Do normal differentiation rules apply to vectors?

In summary, the conversation discusses different methods for finding the derivative of cross product of vectors. Some methods involve using the product rule, while others use Taylor series expansion or the definition of derivative. The OP also mentions using the limit as delta t approaches zero to complete the derivative, but the correct method is still unclear. Further explanation and guidance is needed in order to fully understand and derive the product rule for cross product of vectors.
  • #1
Zheng Tien
15
2
(I am not very sure if this is a high-school level question or a undergraduate level question. Sorry.)

Does our normal differentiation rules, like the product rule and quotient rule apply to vectors?

Say for example, differentiate ##r \times \dot r##

##r## is radius vector, ##\dot r## is the time derivative of the radius vector (i.e. velocity vector), and you cross both vector (thus the product is a vector, not a scalar as in dot multiplication.)

Now in normal case, assume that ##r## and ## \dot r## are both scalar, not vector, we will apply product rule, i.e. differentiate the first variable (##r##), retain the second (##r##), multiply both, plus differentiate the second variable (##r##) and add with the first variable (##r##)

So, your result is:

(##r \times \ddot r ##) + (## \dot r \times \dot r##)

But what about vectors? If both ##r## and ## \dot r## are vectors and you cross multiply or dot multiply them, will you differentiate them the same way like you do as if they were scalars?
 
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  • #3
Hi mentor jedishrfu.

Ok, so this apply to both dot multiplication and cross multiplication of vector?

And what about if there is an angle between the vectors? How would you differentiate them?

Thanks for answering.

Zheng Tien.

Edit: I have seen your posted link. But I am just a high school graduate, the maths in your posted link are too tough for me.
 
  • #5
Also if you check out the site mathispower4u.com they have a course on Calculus three and there should be a video on this to help you along.

Also this wiki article on cross product shows the distributive rule

https://en.m.wikipedia.org/wiki/Cross_product

In your case, the r' x r' term is zero since the vectors are parallel leaving the r x r" term
 
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  • #6
$$\boldsymbol a(t+h)=\boldsymbol a(t)+h\dot{\boldsymbol a}(t)+o(h),\quad \boldsymbol b(t+h)=\boldsymbol b(t)+h\dot{\boldsymbol b}(t)+o(h),\quad h\to 0;$$
$$\boldsymbol a(t+h)\times \boldsymbol b(t+h)=\boldsymbol a(t)\times \boldsymbol b(t)+h\big(\boldsymbol a(t)\times\dot{\boldsymbol b}(t)+\dot{\boldsymbol a}(t)\times\boldsymbol b(t)\big)+o(h).$$
 
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  • #7
Thank you, jedishrfu!

I don't understand what zwierz is writing. Can anyone explain what he is writing to me? Sorry and thank you.
 
  • #8
@zwierz was showing you the limit way of proving the cross product time derivative with h being delta t but he could explain it better

He used a Taylor series expansion of the a and b vector functions and then applied the cross product them.
 
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  • #9
Sorry for my late reply, I had my lunch break just now.

Ah, sorry, I haven't learned Taylor series expansion yet, even though I know a little about it. Is it stated in the links of your posts above, mentor jedishrfu? Thanks mentor jedishrfu, I will study that in detail and ask further questions here if required. Thanks you zwierz as well.

Zheng Tien.
 
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  • #10
i would rather refer the definition of derivative than the Taylor expansions
 
  • #11
Hmm. I see. You don't prefer your own method? The definition of derivative is fine for me, basically just differentiation by first principle. I have learned that in high school, and I just have to change the variables into vectors. I have checked product rule for wikipedia, and yes it is stated there. Thank you for all of your kind help. :smile:.

upload_2017-4-14_20-4-25.png
 
  • #12
Zheng Tien said:
The definition of derivative is fine for me
If this were so you would understand that there are several equivalent definitions of derivative. I used one of them
 
  • #13
But Dr. zwierz (Oh, I discovered that you hold a PhD, I apologize on behalf of my childish behaviour just now, sorry), if you check the stackexchange link that mentor jedishrfu posted just now, you will discover some funny thing.

