Linked from

The 12 pages that link to Scalar multiplication, each with the reason it gives.

• Matrix multiplicationCompared with: It scales a single matrix rather than combining two matrices through matched dimensions.

• VectorRelated: It changes length and can reverse direction when the scalar is negative.

• Dot productRelated: Projection and vector-length formulas use scalar multiples of vectors.

• MultiplicationBroader topic: It applies ordinary scaling to every entry of a structured quantity.

• Vector additionCompared with: It changes one vector by a number rather than combining two vectors.

• Identity matrixCompared with: Scaling by one leaves entries unchanged, but the identity matrix acts through matrix multiplication.

• Affine spaceRelated: It lets vectors scale displacements between affine points.

• Homogeneous polynomialRelated: Replacing each variable by its scalar multiple yields the characteristic scaling law.

• Vector geometryRelated: Scaling changes a vector's length and can reverse its direction.

• Scalar (physics)Related: It shows how scalar values can rescale directional quantities without supplying direction themselves.

• Product (mathematics)Related: It forms products between a number and a vector, scaling the vector.

• Euclidean vectorRelated: It changes a vector's length while keeping it on the same line.