T - Improving Upper Bound for $a_n$ in Series for $n$

  • MHB
  • Thread starter alexmahone
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In summary: To answer your question, yes, there is a way to salvage your attempt. As you have already seen, using the left and right endpoints for the Riemann sum give different limits, so we need to find a different method. One way to do this is to use a midpoint Riemann sum instead. This involves partitioning the interval $[0,n]$ into $n$ sub-intervals, but instead of using the left or right endpoint as the sample point, we use the midpoint of each sub-interval. This means that our Riemann sum will now involve rectangles with width $\frac{1}{2}$ instead of $1$, giving us a tighter bound for the sum.To see this in action, let's look
  • #1
alexmahone
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Let $a_n=\sqrt{1}+\sqrt{2}+\ldots+\sqrt{n}$. Prove $a_n\sim\frac{2}{3}n^{3/2}$; ie, the ratio has limit 1 as $n\to\infty$.

I have posted my unsuccessful attempt to use the squeeze theorem. How do I improve the upper bound?

https://www.physicsforums.com/attachments/9
 
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  • #2
Hello,

1) Draw the graph of the function $f(x) = \sqrt{x}$ on the interval $[0,n]$.
2) Partition $[0,n]$ into $n$ sub-intervals: $[0,1], [1,2], ... , [n-1,n]$.
3) Form the Riemann sum where the sample point is chosen as the left-endpoint in each subinterval.
4) Form the Riemann sum where the sample point is chosen as the right-endpoint in each subinterval.
5) Observe that #3 is less than the area below $\sqrt{x}$ on $[0,n]$.
6) Observe that #4 is greater than the area below $\sqrt{x}$ on $[0,n]$.

Putting all of this together we get that,
$$ \sqrt{1} + \sqrt{2} + ... + \sqrt{n-1} < \int_0^n \sqrt{x} ~ dx < \sqrt{2} + \sqrt{3} + ... + \sqrt{n} $$
Thus,
$$ \tfrac{2}{3}n^{3/2} + 1 < \sqrt{1} + \sqrt{2} + ... + \sqrt{n} < \tfrac{2}{3}n^{3/2} + \sqrt{n}$$

Can you finish these steps yourself?

Bonus Problem: Show that $1^k + 2^k + 3^k + ... + n^k = \frac{n^{k+1}}{k+1} + \varepsilon(n)$ where $|\varepsilon(n)| < Mn^k$ where $M$ is some constant.
(Note, this is a generalization of your problem. Here $k$ is an positive real number).
 
  • #3
Thanks for your help, but is there any way to salvage my attempt, say by using a smaller rectangle for the upper bound.
 
  • #4
Alexmahone said:
Thanks for your help, but is there any way to salvage my attempt, say by using a smaller rectangle for the upper bound.

Based on your work you have shown that,
$$ \frac{2}{3} n^{3/2} < \sqrt{1} + \sqrt{2} + ... + \sqrt{n} < n^{3/2} $$
If you divide it out you get,
$$ \frac{2}{3} < \frac{\sqrt{1} + \sqrt{2} + ... + \sqrt{n}}{ n^{3/2} } < 1 $$
Here you cannot use any squeeze theorem as the lower and upper bounds have different limits. In other to apply squeeze theorem you need to have both the limits be equal.
 
  • #5
Another way:

Let $\left \lfloor x \right \rfloor$ denote the greatest integer that is less or equal than $x$ (the integer satisfying $\left \lfloor x \right \rfloor \leq x < \left \lfloor x \right \rfloor + 1$ ).

Note that $ \displaystyle\sum_{k=1}^{n}{\sqrt{k}} = \sum_{k=1}^{n}{\left\lfloor\sqrt{k}\right\rfloor} + R(n)$ where $| R(n) | \leq n$ , hence the remainder $R(n)$ is not going to be "big" enough to modify the asymptotic result we are looking for. $(*)$

The key observation is that $\left\lfloor\sqrt{k}\right\rfloor$ is constant when $k\in\{m^2,...,(m+1)^2-1\}$ and is equal to $m$ there (i.e. it is constants in large intervals)

Thus we write: $\sum_{k=1}^{n}{\left\lfloor\sqrt{k}\right\rfloor} = \sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}{m \cdot \left( (m+1)^2 - m^2 \right)} + \left\lfloor\sqrt{n}\right\rfloor \cdot \left( n - \left\lfloor\sqrt{n}\right\rfloor^2 + 1\right) $ $(**)$

