Question of "min" function from Spivak

In summary: In order for the proof to work, both |a-...|< \delta and |a-...|< 1 must be true. That will be the case if it is less than the smaller of the two.
  • #1
Amad27
412
1
Hi,

Suppose you want to prove [itex]|x - a||x + a| < \epsilon[/itex]

You know

[itex]|x - a| < (2|a| + 1)[/itex]
You need to prove

[itex]|x + a| < \frac{\epsilon}{2|a| + 1}[/itex]

So that

[itex]|x - a||x + a| < \epsilon[/itex]

Why does Michael Spivak do this:

He says you have to prove --> [itex]|x + a| < min(1, \frac{\epsilon}{2|a| + 1})[/itex] in order to finally prove, [itex]|x + a||x - a| < \epsilon[/itex]

Why do we need the "min" function there?
Amad27 - The closing itex tag starts with /, not \. I fixed them all for you. - Mark44

Thanks!
 
Last edited by a moderator:
Physics news on Phys.org
  • #2
If we assume [itex]|x - a| < 1[/itex] then [itex]a - 1 < x < a + 1[/itex] so that [itex]2a - 1 < x + a < 2a + 1 \leq 2|a| + 1[/itex]. That in turn means that [tex]
|x - a||x + a| < |x - a|(2|a| + 1)[/tex] and we can ensure [itex]|x - a||x + a| < \epsilon[/itex] by requiring that [tex]
|x - a|(2|a| + 1) < \epsilon,[/tex] so that [tex]
|x - a| < \frac{\epsilon}{2|a| + 1}.[/tex] However the preceding argument assumed that [itex]|x - a| < 1[/itex], so [itex]|x - a|[/itex] must satisfy that constraint as well. Hence we must have [tex]
|x - a| < \min\left\{1, \frac{\epsilon}{2|a| + 1}\right\}.[/tex]
 
  • #3
pasmith said:
If we assume |xa|<1|x - a| < 1 then a−1<x<a+1a - 1 < x < a + 1 so that 2a−1<x+a<2a+1≤2|a|+12a - 1 < x + a < 2a + 1 \leq 2|a| + 1. That in turn means that

Hello @pasmith, I don't understand;

On WHAT basis and WHY are you assuming [itex]|x - a| < 1[/itex]??
 
  • #4
pasmith said:
If we assume |xa|<1|x - a| < 1 then a−1<x<a+1a - 1 < x < a + 1 so that 2a−1<x+a<2a+1≤2|a|+12a - 1 < x + a < 2a + 1 \leq 2|a| + 1. That in turn means that
Amad27 said:
Hello @pasmith, I don't understand;
On WHAT basis and WHY are you assuming [itex]|x - a| < 1[/itex]??
Amad, be careful when you quote someone. @pasmith did not write "|xa|<1|x - a| < 1" - what he wrote was "If we assume |x−a| < 1 then ..."

He made this assumption, and if it turns out that this assumption is incorrect, all that is accounted for in the last line of his post where he says that |s - a| will be less than the minimum of 1 and the expression involving ##\epsilon##.
 
  • #5
Mark44 said:
He made this assumption, and if it turns out that this assumption is incorrect, all that is accounted for in the last line of his post where he says that |s - a| will be less than the minimum of 1 and the expression involving ϵ\epsilon.

Hi,

What does [itex] min(1, \frac{\epsilon}{2|a| + 1|})[/itex]

Actually mean? I don't understand this "min" idea??
 
  • #6
Amad27 said:
Hi,

What does [itex] min(1, \frac{\epsilon}{2|a| + 1|})[/itex]

Actually mean? I don't understand this "min" idea??
It's very simple - it means the minimum, or smaller, of the two values.
 
  • #7
@Mark44, why can't we directly prove:

[itex] |x - a| < \frac{\epsilon}{2|a| + 1|}[/itex]

Why is that 1 required.

Why does it matter if |x - a| < min of something?

Thanks!
 
  • #8
Amad27 said:
@Mark44, why can't we directly prove:

[itex] |x - a| < \frac{\epsilon}{2|a| + 1|}[/itex]

Why is that 1 required.

Why does it matter if |x - a| < min of something?

Thanks!
The goal is to prove that |x - a||x + a| < ##\epsilon##

You need to get bounds on the value of |x + a|. He could just as easily assumed that |x - a| < 1/2 or |x - a| < 3 or whatever.
 
  • #9
Mark44 said:
You need to get bounds on the value of |x + a|. He could just as easily assumed that |x - a| < 1/2 or |x - a| < 3 or whatever.
Oh,

So its we know that

[itex] \frac{\epsilon}{2|a| + 1} < 1[/itex]?

If [itex] \frac{\epsilon}{2|a| + 1} < 1[/itex] is minimum of course.
 
  • #10
Amad27 said:
Oh,

So its we know that

[itex] \frac{\epsilon}{2|a| + 1} < 1[/itex]?

If [itex] \frac{\epsilon}{2|a| + 1} < 1[/itex] is minimum of course.
It all depends on the value of ##\epsilon##. For some values ##\frac{\epsilon}{2|a| + 1}## will be smaller than 1, but for suitably large values of ##\epsilon##, 1 will be larger.
 
  • #11
Mark44 said:
It all depends on the value of ϵ\epsilon. For some values ϵ2|a|+1\frac{\epsilon}{2|a| + 1} will be smaller than 1, but for suitably large values of ϵ\epsilon, 1 will be larger.

