Rigidity (mathematics)
In mathematics, a rigid collection C of mathematical objects (for instance sets or functions) is one in which every c ∈ C is uniquely determined by less information about c than one would expect. The above statement does not define a mathematical property; instead, it describes in what sense the adjective "rigid" is typically used in mathematics, by mathematicians.
ExamplesEdit
Some examples include:
- Harmonic functions on the unit disk are rigid in the sense that they are uniquely determined by their boundary values.
- Holomorphic functions are determined by the set of all derivatives at a single point. A smooth function from the real line to the complex plane is not, in general, determined by all its derivatives at a single point, but it is if we require additionally that it be possible to extend the function to one on a neighbourhood of the real line in the complex plane. The Schwarz lemma is an example of such a rigidity theorem.
- By the fundamental theorem of algebra, polynomials in C are rigid in the sense that any polynomial is completely determined by its values on any infinite set, say N, or the unit disk. By the previous example, a polynomial is also determined within the set of holomorphic functions by the finite set of its non-zero derivatives at any single point.
- Linear maps L(X, Y) between vector spaces X, Y are rigid in the sense that any L ∈ L(X, Y) is completely determined by its values on any set of basis vectors of X.
- Mostow's rigidity theorem, which states that the geometric structure of negatively curved manifolds is determined by their topological structure.
- A well-ordered set is rigid in the sense that the only (order-preserving) automorphism on it is the identity function. Consequently, an isomorphism between two given well-ordered sets will be unique.
- Cauchy's theorem on geometry of convex polytopes states that a convex polytope is uniquely determined by the geometry of its faces and combinatorial adjacency rules.
- Alexandrov's uniqueness theorem states that a convex polyhedron in three dimensions is uniquely determined by the metric space of geodesics on its surface.
- Rigidity results in K-theory show isomorphisms between various algebraic K-theory groups.
- Rigid groups in the inverse Galois problem.
Combinatorial useEdit
In combinatorics, the term rigid is also used to define the notion of a rigid surjection, which is a surjection <math>f: n \to m</math> for which the following equivalent conditions hold:<ref>Template:Cite journal</ref>
- For every <math>i, j \in m</math>, <math>i < j \implies \min f^{-1}(i) < \min f^{-1}(j)</math>;
- Considering <math>f</math> as an <math>n</math>-tuple <math>\big( f(0), f(1), \ldots, f(n-1) \big)</math>, the first occurrences of the elements in <math>m</math> are in increasing order;
- <math>f</math> maps initial segments of <math>n</math> to initial segments of <math>m</math>.
This relates to the above definition of rigid, in that each rigid surjection <math>f</math> uniquely defines, and is uniquely defined by, a partition of <math>n</math> into <math>m</math> pieces. Given a rigid surjection <math>f</math>, the partition is defined by <math>n = f^{-1}(0) \sqcup \cdots \sqcup f^{-1}(m-1)</math>. Conversely, given a partition of <math>n = A_0 \sqcup \cdots \sqcup A_{m-1}</math>, order the <math>A_i</math> by letting <math>A_i \prec A_j \iff \min A_i < \min A_j</math>. If <math>n = B_0 \sqcup \cdots \sqcup B_{m-1}</math> is now the <math>\prec</math>-ordered partition, the function <math>f: n \to m</math> defined by <math>f(i) = j \iff i \in B_j</math> is a rigid surjection.
See alsoEdit
- Uniqueness theorem
- Structural rigidity, a mathematical theory describing the degrees of freedom of ensembles of rigid physical objects connected together by flexible hinges.
- Level structure (algebraic geometry)
ReferencesEdit
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