Understanding Sup of Function fi(x) i E I

In summary: M is equal to the supremum of c*fi(x) over all i in I. So if for all i in I, c*fi(x) is greater than f(x), then M is also greater than f(x). This implies c sup f ≤ sup c f... because if c sup f > sup c f, then c*fi(x) is greater than f(x).
  • #1
kingwinner
1,270
0
Let {fi}i E I be a family of real-valued functions Rn->R.
Define a function
f(x)
=sup fi(x)
i E I


1) I'm having some trouble understanding what the sup over i E I of a function of x means? The usual "sup" that I've seen is something like
supf(x)
x E S
for some set S.
But they instead have i E I there which confuses me.

2) Is the following true?
sup [c * fi(x)]
i E I

= c *sup [fi(x)]
----i E I
In other words, can we pull out a constant out of the sup? If so, how can we rigorously prove it?

Any help is appreciated!
 
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  • #2
kingwinner said:
Let {fi}i E I be a family of real-valued functions Rn->R.
Define a function
f(x)
=sup fi(x)
i E I


1) I'm having some trouble understanding what the sup over i E I of a function of x means? The usual "sup" that I've seen is something like
supf(x)
x E S
for some set S.
But they instead have i E I there which confuses me.

2) Is the following true?
sup [c * fi(x)]
i E I

= c *sup [fi(x)]
----i E I
In other words, can we pull out a constant out of the sup? If so, how can we rigorously prove it?

Any help is appreciated!

Hey kingwinner.

I'm pretty sure in this context E means (an element of). Basically I is a set and i is talking about referencing an element of that set. In this context, you have a collection of functions. Usually we denote things like this as a collection of whole numbers but we generalize the notation by using sets.

As far as the second question goes, the answer should be yes but only because you are doing a linear transformation. Also the other thing is that c needs to be a positive real number (> 0) otherwise you can't do this. Think about what happens when everything is multiplied by a negative number or when everything is multiplied by zero.

If you did not do a simple linear transformation like above (in terms of multiplying and adding constants or constant functions) then this doesn't need to hold. Consider if you had functions all with negative values less than one and squaring the function. What do you think would happen to the supremum?

Sometimes its helpful to draw a few diagrams.
 
  • #3
Yes, for i E I, the E means "an element of".

1) OK, so
f(x)
=sup fi(x)
i E I
means that for every fixed x, we take the sup over i E I.


2) Suppose c is a constant >0. How can we rigorously prove from the definition of sup that
c*sup [fi(x)]
i E I

=sup [c * fi(x)] ?
i E I
It's still not clear to me...

Thanks for any help!
 
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  • #4
kingwinner said:
Yes, for i E I, the E means "an element of".

1) OK, so
f(x)
=sup fi(x)
i E I
means that for every fixed x, we take the sup over i E I.2) Suppose c is a constant >0. How can we rigorously prove from the definition of sup that
c*sup [fi(x)]
i E I

=sup [c * fi(x)] ?
i E I
It's still not clear to me...

Thanks for any help!

Well, to rigorously prove that, you need to prove two things:

1) For all i holds that [itex]cf_i(x)\leq c\cdot\sup_{i\in I}{f_i(x)}[/itex].

2) If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]c\cdot\sup_{i\in I}{f_i(x)}\leq M[/itex].
 
  • #5
micromass said:
Well, to rigorously prove that, you need to prove two things:

1) For all i holds that [itex]cf_i(x)\leq c\cdot\sup_{i\in I}{f_i(x)}[/itex].

2) If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]c\cdot\sup_{i\in I}{f_i(x)}\leq M[/itex].

But this only shows that

=sup [c * fi(x)] ?
i E I
≤ c*sup [fi(x)]
----i E I

How about the other direction?
 
  • #6
kingwinner said:
But this only shows that

=sup [c * fi(x)] ?
i E I
≤ c*sup [fi(x)]
----i E I

How about the other direction?

No, this shows equality. (1) shows that [itex]\sup_{i\in I}{cf_i(x)}\leq c\sup_{i\in I}{f_i(x)}[/itex].
 
  • #7
1)
For all i holds that [itex]cf_i(x)\leq c\cdot\sup_{i\in I}{f_i(x)}[/itex].

This implies
sup [c * fi(x)]
i E I
≤ c*sup [fi(x)]
----i E I
This proves one direction.

2) If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]c\cdot\sup_{i\in I}{f_i(x)}\leq M[/itex].
But I don't follow your second part. What is M equal to? And why would this imply c sup f ≤ sup c f ?

