A) A text-based description of group operations. B) An interpretation of group actions with graphs. C) A way to visually illustrate group elements. D) A homomorphism from the group to the general linear group of a vector space.
A) A representation using complex numbers only. B) A representation that has no non-trivial invariant subspaces. C) A representation with linearly independent elements. D) A representation with orthogonal basis vectors.
A) The dimension of the vector space. B) The determinant of the matrix representing a group element. C) The eigenvalues of the representation matrix. D) The trace of the matrix representing a group element.
A) To understand symmetry in quantum mechanics. B) To solve partial differential equations. C) To analyze financial time series. D) To develop geometric algorithms.
A) A representation with unity as a group element. B) A representation using only unit vectors. C) A representation that preserves an inner product. D) A representation with one element in each row and column.
A) To analyze financial market data. B) To classify representations of symmetric groups. C) To optimize matrices for numerical stability. D) To describe geometric transformations.
A) The set of elements that commute with all group elements. B) The central point of a group element matrix. C) The geometric center of a group representation. D) The center of mass of all group elements.
A) A morphism from one group to another. B) A map between vector spaces. C) A representation of a simple group. D) A homomorphism of a group into itself.
A) A representation involving adjacent matrices. B) The representation that corresponds to the group's Lie algebra. C) A representation used in architectural design. D) A representation with adjoint angles.
A) Representation theory predicts quantum tunneling. B) Representation theory helps analyze symmetries and observables in quantum systems. C) Representation theory creates quantum entanglement. D) Representation theory measures quantum fluctuations. |