Klein–Nishina formula

Not to be confused with a fixed point where x = f(x).

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The stationary points are the red circles. In this graph, they are all relative maxima or relative minima.

In mathematics, particularly in calculus, a stationary point or critical point is a point of the domain of a differentiable function, where the derivative is zero (equivalently, the slope of the graph is zero): it is a point where the function "stops" increasing or decreasing (hence the name). For a differentiable function of several variables, a stationary or critical point is an input (one value for each variable) where all the partial derivatives are zero (equivalently, the gradient is zero).

The stationary points are easy to visualize on the graph of the function: they correspond to the points on the graph where the tangent is parallel to the x-axis. For function of two variables, they correspond to the points on the graph where the tangent plane is parallel to the xy plane.

Stationary points, critical points and turning points

The term stationary point of a function may be confused with critical point for a given projection of the graph of the function. "Critical point" is more general: a stationary point of a function corresponds to a critical point of its graph for the projection parallel to the x-axis. On the other hand, the critical points of the graph for the projection parallel to the y axis are the points where the derivative is not defined (more exactly tends to the infinity). It follows that some authors call "critical point" the critical points for any of these projections.

A turning point is a point at which the derivative changes sign.Template:Cn A turning point may be either a relative maximum or a relative minimum. If the function is differentiable, then a turning point is a stationary point; however not all stationary points are turning points. If the function is twice differentiable, the stationary points that are not turning points are horizontal inflection points. For example the function $x\mapsto x^{3}$ has a stationary point at x=0, which is also an inflection point, but is not a turning point.

Classification

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Isolated stationary points of a $C^{1}$ real valued function $f\colon \mathbb {R} \to \mathbb {R}$ are classified into four kinds, by the first derivative test:

Saddle points (coincident stationary points and inflection points). Here one is rising and one is a falling inflection point.

• a local minimum (minimal turning point or relative minimum) is one where the derivative of the function changes from negative to positive;
• a local maximum (maximal turning point or relative maximum) is one where the derivative of the function changes from positive to negative;
• a rising point of inflection (or inflexion) is one where the derivative of the function is positive on both sides of the stationary point; such a point marks a change in concavity
• a falling point of inflection (or inflexion) is one where the derivative of the function is negative on both sides of the stationary point; such a point marks a change in concavity

A point that is either a local minimum or a local maximum is called a local extremum. Similarly a point that is either a global (or absolute) maximum or a global (or absolute) minimum is called a global (or absolute) extremum. By Fermat's theorem, global extrema must occur (for a $C^{1}$ function) on the boundary or at stationary points.

Curve sketching

Template:Cubic graph special points.svg Determining the position and nature of stationary points aids in curve sketching of differentiable functions. Solving the equation f'(x) = 0 returns the x-coordinates of all stationary points; the y-coordinates are trivially the function values at those x-coordinates. The specific nature of a stationary point at x can in some cases be determined by examining the second derivative f''(x):

• If f''(x) < 0, the stationary point at x is concave down; a maximal extremum.
• If f''(x) > 0, the stationary point at x is concave up; a minimal extremum.
• If f''(x) = 0, the nature of the stationary point must be determined by way of other means, often by noting a sign change around that point.

A more straightforward way of determining the nature of a stationary point is by examining the function values between the stationary points (if the function is defined and continuous between them).

A simple example of a point of inflection is the function f(x) = x³. There is a clear change of concavity about the point x = 0, and we can prove this by means of calculus. The second derivative of f is the everywhere-continuous 6x, and at x = 0, f′′ = 0, and the sign changes about this point. So x = 0 is a point of inflection.

More generally, the stationary points of a real valued function f: Rⁿ → R are those points x₀ where the derivative in every direction equals zero, or equivalently, the gradient is zero.

Example

At x₁ we have f' (x) = 0 and f''(x) = 0. Even though f''(x) = 0, this point is not a point of inflection. The reason is that the sign of f' (x) changes from negative to positive.

At x₂, we have f' (x) $\neq$ 0 and f''(x) = 0. But, x₂ is not a stationary point, rather it is a point of inflection. This because the concavity changes from concave downwards to concave upwards and the sign of f' (x) does not change; it stays positive.

At x₃ we have f' (x) = 0 and f''(x) = 0. Here, x₃ is both a stationary point and a point of inflection. This is because the concavity changes from concave downwards to concave upwards and the sign of f' (x) does not change; it stays positive.

Assuming that f'(x) < 0, there are no distinct roots. Hence f''(x) = dy.

See also

• Optimization (mathematics)
• Fermat's theorem
• Second derivative test
• Higher-order derivative test
• Fixed point (mathematics)
• Saddle point

External links

• Inflection Points of Fourth Degree Polynomials — a surprising appearance of the golden ratio at cut-the-knot

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