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Vector calculus
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== Vector algebra == {{main|Euclidean vector#Basic properties}} The algebraic (non-differential) operations in vector calculus are referred to as ''vector algebra'', being defined for a vector space and then applied [[pointwise]] to a vector field. The basic algebraic operations consist of: {| class="wikitable" style="text-align:center" |+Notations in vector calculus |- !scope="col"|Operation !scope="col"|Notation !scope="col"|Description |- ![[Vector addition]] |<math>\mathbf{v}_1 + \mathbf{v}_2</math> |Addition of two vectors, yielding a vector. |- !scope="row"|[[Scalar multiplication]] |<math>a \mathbf{v}</math> |Multiplication of a scalar and a vector, yielding a vector. |- !scope="row"|[[Dot product]] |<math>\mathbf{v}_1 \cdot \mathbf{v}_2</math> |Multiplication of two vectors, yielding a scalar. |- !scope="row"|[[Cross product]] |<math>\mathbf{v}_1 \times \mathbf{v}_2</math> |Multiplication of two vectors in <math>\mathbb R^3</math>, yielding a (pseudo)vector. |} Also commonly used are the two [[triple product]]s: {| class="wikitable" style="text-align:center" |+Vector calculus triple products |- !scope="col"|Operation !scope="col"|Notation !scope="col"|Description |- !scope="row"|[[Scalar triple product]] |<math>\mathbf{v}_1\cdot\left( \mathbf{v}_2\times\mathbf{v}_3 \right)</math> |The dot product of the cross product of two vectors. |- !scope="row"|[[Vector triple product]] |<math>\mathbf{v}_1\times\left( \mathbf{v}_2\times\mathbf{v}_3 \right)</math> |The cross product of the cross product of two vectors. |}
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