Which differentiable functions R to R are bijective?

In summary, the conversation discusses the problem of finding necessary and sufficient conditions for a differentiable function f from R to R to be bijective. It is mentioned that if f'(x) is not equal to 0 for all real x, then f is injective, but it is noted that this is not a sufficient condition. It is suggested that f'(x) must be more than or equal to 0 for all x or less than or equal to 0 for all x in order for f to be injective, but it is also noted that this is not a correct condition as a constant function would satisfy it yet not be injective. The correct condition is proposed to be that f'(x) must equal 0 at
  • #1
murrayE
4
0
I innocently gave my students a problem: Which differentiable functions [tex] f: R \rightarrow R[/tex] are bijective? "Innocently", I say, because I'm finding it hard to come up with any simple set of conditions that are both necessary and sufficient. Here's what I can say so far:

(1) If [tex]f'(x) \neq 0[/tex] for all real x, then f is injective. (Easy)

(2) If f'(x) > 0 for all x and lim f(x) = +[tex]\infty[/tex] as x [tex]\rightarrow[/tex] +[tex]\infty[/tex] and lim f(x) =- [tex]\infty[/tex] as x [tex]\rightarrow[/tex] -[tex]\infty[/tex], or if f'(x) < 0 for all x and lim f(x) =- [tex]\infty[/tex] as x [tex]\rightarrow[/tex] +[tex]\infty[/tex] and lim f(x) = [tex]+\infty[/tex] as x [tex]\rightarrow[/tex] -[tex]\infty[/tex], then f is bijective.

(3) There are many bijective differentiable functions [tex] f: R \rightarrow R[/tex] that are bijective but for which f'(x) = 0 at one or more x. For example, [tex]f(x) = x^3[/tex]

Any ideas on a clean necessary & sufficient set of conditions?
 
Physics news on Phys.org
  • #2
The rule is that f'(x) must equal 0 at countably many values of x.

To simplify, you could say that f'(x) must be more than or equal to 0 for all x or less than or egual to for all x. [tex]\mbox{(\forall x \in \Re f'(x) \ge 0 \vee \forall x \in \Re f'(x) \le 0) \wedge f'(x)=0 at countably many x} \Leftrightarrow bijective[/tex]

Tex is being annoying. I hope you can read that.
 
Last edited:
  • #3
TylerH said:
The rule is that f'(x) must equal 0 at countably many values of x.

To simplify, you could say that f'(x) must be more than or equal to 0 for all x or less than or egual to for all x. [tex]\mbox{(\forall x \in \Re f'(x) \ge 0 \vee \forall x \in \Re f'(x) \le 0) \wedge f'(x)=0 at countably many x} \Leftrightarrow bijective[/tex]

Tex is being annoying. I hope you can read that.

Why can f'(x) only be 0 at countably many values of x?
 
  • #4
I like Serena said:
Why can f'(x) only be 0 at countably many values of x?
I had it backwards. That would be the rule for f being injective. Also, ignore everything below that line...

Sorry.
 
  • #5
I'd say:

For differentiable functions f from R to R we have:

(1) [tex]f \mbox{ is injective } \iff \forall x \in \mathbb{R}: f'(x) \ge 0 \quad \vee \quad \forall x \in \mathbb{R}: f'(x) \le 0[/tex]

(2) f is bijective iff f is injective and f approaches plus resp. minus infinity in its limits.
 
  • #6
I like Serena said:
I'd say:

For differentiable functions f from R to R we have:

(1) [tex]f \mbox{ is injective } \iff \forall x \in \mathbb{R}: f'(x) \ge 0 \quad \vee \quad \forall x \in \mathbb{R}: f'(x) \le 0[/tex]

(2) f is bijective iff f is injective and f approaches plus resp. minus infinity in its limits.

Statement (1) is wrong because a constant function would satisfy the condition yet not be injective! Certainly a strictly positive derivative everywhere or a strictly negative derivative everywhere suffices to be injective. As already mentioned, there is an issue about what kind of zeros the derivative can have.

Part of the difficulty of this problem is that a differentiable function need not have a continuous derivative, and that a differentiable bijection (e.g., x^3) need not have a differentiable inverse.
 
  • #7
murrayE said:
Statement (1) is wrong because a constant function would satisfy the condition yet not be injective! Certainly a strictly positive derivative everywhere or a strictly negative derivative everywhere suffices to be injective. As already mentioned, there is an issue about what kind of zeros the derivative can have.

