Understanding Cross Product Derivatives for Vector Functions

In summary, the conversation discusses finding the derivative of a product involving vectors and constants, specifically [(a + t * b) x (a + t * b + t^(2) * c)]. The conversation also mentions a similar problem with the same specifications, and the provided answer is (a x d) + (b x c) + 2t(b x d). The conversation concludes with a clarification on the use of the product rule and the properties of cross product.
  • #1
kap361
2
0
hi all.

my homework question is what is the derivative of:

[(a + t * b) x (a + t * b + t^(2) * c)]

a, b, and c are vectors, and t is a constant. * is multipy, ^(2) is squared, and x is cross product.

i've been working on it for hours and i have no idea what to do.

there's another similar problem which i have the answer to. it asks to find the derivative of:

[(a + t * b) x (c + t * d)]

it has the same specs, with d being another vector.

the answer to this one is:

(a x d) + (b x c) + 2t(b x d)

i just don't see how these connect and can actually be equivalent.

help would be ridiculously appreciated.
 
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  • #2
You have a (cross) product there. So you should use the (cross) product rule.
 
  • #3
First, the product rule, for cross product: (uxv)'= uxv'+ u'xv.

Second, cross product is anti-commutative: uxv= -vxu and, in particular, uxu= 0.
Finally, cross product is distributive: ux(v+ w)= uxv+ uxw (though is it NOT associative).

Look at your second, simpler, problem: [(a + t * b) x (c + t * d)] '
= (a+ tb)' x(c+ td)+ (a+tb)x(c+ td)'= bx(c+td)+ (a+tb)x(d)= bxc+ t(bxd)+ axd+ t(bxd)= axd+ bxc+ 2t(bxd).
 
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  • #4
ok thank you so much you two.
 

FAQ: Understanding Cross Product Derivatives for Vector Functions

What is a cross product derivative?

A cross product derivative is a mathematical operation that calculates the rate of change of a vector function with respect to another vector function. It involves finding the partial derivatives of each component of the first vector function and multiplying them with the components of the second vector function.

How is the cross product derivative different from the dot product derivative?

The main difference between the cross product derivative and the dot product derivative is the type of result produced. The cross product derivative results in a vector, while the dot product derivative results in a scalar. Additionally, the cross product derivative is used to calculate the rate of change of two vector functions, while the dot product derivative is used to calculate the directional derivative of a scalar function in a specific direction.

What are the applications of cross product derivatives?

Cross product derivatives have various applications in mathematics, physics, and engineering. Some examples include calculating the angular velocity and acceleration of rotating objects, determining the direction of magnetic fields in electromagnetism, and finding the rate of change of fluid flows in fluid mechanics.

How is the cross product derivative calculated?

The cross product derivative is calculated by taking the partial derivatives of each component of the first vector function with respect to the components of the second vector function. These partial derivatives are then multiplied and summed to give the resulting vector.

Are there any rules or properties of cross product derivatives?

Yes, there are several rules and properties of cross product derivatives, including the product rule, the chain rule, and the inverse rule. These rules help to simplify the calculation of cross product derivatives and can be applied in various scenarios to solve complex problems.

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