2.10 Monotone and Inverse functions
Definition 2.10.1. Let \(A\subseteq \mathbb {R}\). We say that a function \(f:\, A\longrightarrow \mathbb {R}\) is increasing on \(A\) if whenever \(x_1,\, x_2\in A\) and \(x_1 < x_2\) then \(f(x_1) \leq f(x_2)\). The
function is strictly increasing on \(A\) if whenever \(x_1,\, x_2\in A\) and \(x_1 < x_2\) then \(f(x_1) < f(x_2)\).
Definition 2.10.2. Let \(A\subseteq \mathbb {R}\). We say that a function \(f:\, A\longrightarrow \mathbb {R}\) is decreasing on \(A\) if whenever \(x_1,\, x_2 \in A\) and \(x_1 < x_2\) then \(f(x_1) \geq f(x_2)\).
The function is strictly decreasing on \(A\) if whenever \(x_1,\, x_2\in A\) and \(x_1 < x_2\) then \(f(x_1) > f(x_2)\).
Definition 2.10.3. A function which is either increasing or decreasing on \(A\) is said to be
monotone on \(A\).
The function is strictly monotone on \(A\) if it is either strictly increasing or strictly decreasing on
\(A\).
Theorem 2.10.4. Let \(I\subseteq \mathbb {R}\) be an interval and let \(f:\, I \longrightarrow \mathbb {R}\) be increasing on \(I\). Suppose that \(C\in I\) is not an end pint of \(I\). Then
- (i).
- \(\displaystyle {\lim _{x\rightarrow c^-}f = \sup \big \{f(x):\, x\in I\, , \, x<c\big \}}\)
- (ii).
- \(\displaystyle {\lim _{x\rightarrow c^+}f = \inf \big \{f(x):\, x\in I\, , \, x>c\big \}}\)
Proof. We first note that if \(x\in I\) and \(x<c\) then \(f(x) \leq f(c)\). Thus the set \(\big \{f(x):\, x\in I\, ,\, x < c\big \}\) is bounded above by \(f(c)\) and is non-empty
since \(c\) is not an end point of \(I\). Hence supremum exists for the set \(\big \{f(x):\, x\in I\,,\, x < c\big \}\). Let this supremum be \(L\). If \(\varepsilon > 0\) is
given then \(L- \varepsilon \) is not an upper bound of this set. Hence there exists \(y_{\varepsilon }\in I,\, y_{\varepsilon } < c\) such that \(L - \varepsilon < f(y_{\varepsilon }) \leq L\). Since \(f\) is increasing,
we deduce that if \(\delta (\varepsilon ) = c- y_{\varepsilon }\) and if \(0 < c - y < \delta (\varepsilon )\) then \(y_{\varepsilon } < y < c\) so that \(L-\varepsilon < f(y_{\varepsilon }) \leq f(y) \leq L\). Therefore \(\begin {vmatrix} f(y) - L\\ \end {vmatrix} < \varepsilon \) whenever \(0 < c - y < \delta (\varepsilon )\). Since \(\varepsilon > 0\) is arbitrary, we conclude
that \(\displaystyle {\lim _{x\rightarrow c^-}f = \sup \big \{f(x):\, x\in I\, , \, x<c\big \}}\).
Prove (ii) in a similar way.
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Corollary 2.10.5. Let \(I\subseteq \mathbb {R}\) be an interval and let \(f:\, I \longrightarrow \mathbb {R}\) be increasing on \(I\). Suppose that \(c\in I\) is not an endpoint of \(I\), then the following statements are equivalent:
- 1.
- \(f\) is continuous at \(c\).
- 2.
- \(\displaystyle {\lim _{x\rightarrow c^-} f = f(c) = \lim _{x\rightarrow ^+} f}\)
- 3.
- \(\displaystyle {\sup \big \{f(x):\, x\in I\, , \, x<c\big \} = f(c) = \inf \big \{f(x):\, x\in I\, , \, x>c\big \}}\)
Let \(I\) be an interval and \(f:\, I\longrightarrow \mathbb {R}\) be an increasing function. If \(a\) is the left endpoint of \(I\), then \(f\) is continuous at \(a\) if
and only if \(\, f(a) = \big \{ f(x):\, x\in I\, ,\, a< x\big \}\), that is, if and only if \(f(a) = \displaystyle {\lim _{x\rightarrow a^+} \, f}\). Similarly for the right endpoint.
