Prove f has a fixed point if it is increasing but not necessarily continuous
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Suppose $f : [0, 1] rightarrow [0, 1]$ is increasing (but not necessarily continuous).
Show that there is a number $x in [0, 1]$ with $f(x) = x$.
(Hint: You can’t apply the IVT directly because the function need not be
continuous. Draw a picture and try to copy the proof of the Intermediate
Value Theorem.)
I don't understand how copying the IVT and connecting it to my graph would help me prove this since the IVT has nothing to do with increasing functions(or am I wrong about this?)
real-analysis functional-analysis analysis
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|
show 1 more comment
$begingroup$
Suppose $f : [0, 1] rightarrow [0, 1]$ is increasing (but not necessarily continuous).
Show that there is a number $x in [0, 1]$ with $f(x) = x$.
(Hint: You can’t apply the IVT directly because the function need not be
continuous. Draw a picture and try to copy the proof of the Intermediate
Value Theorem.)
I don't understand how copying the IVT and connecting it to my graph would help me prove this since the IVT has nothing to do with increasing functions(or am I wrong about this?)
real-analysis functional-analysis analysis
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What have you tried so far?
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– Matteo
Jan 27 at 15:44
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I tried copying the IVT but could not connect it with an increasing function
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– The Poor Jew
Jan 27 at 15:46
1
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I think you can apply squeeze theorem after doing binary search
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– Mark
Jan 27 at 15:47
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For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
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– Matteo
Jan 27 at 15:54
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@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
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– Clement C.
Jan 27 at 16:10
|
show 1 more comment
$begingroup$
Suppose $f : [0, 1] rightarrow [0, 1]$ is increasing (but not necessarily continuous).
Show that there is a number $x in [0, 1]$ with $f(x) = x$.
(Hint: You can’t apply the IVT directly because the function need not be
continuous. Draw a picture and try to copy the proof of the Intermediate
Value Theorem.)
I don't understand how copying the IVT and connecting it to my graph would help me prove this since the IVT has nothing to do with increasing functions(or am I wrong about this?)
real-analysis functional-analysis analysis
$endgroup$
Suppose $f : [0, 1] rightarrow [0, 1]$ is increasing (but not necessarily continuous).
Show that there is a number $x in [0, 1]$ with $f(x) = x$.
(Hint: You can’t apply the IVT directly because the function need not be
continuous. Draw a picture and try to copy the proof of the Intermediate
Value Theorem.)
I don't understand how copying the IVT and connecting it to my graph would help me prove this since the IVT has nothing to do with increasing functions(or am I wrong about this?)
real-analysis functional-analysis analysis
real-analysis functional-analysis analysis
edited Jan 28 at 6:08
Mark
2,09232450
2,09232450
asked Jan 27 at 15:42
The Poor JewThe Poor Jew
566
566
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What have you tried so far?
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– Matteo
Jan 27 at 15:44
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I tried copying the IVT but could not connect it with an increasing function
$endgroup$
– The Poor Jew
Jan 27 at 15:46
1
$begingroup$
I think you can apply squeeze theorem after doing binary search
$endgroup$
– Mark
Jan 27 at 15:47
$begingroup$
For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
$endgroup$
– Matteo
Jan 27 at 15:54
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@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
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– Clement C.
Jan 27 at 16:10
|
show 1 more comment
$begingroup$
What have you tried so far?
$endgroup$
– Matteo
Jan 27 at 15:44
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I tried copying the IVT but could not connect it with an increasing function
$endgroup$
– The Poor Jew
Jan 27 at 15:46
1
$begingroup$
I think you can apply squeeze theorem after doing binary search
$endgroup$
– Mark
Jan 27 at 15:47
$begingroup$
For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
$endgroup$
– Matteo
Jan 27 at 15:54
$begingroup$
@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
$endgroup$
– Clement C.
Jan 27 at 16:10
$begingroup$
What have you tried so far?
