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