Let $f: [0, \infty) \to [0, \infty)$ be continuous and strictly increasing and with $f(0) = 0$. Prove that $$\int_0^a f(x)\,dx + \int_0^b f^{-1}(x)\,dx \ge ab$$ for any $a, b > 0$, and give a condition for equality to hold.
2026-04-07 02:09:25.1775527765
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Show $\int_0^a f(x)\,dx + \int_0^b f^{-1}(x)\,dx \ge ab$ for strictly increasing function $f(x)$
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Note that $$\int_0^cf(x)\,dx+\int_0^{f(c)}f^{-1}(x)\,dx=cf(c)$$
You can think of this as the area of the rectangle with $(0,0)$ for one corner and $(c,f(c))$ for the opposite corner.
Without loss of generality, let $f(a)\le b$. Then $$\int_0^af(x)\,dx+\int_0^bf^{-1}(x)\,dx=af(a)+\int_{f(a)}^bf^{-1}(x)\,dx$$
Now since $f(x)$ is strictly increasing, we have $f^{-1}(x)>a$ for $x>f(a)$. Hence $$\int_{f(a)}^bf^{-1}(x)\,dx\ge a\left(b-f(a)\right)$$ with equality if and only if $b=f(a)$.
Putting this together, we get $$\int_0^af(x)\,dx+\int_0^bf^{-1}(x)\,dx\ge af(a)+a(b-f(a))=ab$$ with equality if and only if $b=f(a)$.
We remark that the integrals are well-defined by Theorem 6.9 of Rudin's Principles of Mathematical Analysis.
By definition, there exists a sequence of partitions $(P_n)$ of $[0, a]$ such that$$U(P_n, f) \to \int_0^a f(x)\,dx$$and sequence of partitions $(Q_n)$ of $[0, b]$ such that$$L(Q_n, f^{-1}) \to \int_0^b f^{-1}(x)\,dx.$$Let $P_n' = P_n \cap f^{-1}(Q_n)$, $\tilde{P}_n = P_n' \cap [0, a]$, $Q_n' = Q_n \cap f(P_n)$, and $\tilde{Q}_n = Q_n' \cap [0, b]$. Then $U(\tilde{P}_n, f) \le U(P_n, f)$, $L(\tilde{Q}_n, f^{-1}) \ge L(Q_n, f^{-1})$ and so we have$$U(\tilde{P}_n, f) \to \int_0^a f(x)\,dx,\text{ }L(\tilde{Q}_n, f^{-1}) \to \int_0^b f^{-1}(x)\,dx.$$Replace $P_n$ by $\tilde{P}_n$ and $Q_n$ with $\tilde{Q}_n$. Because $f$ is strictly increasing,$$U(P_n, f) = \sum_{i=1}^p f(x_i)(x_i - x_{i-1}),$$where $P_n = \{x_0, \dots, x_p\}$, and similarly,$$L(Q_n, f^{-1}) = \sum_{j=1}^q f^{-1}(y_{j-1})(y_j - y_{j-1}),$$where $Q_n = \{y_0, \dots, y_q\}$. Also,$$ab = \left(\sum_{i=1}^p (x_i - x_{i-1})\right)\left( \sum_{j=1}^q(y_j - y_{j-1})\right).$$Let $P_n' = \{x_0, \dots, x_p, \dots, x_{p'}\}$ and $Q_n' = \{y_0, \dots, y_q, \dots, y_{q'}\}$. Realizing that, we can write$$U(P_n, f) = \sum_{i=1}^p \sum_{y_j \le f(x_i)} (y_j - y_{j-1})(x_i - x_{i-1}) = \sum_{i=1}^p \sum_{y_j \le f(x_i)} (x_i - x_{i-1})(y_j - y_{j-1})$$and$$L(Q_n, f^{-1}) = \sum_{j=1}^q \sum_{x_i \le f^{-1}(y_{j-1})}(x_i - x_{i-1})(y_j - y_{j-1}) = \sum_{j=1}^q \sum_{f(x_i) < y_j} (x_i - x_{i-1})(y_j - y_{j-1}),$$we obtain $ab \le U(P_n, f) + L(Q_n, f^{-1})$ since the left-hand side involves summing over fewer terms. Taking limits gives the required identity.
When $f(a) = b$, we obtain equality because the sums are equal. To see the converse, we use an argument like the one in Exercise 6.2 of Rudin's Principles of Mathematical Analysis.
If $f(a) > b$, find a neighborhood $N$ of which this is true; one of the sums in the above argument will consist of more terms and the extra contribution will not converge to zero as this contribution is giving $\int_N (f(x) - b)\,dx > 0$. Similarly, if $f(a) < b$.