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    Differentiation

    Fermat’s theorem: if \(f\colon(a,b)\to\RR\) has a local extremum at \(c\) and is differentiable at \(c\), then \(f'(c)=0\). The mean value theorem: if \(f\) is continuous on \([a,b]\) and differentiable on \((a,b)\), then \(f(b)-f(a)=f'(c)(b-a)\) for some \(c\in(a,b)\). Taylor’s theorem: if \(f^{(n)}\) is continuous on \([a,b]\) and \(f^{(n+1)}\) exists on \((a,b)\), then \(f(b)=\sum_{k=0}^{n}\frac{f^{(k)}(a)}{k!}(b-a)^k+\frac{f^{(n+1)}(c)}{(n+1)!}(b-a)^{n+1}\) for some \(c\in(a,b)\). A function of bounded variation on \([a,b]\) is the difference of two increasing functions, and is therefore differentiable almost everywhere; functions of bounded variation are the integrators of Riemann–Stieltjes integration.

    Fermat's stationary-point theorem

    A differentiable interior extremum has zero derivative.Suggest a slogan

    Let \(a<b\), let \(f\colon[a,b]\to\RR\), and let \(c\in(a,b)\). If \(f\) has a local maximum or a local minimum at \(c\) and \(f\) is differentiable at \(c\), then \(f'(c)=0\). [@Rud76].

    Mean value theorem

    Some tangent slope equals the secant slope across the interval.Suggest a slogan

    Let \(a<b\) and let \(f\colon[a,b]\to\RR\) be continuous on \([a,b]\) and differentiable on \((a,b)\). Then there exists \(\xi\in(a,b)\) such that \[ \frac{f(b)-f(a)}{b-a}=f'(\xi). \] [@Rud76].

    Mean value theorem and Cauchy's mean value theorem

    Some interior derivative realizes the secant slope; Cauchy gives the two-function version.Suggest a slogan

    Let \(a<b\) and let \(f\colon [a, b] \to \RR\) be continuous on \([a,b]\) and differentiable on \((a, b)\).

    1. There exists \(\xi \in (a, b)\) such that \[ f(b) - f(a) = f'(\xi)(b-a). \]

    2. If \(g\colon [a,b]\to \RR\) is also continuous on \([a, b]\) and differentiable on \((a, b)\), then there exists \(\xi\in(a,b)\) such that \[ \qty{ f(b) - f(a) } g'(\xi) = \qty{g(b) - g(a)} f'(\xi). \] [@Rud76].

    Geometrically, (2) says that the plane curve \(t\mapsto(f(t),g(t))\), \(t\in[a,b]\), has a tangent vector \((f'(\xi),g'(\xi))\) at some interior parameter \(\xi\) that is parallel to the chord from \((f(a),g(a))\) to \((f(b),g(b))\).

    Taylor's theorem with Lagrange remainder

    Taylor error is the next derivative at an intermediate point times the next power divided by the next factorial.Suggest a slogan

    Let \(a<b\), \(n\geq0\), and \(c\in[a,b]\). Suppose \(f\colon[a,b]\to\RR\) is \(n\) times continuously differentiable on \([a,b]\) and \(f^{(n+1)}\) exists on \((a,b)\). Let \[ P_n(x)\coloneqq\sum_{k=0}^{n}\frac{f^{(k)}(c)}{k!}(x-c)^k =f(c)+f'(c)(x-c)+\cdots+\frac{f^{(n)}(c)}{n!}(x-c)^n . \] Then for every \(x\in[a,b]\) with \(x\neq c\) there exists \(\xi\) strictly between \(c\) and \(x\) such that \[ f(x)=P_n(x)+\frac{f^{(n+1)}(\xi)}{(n+1)!}(x-c)^{n+1}. \] In particular, if \(M\geq0\) and \(\abs{f^{(n+1)}(t)}\leq M\) for all \(t\in(a,b)\), then \[ \abs{f(x)-P_n(x)}\leq\frac{M\abs{x-c}^{n+1}}{(n+1)!}\quad\text{for all } x\in[a,b]. \] [@Rud76].

    Taylor remainders in Lagrange, Cauchy, and integral form

    The Taylor remainder $R_n(x)$ equals an $n$th-derivative term at an intermediate point in Lagrange and Cauchy form, and an integral of $f^{(n)}$ when $f^{(n)}$ is continuous.Suggest a slogan

    Let \(n\geq1\), \(p\in\RR\), \(\delta>0\), and let \(f\colon(p-\delta,p+\delta)\to\RR\) be \(n\) times differentiable. For \(x\in(p-\delta,p+\delta)\) put \[ R_n(x)\coloneqq f(x)-\sum_{k=0}^{n-1} \frac{f^{(k)}(p)}{k!}(x-p)^k . \] Let \(x\in(p-\delta,p+\delta)\) with \(x\neq p\).

    1. (Lagrange form) There exists \(\xi\) strictly between \(p\) and \(x\) such that \[ R_n(x)=\frac{f^{(n)}(\xi)}{n!}(x-p)^n . \]

    2. (Cauchy form) There exists \(\eta\) strictly between \(p\) and \(x\) such that \[ R_n(x)=\frac{f^{(n)}(\eta)}{(n-1)!}(x-\eta)^{n-1}(x-p) . \]

    3. (Integral form) If moreover \(f^{(n)}\) is continuous on \((p-\delta,p+\delta)\), then \[ R_n(x)=\int_p^x \frac{f^{(n)}(t)}{(n-1)!}(x-t)^{n-1}\,dt . \]

    Part 1 is in [@Rud76].

    A differentiable function on an interval is Lipschitz if and only if its derivative is bounded

    A differentiable function on an interval is Lipschitz exactly when its derivative is bounded, and the best constant is $\sup\abs{f^\prime}$.Suggest a slogan

    Let \(I\subseteq\RR\) be an interval with nonempty interior and let \(f\colon I\to\RR\) be differentiable. Then \(f\) is Lipschitz, that is, there is \(C\geq0\) with \(\abs{f(x)-f(y)}\leq C\abs{x-y}\) for all \(x,y\in I\), if and only if \(f'\) is bounded on \(I\). In that case the smallest such constant is \(C=\sup_{x\in I}\abs{f'(x)}\).

    A Lipschitz function need not be differentiable: \(x\mapsto\abs{x}\) on \((-1,1)\) satisfies \(\abs{\abs x-\abs y}\leq\abs{x-y}\) and is not differentiable at \(0\).

    The interval hypothesis is needed: on \(U\coloneqq(0,1)\cup(1,2)\), the function \(f\coloneqq\chi_{(1,2)}\) is differentiable with \(f'=0\), but \(\abs{f(1+\delta)-f(1-\delta)}=1\) for \(0<\delta<1\), so \(f\) is not Lipschitz on \(U\).