$endgroup$
– Matteo
Jan 27 at 15:44
$begingroup$
What have you tried so far?
$endgroup$
– Matteo
Jan 27 at 15:44
$begingroup$
I tried copying the IVT but could not connect it with an increasing function
$endgroup$
– The Poor Jew
Jan 27 at 15:46
$begingroup$
I tried copying the IVT but could not connect it with an increasing function
$endgroup$
– The Poor Jew
Jan 27 at 15:46
1
1
$begingroup$
I think you can apply squeeze theorem after doing binary search
$endgroup$
– Mark
Jan 27 at 15:47
$begingroup$
I think you can apply squeeze theorem after doing binary search
$endgroup$
– Mark
Jan 27 at 15:47
$begingroup$
For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
$endgroup$
– Matteo
Jan 27 at 15:54
$begingroup$
For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
$endgroup$
– Matteo
Jan 27 at 15:54
$begingroup$
@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
$endgroup$
– Clement C.
Jan 27 at 16:10
$begingroup$
@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
$endgroup$
– Clement C.
Jan 27 at 16:10
|
show 1 more comment
3 Answers
3
active
oldest
votes
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Hint
What about $$c=inf{xin [0,1]mid f(x)leq x}$$ if it exist ?
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1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
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– Mark
Jan 28 at 6:05
add a comment |
$begingroup$
Similar to Mark's solution. It makes use of Completeness principle.
If $f(0) = 0$, then $x = 0$; if $f(1) = 1$, then $x = 1$; otherwise let $a_0=f(0)$, $b_0=f(1)$, and, for $n=1,2,dots$ repeat the following.
(1) Let $Delta_n =frac{a_{n-1}+b_{n-1}}{2}$,
(2) If $fleft(Delta_nright) = Delta_n$, then $x = Delta_n$ and we are done.
(3) If $fleft(Delta_nright) < Delta_n$, set $a_n = a_{n-1}$, $b_n = Delta_n$.
(4) If $fleft(Delta_nright) > Delta_n$, set $a_n = Delta_n$, $b_n = b_{n-1}$.
This leads to the construction of a monotonically increasing sequence $left(a_nright)_{nin mathbb Z^+}$ and a monotonically decreasing sequence $left(b_nright)_{nin mathbb Z^+}$, such that
$$0=a_0 leq a_1 leq cdots leq a_n cdots leq b_n cdots leq b_1 leq b_0=1,$$
with
begin{equation}
f(b_n)<b_n,tag{1}label{eq:down}
end{equation}
and
begin{equation}
f(a_n)>a_n.tag{2}label{eq:up}
end{equation}
Furthermore we have
begin{equation}b_n - a_n leq frac{1}{2^n}.tag{3}label{eq:diff}end{equation}
So, by boundedness and monotonicity the two sequences converge (here Completeness comes into play), and by eqref{eq:diff}, they converge to the same number $alpha in [0,1]$.
Suppose now $f(alpha) > alpha$. Then, for sufficiently large $n$,
$$alpha leq b_n < f(alpha),$$
which, together with eqref{eq:down} gives
$$f(b_n) < b_n < f(alpha),$$
contradicting monotonicity of $f$. Similarly, if $f(alpha) < alpha$, then, for sufficiently large $n$,
$$f(alpha) < a_n leq alpha,$$
so that, using eqref{eq:up},
the inequality
$$ f(a_n) > a_n > f(alpha)$$
leads again to a contradiction. Thus, it must be $f(alpha) = alpha$.
Note
Completeness is necessary for the statement to hold true. As a counterexample consider the function $f: [0,1]cap Bbb Q rightarrow [0,1]cap Bbb Q$
$$f(x) = -frac{1}{x-3}.$$
This function is continuous and strictly increasing in its domain, but there is no point in the domain in which $f(x) = x$.
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add a comment |
$begingroup$
Start by defining the sequences $l_n, u_n$, where the variable names stand for "lower" and "upper". And let $x_n equiv (l_n + u_n)/2$.
