Multi-Variable Calculus: Cancellation of dot products

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Homework Help Overview

The discussion revolves around the properties of the dot product in multi-variable calculus, specifically questioning whether the cancellation rule applicable in real-number multiplication holds for dot products. The original poster presents a scenario where two dot products are equal, and they seek to understand if this implies the equality of the corresponding vectors.

Discussion Character

  • Conceptual clarification, Assumption checking, Exploratory

Approaches and Questions Raised

  • Participants explore the implications of the dot product being equal for different vectors and question the validity of cancellation. They consider specific cases, such as when the dot product equals zero, and discuss geometric interpretations. Some participants suggest examining the concept of an inverse vector in relation to the problem.

Discussion Status

The discussion is active, with participants offering hints and exploring various interpretations of the problem. There is an acknowledgment of the need for counterexamples and geometric reasoning, indicating a productive direction without reaching a consensus.

Contextual Notes

Participants are considering specific cases and constraints, such as the condition of the vectors being orthogonal and the implications of introducing scalars in their arguments. There is an emphasis on understanding the geometric meaning of the dot product results.

Dembadon
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Homework Statement



In real-number multiplication, if uv1 = uv2 and u ≠ 0, then we can cancel the u and conclude that v1 = v2. Does the same rule hold for the dot product: If uv1 = uv2 and u ≠ 0, can you conclude that v1 = v2? Give reasons for your answer.

Homework Equations





The Attempt at a Solution



If we let u = k<u1, u2> with u2 = 0 and scalar k, then the dot product of u with any other vector v = k<v1, v2> will simply be the component kv1 because u2 will make the ku2kv2 product always zero regardless of its value. Thus, v can be infinitely many different vectors and still have the same dot product with u.
 
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The hint is can you compute an inverse of [itex]\vec{u}[/itex] ? and thus multiply both by that inverse in order that both vectors v1 and v2 are equal.
 
also a counter example might be good here, how about considering when
u • v1 = u • v2 = 0

what does this mean geometrically? using that it should be easy to find a counter example in 3D space
 
Dembadon said:
If we let u = k<u1, u2> with u2 = 0 and scalar k, then the dot product of u with any other vector v = k<v1, v2> will simply be the component kv1 because u2 will make the ku2kv2 product always zero regardless of its value. Thus, v can be infinitely many different vectors and still have the same dot product with u.
Just out of curiosity, why do you introduce the scalar k? Doesn't your argument work without the k's?
 
Pyrrhus said:
The hint is can you compute an inverse of [itex]\vec{u}[/itex] ? and thus multiply both by that inverse in order that both vectors v1 and v2 are equal.

Interesting! I hadn't thought of that. I'll have to play around with it.

lanedance said:
also a counter example might be good here, how about considering when
u • v1 = u • v2 = 0

what does this mean geometrically? using that it should be easy to find a counter example in 3D space

It would mean that both v1 and v2 are orthogonal to u, or that u is orthogonal to v1 and v2, right?

vela said:
Just out of curiosity, why do you introduce the scalar k? Doesn't your argument work without the k's?

You're absolutely right. Thank you for pointing that out. :smile:

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Thanks for the input, everyone. I appreciate your time.
 

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