Part of the difficulty of this problem is that a differentiable function need not have a continuous derivative, and that a differentiable bijection (e.g., x^3) need not have a differentiable inverse.

True.
Here's a new effort, although for now I'll have to assume the "countably many places" clause to be correct.

For differentiable functions f from R to R we have:

(1) [tex]f \mbox{ is injective} \iff (\forall x \in \mathbb{R}: f'(x) \ge 0 \quad \vee \quad \forall x \in \mathbb{R}: f'(x) \le 0) \quad \wedge \quad (f'(x) = 0 \mbox{ in countably many places})[/tex]

(2) [tex]f \mbox{ is bijective} \iff f \mbox{ is injective and } |f(x)| \to \infty \mbox{ for } x \to -\infty \mbox{ and for } x \to +\infty[/tex]
 
  • #8
I like Serena said:
True.
Here's a new effort, although for now I'll have to assume the "countably many places" clause to be correct.

For differentiable functions f from R to R we have:

(1) [tex]f \mbox{ is injective} \iff (\forall x \in \mathbb{R}: f'(x) \ge 0 \quad \vee \quad \forall x \in \mathbb{R}: f'(x) \le 0) \quad \wedge \quad (f'(x) = 0 \mbox{ in countably many places})[/tex]...

No, that still cannot be correct, and for the same reason, namely, a constant function (and even a function that's nondecreasing and constant on some interval) would satisfy the condition yet not be injective.
 
  • #9
murrayE said:
No, that still cannot be correct, and for the same reason, namely, a constant function (and even a function that's nondecreasing and constant on some interval) would satisfy the condition yet not be injective.

A constant function would have f'(x)=0 in an uncountable number of places.
The same is true for a function that is constant on some interval.
But for instance f(x)=x + sin x is bijective although f'(x)=0 for an infinite (but countable) number of values.

More specifically, for each x0 with f'(x0)=0 there must be an interval <x0-eps,x0+eps> for a sufficiently small eps >0, where f'(x) not 0, if x not x0.
 
  • #10
murrayE said:
No, that still cannot be correct, and for the same reason, namely, a constant function (and even a function that's nondecreasing and constant on some interval) would satisfy the condition yet not be injective.
Sorry, I forgot you included the qualification about the derivative being zero at only countably many points.

It's not clear to me why, with that qualification, we have now a necessary and sufficient condition for a differentiable function on the line being injective.

I can certainly imagine a smooth step-like function with denumerably many steps that's bijective. Without continuity of the derivative (and that's NOT assumed), does injectivity prevent a limit point of zeros of the derivative? does injectivity prohibit an uncountable set of zeros of the derivative that, nonetheless, don't force the function to be constant on some interval?
 
  • #11
murrayE said:
I can certainly imagine a smooth step-like function with denumerably many steps that's bijective.

Yes, f(x)=x + sin x would be such a function.

murrayE said:
Without continuity of the derivative (and that's NOT assumed), does injectivity prevent a limit point of zeros of the derivative? does injectivity prohibit an uncountable set of zeros of the derivative that, nonetheless, don't force the function to be constant on some interval?

For injectivity the function can not be constant on any interval.
In other words, there must be clear separations between the points where f' is zero (some epsilon > 0). I think that qualifies for the zeroes to be countable, but I have to admit that I'm not entirely sure yet.
Could there be a function with an uncountable number of inflection points that is injective nonetheless?
 
  • #12
The zeros of f' don't have to be countable. In fact, the zeros of f' don't even have to have measure zero! In fact, for any ε>0, we can find an injective function f:R→R such that f'(x) = 0 on the complement of a set of measure epsilon. Consider the following: let U be a dense open subset of R having measure ε, and let C be the complement of that set. Define [itex]g(x):=\mathrm{d}(x,C)=\min \{|x-y|:y \in C\}[/itex]. Observe that g(x) is continuous and that [itex]g(x)=0 \Leftrightarrow x \in C[/itex]. Now, let [itex]f(x) = \int_{0}^{x} g(t) \mathrm{d}t[/itex]. By the fundamental theorem of calculus, f'(x) = g(x), and f is strictly increasing, since for any a<b, U∩(a,b) is a nonempty open set by the density of U, and hence [itex]\mu (\{x \in (a,b): g(x)>0\}) = \mu (U \cap (a,b)) > 0[/itex], so [itex]f(b)-f(a) = \int_{a}^{b} g(t) \mathrm{d}t > 0[/itex]. With additional extra work we can arrange for f to be surjective as well (essentially by multiplying g with a function that blows up fast enough).

