Pathological (mathematics)

The Weierstrass function is continuous everywhere but differentiable nowhere.

In mathematics, a pathological phenomenon is one whose properties are considered atypically bad or counterintuitive; the opposite is well-behaved. A notable case is the Alexander horned sphere, a counterexample showing that topologically embedding the sphere S² in R³ may fail to "separate the space cleanly", unless an extra condition of tameness is used to suppress possible wild behaviour. See Jordan-Schönflies theorem.

Pathological functions

A classic example is the Weierstrass function, which is continuous everywhere but differentiable nowhere. The sum of a differentiable function and the Weierstrass function is again continuous but nowhere differentiable; so there are at least as many such functions as differentiable functions. In fact, by the Baire category theorem one can show that continuous functions are typically or generically nowhere differentiable.

In layman's terms, this is because of the great number of possible functions; the majority are nowhere differentiable, and relatively few can ever be described and studied, of which most that are interesting or useful also turn out to be well-behaved. To quote Henri Poincaré:

Logic sometimes makes monsters. For half a century we have seen a mass of bizarre functions which appear to be forced to resemble as little as possible honest functions which serve some purpose. More of continuity, or less of continuity, more derivatives, and so forth. Indeed, from the point of view of logic, these strange functions are the most general; on the other hand those which one meets without searching for them, and which follow simple laws appear as a particular case which does not amount to more than a small corner.

In former times when one invented a new function it was for a practical purpose; today one invents them purposely to show up defects in the reasoning of our fathers and one will deduce from them only that.

If logic were the sole guide of the teacher, it would be necessary to begin with the most general functions, that is to say with the most bizarre. It is the beginner that would have to be set grappling with this teratologic museum.

— Henri Poincaré, 1899

This highlights the fact that the term pathological is subjective or at least context-dependent, and its meaning in any particular case resides in the community of mathematicians, not necessarily within the subject matter of mathematics itself.

Prevalence

In cases of pathology, often "most" or "almost all" examples of a phenomenon are pathological, which is formalized by measures of size such as cardinality, measure (almost everywhere), probability (almost surely), or a generic property. For example, the set of rational numbers is countable (and has measure zero, and is a meagre set), but the set of irrational numbers is uncountable (and has full measure, and is a comeagre set): "almost all" real numbers are irrational, in these senses. In this case, pathologies are not the rare exceptions but the most common.

Well-behaved

Mathematicians (and those in related sciences) very frequently speak of whether a mathematical object—a function, a set, a space of one sort or another—is "well-behaved". The term has no fixed formal definition, and is dependent on context, mathematical interests, fashion, and taste. To ensure that an object is "well-behaved" mathematicians introduce further axioms to narrow down the domain of study. This has the benefit of making analysis easier, but cuts down on the generality of any conclusions reached. Concepts like non-Euclidean geometry were once considered ill-behaved, but are now common objects of study.

In both pure and applied mathematics (optimization, numerical integration, or mathematical physics, for example), well-behaved also means not violating any assumptions needed to successfully apply whatever analysis is being discussed.

The opposite case is usually labeled pathological. It is not unusual to have situations in which most cases (in terms of cardinality or measure) are pathological, but the pathological cases will not arise in practice unless constructed deliberately.

The term "well-behaved" is generally applied in an absolute sense—either something is well-behaved or it is not. For example:

• In algorithmic inference, a well-behaved statistic is monotonic, well-defined, and sufficient.
• In Bézout's theorem, two polynomials are well-behaved, and thus the formula given by the theorem for the number of their intersections is valid, if their polynomial greatest common divisor is a constant.
• A meromorphic function is a ratio of two well-behaved functions, in the sense of those two functions being holomorphic.
• The Karush–Kuhn–Tucker conditions are first-order necessary conditions for a solution in a well-behaved nonlinear programming problem to be optimal; a problem is referred to as well-behaved if some regularity conditions are satisfied.
• In probability, events contained in the probability space's corresponding sigma-algebra are well-behaved, as are measurable functions.

Unusually, the term could also be applied in a comparative sense:

• In calculus:
  • Analytic functions are better-behaved than general smooth functions.
  • Smooth functions are better-behaved than general differentiable functions.
  • Continuous differentiable functions are better-behaved than general continuous functions. The larger the number of times the function can be differentiated, the more well-behaved it is.
  • Continuous functions are better-behaved than Riemann-integrable functions on compact sets.
  • Riemann-integrable functions are better-behaved than Lebesgue-integrable functions.
  • Lebesgue-integrable functions are better-behaved than general functions.
• In topology, continuous functions are better-behaved than discontinuous ones.
  • Euclidean space is better-behaved than non-Euclidean geometry.
  • Attractive fixed points are better-behaved than repulsive fixed points.
  • Hausdorff topologies are better-behaved than those in arbitrary general topology.
  • Borel sets are better-behaved than arbitrary sets of real numbers.
  • Spaces with integer dimension are better-behaved than spaces with fractal dimension.
  • Finite-dimensional vector spaces are better-behaved than infinite-dimensional ones.
• In abstract algebra:
  • Fields are better-behaved than skew fields or general rings.
  • Separable field extensions are better-behaved than non-separable ones.
  • Normed division algebras are better-behaved than general composition algebras.

