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What is the product \((1-x) \sum_{k=0}^{n} x^{k} ?\) What is the product $$ (1-x) \sum_{k=0}^{\infty} x^{k} ? $$

Short Answer

Expert verified
The product \( (1-x) \sum_{k=0}^{n} x^{k} = 1 - x^{n+1} \). The product \( (1-x) \sum_{k=0}^{\infty} x^{k} = 1 \).

Step by step solution

01

Understand the Given Expression

We need to find the product \( (1-x) \sum_{k=0}^{n} x^{k} \) and \( (1-x) \sum_{k=0}^{\infty} x^k \).
02

Recall the Geometric Series Formula

The geometric series formula states that \( \sum_{k=0}^{n} x^{k} = \frac{1 - x^{n+1}}{1 - x} \) for finite \( n \. Similarly, \sum_{k=0}^{\infty} x^k = \frac{1}{1-x} \) for \|x| < 1\.
03

Compute the Finite Sum Product

Substitute \( \sum_{k=0}^{n} x^{k} = \frac{1 - x^{n+1}}{1 - x} \) into the given product: \[ (1-x) \sum_{k=0}^{n} x^{k} = (1-x) \frac{1 - x^{n+1}}{1-x}. \] The \( (1-x) \) terms cancel out, leaving \[ 1 - x^{n+1}. \]
04

Compute the Infinite Sum Product

Substitute \( \sum_{k=0}^{\infty} x^{k} = \frac{1}{1-x} \) into the given product: \[ (1-x) \sum_{k=0}^{\infty} x^{k} = (1-x) \frac{1}{1-x}. \] The \( (1-x) \) terms cancel out, leaving \[ 1. \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Geometric Series
Geometric series are a type of series with a constant ratio between successive terms. For instance, in the series \texttt{1, x, x², x³, ...}, each term can be obtained by multiplying the previous term by a fixed value, which we call the common ratio (in this case, \texttt{x}). A geometric series can be finite or infinite depending on the limits of its terms.

A finite geometric series with \texttt{n} terms can be expressed as:
\[ \texttt{S_n = 1 + x + x^2 + ... + x^n} \] and its sum is given by the formula:
\[ \texttt{S_n = \frac{1 - x^{n+1}}{1 - x}} \] for \texttt{|x| < 1}. This formula simplifies finding the sum without adding each term individually.

An infinite geometric series, where the number of terms extends to infinity, can be written as:
\[ \texttt{S = 1 + x + x² + x³ + ...} \] This has a sum given by:
\[ \texttt{S = \frac{1}{1-x}} \] provided \texttt{|x| < 1}, ensuring the series converges to a finite value.
Finite Series Explained
A finite series is a sum of a specific number of terms. Mathematically, it is written in the form \[ \texttt{S_n = \frac{1 - x^{n+1}}{1 - x}}. \] When dealing with finite geometric series, the idea is to find the sum of all terms up to a certain point, say \texttt{n}.

For example, to compute \( (1-x) \texttt{ \frac{1 - x^{n+1}}{1 - x}} \), cancel out the \( (1-x) \) terms:
\[ \texttt{(1-x) \frac{1 - x^{n+1}}{1 - x} = 1 - x^{n+1}}. \] This shows that removing the common ratio's initial multiplying factor simplifies the series, leaving a clear result.
Infinite Series Insights
Unlike finite series, infinite series have an unlimited number of terms. They are more complex because they approach a limit as the number of terms increases. Infinite series are represented by:

\[ \texttt{\frac{1}{1-x}} \] for \texttt{|x| < 1}. This formula indicates the series sum converges to a finite value if \texttt{x} is between \texttt{-1} and \texttt{1}.