$l_0 equiv 0, u_0 equiv 1$
Now inductively define $l_k, u_k$:
If $f(x_{k-1}) lt x_{k-1}$, define $u_k equiv x_{k-1}, l_k equiv l_{k-1}$ (shift the upper bound down).
If $f(x_{k-1}) > x_{k-1}$, define $u_k equiv u_{k-1}, l_k equiv x_{k-1}$ (shift the lower bound up)
(And if $f(x_{k-1}) = x_{k-1}$ we are done, so we can ignore this case).
This part is kind of like the intermediate value theorem, where we keep narrowing the search for our target.
The set $f([l_k, u_k])$ is in the square $[l_k, u_k]times[l_k, u_k]$. (Using induction and $f$ is increasing. It's kind of clear if you draw a picture.)
For any $k$, the square $[l_k, u_k]times[l_k, u_k]$ intersects the diagonal line ${ (x, x )}$ since it contains $(l_k, l_k)$, so if the sequence of nested squares converges, it converges to a point on the diagonal.
But it does converge, since $[l_k, u_k]$ converges to some singleton set ${ c }$.
Putting it all together, $forall k, f(c) in f([l_k, u_k]) subset [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in cap_k [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in { (c, c) }$.
$ f(c) = c $.
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I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
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– Matteo
Jan 28 at 19:12
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@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
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– Mark
Jan 29 at 3:30
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
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$begingroup$
Hint
What about $$c=inf{xin [0,1]mid f(x)leq x}$$ if it exist ?
$endgroup$
1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
add a comment |
$begingroup$
Hint
What about $$c=inf{xin [0,1]mid f(x)leq x}$$ if it exist ?
$endgroup$
1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
add a comment |
$begingroup$
Hint
What about $$c=inf{xin [0,1]mid f(x)leq x}$$ if it exist ?
$endgroup$
Hint
What about $$c=inf{xin [0,1]mid f(x)leq x}$$ if it exist ?
answered Jan 27 at 15:45


SurbSurb
38.4k94478
38.4k94478
1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
add a comment |
1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
1
1
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
$begingroup$
This approach is elucidated here en.wikipedia.org/wiki/Knaster–Tarski_theorem and is actually pretty interesting in that it doesn't require the use of any real analysis.
$endgroup$
– Mark
Jan 28 at 6:05
add a comment |
$begingroup$
Similar to Mark's solution. It makes use of Completeness principle.
If $f(0) = 0$, then $x = 0$; if $f(1) = 1$, then $x = 1$; otherwise let $a_0=f(0)$, $b_0=f(1)$, and, for $n=1,2,dots$ repeat the following.
(1) Let $Delta_n =frac{a_{n-1}+b_{n-1}}{2}$,
(2) If $fleft(Delta_nright) = Delta_n$, then $x = Delta_n$ and we are done.
(3) If $fleft(Delta_nright) < Delta_n$, set $a_n = a_{n-1}$, $b_n = Delta_n$.
(4) If $fleft(Delta_nright) > Delta_n$, set $a_n = Delta_n$, $b_n = b_{n-1}$.
This leads to the construction of a monotonically increasing sequence $left(a_nright)_{nin mathbb Z^+}$ and a monotonically decreasing sequence $left(b_nright)_{nin mathbb Z^+}$, such that
$$0=a_0 leq a_1 leq cdots leq a_n cdots leq b_n cdots leq b_1 leq b_0=1,$$
with
begin{equation}
f(b_n)<b_n,tag{1}label{eq:down}
end{equation}
and
begin{equation}
f(a_n)>a_n.tag{2}label{eq:up}
end{equation}
Furthermore we have
begin{equation}b_n - a_n leq frac{1}{2^n}.tag{3}label{eq:diff}end{equation}
So, by boundedness and monotonicity the two sequences converge (here Completeness comes into play), and by eqref{eq:diff}, they converge to the same number $alpha in [0,1]$.