Here is the maths that was uploaded and do you notice that there is a plus sign at the end of the 1st and 3rd line, and then suddenly an equal sign at the end of the 2nd line. Curious...

Also, I don't know how to complete the derivative, doctor. The OP says that at the end of his post: now divide by delta t and take the limit as delta t approaches zero.

I look at his equation and I go through that equation by myself. If I divide the 4th line by delta t, that means I will only divide u(t) by delta t. Then, I still won't get the correct answer.

(Below is the derivation shown by the OP in stackexchange.)

\begin{aligned}\vec{u}\left(t+\delta t\right)\times\vec{v}\left(t+\delta t\right)-\vec{u}\left(t\right)\times\vec{v}\left(t\right) & =\vec{u}\left(t+\delta t\right)\times\vec{v}\left(t+\delta t\right)-\vec{u}\left(t\right)\times\vec{v}\left(t+\delta t\right)+\\
& =\vec{u}\left(t\right)\times\vec{v}\left(t+\delta t\right)-\vec{u}\left(t\right)\times\vec{v}\left(t\right)=\\
& =\left[\vec{u}\left(t+\delta t\right)-\vec{u}\left(t\right)\right]\times\vec{v}\left(t+\delta t\right)+\\
& =\vec{u}\left(t\right)\times\left[\vec{v}\left(t+\delta t\right)-\vec{v}\left(t\right)\right]
\end{aligned}

So, Doctor, can you help me by showing me the the correct way to derive the product rule for cross product of vector.

Thank you, Doctor.
 
  • #14
In the future, you can dispense with the titles mentor and Doctor, there is no need to use them here. Just use the @jedishrfu tag and I'll be sure to see an alert to your post when ever I sign on to PF.
 
  • #15
Ok, @jedishrdu (Can you professional experts choose a better name, I have problem remembering "jedishrfu" and "zwierz", just kidding. :smile:) Why not you help me to answer the question and derive the equation for me, @jedishrfu ? (oh, I see you have a master degree as well. Hi Master jedishrfu. )

You know what, Physics Forum is the most efficient forum I have ever seen. The mentors act swiftly to every problem and they are very kind to teenagers (like me, I am 18 years old. :smile:) I will definitely recommend Physics Forum to others. All of you professional experts have done extremely well.

Keep it up, guys! (And please don't forget to help me to derive my equation...)
 
  • #16
Zheng Tien said:
Now in normal case, assume that ##r## and ## \dot r## are both scalar, not vector, we will apply product rule, i.e. differentiate the first variable (##r##), retain the second (##r##), multiply both, plus differentiate the second variable (##r##) and add with the first variable (##r##)

So, your result is:

(##r \times \ddot r ##) + (## \dot r \times \dot r##)
It's inadvisable to use ##\times## when you mean ordinary multiplication. In your expression above, the natural tendency would be to assume that you're talking about the cross product, which is defined only for certain kinds of vectors.
 
  • #17
zwierz said:
$$\boldsymbol a(t+h)=\boldsymbol a(t)+h\dot{\boldsymbol a}(t)+o(h),\quad \boldsymbol b(t+h)=\boldsymbol b(t)+h\dot{\boldsymbol b}(t)+o(h),\quad h\to 0;$$
$$\boldsymbol a(t+h)\times \boldsymbol b(t+h)=\boldsymbol a(t)\times \boldsymbol b(t)+h\big(\boldsymbol a(t)\times\dot{\boldsymbol b}(t)+\dot{\boldsymbol a}(t)\times\boldsymbol b(t)\big)+o(h).$$
jedishrfu said:
@zwierz was showing you the limit way of proving the cross product time derivative with h being delta t but he could explain it better
Regarding explaining it better, I agree.
jedishrfu said:
He used a Taylor series expansion of the a and b vector functions and then applied the cross product them.

zwierz said:
i would rather refer the definition of derivative than the Taylor expansions
Your formulas appear to use the first order terms of a Taylor expansion of a(t + h) and b(t + h). Also, without further explanation, it would be difficult for some to follow what you are doing in light of the question that was asked. Since the OP has not studied Taylor series yet, your explanation was of no help to him. Try to gauge the level of your help with the abilities of the person asking the question.
 
