DefinitionThe complex or real vector spaces for which an inner product(X,Y) is defined in the space so that we can measure lengths and angles are called inner product spaces (alternative termHilbert space). An inner product 〈u,v〉 expected to enjoy properties like: linearity, symmetry, positive-definiteness. Inner product spaces are generalizations of Hilbert spaces and are of great importance in functional analysis, quantum mechanics and signal processing. For Example: In the vector space R2, the inner product of vectors u=(u1,u2) and v=(v1,v2) is given by ⟨u,v⟩=u1v1+u2v2.