Suppose now $f(alpha) > alpha$. Then, for sufficiently large $n$,
$$alpha leq b_n < f(alpha),$$
which, together with eqref{eq:down} gives
$$f(b_n) < b_n < f(alpha),$$
contradicting monotonicity of $f$. Similarly, if $f(alpha) < alpha$, then, for sufficiently large $n$,
$$f(alpha) < a_n leq alpha,$$
so that, using eqref{eq:up},
the inequality
$$ f(a_n) > a_n > f(alpha)$$
leads again to a contradiction. Thus, it must be $f(alpha) = alpha$.
Note
Completeness is necessary for the statement to hold true. As a counterexample consider the function $f: [0,1]cap Bbb Q rightarrow [0,1]cap Bbb Q$
$$f(x) = -frac{1}{x-3}.$$
This function is continuous and strictly increasing in its domain, but there is no point in the domain in which $f(x) = x$.
$endgroup$
add a comment |
$begingroup$
Similar to Mark's solution. It makes use of Completeness principle.
If $f(0) = 0$, then $x = 0$; if $f(1) = 1$, then $x = 1$; otherwise let $a_0=f(0)$, $b_0=f(1)$, and, for $n=1,2,dots$ repeat the following.
(1) Let $Delta_n =frac{a_{n-1}+b_{n-1}}{2}$,
(2) If $fleft(Delta_nright) = Delta_n$, then $x = Delta_n$ and we are done.
(3) If $fleft(Delta_nright) < Delta_n$, set $a_n = a_{n-1}$, $b_n = Delta_n$.
(4) If $fleft(Delta_nright) > Delta_n$, set $a_n = Delta_n$, $b_n = b_{n-1}$.
This leads to the construction of a monotonically increasing sequence $left(a_nright)_{nin mathbb Z^+}$ and a monotonically decreasing sequence $left(b_nright)_{nin mathbb Z^+}$, such that
$$0=a_0 leq a_1 leq cdots leq a_n cdots leq b_n cdots leq b_1 leq b_0=1,$$
with
begin{equation}
f(b_n)<b_n,tag{1}label{eq:down}
end{equation}
and
begin{equation}
f(a_n)>a_n.tag{2}label{eq:up}
end{equation}
Furthermore we have
begin{equation}b_n - a_n leq frac{1}{2^n}.tag{3}label{eq:diff}end{equation}
So, by boundedness and monotonicity the two sequences converge (here Completeness comes into play), and by eqref{eq:diff}, they converge to the same number $alpha in [0,1]$.
Suppose now $f(alpha) > alpha$. Then, for sufficiently large $n$,
$$alpha leq b_n < f(alpha),$$
which, together with eqref{eq:down} gives
$$f(b_n) < b_n < f(alpha),$$
contradicting monotonicity of $f$. Similarly, if $f(alpha) < alpha$, then, for sufficiently large $n$,
$$f(alpha) < a_n leq alpha,$$
so that, using eqref{eq:up},
the inequality
$$ f(a_n) > a_n > f(alpha)$$
leads again to a contradiction. Thus, it must be $f(alpha) = alpha$.
Note
Completeness is necessary for the statement to hold true. As a counterexample consider the function $f: [0,1]cap Bbb Q rightarrow [0,1]cap Bbb Q$
$$f(x) = -frac{1}{x-3}.$$
This function is continuous and strictly increasing in its domain, but there is no point in the domain in which $f(x) = x$.
$endgroup$
add a comment |
$begingroup$
Similar to Mark's solution. It makes use of Completeness principle.
If $f(0) = 0$, then $x = 0$; if $f(1) = 1$, then $x = 1$; otherwise let $a_0=f(0)$, $b_0=f(1)$, and, for $n=1,2,dots$ repeat the following.
(1) Let $Delta_n =frac{a_{n-1}+b_{n-1}}{2}$,
(2) If $fleft(Delta_nright) = Delta_n$, then $x = Delta_n$ and we are done.
