Additive but not Scalable f: R-->R

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Discussion Overview

The discussion revolves around the properties of functions from the reals to the reals, specifically exploring whether a function can satisfy the condition ##g(cx) = cg(x)## for all real constants c and values x, while simultaneously failing to satisfy the additive property ##g(x+y) \neq g(x) + g(y)##. The conversation touches on theoretical aspects of functional equations and properties of linearity, as well as related problems in real analysis.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants propose that if ##g(cx) = cg(x)## holds for all real c and x, then it leads to the conclusion that g is linear with slope ##g(1)##.
  • Others discuss related problems from Rudin's Real and Complex Analysis, suggesting that if a function is continuous, it must be multiplication by a constant, while non-continuous functions have dense graphs in the plane.
  • A participant presents a proof sketch involving the density of rational linear combinations in the plane, emphasizing the implications of linear independence over the reals versus the rationals.
  • There is a discussion about the implications of the graph of a function being dense in the plane and the conditions under which this occurs.
  • Some participants clarify that the linear independence of vectors must be considered over the reals, not just over the rationals, providing examples to illustrate this point.

Areas of Agreement / Disagreement

Participants express differing views on the implications of the properties of the function g, particularly regarding its linearity and the conditions under which it can be additive or non-additive. The discussion remains unresolved with multiple competing views on the nature of such functions.

Contextual Notes

The discussion includes assumptions about continuity and linearity that are not universally agreed upon. The implications of density in the plane and the conditions for linear independence are also points of contention.

WWGD
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Hi, we know that using choice * that we can find a function ## f: \mathbb R \rightarrow \mathbb R ## so that ## f(x+y)=f(x)+f(y) ## , but f is not linear. Is the "other way" possible, i.e., can we have :
## g: \mathbb R \rightarrow \mathbb R ## so that, for all Real constants c, all Real values x , we have

## g(cx)=cg(x) ## , but ## g(x+y ) \neq g(x)+g(y) ## for all x,y ?
* I guess I am pro-choice ;).
 
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Assume that the condition ##g(cx) = cg(x)## holds for all real ##c,x##. Choose ##c=t## and ##x=1##. Then ##g(t) = g(cx) = cg(x) = tg(1)## for all real ##t##, so ##g## is linear with slope ##g(1)##.
 
Ah, yes, simpler than I thought, thanks.
 
I meant your solution is simple and nice, thanks.
 
There is a cool problem in Rudin's Real and Complex Analysis that is related to your question.

Consider the real numbers as a vector space over the rational numbers and let f be a Q linear map of the reals into the reals.

- Show that if f is continuous then it is multiplication by a constant
- Show that if it is not continuous, then its graph is dense in the plane.

BTW: Your additive function is automatically linear over the rational numbers.

If you are pro choice, how do you feel about the Continuum Hypothesis?
 
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@lavinia - that is a nice problem. "The graph is dense in the plane" means the function is highly pathological, so one might expect the solution to be difficult. But it turns out to be quite elementary. First, if we let ##c = f(1)##, then ##f(x) = f(x \cdot 1) = xf(1) = cx## for all rational ##x##. Suppose there is an irrational ##x## with ##f(x) = y \neq cx##. Pick any disk centered at a point ##(a,b)## with radius ##r > 0##, and show that there exist rationals ##p,q## such that the point ##(px + q, f(px + q)) = (px + q, py + cq)## lies inside the disk, i.e.
$$(a - (px + q))^2 + (b - (py + cq))^2 < r^2$$
Now ##g(p,q) = (a - (px + q))^2 + (b - (py + cq))^2## is a continuous function of ##p## and ##q##, and we can find a real solution ##(u,v)## such that ##g(u,v) = 0## by solving ##a = ux + v## and ##b = uy + cv## to obtain
$$u = \frac{b - ca}{y-cx} \> \text{ and } \> v = a - \left(\frac{b - ca}{y-cx}\right) x$$
The denominator ##y-cx## is nonzero because ##y \neq cx##.

Since ##g## is continuous, there is a ##\delta##-neighborhood ##N_\delta(u,v)## centered at ##(u,v)## such that every point ##(p,q) \in N_\delta(u,v)## satisfies ##g(p,q) < r^2##. There are infinitely many rational points in ##N_\delta(u,v)##, so all we have to is choose one.
 