Proof. By the theorem the one-sided limits \[L^{-} = \lim _{x\rightarrow c^{-}}f(x) = \sup _{x<c}f(x),\qquad L^{+} = \lim _{x\rightarrow c^{+}}f(x) = \inf _{x>c}f(x)\] both exist, and monotonicity gives \(L^{-}\leq f(c)\leq L^{+}\). The function is continuous at \(c\) precisely when both one-sided limits equal \(f(c)\), that is when \(L^{-}=L^{+}\), and the jump at \(c\) is \(L^{+}-L^{-}\geq 0\). □
Definition 2.10.6. Suppose that \(I\) is an interval and \(f:\, I\longrightarrow \mathbb {R}\) is an increasing function on \(I\) and \(c\in I\) is not
an end point of \(I\). We define the jump of \(f\) at \(c\) to be
\[J_f(c) = \lim _{x\rightarrow c^+}\, f - \lim _{x\rightarrow c^-}\, f\]
Thus \(\, J_f(c) = \inf \big \{f(x):\, x\in I\, ,\, x>c\big \} - \sup \big \{f(x):\, x\in I\, , \, x < \big \}\).
The jump of \(f\) at the left endpoint \(a\) of \(I\) such that \(a\in I\) is given by \(\, J_f(a) = \displaystyle {\lim _{x\rightarrow a^+}\, f - f(a)}\,\) and that of the right endpoint \(b\in I\) is
given by \(\, J_f(b) = \displaystyle {f(b) - \lim _{x\rightarrow b^-}\, f}\,\)
Theorem 2.10.7. Let \(I\subseteq \mathbb {R}\) be an interval and let \(f:\, I\longrightarrow \mathbb {R}\) be increasing on \(I\). If \(c\in I\), then \(f\) is continuous at \(c\) if
and only if \(J_f(c) = 0\).
Recall that a function \(f:\, I\longrightarrow \mathbb {R}\) has an inverse function if and only if \(f\) is injective: that is \(x,\, y\in I\) and \(x\neq y\) implies
that \(f(x) \neq f(y)\). We note that a strictly monotone function is injective ans so has an inverse.
Proof. Let \(c\in I\) and suppose first that \(c\) is not the right endpoint. The set \(\left \{f(x) : x\in I,\ x>c\right \}\) is bounded below by \(f(c)\), since \(f\) is increasing, so it has an infimum; call it \(L\). For \(\varepsilon >0\) there is \(x_1>c\) in \(I\) with \(f(x_1)<L+\varepsilon \), and then for every \(x\) with \(c<x<x_1\) monotonicity gives \[L \leq f(x) \leq f(x_1) < L+\varepsilon .\] Taking \(\delta = x_1-c\) shows \(\lim _{x\rightarrow c^{+}}f(x) = L\). The left-hand limit is the supremum of \(\left \{f(x):x<c\right \}\) by the same argument reversed. □
Remark. A monotone function therefore has one-sided limits everywhere, so its only possible discontinuities are jumps — the two one-sided limits exist but differ. Since each jump contains a distinct rational, a monotone function has at most countably many discontinuities. That is a strong conclusion from a weak hypothesis, and it is why monotonicity is worth checking for.
Theorem 2.10.8 (Continuous Inverse Theorem). Let \(I\subseteq \mathbb {R}\) be an interval and let \(f:\, I\longrightarrow \mathbb {R}\) be strictly
monotone and continuous on \(I\). Then the function \(g\) inverse of \(f\) is strictly monotone and continuous
on \(J = f(I)\).
Proof. We consider the case \(f\) is strictly increasing. Since \(f\) is continuous and \(I\) is an interval, the
preservation of interval theorem imply that \(J = f(I)\) is an interval. Moreover since \(f\) is strictly increasing
on \(I\), it is injective on \(I\); therefore, the function \(g:\, J\longrightarrow \mathbb {R}\) inverse to \(f\) exists. We claim that \(g\) is strictly
increasing. To see this, suppose that \(y_1,\, y_2\in J\) with \(y_1 < y_2\), then \(y_1 = f(x_1)\) and \(y_2 = f(x_2)\) for some \(x_1\, ,\, x_2\in I\). We must have \(x_1 <x_2\), otherwise \(x_1\geq x_2\)
which implies that \(y_1 = f(x_1) \geq f(x_2)=y_2\). i.e \(y_1 \geq y_2\) which is a contradiction since \(y_1 < y_2\) by assumption. Therefore \(g(y_1) = x_1 < x_2 = g(y_2)\). i.e \(g(y_1) < g(y_2)\) showing
that \(g\) is increasing. Proving the claim.
Since \(y_1\) and \(y_2\) are arbitrary elements of \(J\) with \(y_1 < y_2\), we conclude that \(g\) is strictly increasing on \(J\). The
fact that \(g\) is continuous on \(J\) is a consequence of the fact that \(g(I) = I\) is an interval. Indeed, \(c\in J\), then the
jump of \(g\) at \(c\) is nonzero so that \(\displaystyle {\lim _{y\rightarrow c^-}\, g < \lim _{y\rightarrow c^+}\, g}\).
If we chose any number \(x\neq g(c)\) with \(\displaystyle {\lim _{y\rightarrow c^-}\, g < x < \lim _{y\rightarrow c^+}\, g}\,\) then \(x\) has the property that \(x\neq g(y)\) for any \(y\in J\). Hence \(x\not \in I\) contradicting \(I\) being
an interval. Therefore we conclude that \(g\) is continuous on \(J\).
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