Concave + convex = affine?

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A function $f$ is concave on $[a,b]$ if $$f((1-\lambda)a+\lambda b) \ge (1-\lambda)f(a) + \lambda f(b),\quad \forall \lambda\in[0,1]$$ and similarly $f$ is convex if $$f((1-\lambda)a+\lambda b) \le (1-\lambda)f(a) + \lambda f(b),\quad \forall \lambda\in[0,1]$$

Then it's clear that $f$ is concave and convex if $$f((1-\lambda)a+\lambda b) = (1-\lambda)f(a) + \lambda f(b),\quad \forall \lambda\in[0,1]$$

But then I'm told that this is equivalent to $f$ being affine. That is that $f(x) = \alpha + \beta x$ for some constants $\alpha, \beta$. How can I prove this from the above?

All I'm getting by setting $(1-\lambda)a+\lambda b=x$ in the equation above is $$f(x) = (1-\lambda)f(\frac{x-\lambda b}{1-\lambda})+\lambda f(\frac{x-(1-\lambda a)}{\lambda})$$ which I don't seem to be able to get into the form $\alpha +\beta x$.

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You are on the right track. Set $x=\lambda a+(1-\lambda )b$. Note that $x\in [a,b]$. Furthermore, note that $\lambda=\frac{x-b}{a-b}$.

Now, we have $f(\lambda a+(1-\lambda)b)=f(x)$ and

$$\lambda f(a)+(1-\lambda)f(b)=\frac{bf(a)-af(b)}{b-a}+\left(\frac{f(b)-f(a)}{b-a}\right)\,x$$

which reveals that $f$ is indeed affine on $[a,b]$ as was to be shown!