Integer Part of $$\sum_{n=1}^{2001}\dfrac{1}{a_n+1}$$

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In summary, the integer part of a sum represents the whole number portion of the result, the variable "n" represents the number of terms being added, and the value of "a_n" affects the individual terms being added. There are various methods to evaluate this type of sum, and it is commonly used in fields such as mathematics, statistics, and engineering.
  • #1
Albert1
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$$a\,\, sequence:a_1=\dfrac {1}{3}\,\, and \,\, \,\, a_{n+1}=a_n^2+a_n,\,\, n=1,2,3,----2000\\
find \,\, the \,\, integer \,\, part\,\, of :\sum_{n=1}^{2001}\dfrac {1}{a_{n}+1}$$
 
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  • #2
Albert said:
$$a\,\, sequence:a_1=\dfrac {1}{3}\,\, and \,\, \,\, a_{n+1}=a_n^2+a_n---(1),\,\, n=1,2,3,----2000\\
find \,\, the \,\, integer \,\, part\,\, of :\sum_{n=1}^{2001}\dfrac {1}{a_{n}+1}$$
hint:
take reciprocals of both sides of (1)
and note: $a_{2001}>a_{2000}>-------->a_4>1>a_3>a_2>a_1=\dfrac {1}{3}$
 
  • #3
My solution(s):

A. First a quantitative approach.We can rewrite the sum, by noting that:

\[a_{n+1} = a_n^2+a_n \Rightarrow a_{n+1}+1 = a_n^2+a_n+1\Rightarrow \frac{1}{a_{n+1}+1} = \frac{1}{a_n^2+a_n+1}\]

Thus:

\[\sum_{n=1}^{2001}\frac{1}{a_n+1} = \frac{1}{a_1+1}+\sum_{n=1}^{2000}\frac{1}{a_n^2+a_n+1} \]

For $n \ge 4$ the $a_n$ are greater than 1, and grow in power of $2$, so the sum converges rapidly. Please cf. the table below.The first $9$ terms:

\[\begin{matrix} n & a_n & \frac{1}{a_n+1} & \sum_{i=1}^{n}\frac{1}{a_i+1}\\ 1 & 1/3 \approx 0.333 & 3/4 =0.75 & 3/4 = 0.75\\ 2& 4/9 \approx 0.444 & 9/13\approx 0.692 & 75/52 \approx 1.442\\ 3& 52/81 \approx 0.642& 81/133 \approx 0.609 & \frac{14187}{6916} \approx 2.051\\ 4& \frac{6916}{6561} \approx 1.054 & \frac{6561}{13477}\approx 0.487 & \approx 2.538\\ 5& \approx 2.165 & \approx 0.316 & \approx 2.854\\ 6&\approx 6.854 & \approx 0.127 & \approx 2.981\\ 7& \approx 53.82 & \approx 0.018 & \approx 2.999\\ 8& \approx 2951 & \approx 0.0003 & \approx 3.000\\ 9& \approx 8710990 & \approx 0.0000001 & \approx 3.000 \end{matrix}\]Thus the integer part of the sum is $3$.B. Then there is a qualitative approach:

Rewriting the recursive relation:

\[a_{n+1} = a_n^2+a_n \Rightarrow \frac{1}{a_{n+1}}=\frac{1}{a_n(a_n+1)} = \frac{1}{a_n}-\frac{1}{a_n+1} \Rightarrow \frac{1}{a_n+1} = \frac{1}{a_n}-\frac{1}{a_{n+1}}\]

So we have a telescoping sum:

\[\sum_{n = 1}^{2001} \frac{1}{a_n+1}= \sum_{n = 1}^{2001}\left ( \frac{1}{a_n} -\frac{1}{a_{n+1}}\right ) \\\\ =\left ( \frac{1}{a_1}-\frac{1}{a_2} \right )+\left (\frac{1}{a_2}-\frac{1}{a_3} \right )+ \left (\frac{1}{a_3}-\frac{1}{a_4} \right )+...+ \left (\frac{1}{a_{2001}}-\frac{1}{a_{2002}} \right )=\frac{1}{a_1}-\frac{1}{a_{2002}} = \frac{1}{a_1} = 3.\]

From the table, we know, that $a_n$ grows rapidly above $1$ for $n >4$.
Hence, the last term $\frac{1}{a_{2002}}$ can be ignored.
 
