Question 2.145: By using Eqs. (2.23) and (2.34), show that U.(V × W) = | Ux......

By using Eqs. (2.23) and (2.34), show that

U.(V\times W)= \left|\begin{matrix} U_x & U_{y} & U_z \\ V_x & V_y & V_z \\ W_x & W_y & W_z \end{matrix} \right|
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Step 1:
The answer starts by expanding the dot product of vectors U and V using Eq. (2.23). The dot product is given by U · V = U_X V_X + U_Y V_Y + U_Z V_Z.
Step 2:
Next, the answer introduces Eq. (2.34), which represents the cross product of vectors U and V using determinants. The determinant representation is given by U × V = |i j k | U_X U_Y U_Z V_X V_Y V_Z.
Step 3:
To simplify the notation, the answer defines P as the cross product of U and V, i.e., P = U × V.
Step 4:
The answer expands the determinant of P using the first row as the expansion row. This expansion results in three terms involving two-by-two determinants.
Step 5:
Since the two-by-two determinants are scalars, the answer writes the expanded determinant in the form P = iP_X + jP_Y + kP_Z, where P_X, P_Y, and P_Z are the two-by-two determinants.
Step 6:
The answer then applies Eq. (2.23) to the dot product of a vector Q with P. The dot product is given by Q · P = Q_X P_X + Q_Y P_Y + Q_Z P_Z.
Step 7:
Finally, the answer substitutes the expressions for P_X, P_Y, and P_Z into the dot product equation and simplifies it. This simplification results in a three-by-three determinant, which represents the dot product of Q with the cross product of U and V.
In summary, the answer provides a step-by-step explanation of expanding the determinant of a cross product and then collapsing the expansion to obtain a three-by-three determinant expression for the dot product of a vector with the cross product.

Final Answer

One strategy is to expand the determinant in terms of its components, take the dot product, and then collapse the expansion. Eq. (2.23) is an expansion of the dot product: Eq. (2.23): U · V = U_X V_X + U_Y V_Y + U_Z V_Z. Eq. (2.34) is the determinant representation of the cross product:

\text { Eq. (2.34) } U \times V=\left|\begin{array}{ccc} i & j & k \\U_X & U_Y & U_Z \\V_X & V_Y & V_Z\end{array}\right|

For notational convenience, write P = (U × V). Expand the determinant about its first row:

P = i \left|\begin{array}{ll}U_Y & U_Z \\V_Y & V_Z\end{array}\right|- j \left|\begin{array}{ll}U_X & U_Z \\V_X & V_Z\end{array}\right|+ k \left|\begin{array}{cc}U_X & U_Z \\V_X & V_Z\end{array}\right|

Since the two-by-two determinants are scalars, this can be written in the form: P = iP_X + jP_Y + kP_Z where the scalars P_X,~P_Y,~and~P_Z are the two-by-two determinants. Apply Eq. (2.23) to the dot product of a vector Q with P. Thus Q · P = Q_X P_X + Q_Y P_Y + Q_Z P_Z. Substitute P_X,~P_Y,~and~P_Z into this dot product

Q \cdot P =Q_X\left|\begin{array}{ll}U_Y & U_Z \\V_Y & V_Z\end{array}\right|-Q_Y\left|\begin{array}{ll}U_X & U_Z \\V_X & V_Z\end{array}\right|+Q_z\left|\begin{array}{cc}U_X & U_Z \\V_X & V_Z\end{array}\right|

But this expression can be collapsed into a three-by-three determinant directly, thus:

Q \cdot( U \times V )=\left|\begin{array}{lll}Q_X & Q_Y & Q_Z \\U_X & U_Y & U_Z \\V_X & V_Y & V_Z\end{array}\right| \text {. This completes the demonstration. }

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