Thanks.
 
  • #8
kingwinner said:
1)

This implies
sup [c * fi(x)]
i E I
≤ c*sup [fi(x)]
----i E I
This proves one direction.


But I don't follow your second part. What is M equal to? And why would this imply c sup f ≤ sup c f ?

Thanks.

M is a number. Recall the definition of a supremum: a supremum is the smallest upper bound. So what I did is establish in (1) that it is an upper bound. And in (2) I establish that it's the smallest upper bound. Indeed: M is an arbitrary upper bound and I prove that M is greater than [itex]\sup{c f_i(x)}[/itex]. This shows that M is the smallest upper bound.
 
  • #9
micromass said:
M is a number. Recall the definition of a supremum: a supremum is the smallest upper bound. So what I did is establish in (1) that it is an upper bound. And in (2) I establish that it's the smallest upper bound. Indeed: M is an arbitrary upper bound and I prove that M is greater than [itex]\sup{c f_i(x)}[/itex]. This shows that M is the smallest upper bound.

I see.

If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]c\cdot\sup_{i\in I}{f_i(x)}\leq M[/itex].
But I have some trouble seeing why the above is true.

I can understand the following implication
If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]\cdot\sup_{i\in I}{c f_i(x)}\leq M[/itex]. But then why can we take the c out of the sup on the LHS? I think that's what we're actually trying to prove?
 
  • #10
kingwinner said:
But I have some trouble seeing why the above is true.

I can understand the following implication
If for all i holds that [itex]cf_i(x)\leq M[/itex], then [itex]\cdot\sup_{i\in I}{c f_i(x)}\leq M[/itex]. But then why can we take the c out of the sup on the LHS? I think that's what we're actually trying to prove?

Try to do it this way:

If [itex]cf_i(x)\leq M[/itex], then [itex]f_i(x)\leq \frac{M}{c}[/itex] (if c is nonzero!). Now take the supremum of both sides.
 
  • #11
kingwinner said:
Let {fi}i E I be a family of real-valued functions Rn->R.
Define a function
f(x)
=sup fi(x)
i E I


1) I'm having some trouble understanding what the sup over i E I of a function of x means?

Think "vertical" instead of horizontal.

You have a collection of functions f_1, f_2, f_3, ... f_i, ...

Think of them all superimposed on the same set of coordinate axes. So you have a bunch of function graphs on the plane.

Now for a given value of x, draw the vertical line through it. It hits EACH of the functions in one point: (x, f_1(x)), (x, f_2(x)), (x, f_3(x)), ...

Now the set of real numbers f_1(x), f_2(x), f_3(x), ... may happen to have a sup. For some values of x the sup will be defined; for other values it might not be (it might be an unbounded sequence. Then you could say the sup is +infinity if you are working in the extended real numbers).

You can define a new function f by f(x) = sup{f_i(x)} as i ranges over the index set. This new function f is well-defined for any x for which the sup exists for that particular x.

That's how to think of this.

(ps) I noticed that the domain is R^n. In that case you should still visualize the x-axis as the "domain axis," to coin a phrase. But here it's not literally true. The domain is a point in n-space so we can't visualize the graph as easily. But you can still see that the value of each function is a real number -- the range is R. So the same logic as before applies. For a fixed value of the domain, the SET of values of all the f_i may have a sup; and if it does, you can define f at that point in the domain as that sup.
 
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  • #12
Thank you very much.
 

1. What is the definition of sup of a function?

The sup of a function f_i(x) is the smallest upper bound of the set of values that f_i(x) can take for all values of x in the domain of the function. In other words, it is the smallest value that is greater than or equal to all values of the function.

2. How is the sup of a function calculated?

The sup of a function can be calculated by finding the maximum value of the function in its domain. This can be done by taking the derivative of the function and setting it equal to 0, then solving for x. The resulting value will be the maximum value of the function.

3. What is the significance of the sup of a function?

The sup of a function is important because it tells us the upper limit of the values that the function can take. It helps us understand the behavior of the function and can be used to determine the existence of limits and the convergence of sequences of functions.

4. Can a function have multiple sup values?

Yes, a function can have multiple sup values if it is defined on a non-closed interval. In this case, the sup is the smallest upper bound of the set of values that the function can take in the interval.

5. How does the sup of a function relate to its infimum?

The sup and infimum of a function are related because they both represent extreme values of the function. The sup is the smallest upper bound and the infimum is the largest lower bound. In some cases, the sup and infimum may be the same value, while in others they may be different.

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