(3) If $fleft(Delta_nright) < Delta_n$, set $a_n = a_{n-1}$, $b_n = Delta_n$.
(4) If $fleft(Delta_nright) > Delta_n$, set $a_n = Delta_n$, $b_n = b_{n-1}$.
This leads to the construction of a monotonically increasing sequence $left(a_nright)_{nin mathbb Z^+}$ and a monotonically decreasing sequence $left(b_nright)_{nin mathbb Z^+}$, such that
$$0=a_0 leq a_1 leq cdots leq a_n cdots leq b_n cdots leq b_1 leq b_0=1,$$
with
begin{equation}
f(b_n)<b_n,tag{1}label{eq:down}
end{equation}
and
begin{equation}
f(a_n)>a_n.tag{2}label{eq:up}
end{equation}
Furthermore we have
begin{equation}b_n - a_n leq frac{1}{2^n}.tag{3}label{eq:diff}end{equation}
So, by boundedness and monotonicity the two sequences converge (here Completeness comes into play), and by eqref{eq:diff}, they converge to the same number $alpha in [0,1]$.
Suppose now $f(alpha) > alpha$. Then, for sufficiently large $n$,
$$alpha leq b_n < f(alpha),$$
which, together with eqref{eq:down} gives
$$f(b_n) < b_n < f(alpha),$$
contradicting monotonicity of $f$. Similarly, if $f(alpha) < alpha$, then, for sufficiently large $n$,
$$f(alpha) < a_n leq alpha,$$
so that, using eqref{eq:up},
the inequality
$$ f(a_n) > a_n > f(alpha)$$
leads again to a contradiction. Thus, it must be $f(alpha) = alpha$.
Note
Completeness is necessary for the statement to hold true. As a counterexample consider the function $f: [0,1]cap Bbb Q rightarrow [0,1]cap Bbb Q$
$$f(x) = -frac{1}{x-3}.$$
This function is continuous and strictly increasing in its domain, but there is no point in the domain in which $f(x) = x$.
$endgroup$
Similar to Mark's solution. It makes use of Completeness principle.
If $f(0) = 0$, then $x = 0$; if $f(1) = 1$, then $x = 1$; otherwise let $a_0=f(0)$, $b_0=f(1)$, and, for $n=1,2,dots$ repeat the following.
(1) Let $Delta_n =frac{a_{n-1}+b_{n-1}}{2}$,
(2) If $fleft(Delta_nright) = Delta_n$, then $x = Delta_n$ and we are done.
(3) If $fleft(Delta_nright) < Delta_n$, set $a_n = a_{n-1}$, $b_n = Delta_n$.
(4) If $fleft(Delta_nright) > Delta_n$, set $a_n = Delta_n$, $b_n = b_{n-1}$.
This leads to the construction of a monotonically increasing sequence $left(a_nright)_{nin mathbb Z^+}$ and a monotonically decreasing sequence $left(b_nright)_{nin mathbb Z^+}$, such that
$$0=a_0 leq a_1 leq cdots leq a_n cdots leq b_n cdots leq b_1 leq b_0=1,$$
with
begin{equation}
f(b_n)<b_n,tag{1}label{eq:down}
end{equation}
and
begin{equation}
f(a_n)>a_n.tag{2}label{eq:up}
end{equation}
Furthermore we have
begin{equation}b_n - a_n leq frac{1}{2^n}.tag{3}label{eq:diff}end{equation}
So, by boundedness and monotonicity the two sequences converge (here Completeness comes into play), and by eqref{eq:diff}, they converge to the same number $alpha in [0,1]$.
Suppose now $f(alpha) > alpha$. Then, for sufficiently large $n$,
$$alpha leq b_n < f(alpha),$$
which, together with eqref{eq:down} gives
$$f(b_n) < b_n < f(alpha),$$
contradicting monotonicity of $f$. Similarly, if $f(alpha) < alpha$, then, for sufficiently large $n$,
$$f(alpha) < a_n leq alpha,$$
so that, using eqref{eq:up},
the inequality
$$ f(a_n) > a_n > f(alpha)$$
leads again to a contradiction. Thus, it must be $f(alpha) = alpha$.
