Understanding Sup of Function fi(x) i E I

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The discussion centers on understanding the supremum of a family of functions, denoted as sup fi(x) for i in I, where I is an index set. Participants clarify that "i in I" indicates that each fi is an element of a collection of functions, and for each fixed x, the supremum is taken over these functions. A key question involves whether a constant c can be factored out of the supremum, leading to the conclusion that if c is positive, the equality sup [c * fi(x)] = c * sup [fi(x)] holds true. The participants also emphasize the importance of proving both directions of this equality rigorously, highlighting the definition of supremum as the smallest upper bound. Overall, the thread provides insights into the mathematical properties of supremum in the context of real-valued functions.
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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[/color]

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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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[/color]

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.
 
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!
 
Last edited:
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 cf_i(x)\leq c\cdot\sup_{i\in I}{f_i(x)}.

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

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

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

But this only shows that

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

How about the other direction?
 
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 \sup_{i\in I}{cf_i(x)}\leq c\sup_{i\in I}{f_i(x)}.
 
1)
For all i holds that cf_i(x)\leq c\cdot\sup_{i\in I}{f_i(x)}.

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 cf_i(x)\leq M, then c\cdot\sup_{i\in I}{f_i(x)}\leq M.
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.
 
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 \sup{c f_i(x)}. This shows that M is the smallest upper bound.
 
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 \sup{c f_i(x)}. This shows that M is the smallest upper bound.

I see.

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

I can understand the following implication
If for all i holds that cf_i(x)\leq M, then \cdot\sup_{i\in I}{c f_i(x)}\leq M. 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 cf_i(x)\leq M, then \cdot\sup_{i\in I}{c f_i(x)}\leq M. 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 cf_i(x)\leq M, then f_i(x)\leq \frac{M}{c} (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[/color]

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.
 
Last edited:
  • #12
Thank you very much.
 

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