Singularity (mathematics)

In real analysis, singularities are either discontinuities, or discontinuities of the derivative (sometimes also discontinuities of higher order derivatives). There are four kinds of discontinuities: type I, which has two subtypes, and type II, which can also be divided into two subtypes (though usually is not).

To describe the way these two types of limits are being used, suppose that ${\displaystyle f(x)}$ is a function of a real argument ${\displaystyle x}$, and for any value of its argument, say ${\displaystyle c}$, then the left-handed limit, ${\displaystyle f(c^{-})}$, and the right-handed limit, ${\displaystyle f(c^{+})}$, are defined by:

${\displaystyle f(c^{-})=\lim _{x\to c}f(x)}$, constrained by ${\displaystyle x<c}$ and

${\displaystyle f(c^{+})=\lim _{x\to c}f(x)}$, constrained by ${\displaystyle x>c}$.

The value ${\displaystyle f(c^{-})}$ is the value that the function ${\displaystyle f(x)}$ tends towards as the value ${\displaystyle x}$ approaches ${\displaystyle c}$ from below, and the value ${\displaystyle f(c^{+})}$ is the value that the function ${\displaystyle f(x)}$ tends towards as the value ${\displaystyle x}$ approaches ${\displaystyle c}$ from above, regardless of the actual value the function has at the point where ${\displaystyle x=c}$ .

There are some functions for which these limits do not exist at all. For example, the function

${\displaystyle g(x)=\sin \left({\frac {1}{x}}\right)}$

does not tend towards anything as ${\displaystyle x}$ approaches ${\displaystyle c=0}$. The limits in this case are not infinite, but rather undefined: there is no value that ${\displaystyle g(x)}$ settles in on. Borrowing from complex analysis, this is sometimes called an essential singularity.

The possible cases at a given value ${\displaystyle c}$ for the argument are as follows.

• A point of continuity is a value of ${\displaystyle c}$ for which ${\displaystyle f(c^{-})=f(c)=f(c^{+})}$, as one expects for a smooth function. All the values must be finite. If ${\displaystyle c}$ is not a point of continuity, then a discontinuity occurs at ${\displaystyle c}$.
• A type I discontinuity occurs when both ${\displaystyle f(c^{-})}$ and ${\displaystyle f(c^{+})}$ exist and are finite, but at least one of the following three conditions also applies:
  • ${\displaystyle f(c^{-})\neq f(c^{+})}$;
  • ${\displaystyle f(x)}$ is not defined for the case of ${\displaystyle x=c}$; or
  • ${\displaystyle f(c)}$ has a defined value, which, however, does not match the value of the two limits.

  Type I discontinuities can be further distinguished as being one of the following subtypes:

  • A jump discontinuity occurs when ${\displaystyle f(c^{-})\neq f(c^{+})}$, regardless of whether ${\displaystyle f(c)}$ is defined, and regardless of its value if it is defined.
  • A removable discontinuity occurs when ${\displaystyle f(c^{-})=f(c^{+})}$, also regardless of whether ${\displaystyle f(c)}$ is defined, and regardless of its value if it is defined (but which does not match that of the two limits).
• A type II discontinuity occurs when either ${\displaystyle f(c^{-})}$ or ${\displaystyle f(c^{+})}$ does not exist (possibly both). This has two subtypes, which are usually not considered separately:
  • An infinite discontinuity is the special case when either the left hand or right hand limit does not exist, specifically because it is infinite, and the other limit is either also infinite, or is some well defined finite number. In other words, the function has an infinite discontinuity when its graph has a vertical asymptote.
  • An essential singularity is a term borrowed from complex analysis (see below). This is the case when either one or the other limits ${\displaystyle f(c^{-})}$ or ${\displaystyle f(c^{+})}$ does not exist, but not because it is an infinite discontinuity. Essential singularities approach no limit, not even if valid answers are extended to include ${\displaystyle \pm \infty }$.

In real analysis, a singularity or discontinuity is a property of a function alone. Any singularities that may exist in the derivative of a function are considered as belonging to the derivative, not to the original function.

In complex analysis, there are several classes of singularities. These include the isolated singularities, the nonisolated singularities, and the branch points.

The reciprocal function, exhibiting hyperbolic growth.

A finite-time singularity occurs when one input variable is time, and an output variable increases towards infinity at a finite time. These are important in kinematics and Partial Differential Equations – infinites do not occur physically, but the behavior near the singularity is often of interest. Mathematically, the simplest finite-time singularities are power laws for various exponents of the form ${\displaystyle x^{-\alpha },}$ of which the simplest is hyperbolic growth, where the exponent is (negative) 1: ${\displaystyle x^{-1}.}$ More precisely, in order to get a singularity at positive time as time advances (so the output grows to infinity), one instead uses ${\displaystyle (t_{0}-t)^{-\alpha }}$ (using t for time, reversing direction to ${\displaystyle -t}$ so that time increases to infinity, and shifting the singularity forward from 0 to a fixed time ${\displaystyle t_{0}}$).

An example would be the bouncing motion of an inelastic ball on a plane. If idealized motion is considered, in which the same fraction of kinetic energy is lost on each bounce, the frequency of bounces becomes infinite, as the ball comes to rest in a finite time. Other examples of finite-time singularities include the various forms of the Painlevé paradox (for example, the tendency of a chalk to skip when dragged across a blackboard), and how the precession rate of a coin spun on a flat surface accelerates towards infinite—before abruptly stopping (as studied using the Euler's Disk toy).

Hypothetical examples include Heinz von Foerster's facetious "Doomsday's equation" (simplistic models yield infinite human population in finite time).

In algebraic geometry, a singularity of an algebraic variety is a point of the variety where the tangent space may not be regularly defined. The simplest example of singularities are curves that cross themselves. But there are other types of singularities, like cusps. For example, the equation y² − x³ = 0 defines a curve that has a cusp at the origin x = y = 0. One could define the x-axis as a tangent at this point, but this definition can not be the same as the definition at other points. In fact, in this case, the x-axis is a "double tangent."

For affine and projective varieties, the singularities are the points where the Jacobian matrix has a rank which is lower than at other points of the variety.

An equivalent definition in terms of commutative algebra may be given, which extends to abstract varieties and schemes: A point is singular if the local ring at this point is not a regular local ring.

• Catastrophe theory
• Defined and undefined
• Degeneracy (mathematics)
• Hyperbolic growth
• Pathological (mathematics)
• Singular solution
• Removable singularity