Radon's theorem is a result in convex geometry that deals with the intersection of convex sets. Specifically, it states that: **Radon's Theorem:** If a set of \( d + 2 \) points in \( \mathbb{R}^d \) is given, then it is possible to partition these points into two non-empty subsets such that the convex hulls (the smallest convex sets containing the points) of these two subsets intersect.

Monsky's theorem is a result in geometry related to the dissection of polygons. It states that it is impossible to dissect a square into a finite number of pieces, each of which is congruent to a given triangle with an odd area.

The Krein–Milman theorem is a fundamental result in convex analysis and functional analysis, particularly dealing with convex sets in the context of topological vector spaces. The theorem essentially provides a characterization of convex compact sets.

Kirchberger's theorem pertains to the field of mathematics, specifically in the area of graph theory and combinatorial optimization. The theorem is often involved with properties of vertices and edges in graphs, particularly in relation to specific configurations or arrangements. However, it’s important to note that Kirchberger's theorem is not as widely known as some other mathematical theorems, so detailed and widely recognized references might be limited.

Helly's theorem is a result in combinatorial geometry that deals with the intersection of convex sets in Euclidean space. The theorem provides a condition for when the intersection of a collection of convex sets is non-empty.

The Four-Vertex Theorem is a result in differential geometry and the study of curves. It states that for a simple, closed, smooth curve in the plane (which means a curve that does not intersect itself and is continuously differentiable), there are at least four distinct points at which the curvature of the curve attains a local maximum or minimum. To elaborate, curvature is a measure of how sharply a curve bends at a given point.

The Erdős–Nagy theorem is a result in number theory that describes the conditions under which certain sequences can be generated by the marks made during a specific iterative process involving integers. More specifically, it concerns the distribution of sums of subsets of natural numbers. The theorem states that if \( A \) is a set of natural numbers, then the set of all finite sums formed by taking elements from \( A \) has certain properties related to density.

The Erdős–Anning theorem is a result in the field of combinatorial number theory, particularly concerning sequences of integers and their properties regarding sums and subsets. Specifically, the theorem addresses the characterization of sequences that can avoid certain types of linear combinations.

De Bruijn's theorem, named after the Dutch mathematician Nicolaas Govert de Bruijn, is primarily known in the context of combinatorics and graph theory. It refers to several important results, but the most widely recognized version is in relation to the properties of sequences and combinatorial structures.

Carathéodory's theorem is a fundamental result in convex geometry that characterizes the representation of points in a convex set.

Beck's theorem, in the context of geometry, generally refers to a result in the field of combinatorial geometry related to point sets and convex shapes. More specifically, it states that for any finite set of points in the plane, there exists a subset of those points that can be covered by a convex polygon of a certain size, where the size is influenced by the dimension of the space.

The Valiant–Vazirani theorem is a result in theoretical computer science concerning the complexity of certain problems in the context of randomized algorithms. Specifically, it relates to the complexity class NP (nondeterministic polynomial time) and the concept of zero-knowledge proofs.

Toda's theorem is a significant result in computational complexity theory, which establishes a relationship between different complexity classes.

The Time Hierarchy Theorem is a fundamental result in computational complexity theory that formalizes the idea that more time allows for the solution of more problems. More specifically, it provides a rigorous framework for understanding how the class of problems that can be solved by deterministic Turing machines in polynomial time expands as the amount of time allowed increases.

The Speedup Theorem is a concept from the field of computation and algorithms, particularly in the context of parallel computing and optimization. While there may be multiple interpretations or applications of the notion of speedup, one common formulation is related to how much faster an algorithm can run when resources are added (processing units, memory, etc.).

The Space Hierarchy Theorem is a fundamental result in computational complexity theory that pertains to the relationship between the space complexity of computational problems. It essentially states that there are problems that can be solved with a certain amount of space that cannot be solved with less space.

The Sipser–Lautemann theorem is a result in the field of computational complexity theory that addresses the relationship between complexity classes, particularly focusing on the class of languages recognized by nondeterministic polynomial time machines (NP) and certain probabilistic polynomial time machines (BPP).

Schaefer's Dichotomy Theorem is a result in the field of functional analysis, particularly in the study of nonlinear operators and fixed point theory. It provides a useful classification of certain types of operators in Banach spaces, particularly those that are continuous and compact.

Savitch's theorem is a result in computational complexity theory that relates the complexity classes \( \text{NL} \) (nondeterministic logarithmic space) and \( \text{L} \) (deterministic logarithmic space).

The PCP (Probabilistically Checkable Proofs) theorem is a significant result in computational complexity theory that characterizes the class of decision problems that can be efficiently verified by a probabilistic verifier using a limited amount of randomness and reading only a small portion of the proof.