Note
Completeness is necessary for the statement to hold true. As a counterexample consider the function $f: [0,1]cap Bbb Q rightarrow [0,1]cap Bbb Q$
$$f(x) = -frac{1}{x-3}.$$
This function is continuous and strictly increasing in its domain, but there is no point in the domain in which $f(x) = x$.
edited Jan 29 at 9:41
answered Jan 28 at 15:30


MatteoMatteo
1,242313
1,242313
add a comment |
add a comment |
$begingroup$
Start by defining the sequences $l_n, u_n$, where the variable names stand for "lower" and "upper". And let $x_n equiv (l_n + u_n)/2$.
$l_0 equiv 0, u_0 equiv 1$
Now inductively define $l_k, u_k$:
If $f(x_{k-1}) lt x_{k-1}$, define $u_k equiv x_{k-1}, l_k equiv l_{k-1}$ (shift the upper bound down).
If $f(x_{k-1}) > x_{k-1}$, define $u_k equiv u_{k-1}, l_k equiv x_{k-1}$ (shift the lower bound up)
(And if $f(x_{k-1}) = x_{k-1}$ we are done, so we can ignore this case).
This part is kind of like the intermediate value theorem, where we keep narrowing the search for our target.
The set $f([l_k, u_k])$ is in the square $[l_k, u_k]times[l_k, u_k]$. (Using induction and $f$ is increasing. It's kind of clear if you draw a picture.)
For any $k$, the square $[l_k, u_k]times[l_k, u_k]$ intersects the diagonal line ${ (x, x )}$ since it contains $(l_k, l_k)$, so if the sequence of nested squares converges, it converges to a point on the diagonal.
But it does converge, since $[l_k, u_k]$ converges to some singleton set ${ c }$.
Putting it all together, $forall k, f(c) in f([l_k, u_k]) subset [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in cap_k [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in { (c, c) }$.
$ f(c) = c $.
$endgroup$
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
add a comment |
$begingroup$
Start by defining the sequences $l_n, u_n$, where the variable names stand for "lower" and "upper". And let $x_n equiv (l_n + u_n)/2$.
$l_0 equiv 0, u_0 equiv 1$
Now inductively define $l_k, u_k$:
If $f(x_{k-1}) lt x_{k-1}$, define $u_k equiv x_{k-1}, l_k equiv l_{k-1}$ (shift the upper bound down).
If $f(x_{k-1}) > x_{k-1}$, define $u_k equiv u_{k-1}, l_k equiv x_{k-1}$ (shift the lower bound up)
(And if $f(x_{k-1}) = x_{k-1}$ we are done, so we can ignore this case).
This part is kind of like the intermediate value theorem, where we keep narrowing the search for our target.
The set $f([l_k, u_k])$ is in the square $[l_k, u_k]times[l_k, u_k]$. (Using induction and $f$ is increasing. It's kind of clear if you draw a picture.)
For any $k$, the square $[l_k, u_k]times[l_k, u_k]$ intersects the diagonal line ${ (x, x )}$ since it contains $(l_k, l_k)$, so if the sequence of nested squares converges, it converges to a point on the diagonal.
But it does converge, since $[l_k, u_k]$ converges to some singleton set ${ c }$.
Putting it all together, $forall k, f(c) in f([l_k, u_k]) subset [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in cap_k [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in { (c, c) }$.
$ f(c) = c $.
$endgroup$
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
add a comment |
$begingroup$
Start by defining the sequences $l_n, u_n$, where the variable names stand for "lower" and "upper". And let $x_n equiv (l_n + u_n)/2$.
$l_0 equiv 0, u_0 equiv 1$
Now inductively define $l_k, u_k$:
If $f(x_{k-1}) lt x_{k-1}$, define $u_k equiv x_{k-1}, l_k equiv l_{k-1}$ (shift the upper bound down).