Right, since it depends for every [itex]\epsilon[/itex]

But why would he randomly choose one (1) as a part of the minimum function? Why not two(2) or three(3)?

So, if 1 is the minimum then how does it prove

[itex]|x-a||x+a| < \epsilon[/itex]?
 
  • #12
The "[itex]\delta[/itex]" was derived under the assumption that |a- 1|< 1 (so that -1< a- 1< 1 and then 1< a+ 1< 3). In order for the proof to work, both [tex]|a- 1|< \delta[/tex] and [tex]|a- 1|< 1[/tex] must be true. That will be the case if it is less than the smaller of the two.
 
  • #13
HallsofIvy said:
"δ\delta" was derived under the assumption that |a- 1|< 1 (so that -1< a- 1< 1 and then 1< a+ 1< 3). In order for the proof to work, both
|a−1|<δ​
|a- 1|< \delta and
|a−1|<1​
|a- 1|< 1 must be true. That will be the case if it is less than the smaller of the two.

But it has work for all real numbers,

Not just |x-a| < 1 what about |x-a| > 1 ?
 
  • #14
Amad27 said:
But it has work for all real numbers,

Not just |x-a| < 1 what about |x-a| > 1 ?
We don't care about that. You're missing the big picture here. The goal is to see how close x needs to be to a so that |x2 - a2| < ##\epsilon##.
We don't care about any x values that are relatively distant from a.
 
  • #15
Mark44 said:
We don't care about that. You're missing the big picture here. The goal is to see how close x needs to be to a so that |x2 - a2| < ϵ\epsilon.
We don't care about any x values that are relatively distant from a.

I really don't understand this concept.

The definition says you have to prove there is some [itex]\delta[/itex] such that [itex] |x - a| < \delta[/itex] not that [itex]|x - a| < \delta < 1[/itex]

Also, there is no proper definition of "relatively distant." Relatively close could mean 10000000000000. Why are you making assumptions anyway?
 
  • #16
Because if you don't make assumptions, you'll never get anywhere.
 
  • #17
Char. Limit said:
Because if you don't make assumptions, you'll never get anywhere.

I don't believe so; The goal I think is to bound the number [itex]|x - a|[/itex] so that it doesn't go overboard. Because when looking at limits you generally look at values close to x = a.
 
  • #18
Amad27 said:
I don't believe so; The goal I think is to bound the number [itex]|x - a|[/itex] so that it doesn't go overboard. Because when looking at limits you generally look at values close to x = a.

And that right there, that's the assumption. We assume that x is close to a - namely, that |x - a| < 1. We can safely assume this, so we do, and the rest of the proof follows from such.
 
  • #19
Amad27 said:
But it has work for all real numbers,

Not just |x-a| < 1 what about |x-a| > 1 ?

We don't care about [itex]|x - a | \geq 1[/itex].

To conclude that [itex]x^2 - a^2[/itex] is continuous at [itex]a[/itex] you need to prove:

Statement 1
For all [itex]\epsilon > 0[/itex] there exists a [itex]\delta > 0[/itex] such that for all [itex]x[/itex], if [itex]|x - a| < \delta[/itex] then [itex]|x^2 - a^2| < \epsilon[/itex].

What Spivak invites you to prove is a stronger statement:

Statement 2
For all [itex]\epsilon > 0[/itex] there exists a [itex]\delta > 0[/itex] such that [itex]\delta < 1[/itex] and for all [itex]x[/itex], if [itex]|x - a| < \delta[/itex] then [itex]|x^2 - a^2| < \epsilon[/itex].

Note that Statement 2 implies Statement 1. Of course one could substitute any [itex]R > 0[/itex] for '1' in Statement 2 and the result would still imply Statement 1, but 1 is the most natural choice.
 
  • #20
Amad27 said:
Also, there is no proper definition of "relatively distant." Relatively close could mean 10000000000000.
Really? In what context could 10 trillion be considered relatively close?

Saying that "relatively close" could mean 10 trillion comes off in my mind as trolling. Since the question has been asked and answered, I am closing this thread.
 
Last edited:

1. What is the "min" function in Spivak's book?

The "min" function is a mathematical function that determines the smallest value in a given set of numbers or variables.

2. How is the "min" function used in Spivak's book?

In Spivak's book, the "min" function is used to find the minimum value of a function or to solve optimization problems.

3. Can you provide an example of the "min" function from Spivak's book?

One example of the "min" function from Spivak's book is finding the minimum value of the function f(x) = x^2 + 3x - 4. In this case, the minimum value is -5, which occurs at x = -3.

4. What are some common applications of the "min" function in mathematics?

The "min" function is commonly used in mathematical analysis, optimization, and statistics. It is also used in computer programming and data analysis.

5. Are there any other similar functions to "min" in mathematics?

Yes, there are other similar functions such as the "max" function, which finds the largest value in a set, and the "inf" function, which finds the infimum or greatest lower bound of a set of numbers.

Similar threads

Replies
4
Views
1K
Replies
3
Views
905
Replies
1
Views
1K
Replies
9
Views
911
  • Calculus
Replies
2
Views
1K
Replies
4
Views
2K
Replies
25
Views
3K
  • Calculus
Replies
5
Views
1K
  • Calculus
Replies
1
Views
1K
  • Calculus
Replies
1
Views
1K
Back
Top