I think the best we can do here is to say that f is bijective iff the following hold:

a) (∀x, f'(x) ≥ 0) or (∀x, f'(x) ≤ 0)
b) f'(x) ≠ 0 on a dense set of points, and
c) [itex]\int_{-\infty}^{0} |f'(t)| \mathrm{d}t = \int_{0}^{\infty} |f'(t)| \mathrm{d}t = \infty[/itex]

Edit: in a previous version of this post, I asserted condition c was that the integral over the whole real line of |f'(t)| was infinite. However that only guarantees that the range of f will be at least a semi-infinite interval, not necessarily that it will be the whole real line. This version should be correct.
 
Last edited:
  • #13
Citan Uzuki said:
The zeros of f' don't have to be countable. In fact, the zeros of f' don't even have to have measure zero! In fact, for any ε>0, we can find an injective function f:R→R such that f'(x) = 0 on the complement of a set of measure epsilon. Consider the following: let U be a dense open subset of R having measure ε, and let C be the complement of that set. Define [itex]g(x):=\mathrm{d}(x,C)=\min \{|x-y|:y \in C\}[/itex]. Observe that g(x) is continuous and that [itex]g(x)=0 \Leftrightarrow x \in C[/itex]. Now, let [itex]f(x) = \int_{0}^{x} g(t) \mathrm{d}t[/itex]. By the fundamental theorem of calculus, f'(x) = g(x), and f is strictly increasing, since for any a<b, U∩(a,b) is a nonempty open set by the density of U, and hence [itex]\mu (\{x \in (a,b): g(x)>0\}) = \mu (U \cap (a,b)) > 0[/itex], so [itex]f(b)-f(a) = \int_{a}^{b} g(t) \mathrm{d}t > 0[/itex]. With additional extra work we can arrange for f to be surjective as well (essentially by multiplying g with a function that blows up fast enough).

I think the best we can do here is to say that f is bijective iff the following hold:

a) (∀x, f'(x) ≥ 0) or (∀x, f'(x) ≤ 0)
b) f'(x) ≠ 0 on a dense set of points, and
c) [itex]\int_{-\infty}^{0} |f'(t)| \mathrm{d}t = \int_{0}^{\infty} |f'(t)| \mathrm{d}t = \infty[/itex]

Edit: in a previous version of this post, I asserted condition c was that the integral over the whole real line of |f'(t)| was infinite. However that only guarantees that the range of f will be at least a semi-infinite interval, not necessarily that it will be the whole real line. This version should be correct.

I don't get it.
In your example any two a, b in C and to the left of U would have f(a)=f(b) which violates injectivity.

Btw, I like c).
 
  • #14
U is dense in R, so there are no a, b to the left of U.
 

1. What does it mean for a function to be differentiable?

Differentiability is a property of a function where the rate of change or derivatives of the function exist at every point in its domain. This means that the function has a well-defined slope or tangent line at every point.

2. Why is it important for a function to be differentiable?

Differentiable functions have many practical applications in fields such as physics, engineering, and economics. They allow us to model and analyze various real-world phenomena with precision and accuracy.

3. What does it mean for a function to be bijective?

A bijective function, also known as a one-to-one and onto function, is a function where each element in the domain is paired with a unique element in the range, and vice versa. This means that the function has both an inverse and a unique output for every input.

4. Why is it important for a function to be bijective?

Bijective functions have important applications in fields such as computer science, where they are used to establish one-to-one correspondence between two sets. In mathematics, they are useful for solving equations and proving theorems.

5. What are some examples of differentiable and bijective functions from R to R?

Examples of differentiable and bijective functions from R to R include the exponential function, logarithmic function, and trigonometric functions such as sine and cosine. Other examples include polynomial functions, rational functions, and power functions.

Similar threads

  • Calculus
Replies
9
Views
2K
Replies
2
Views
765
  • Calculus
Replies
25
Views
1K
Replies
1
Views
909
Replies
10
Views
1K
Replies
14
Views
2K
Replies
13
Views
1K
Replies
4
Views
872
Back
Top