  • #4
lfdahl said:
My solution(s):

A. First a quantitative approach.We can rewrite the sum, by noting that:

\[a_{n+1} = a_n^2+a_n \Rightarrow a_{n+1}+1 = a_n^2+a_n+1\Rightarrow \frac{1}{a_{n+1}+1} = \frac{1}{a_n^2+a_n+1}\]

Thus:

\[\sum_{n=1}^{2001}\frac{1}{a_n+1} = \frac{1}{a_1+1}+\sum_{n=1}^{2000}\frac{1}{a_n^2+a_n+1} \]

For $n \ge 4$ the $a_n$ are greater than 1, and grow in power of $2$, so the sum converges rapidly. Please cf. the table below.The first $9$ terms:

\[\begin{matrix} n & a_n & \frac{1}{a_n+1} & \sum_{i=1}^{n}\frac{1}{a_i+1}\\ 1 & 1/3 \approx 0.333 & 3/4 =0.75 & 3/4 = 0.75\\ 2& 4/9 \approx 0.444 & 9/13\approx 0.692 & 75/52 \approx 1.442\\ 3& 52/81 \approx 0.642& 81/133 \approx 0.609 & \frac{14187}{6916} \approx 2.051\\ 4& \frac{6916}{6561} \approx 1.054 & \frac{6561}{13477}\approx 0.487 & \approx 2.538\\ 5& \approx 2.165 & \approx 0.316 & \approx 2.854\\ 6&\approx 6.854 & \approx 0.127 & \approx 2.981\\ 7& \approx 53.82 & \approx 0.018 & \approx 2.999\\ 8& \approx 2951 & \approx 0.0003 & \approx 3.000\\ 9& \approx 8710990 & \approx 0.0000001 & \approx 3.000 \end{matrix}\]Thus the integer part of the sum is $3$.B. Then there is a qualitative approach:

Rewriting the recursive relation:

\[a_{n+1} = a_n^2+a_n \Rightarrow \frac{1}{a_{n+1}}=\frac{1}{a_n(a_n+1)} = \frac{1}{a_n}-\frac{1}{a_n+1} \Rightarrow \frac{1}{a_n+1} = \frac{1}{a_n}-\frac{1}{a_{n+1}}\]

So we have a telescoping sum:

\[\sum_{n = 1}^{2001} \frac{1}{a_n+1}= \sum_{n = 1}^{2001}\left ( \frac{1}{a_n} -\frac{1}{a_{n+1}}\right ) \\\\ =\left ( \frac{1}{a_1}-\frac{1}{a_2} \right )+\left (\frac{1}{a_2}-\frac{1}{a_3} \right )+ \left (\frac{1}{a_3}-\frac{1}{a_4} \right )+...+ \left (\frac{1}{a_{2001}}-\frac{1}{a_{2002}} \right )=\frac{1}{a_1}-\frac{1}{a_{2002}} = \frac{1}{a_1} = 3.\]

From the table, we know, that $a_n$ grows rapidly above $1$ for $n >4$.
Hence, the last term $\frac{1}{a_{2002}}$ can be ignored.
$2<\dfrac{1}{a_1}-\dfrac{1}{a_{2002}}<3$
so the integer part should be 2
 
  • #5
Albert said:
$2<\dfrac{1}{a_1}-\dfrac{1}{a_{2002}}<3$
so the integer part should be 2
I´m sorry for my wrong conclusion. The integer part must be $2$. This is not obvious in the quantitative approach, because, I´ve made a rounding error. Thankyou for a most challenging puzzle, Albert!
 
