Calculating Coefficients Using Geometric Series

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In summary, the conversation is about how to calculate the coefficient of x^n in the expression (1-2x+x^2)^(-k). The solution involves rewriting the expression as a geometric series and differentiating it 2k times. The final result is a_n = (1-x)/(x-1)^(2k).
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bakerconspira
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Homework Statement


Calculate [tex][x^n] (1-2x+x^2)^{(-k)} [/tex]

Homework Equations


Just the geometric series.

The Attempt at a Solution


This is what I got so far [tex][x^n] (1-2x+x^2)^{(-k)} = [x^n]((x-1)^2)^{(-k)} = [x^n] \frac{1}{(x-1)^{(2k)}}[/tex]
Basically, how do I put this into a sum form? or can I just multiply like this [tex] \frac{1}{(x-1)^{(2k)}} * \frac{1-x}{1-x} \Rightarrow a_n = \frac{(1-x)}{(x-1)^{(2k)}}[/tex]?
 
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  • #2
I have no clue what you are asking! "Calculate ...". What do you mean by "calculate" an expression? You say "just the geometric series". What about a geometric series? Are you asked to write that expression in terms of a geometric series?
 
  • #3
Differentiate term by term 2k times:

[tex] \frac{1}{1-x} = 1 + x + x^2 + x^3 + \cdots [/tex]

NB: Halls, [x^n]f(x) is sometimes used to denote the coefficient of x^n in f(x) .
 

What is the purpose of calculating coefficients?

Calculating coefficients is a method used in scientific research to quantify the relationship between two or more variables. It helps determine the strength and direction of the relationship, and can be used to make predictions or draw conclusions.

What is the difference between correlation coefficients and regression coefficients?

Correlation coefficients measure the strength and direction of the linear relationship between two variables, while regression coefficients represent the change in the dependent variable for every unit change in the independent variable. In other words, correlation coefficients show how closely two variables are related, while regression coefficients show the impact of one variable on another.

How do you interpret the value of a coefficient?

The value of a coefficient can be interpreted as the amount of change in the dependent variable for every one unit change in the independent variable. For example, a coefficient of 0.5 means that for every one unit increase in the independent variable, the dependent variable is expected to increase by 0.5 units.

What is the significance of the p-value in coefficient calculations?

The p-value is a measure of the probability of obtaining a result at least as extreme as the one observed, assuming the null hypothesis is true. In coefficient calculations, a low p-value (usually less than 0.05) indicates that the coefficient is statistically significant, meaning it is unlikely to occur by chance and has a strong relationship with the dependent variable.

Can coefficients be negative?

Yes, coefficients can be negative. A negative coefficient indicates an inverse relationship between the variables, meaning as one variable increases, the other variable decreases. This is in contrast to a positive coefficient, which indicates a direct relationship between the variables.

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