Are ||b||a + ||a||b and ||b||a - ||a||b always orthogonal?

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Homework Help Overview

The discussion centers around the orthogonality of the vectors ||b||a + ||a||b and ||b||a - ||a||b. Participants are tasked with showing whether these vectors are orthogonal, which involves analyzing their dot product.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Some participants express uncertainty about the validity of the statement regarding orthogonality and question the conditions under which the dot product equals zero. Others discuss the implications of scalar multiplication in the context of vector addition and subtraction.

Discussion Status

Participants are exploring different interpretations of the problem, with some suggesting that the relationship between the magnitudes of the vectors plays a crucial role in determining orthogonality. There are indications that some have made progress in understanding the concept, while others remain skeptical about the initial claim.

Contextual Notes

There is mention of potential misunderstandings regarding the application of the dot product and the geometric interpretation of vector relationships, particularly in relation to unit vectors and the formation of parallelograms.

1MileCrash
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Homework Statement



Show that

||b||a + ||a||b and ||b||a - ||a||b are orthogonal vectors.

Homework Equations





The Attempt at a Solution



After analyzing it and trying to prove it to no avail, I don't even think it's a true statement.
 
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1MileCrash said:

Homework Statement



Show that

||b||a + ||a||b and ||b||a - ||a||b are orthogonal vectors.

Homework Equations





The Attempt at a Solution



After analyzing it and trying to prove it to no avail, I don't even think it's a true statement.
If two vectors are othogonal, their dot product will be zero. What do you get if you dot the two vectors in this problem?
 
Nevermind, careless error.
 
Though I was able to prove it, I do find it difficult to wrap my head around the fact that what makes it work is the scalar multiplication..
 
That's probably the most important use of the dot product - determining whether two vectors are orthogonal. Less important, IMO, is the ability to find the angle between two vectors.
 
I mean the scalar multiplied by vector multiplication. The dot product is not always 0 for (a+b) * (a-b). I find it hard to grasp that the magnitudes are what made them orthogonal.
 
1MileCrash said:
I mean the scalar multiplied by vector multiplication. The dot product is not always 0 for (a+b) * (a-b).
True. If you form a parallelogram with a and b as two adjacent sides, then a + b will be a diagonal, and a - b will be the other diagonal. Most of the time these diagonals won't be perpendicular, so the dot product (a + b)##\cdot##(a - b) won't be zero.
1MileCrash said:
I find it hard to grasp that the magnitudes are what made them orthogonal.
That's because you're essentially working with unit vectors, and the parallelogram is actually a square. In that case, the diagonals are perpendicular.

|b|a + |a|b = |a| * |b| * (a/|a| + b/|b|)

|b|a - |a|b = |a| * |b| * (a/|a| - b/|b|)

The vectors in the parentheses on the right sides are unit vectors, with a/|a| + b/|b| being one diagonal of a unit square, and a/|a| - b/|b| being the other diagonal.

(Here a/|a| means 1/|a| * a, of course. I'm also using just a single pair of | vertical bars to denote vector magnitude.)
 

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