  • #6
lfdahl said:
My solution(s):

A. First a quantitative approach.We can rewrite the sum, by noting that:

\[a_{n+1} = a_n^2+a_n \Rightarrow a_{n+1}+1 = a_n^2+a_n+1\Rightarrow \frac{1}{a_{n+1}+1} = \frac{1}{a_n^2+a_n+1}\]

Thus:

\[\sum_{n=1}^{2001}\frac{1}{a_n+1} = \frac{1}{a_1+1}+\sum_{n=1}^{2000}\frac{1}{a_n^2+a_n+1} \]

For $n \ge 4$ the $a_n$ are greater than 1, and grow in power of $2$, so the sum converges rapidly. Please cf. the table below.The first $9$ terms:

\[\begin{matrix} n & a_n & \frac{1}{a_n+1} & \sum_{i=1}^{n}\frac{1}{a_i+1}\\ 1 & 1/3 \approx 0.333 & 3/4 =0.75 & 3/4 = 0.75\\ 2& 4/9 \approx 0.444 & 9/13\approx 0.692 & 75/52 \approx 1.442\\ 3& 52/81 \approx 0.642& 81/133 \approx 0.609 & \frac{14187}{6916} \approx 2.051\\ 4& \frac{6916}{6561} \approx 1.054 & \frac{6561}{13477}\approx 0.487 & \approx 2.538\\ 5& \approx 2.165 & \approx 0.316 & \approx 2.854\\ 6&\approx 6.854 & \approx 0.127 & \approx 2.981\\ 7& \approx 53.82 & \approx 0.018 & \approx 2.999\\ 8& \approx 2951 & \approx 0.0003 & \approx 3.000\\ 9& \approx 8710990 & \approx 0.0000001 & \approx 3.000 \end{matrix}\]Thus the integer part of the sum is $3$.B. Then there is a qualitative approach:

Rewriting the recursive relation:

\[a_{n+1} = a_n^2+a_n \Rightarrow \frac{1}{a_{n+1}}=\frac{1}{a_n(a_n+1)} = \frac{1}{a_n}-\frac{1}{a_n+1} \Rightarrow \frac{1}{a_n+1} = \frac{1}{a_n}-\frac{1}{a_{n+1}}\]

So we have a telescoping sum:

\[\sum_{n = 1}^{2001} \frac{1}{a_n+1}= \sum_{n = 1}^{2001}\left ( \frac{1}{a_n} -\frac{1}{a_{n+1}}\right ) \\\\ =\left ( \frac{1}{a_1}-\frac{1}{a_2} \right )+\left (\frac{1}{a_2}-\frac{1}{a_3} \right )+ \left (\frac{1}{a_3}-\frac{1}{a_4} \right )+...+ \left (\frac{1}{a_{2001}}-\frac{1}{a_{2002}} \right )=\frac{1}{a_1}-\frac{1}{a_{2002}} = \frac{1}{a_1} = 3.\]

From the table, we know, that $a_n$ grows rapidly above $1$ for $n >4$.
Hence, the last term $\frac{1}{a_{2002}}$ can be ignored.
Neat
 
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FAQ: Integer Part of $$\sum_{n=1}^{2001}\dfrac{1}{a_n+1}$$

What is the significance of the "Integer Part" in the given sum?

The integer part of a sum is the whole number portion of the result, excluding any decimals or fractions. In this case, it represents the number of times the sum can be divided evenly without any remainder.

What is the purpose of the variable "n" in the sum's notation?

The variable "n" represents the number of terms being added in the sum. In this case, it ranges from 1 to 2001, indicating that there are 2001 terms being added together.

How does the value of "a_n" affect the overall result of the sum?

The value of "a_n" affects the individual terms being added in the sum. As "a_n" increases, the value of each term decreases, resulting in a smaller overall sum. Conversely, as "a_n" decreases, the value of each term increases, resulting in a larger overall sum.

Is there a specific method to evaluate this type of sum?

Yes, there are several methods to evaluate this type of sum, including using a calculator, a computer program, or a mathematical formula. It ultimately depends on the complexity of the sum and the resources available.

What applications or fields of study use sums like this in their calculations?

Sums like this can be used in various fields of study, including mathematics, statistics, physics, and engineering. They are also commonly used in computer algorithms and data analysis.

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