for solving the problem that perplexed me so long. The answer is very clear.
 

Related to Newton's formula for the sums of powers of roots?

1. What is Newton's formula for the sums of powers of roots?

Newton's formula for the sums of powers of roots is a mathematical formula used to find the sum of the nth powers of the roots of any polynomial equation.

2. How is the formula derived?

The formula is derived using the coefficients of the polynomial equation and the binomial theorem.

3. What is the significance of Newton's formula?

Newton's formula allows us to find the exact sum of the nth powers of the roots of a polynomial equation without having to actually solve for the roots individually.

4. Can the formula be used for all polynomial equations?

Yes, the formula can be used for all polynomial equations, including those with complex roots.

5. How is the formula applied in real-world situations?

The formula can be used in various fields such as engineering, physics, and economics to solve problems involving polynomial equations and their roots.

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