Past exam of the mathematics course of the University of Cambridge 2018 iii Paper 106 3 c Solution Created 2026-10-03 Updated 2026-10-05
The Commutative Gelfand--Naimark theorem states that a complex commutative unital C-star algebra is isometrically star-isomorphic to through its Gelfand transform, with a compact Hausdorff space. The l-infinity sequence space is such an algebra under coordinatewise multiplication and conjugation, with the supremum norm. Thereforegives the required isometric isomorphism.
Uniqueness as a Banach space representation uses the Banach–Stone theorem, rather than just uniqueness as an algebra representation. To justify the relevant theorem, the Riesz-Markov-Kakutani representation theorem givesthe extreme points of the dual unit ball of C(K). A norm-one measure whose variation measure is not concentrated at one point splits into two normalized restrictions to disjoint sets of positive variation, and so is not extreme. Conversely, equality in the variation bound shows that any decomposition of into the average of two dual-unit-ball elements forces both to be : after removing the phase, the two measures must be positive and their average is concentrated at .
If is a surjective linear isometry, its dual map preserves these extreme points and their scalar orbits. Hence for a bijection and . Evaluating at gives the continuous function , whileshows that is continuous, since continuous functions determine the topology of a compact Hausdorff space. It is consequently a homeomorphism. Thus any other compact space representing is homeomorphic to this . The Banach–Stone theorem is also stated in Leonard Tomczak's notes on András Zsák's functional analysis lectures.
Embed by the evaluation characters . They are distinct because the coordinate indicator functions distinguish them. Moreover, , so every character has . If , thenand hence . It follows that is open in . Thus is a homeomorphism from the discrete natural numbers onto its image.
To prove density, suppose . The Urysohn lemma provides a nonzero vanishing on . Write . Then for all , so and , a contradiction. Every bounded function is an element of , and is its continuous extension to . Density makes this extension unique. ThereforeThis identifies with the Stone-Čech compactification of the natural numbers.
Past exam of the mathematics course of the University of Cambridge 2019 ib Paper 3 21H a Solution Created 2026-09-24 Updated 2026-09-29
Choose a set of column indices for which the square matrix is invertible. The associated basic solution sets for and solves . It is a basic feasible solution when all its coordinates are nonnegative.
Let be a basic feasible solution with basis . If for , then and nonnegativity force for every . Since and is invertible, . Thus is an extreme point.
Conversely, let be extreme and let . If , the corresponding columns are linearly dependent, so there is a nonzero vector supported on with . For sufficiently small , both and remain nonnegative and feasible, contradicting extremality. Hence . Enlarge to a set of indices. By the hypotheses is invertible, and is the resulting basic feasible solution. Therefore
Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 339 1 a Solution Created 2026-10-03 Updated 2026-10-05
Suppose in the capped simplex has a coordinate strictly between zero and one. Since is an integer, it cannot have exactly one such coordinate: the other coordinates would contribute an integer sum. Hence there are distinct with .
Choose and set , where are standard basis vectors. Both perturbed vectors satisfy the coordinate bounds and have the same coordinate sum. They are distinct and , so is not an extreme point.
Conversely, every zero-one vector in this convex polytope is an extreme point. If it were a nontrivial convex combination of two feasible vectors, each coordinate equal to zero would force both corresponding coordinates to be zero, and each coordinate equal to one would force both to be one. Thus the two vectors would equal the original one. The extreme points are therefore exactly the indicators of -element subsets.
Past exam of the mathematics course of the University of Cambridge 2019 iii Paper 339 1 b Solution Created 2026-10-03 Updated 2026-10-05
The required linear program isThere are inequality constraints and one equality constraint, all independent of .
The feasible set is the capped simplex, a nonempty compact set. A linear function attains its maximum at an extreme point; the previous part identifies these as the indicators of -element subsets. At such a vector, the objective is the sum of the selected coordinates. Maximizing selects the largest coordinates, including when some are negative or tied. Equivalently, is the support function called the sum of the largest components.
Past exam of the mathematics course of the University of Cambridge 2023 ib Paper 3 19H b Solution Created 2026-09-24 Updated 2026-09-25
Start with the eight vertices of the unit cube. The constraint removes and retains the other seven. The cutting plane meets the three cube edges incident to the removed vertex atThese are new vertices. No others occur: at a vertex in three dimensions, three linearly independent bounding planes are active, and choosing triples from the six cube faces and the cutting plane yields precisely the listed points. Hence the ten extreme points are
For a real function in the unit ball, push uniform measure on forward by the displayed sign-valued functions. In the weak-star topology this is a Borel probability concentrated on the extreme points, and Fubini's theorem shows that its barycenter is . Weak-star compactness and separability of the predual place the example within Choquet theorem.
Vertex of a polytope 2026-10-07
A vertex of a convex polytope is an extreme point: it cannot be expressed as a nontrivial convex combination of two distinct points in that polytope. In a full-dimensional simple polytope of dimension , a vertex lies on exactly incident facets.