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jbunniii said:
@lavinia - that is a nice problem. "The graph is dense in the plane" means the function is highly pathological, so one might expect the solution to be difficult. But it turns out to be quite elementary. First, if we let ##c = f(1)##, then ##f(x) = f(x \cdot 1) = xf(1) = cx## for all rational ##x##. Suppose there is an irrational ##x## with ##f(x) = y \neq cx##. Pick any disk centered at a point ##(a,b)## with radius ##r > 0##, and show that there exist rationals ##p,q## such that the point ##(px + q, f(px + q)) = (px + q, py + cq)## lies inside the disk, i.e.
$$(a - (px + q))^2 + (b - (py + cq))^2 < r^2$$
Now ##g(p,q) = (a - (px + q))^2 + (b - (py + cq))^2## is a continuous function of ##p## and ##q##, and we can find a real solution ##(u,v)## such that ##g(u,v) = 0## by solving ##a = ux + v## and ##b = uy + cv## to obtain
$$u = \frac{b - ca}{y-cx} \> \text{ and } \> v = a - \left(\frac{b - ca}{y-cx}\right) x$$
The denominator ##y-cx## is nonzero because ##y \neq cx##.

Since ##g## is continuous, there is a ##\delta##-neighborhood ##N_\delta(u,v)## centered at ##(u,v)## such that every point ##(p,q) \in N_\delta(u,v)## satisfies ##g(p,q) < r^2##. There are infinitely many rational points in ##N_\delta(u,v)##, so all we have to is choose one.
Really nice.
 
By the way, I think that this is a sketch of your proof done by contradiction rather than directly. It gives a nice picture of what is going on - provided I have not made a mistake.

Suppose there is an open disk, D, in the plane that is not hit by the function,f. That is: the graph of f completely misses the disk. This would happen if the graph were not dense in the plane.

Since f is additive and linear over the rationals and since the rationals are dense in the reals, it must also miss all open disks that are translates of D along a line of slope c = f(1).

For the same reason, f must miss all open disks that are translates of D along a line of slope ,y/x where y= f(x) and x is the irrational such that f(x) is not equal to c.

This second line has a different slope than c. So one can translate D along lines of both slopes iteratively to remove every open disk from the image of f. But this is impossible.
 
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@lavinia - That sounds right to me. Putting it another way, viewing ##\mathbb{R}^2## as a vector space over the rationals, the vectors ##v = (1, f(1))## and ##w = (x, f(x))## are linearly independent. The 2-dimensional subspace ##S## spanned by ##v## and ##w## is the set of linear combinations ##pv + qw##, where ##p,q\in \mathbb{Q}##. The graph of ##f## must contain ##S##. So it suffices to prove that ##S## is dense in ##\mathbb{R}^2##.

To prove this, we can define ##A : \mathbb{R}^2 \to \mathbb{R}^2## by ##A(r,s) = rv + sw##, where ##r,s \in \mathbb{R}## and ##v,w## are the vectors defined above. Since ##A## is a linear operator on ##\mathbb{R}^2##, it is continuous. It is also surjective (indeed, bijective) since ##v,w## are linearly independent over ##\mathbb{R}## (not just over ##\mathbb{Q}##). Therefore, ##\mathbb{R}^2 = A(\mathbb{R}^2) = A(\text{cl}(\mathbb{Q}^2)) \subset \text{cl}A(\mathbb{Q}^2)##, where ##\text{cl}## denotes closure. In other words, ##S = A(\mathbb{Q}^2)## is dense in ##\mathbb{R}^2## as desired.
 
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  • #10
RIght. So simply put, all rational linear combinations of two linearly independent vectors are a dense subset of the plane,
 
  • #11
lavinia said:
RIght. So simply put, all rational linear combinations of two linearly independent vectors are a dense subset of the plane,
Yes, provided that the vectors are linearly independent over ##\mathbb{R}##, not just over ##\mathbb{Q}##. Example: ##(0,1)## and ##(0,\sqrt{2})## won't work even though they are linearly independent over ##\mathbb{Q}##.
 
  • #12
jbunniii said:
Yes, provided that the vectors are linearly independent over ##\mathbb{R}##, not just over ##\mathbb{Q}##. Example: ##(0,1)## and ##(0,\sqrt{2})## won't work even though they are linearly independent over ##\mathbb{Q}##.[/QU
jbunniii said:
Yes, provided that the vectors are linearly independent over ##\mathbb{R}##, not just over ##\mathbb{Q}##. Example: ##(0,1)## and ##(0,\sqrt{2})## won't work even though they are linearly independent over ##\mathbb{Q}##.
Yes. That is what I meant.
 

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