Now: $\sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}{m \cdot \left( (m+1)^2 - m^2 \right)} = \sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}{m \cdot \left( 2\cdot m + 1 \right)} = 2 \cdot \sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}m^2 + \sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}m $

Since $\sum_{m=1}^a m^2 = \frac{a \cdot (a + 1) \cdot (2\cdot a + 1)}{ 6 } \sim \frac{a^3}{3}$ and $\sum_{m=1}^a m = \frac{a \cdot (a + 1) }{ 2 } \sim \frac{a^2}{2}$ we find: $ \sum_{m=1}^{\left\lfloor\sqrt{n}\right\rfloor - 1}{m \cdot \left( (m+1)^2 - m^2 \right)} \sim \frac{2}{3} \cdot (\left\lfloor\sqrt{n}\right\rfloor - 1)^3 \sim \frac{2}{3} \cdot n^{3/2} $ $(***)$

Finally we note that: $\left\lfloor\sqrt{n}\right\rfloor \leq \sqrt{n} < \left\lfloor\sqrt{n}\right\rfloor + 1$ implies $\left\lfloor\sqrt{n}\right\rfloor^2 \leq n < (\left\lfloor\sqrt{n}\right\rfloor + 1)^2$ and so $ 0 \leq n - \left\lfloor\sqrt{n}\right\rfloor^2 < (\left\lfloor\sqrt{n}\right\rfloor + 1)^2 - \left\lfloor\sqrt{n}\right\rfloor^2 = 2\cdot \left\lfloor\sqrt{n}\right\rfloor + 1$ thus $ \left\lfloor\sqrt{n}\right\rfloor \cdot \left( n - \left\lfloor\sqrt{n}\right\rfloor^2 + 1\right) \sim 2 \cdot n$ $(****)$

Now $(*)$, $(**)$ , $(***)$ and $(****)$ put together imply the result.
 
  • #6
Alexmahone said:
Thanks for your help, but is there any way to salvage my attempt, say by using a smaller rectangle for the upper bound.

IPH's method does exactly this. He uses your lower limit on the sum but replaces your upper limit by a tighter limit based on the same idea you have used for your lower limit.

(At least when he corrects his mistakes :) )

An improved upper limit is \( \displaystyle \int_1^{n+1} \sqrt{x} \; dx \)
CB
 
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  • #7
ThePerfectHacker said:
Thus,
$$ \tfrac{2}{3}n^{3/2} + 1 < \sqrt{1} + \sqrt{2} + ... + \sqrt{n} < \tfrac{2}{3}n^{3/2} + \sqrt{n}$$

Except put \(n=3\) then this is a claim that:

\[ \tfrac{2}{3}3^{3/2}+1=4.4641.. < \sqrt{1} + \sqrt{2} + \sqrt{3}=4.14626... \]

CB
 
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Related to T - Improving Upper Bound for $a_n$ in Series for $n$

1. What does the expression "a_n ~ 2/3 n^(3/2)" mean?

The expression "a_n ~ 2/3 n^(3/2)" means that the sequence a_n is approximately equal to 2/3 times n raised to the power of 3/2. This notation is used in mathematics to indicate that the two values are asymptotically equivalent, meaning that they approach each other as n approaches infinity.

2. How can I prove that a_n ~ 2/3 n^(3/2) is true?

To prove that the expression a_n ~ 2/3 n^(3/2) is true, you can use the definition of asymptotic equivalence and show that the limit of a_n/2/3 n^(3/2) is equal to 1 as n approaches infinity. This can be done using algebraic manipulation and the properties of limits.

3. What is the significance of a_n ~ 2/3 n^(3/2) in mathematics?

The expression a_n ~ 2/3 n^(3/2) is significant in mathematics because it describes the growth rate of a sequence. It can also be used to make approximations and estimates in various mathematical problems and applications.

4. Can you give an example of a sequence that follows the pattern of a_n ~ 2/3 n^(3/2)?

One example of a sequence that follows the pattern of a_n ~ 2/3 n^(3/2) is the sequence {2, 4, 8, 16, 32, ...}. As n increases, the values of a_n get closer to 2/3 times n^(3/2), with the ratio between consecutive terms approaching 1.

5. Are there any practical applications of a_n ~ 2/3 n^(3/2)?

Yes, there are practical applications of a_n ~ 2/3 n^(3/2) in fields such as physics, economics, and computer science. In physics, it can be used to describe the relationship between the displacement and time of an object in simple harmonic motion. In economics, it can be used to model the growth rate of a population over time. In computer science, it can be used to analyze the complexity and efficiency of algorithms as the input size increases.

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