A specific calculation example is when computing:
\[ (1-x) \frac{1}{1-x}
The (1-x) terms cancel, simplifying to:
\texttt{1}. \]
Algebraic Simplification
Algebraic simplification involves reducing expressions to their simplest form. This is crucial for clarity and easier problem-solving. Consider the problem \[ (1-x) \frac{1 - x^{n+1}}{1 - x} \]. Here, \( (1-x) \) cancel each other, leaving:
\[ \texttt{1 - x^{n+1}}. \] Similarly, for infinite series:
\[ (1-x) \frac{1}{1-x} = 1. \]

Note: Algebraic manipulation requires careful handling of terms to maintain equality and avoid incorrect simplifications.

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Most popular questions from this chapter

We are going to choose a subset of the set \([n]=\\{1,2, \ldots, n\\}\). Suppose we use \(x_{1}\) to be the picture of choosing 1 to be in our subset. What is the picture enumerator for either choosing 1 or not choosing \(1 ?\) Suppose that for each \(i\) between 1 and \(n,\) we use \(x_{i}\) to be the picture of choosing \(i\) to be in our subset. What is the picture enumerator for either choosing \(i\) or not choosing \(i\) to be in our subset? What is the picture enumerator for all possible choices of subsets of \([n] ?\) What should we substitute for \(x_{i}\) in order to get a polynomial in \(x\) such that the coefficient of \(x^{k}\) is the number of ways to choose a \(k\) -element subset of \(n ?\) What theorem have we just reproved (a special case of)? (h)

Suppose we start (at the end of month 0 ) with 10 pairs of baby rabbits, and that after baby rabbits mature for one month they begin to reproduce, with each pair producing two new pairs at the end of each month afterwards. Suppose further that over the time we observe the rabbits, none die. Let \(a_{n}\) be the number of rabbits we have at the end of month \(n\). Show that \(a_{n}=a_{n-1}+2 a_{n-2}\). This is an example of a second order linear recurrence with constant coefficients. Using a method similar to that of Problem 211 , show that $$ \sum_{i=0}^{\infty} a_{i} x^{i}=\frac{10}{1-x-2 x^{2}} $$ This gives us the generating function for the sequence \(a_{i}\) giving the population in month \(i\); shortly we shall see a method for converting this to a solution to the recurrence.

(Used in Chapter 6.) Notice that when we used \(A^{2}\) to stand for taking two apples, and \(P^{3}\) to stand for taking three pears, then we used the product \(A^{2} P^{3}\) to stand for taking two apples and three pears. Thus we have chosen the picture of the ordered pair ( 2 apples, 3 pears) to be the product of the pictures of a multiset of two apples and a multiset of three pears. Show that if \(S_{1}\) and \(S_{2}\) are sets with picture functions \(P_{1}\) and \(P_{2}\) defined on them, and if we define the picture of an ordered pair \(\left(x_{1}, x_{2}\right) \in S_{1} \times S_{2}\) to be \(P\left(\left(x_{1}, x_{2}\right)\right)=P_{1}\left(x_{1}\right) P_{2}\left(x_{2}\right),\) then the picture enumerator of \(P\) on the set \(S_{1} \times S_{2}\) is \(E_{P_{1}}\left(S_{1}\right) E_{P_{2}}\left(S_{2}\right) .\) We call this the product principle for picture enumerators.

In Problem 217 you may have simply guessed at values of \(c\) and \(d\), or you may have solved a system of equations in the two unknowns \(c\) and \(d\). Given constants \(a, b, r_{1},\) and \(r_{2}\) (with \(\left.r_{1} \neq r_{2}\right)\), write down a system of equations we can solve for \(c\) and \(d\) to write $$ \frac{a x+b}{\left(x-r_{1}\right)\left(x-r_{2}\right)}=\frac{c}{x-r_{1}}+\frac{d}{x-r_{2}} $$

If we have five identical pennies, five identical nickels, five identical dimes, and five identical quarters, give the picture enumerator for the combinations of coins we can form and convert it to a generating function for the number of ways to make \(k\) cents with the coins we have. Do the same thing assuming we have an unlimited supply of pennies, nickels, dimes, and quarters. (w)

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