If $f(x_{k-1}) > x_{k-1}$, define $u_k equiv u_{k-1}, l_k equiv x_{k-1}$ (shift the lower bound up)
(And if $f(x_{k-1}) = x_{k-1}$ we are done, so we can ignore this case).
This part is kind of like the intermediate value theorem, where we keep narrowing the search for our target.
The set $f([l_k, u_k])$ is in the square $[l_k, u_k]times[l_k, u_k]$. (Using induction and $f$ is increasing. It's kind of clear if you draw a picture.)
For any $k$, the square $[l_k, u_k]times[l_k, u_k]$ intersects the diagonal line ${ (x, x )}$ since it contains $(l_k, l_k)$, so if the sequence of nested squares converges, it converges to a point on the diagonal.
But it does converge, since $[l_k, u_k]$ converges to some singleton set ${ c }$.
Putting it all together, $forall k, f(c) in f([l_k, u_k]) subset [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in cap_k [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in { (c, c) }$.
$ f(c) = c $.
$endgroup$
Start by defining the sequences $l_n, u_n$, where the variable names stand for "lower" and "upper". And let $x_n equiv (l_n + u_n)/2$.
$l_0 equiv 0, u_0 equiv 1$
Now inductively define $l_k, u_k$:
If $f(x_{k-1}) lt x_{k-1}$, define $u_k equiv x_{k-1}, l_k equiv l_{k-1}$ (shift the upper bound down).
If $f(x_{k-1}) > x_{k-1}$, define $u_k equiv u_{k-1}, l_k equiv x_{k-1}$ (shift the lower bound up)
(And if $f(x_{k-1}) = x_{k-1}$ we are done, so we can ignore this case).
This part is kind of like the intermediate value theorem, where we keep narrowing the search for our target.
The set $f([l_k, u_k])$ is in the square $[l_k, u_k]times[l_k, u_k]$. (Using induction and $f$ is increasing. It's kind of clear if you draw a picture.)
For any $k$, the square $[l_k, u_k]times[l_k, u_k]$ intersects the diagonal line ${ (x, x )}$ since it contains $(l_k, l_k)$, so if the sequence of nested squares converges, it converges to a point on the diagonal.
But it does converge, since $[l_k, u_k]$ converges to some singleton set ${ c }$.
Putting it all together, $forall k, f(c) in f([l_k, u_k]) subset [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in cap_k [l_k, u_k]times[l_k, u_k]$.
$ f([c]) in { (c, c) }$.
$ f(c) = c $.
edited Jan 27 at 17:29
answered Jan 27 at 17:12
MarkMark
2,09232450
2,09232450
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
add a comment |
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
I read your comment on @Surb answer. Of course some "real analysis" must be necessary. For if the domain is not complete (an interval), then the statement isn't true anymore. I added a counterexample in my answer. Do you agree?
$endgroup$
– Matteo
Jan 28 at 19:12
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
$begingroup$
@Matteo yes the only requirement is that the set in question is a complete lattice. After after that, the tarski fixed point theorem applies a purely logical argument.
$endgroup$
– Mark
Jan 29 at 3:30
add a comment |
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$begingroup$
What have you tried so far?
$endgroup$
– Matteo
Jan 27 at 15:44
$begingroup$
I tried copying the IVT but could not connect it with an increasing function
$endgroup$
– The Poor Jew
Jan 27 at 15:46
1
$begingroup$
I think you can apply squeeze theorem after doing binary search
$endgroup$
– Mark
Jan 27 at 15:47
$begingroup$
For the function to be increasing, $[0,1]$ being it's range, isn't it necessary to have $f(0) = 0$? Forgive me if I'm mistaken.
$endgroup$
– Matteo
Jan 27 at 15:54
$begingroup$
@Matteo The function need not be surjective. It could be the constant function equal to $1$, for all we know.
$endgroup$
– Clement C.
Jan 27 at 16:10