Pathological examples

Pathological examples often have some undesirable or unusual properties that make it difficult to contain or explain within a theory. Such pathological behaviour often prompts new investigation which leads to new theory and more general results. For example, some important historical examples of this are the following:

• The discovery of irrational numbers by the school of Pythagoras in ancient Greece; for example, the length of the diagonal of a unit square, that is $\sqrt{2}$
• The cardinality of the rational numbers is equal to the cardinality of the integers.
• Some number fields have rings of integers that do not form a unique factorization domain, for example the field $\mathbb{Q}(\sqrt{-5})$.
• The discovery of fractals and other "rough" geometric objects (see Hausdorff dimension).
• Weierstrass function, a real-valued function on the real line, that is continuous everywhere but differentiable nowhere.
• Test functions in real analysis and distribution theory, which are infinitely differentiable functions on the real line that are 0 everywhere outside of a given limited interval. An example of such a function is the test function,

$\varphi(t) = \left\{\begin{array}{cc}e^{-\frac{1}{1-t^2}},&-1<t<1\\0,&\text{otherwise}\end{array}\right.$

• The Cantor set is a subset of the interval [0, 1] that has measure zero but is uncountable.
• The Peano space-filling curve is a continuous surjective function that maps the unit interval [0, 1] onto [0, 1] × [0, 1].
• The Dirichlet function, which is the indicator function for rationals, is a bounded function that is not Riemann integrable.
• The Cantor function is a monotonic continuous surjective function that maps [0,1] onto [0,1] but has zero derivative almost everywhere.
• Satisfaction classes containing "intuitively false" arithmetical statements can be constructed for countable, recursively saturated models of Peano arithmetic.

At the time of their discovery, each of these was considered highly pathological; today, each has been assimilated into modern mathematical theory. These examples prompt their observers to correct their beliefs or intuitions; sometimes they may even necessitate a reassessment of foundational definitions and concepts. Over the course of history, they have led to more correct, more precise, and more powerful mathematics. For example, the Dirichlet function is Lebesgue integrable, and convolution with test functions is used to approximate any locally integrable function by smooth functions. (The approximations converge almost everywhere and in the space of locally integrable functions.)

Whether a behavior is pathological is by definition subject to personal intuition. Pathologies depend on context, training, and experience—what is pathological to one researcher may very well be standard behaviour to another.

Pathological examples can show the importance of the assumptions in a theorem. For example, in statistics, the Cauchy distribution does not satisfy the central limit theorem, even though its symmetric bell-shape appears similar to many distributions which do; it fails the requirement to have a mean and standard deviation which exist and are finite.

Some of the best-known paradoxes such as the Banach–Tarski paradox and Hausdorff paradox are based on the existence of non-measurable sets. Mathematicians, unless they take the minority position of denying the axiom of choice, are in general resigned to living with such sets.

Computer science

In computer science, pathological has a slightly different sense with regard to the study of algorithms. Here, an input (or set of inputs) is said to be pathological if it causes atypical behavior from the algorithm, such as a violation of its average case complexity, or even its correctness. For example, hash tables generally have pathological inputs: sets of keys that collide on hash values. Quicksort normally has O(n log n) time complexity, but deteriorates to O(n²) when given input that triggers suboptimal behaviour.

The term is often used pejoratively, as a way of dismissing such inputs as being specially designed to break a routine that is otherwise sound in practice (compare with Byzantine). On the other hand, awareness of pathological inputs is important as they can be exploited to mount a denial-of-service attack on a computer system. Also, the term in this sense is a matter of subjective judgment as with its other senses. Given enough run time, a sufficiently large and diverse user community, or other factors, an input which may be dismissed as pathological could in fact occur (as seen in the first test flight of the Ariane 5).

Exceptions

A similar but distinct phenomenon is that of exceptional objects (and exceptional isomorphisms), which occurs when there are a "small" number of exceptions to a general pattern – quantitatively, a finite set of exceptions to an otherwise infinite rule. By contrast, in cases of pathology, often most or almost all instances of a phenomenon are pathological, as discussed in prevalence, above – e.g., almost all real numbers are irrational.

Subjectively, exceptional objects (such as the icosahedron or sporadic simple groups) are generally considered "beautiful", unexpected examples of a theory, while pathological phenomena are often considered "ugly", as the name implies. Accordingly, theories are usually expanded to include exceptional objects – for example, the exceptional Lie algebras are included in the theory of semisimple Lie algebras: the axioms are seen as good, the exceptional objects as unexpected but valid. By contrast, pathological examples are instead taken to point out a shortcoming in the axioms, requiring stronger axioms to rule them out – for example, requiring tameness of an embedding of a sphere in the Schönflies problem. One may study the more general theory, including the pathologies, which may provide its own simplifications (the real numbers have properties very different from the rationals, and likewise continuous maps have very different properties from smooth ones), but will also in general study the narrower theory from which the original examples were drawn.

External links

• Pathological Structures & Fractals – Extract of an article by Freeman Dyson, "Characterising Irregularity", Science, May 1978

This article incorporates material from pathological on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.