Equivalent Expressions for Scalar Triple Product
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Theorem
Let $\mathbf a$, $\mathbf b$ and $\mathbf c$ be vectors in a Cartesian $3$-space:
\(\ds \mathbf a\) | \(=\) | \(\ds a_i \mathbf i + a_j \mathbf j + a_k \mathbf k\) | ||||||||||||
\(\ds \mathbf b\) | \(=\) | \(\ds b_i \mathbf i + b_j \mathbf j + b_k \mathbf k\) | ||||||||||||
\(\ds \mathbf c\) | \(=\) | \(\ds c_i \mathbf i + c_j \mathbf j + c_k \mathbf k\) |
Then this identity applies to the scalar triple product:
\(\ds \) | \(\) | \(\ds \sqbrk {\mathbf a, \mathbf b, \mathbf c} = \sqbrk {\mathbf b, \mathbf c, \mathbf a} = \sqbrk {\mathbf c, \mathbf a, \mathbf b}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \mathbf a \cdot \paren {\mathbf b \times \mathbf c} = \mathbf b \cdot \paren {\mathbf c \times \mathbf a} = \mathbf c \cdot \paren {\mathbf a \times \mathbf b}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {\mathbf a \times \mathbf b} \cdot \mathbf c = \paren {\mathbf b \times \mathbf c} \cdot \mathbf a = \paren {\mathbf c \times \mathbf a} \cdot \mathbf b\) |
while:
\(\ds \) | \(\) | \(\ds \sqbrk {\mathbf a, \mathbf c, \mathbf b} = \sqbrk {\mathbf b, \mathbf a, \mathbf c} = \sqbrk {\mathbf c, \mathbf b, \mathbf a}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \mathbf a \cdot \paren {\mathbf c \times \mathbf b} = \mathbf b \cdot \paren {\mathbf a \times \mathbf c} = \mathbf c \cdot \paren {\mathbf b \times \mathbf a}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {\mathbf a \times \mathbf c} \cdot \mathbf b = \paren {\mathbf b \times \mathbf a} \cdot \mathbf c = \paren {\mathbf c \times \mathbf b} \cdot \mathbf a\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds -\sqbrk {\mathbf a, \mathbf b, \mathbf c} = -\sqbrk {\mathbf b, \mathbf c, \mathbf a} = -\sqbrk {\mathbf c, \mathbf a, \mathbf b}\) |
Proof
\(\ds \mathbf a \cdot \paren {\mathbf b \times \mathbf c}\) | \(=\) | \(\ds \begin {vmatrix}
a_i & a_j & a_k \\ b_i & b_j & b_k \\ c_i & c_j & c_k \\ \end {vmatrix}\) |
Definition of Scalar Triple Product | |||||||||||
\(\ds \) | \(=\) | \(\ds -\begin {vmatrix}
b_i & b_j & b_k \\ a_i & a_j & a_k \\ c_i & c_j & c_k \\ \end {vmatrix}\) |
Determinant with Rows Transposed | |||||||||||
\(\ds \) | \(=\) | \(\ds \begin {vmatrix}
b_i & b_j & b_k \\ c_i & c_j & c_k \\ a_i & a_j & a_k \\ \end {vmatrix}\) |
Determinant with Rows Transposed | |||||||||||
\(\ds \) | \(=\) | \(\ds \mathbf b \cdot \paren {\mathbf c \times \mathbf a}\) | Definition of Scalar Triple Product | |||||||||||
\(\ds \) | \(=\) | \(\ds -\begin {vmatrix}
c_i & c_j & c_k \\ b_i & b_j & b_k \\ a_i & a_j & a_k \\ \end {vmatrix}\) |
Determinant with Rows Transposed | |||||||||||
\(\ds \) | \(=\) | \(\ds \begin {vmatrix}
c_i & c_j & c_k \\ a_i & a_j & a_k \\ b_i & b_j & b_k \\ \end {vmatrix}\) |
Determinant with Rows Transposed | |||||||||||
\(\ds \) | \(=\) | \(\ds \mathbf c \cdot \paren {\mathbf a \times \mathbf b}\) | Definition of Scalar Triple Product |
The remaining identities follow from Dot Product Operator is Commutative.
$\blacksquare$
Sources
- 1951: B. Hague: An Introduction to Vector Analysis (5th ed.) ... (previous) ... (next): Chapter $\text {II}$: The Products of Vectors: $7$. Products of Three Vectors: $(2.21)$
- 1957: D.E. Rutherford: Vector Methods (9th ed.) ... (previous) ... (next): Chapter $\text I$: Vector Algebra: $\S 4$