Why is this expression bounded by 1?

In summary, the conversation discusses ways to show that the expression |(1-e^(-iy))/(-iy)| is bounded by 1 for y∈ℝ. Different approaches such as using series expansion and finding extrema are suggested, but ultimately it is shown that f(y) = 2|sin(y/2)|/|y| is bounded by 1 on (-2,2) and therefore the original expression is bounded by 1.
  • #1
AxiomOfChoice
533
1
How exactly might one go about showing that

[tex]
\left| \frac{1 - e^{-iy}}{-iy} \right|
[/tex]

is bounded by 1 for [itex]y\in \mathbb R[/itex]? I thought this would be easy to show using the series expansion of [itex]e^{-iy}[/itex] in some way:

[tex]
\left| \frac{1 - e^{-iy}}{-iy} \right| = \left| 1 - \frac{iy}{2} - \frac{y^2}{6} + \frac{iy^3}{24} + \ldots \right| = \lim_{N\to \infty} \left| \sum_{n=0}^N \frac{(-iy)^n}{(n+1)!} \right| = \lim_{N\to \infty} g(y,N).
[/tex]

But this doesn't seem to be the right way to do it. For example, if you look at [itex]g(8,N)[/itex] for the first several values of [itex]N\in \mathbb N[/itex], it eventually settles down to something less than one, but it takes it awhile! Indeed, one needs to take [itex]N=14[/itex] to make [itex]g(8,N) < 1[/itex]. So I'm not sure a simple "inequalities are preserved under the limit" argument will work. And the series isn't alternating, so the alternating series estimation theorem won't work, either. Any ideas?
 
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  • #2
have you tried writing out the absolute values in top and bottom? using the basic identities e^(it) = cos(t) + i sin(t) and |a+bi|^2 = a^2 + b^2?
 
  • #3
Try expanding the expression, which will give you a real function of y. You can then find the extrema of the expression inside the square root by taking the derivative and setting it equal to zero, then find the largest extremum. A little involved, but it works.
 
  • #4
Ok. Both of you guys seem to have a pretty decent suggestion. It looks like, for [itex]y\in \mathbb R[/itex],

[tex]
\left| \frac{1 - e^{-iy}}{-iy} \right| = \frac{2}{|y|} \left| \sin \left( \frac{y}{2} \right) \right| = f(y).
[/tex]

We first observe that it is sufficient to show [itex]f(y) \leq 1[/itex] on [itex](-2,2)[/itex]; on the complement of this interval, the obvious estimate [itex]f(y) \leq \frac{2}{|y|} \leq 1[/itex] does the trick. (Note that we are forcing the original function to have the value of 1 at zero; maybe I should've mentioned that!) Also, [itex]f(y)[/itex] is an even function, so it will suffice to look at [itex]0 < y < 2[/itex]. If we let [itex]x = y/2[/itex], this is equivalent to looking at [itex]g(x) = \frac{\sin x}{x}[/itex] for [itex]0 < x < 1[/itex]. But the alternating series estimation theorem shows us that [itex]\frac{\sin x}{x} < 1[/itex] for [itex]x\in (0,1)[/itex], so we're done. Does this sound right?
 
  • #5


The expression in question, \left| \frac{1 - e^{-iy}}{-iy} \right|, is bounded by 1 because it represents the absolute value of a complex number divided by its argument. In other words, it represents the magnitude of a complex number divided by its angle in the complex plane. Since the magnitude of a complex number can never exceed its angle, the expression is always bounded by 1.

To formally prove this, one could use the triangle inequality for complex numbers, which states that |a + b| \leq |a| + |b|. Applying this to the expression in question, we have:

\left| \frac{1 - e^{-iy}}{-iy} \right| = \left| \frac{1}{-iy} - \frac{e^{-iy}}{-iy} \right| \leq \left| \frac{1}{-iy} \right| + \left| \frac{e^{-iy}}{-iy} \right|

= \frac{1}{|y|} + \frac{|e^{-iy}|}{|y|}

= \frac{1}{|y|} + \frac{1}{|y|}

= \frac{2}{|y|}

Since y\in \mathbb R, we know that |y| \geq 0. Therefore, \frac{2}{|y|} \leq 2. This means that \left| \frac{1 - e^{-iy}}{-iy} \right| \leq 2 for all y\in \mathbb R.

To show that the expression is actually bounded by 1, we can use the fact that |e^{-iy}| = 1 for all y\in \mathbb R. This means that the second term in the expression, \left| \frac{e^{-iy}}{-iy} \right|, is always equal to 1. Therefore, we have:

\left| \frac{1 - e^{-iy}}{-iy} \right| = \left| \frac{1}{-iy} - \frac{e^{-iy}}{-iy} \right| \leq \left| \frac{1}{-iy} \right| + \left| \frac{e^{-iy}}{-iy} \right|

= \frac{1}{|y|}
 

1. Why is this expression bounded by 1?

There are a few reasons why an expression may be bounded by 1. One possible reason is that the expression has a maximum or minimum value of 1, meaning it cannot exceed or fall below this value. Another reason could be that the expression is normalized to a scale of 0 to 1, making 1 the upper limit. Additionally, it could be a result of mathematical constraints or properties of the expression itself.

2. How do you determine if an expression is bounded by 1?

To determine if an expression is bounded by 1, you can analyze its behavior and limits. If the expression approaches a maximum or minimum value of 1 as its variables increase or decrease, it is likely bounded by 1. You can also check if the expression has a known upper limit of 1 or if it follows specific mathematical properties that restrict it to a range of 0 to 1.

3. What does it mean if an expression is bounded by 1?

If an expression is bounded by 1, it means that it cannot exceed or fall below the value of 1. This can have various implications, depending on the context of the expression. For example, in a scientific experiment, it could indicate that a certain variable has a maximum or minimum limit of 1, or that the results are normalized to a scale of 0 to 1.

4. Can an expression be bounded by 1 and still have a negative value?

Yes, it is possible for an expression to be bounded by 1 and still have a negative value. This could occur if the expression has an upper limit of 1, but also has a lower limit that is negative. In this case, the expression would be bounded by 1, but could still take on negative values within this range.

5. Are there any consequences of an expression being bounded by 1?

The consequences of an expression being bounded by 1 can vary depending on the context. In some cases, it could indicate a physical or mathematical limitation, while in others it could simply be a result of normalization or scaling. Understanding the reasons for an expression being bounded by 1 can provide valuable insight into the behavior and limitations of the system being studied.

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