A) A complex matrix B) A vector C) A single number D) A coordinate system
A) Quotient of the vector components B) Sum of products of corresponding entries C) Difference of the vector lengths D) Product of the total sum of entries
A) Sum of lengths and the cosine of the angle B) Product of lengths and the sine of the angle C) Product of lengths and the tangent of the angle D) Product of lengths and the cosine of the angle
A) The dot product of the vector by itself B) The square of the dot product of the vector by itself C) Half the dot product of the vector by itself D) Square root of the dot product of the vector by itself
A) The operation uses coordinates B) The operation is only for 3D space C) The result is a scalar D) The result is a vector
A) The dot operator B) The Cartesian coordinate system C) The mathematician who invented it D) The sequence of numbers used
A) The angle between the vectors B) The number of entries in the vectors C) The lengths of the vectors D) The choice of a particular Cartesian coordinate system
A) A vector product B) An inner product C) A coordinate field D) A linear sequence
A) Complex manifolds B) Cartesian planes C) Scalar fields D) Vector spaces
A) The product of their scalar product and their lengths B) The difference of their scalar product and their lengths C) The sum of their scalar product and their lengths D) The quotient of their scalar product by the product of their lengths
A) Dot product and scalar product B) Inner product and vector product C) Scalar product and coordinate product D) Dot product and vector product
A) Sum and difference B) Volume and area C) Coordinate and sequence D) Angle and distance
A) The real coordinate space Rn B) The complex coordinate space Cn C) The integer coordinate space Zn D) The three-dimensional vector space V3
A) When the vectors have negative values B) When the vectors are unit vectors C) When the dimension is greater than three D) When using Cartesian coordinates
A) As their dot product B) As the square root of their dot product C) As the product of their lengths D) As the sum of their coordinates
A) ||a||*||b||cos(theta) B) ||a||sin(theta) C) ||a||cos(theta) D) ||b||cos(theta)
A) a · b B) ||a|| / b^ C) a · b^ D) a / ||b||
A) Quadratic B) Linear C) Multilinear D) Bilinear
A) Kronecker delta B) Levi-Civita symbol C) Identity matrix D) Euler's constant
A) arctan((a · b) / (||a|| * ||b||)) B) arccos((a · b) / (||a|| * ||b||)) C) arccos(a · b) D) arcsin((a · b) / (||a|| * ||b||))
A) a · b = 1 B) a · b = -1 C) a · b = 0 D) a · b = ||a|| * ||b||
A) Only for non-zero vectors B) Only for unit vectors C) Yes D) No
A) a · b' + b · a' B) a' · b - a · b' C) a' · b' D) a' · b + a · b'
A) Reflexivity B) Homogeneity C) Symmetry D) Transitivity
A) Additive law B) Distributive law C) Commutative law D) Associative law
A) Complex conjugate B) Inverse C) Square root D) Absolute value
A) Conjugate transpose B) Trace C) Transpose only D) Determinant
A) Multilinear B) Sesquilinear C) Bilinear D) Non-linear
A) Vector magnitude B) Norm squared C) Scalar volume D) Determinant |