  • #18
Knowledge about Taylor expansion is not needed.
Definition. Assume that for some fixed point ##x\in(a,b)## a function ##f:(a,b)\to \mathbb{R}## represents as follows
$$f(x+h)=f(x)+Ah+o(h)$$ as ##h\to 0## and ##A## is a constant. Then the constant ##A## is referred to as a derivative of ##f## at the point ##x##.
It is the same for the vector-functions just after evident words about ##o(h)## and ##A## is a vector constant.
 
  • #19
zwierz said:
Knowledge about Taylor expansion is not needed.
Definition. Assume that for some fixed point ##x\in(a,b)## a function ##f:(a,b)\to \mathbb{R}## represents as follows
$$f(x+h)=f(x)+Ah+o(h)$$ as ##h\to 0## and ##A## is a constant. Then the constant ##A## is referred to as a derivative of ##f## at the point ##x##.
But your definition uses Taylor expansion, truncating it at the first-order term, and adding an error term to compensate.
zwierz said:
It is the same for the vector-functions just after evident words about ##o(h)##.
And I'm guessing that the OP has no idea about ##o(h)##, either.

Again, try to gauge the level of the poster when you give an answer. Providing an answer that is way over the head of a poster is not helpful.
 
  • #20
Mark44 said:
But your definition uses Taylor expansion,
rather the Taylor expansion uses this definition as the base case of induction
Mark44 said:
Again, try to gauge the level of the poster when you
ok
 
  • #21
Mark44 said:
But your definition uses Taylor expansion,
zwierz said:
rather the Taylor expansion uses this definition as the base case of induction
That's possible, but I think that the Taylor expansion came first, historically, and that the linearization, with its ##o(h)## term came later.
 
  • #22
Whoa... I see 3 experts here, all with Masters and PhD. I have come to the right place. Ok, @Mark44 and @zwierz

Yes, you are right, @Mark44, I have no idea what the o(h) term is. In fact, I know nothing about the whole equation @ziwerz had written. Sorry. I have just completed O-level last year (currently in my gap year, will proceed to A-level this July.)

So, let's just put the Taylor series expansion aside, can both experts (or other experts) help me derive (using first principle) the product rule for vectors? The stackexchange derivation is full of errors with equal signs and plus signs at the wrong place, which is confusing.

Thank you, @Mark44 and @zwierz .

Best wishes,

Zheng Tien.
 
  • #23
  • #24
@Jamison Lahman. Thank you. So, the product rule applies to both cross products and dot products. I understand that the terms vanish simple because they are the same, so you multiply one of them by 2 and you still get the same thing.

Thanks, @Jamison Lahman. I appreciate that.

Best wishes,

Zheng Tien.
 

1. What are the general rules for differentiating vectors?

The general rules for differentiating vectors include the product rule, quotient rule, chain rule, and power rule. These rules can be applied to individual components of a vector or to the vector as a whole.

2. Can I use the same rules to differentiate vectors as I do for differentiating scalar functions?

Yes, the same rules for differentiating scalar functions can be applied to vectors, as long as the vector has a corresponding scalar function for each component. For example, if a vector has components x, y, and z, then each component can be differentiated using the same rules as a scalar function.

3. Are there any additional rules or considerations when differentiating vectors?

Yes, when differentiating vectors, it is important to consider the direction and magnitude of the vector. This can be done by taking the derivative with respect to a specific variable or by using the directional derivative formula.

4. Can vectors be differentiated with respect to more than one variable?

Yes, vectors can be differentiated with respect to multiple variables, just like scalar functions. This is known as partial differentiation and is commonly used in vector calculus and multivariable calculus.

5. Are there any exceptions to the application of differentiation rules to vectors?

Yes, there are some exceptions to the application of differentiation rules to vectors. For example, the product rule does not apply to the cross product of two vectors, and the chain rule may require additional considerations when differentiating vector-valued functions.

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