Clarifying Orthogonal Vectors: Understanding Homework Notation

In summary, the homework set was given by the professor as a review before starting new material. The notation used in the homework set is different from the notation used in the class textbook. The questions ask for a vector that is perpendicular to (v_1, v_2) and two vectors that are perpendicular to (v_1, v_2, v_3). The components v_1, v_2, and v_3 are given as variables and not as specific values. It is important to remember that two vectors are perpendicular if and only if their dot product is 0. The cross product can also be used to find a vector that is orthogonal to both given vectors. The homework is due on Wednesday
  • #1
FrogPad
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I'm confused on the following questions.

(1) Find a vector that is perpendicular to (v_1,v_2).
(2) Find two vectors that are perpendicular to (v_1,v_2,v_3.

This homework set was written by the professor (it is review) before we actually get into the new material. The notation the book uses is that italics variables names are vectors. However in this homework set the professor uses bold face to denote vectors.

I'm just unsure what the question is asking. Is (v_1,v_2) supposed to be 2 vectors in cartesian coordinates of the third dimension. Or does (v_1,v_2) denote one vector with components v_1 and v_2.

I thought this review was going to be very straightforward, so I waited to the last minute (so I don't have time to ask him).

Anyways, any clarification would be helpful. What do you think it would be? I know that:

[tex] \vec v \cdot \vec y = 0 [/tex]
means that the vectors are orthogonal to each other.

and that
[tex] \vec v \times \vec y = \vec a [/tex]
means that [itex]\vec a[/itex] is orthogonal to both [itex]\vec v [/itex] and [itex] \vec y [/itex].

is that enough knowledge to complete the exercise?

thanks in advance.
 
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  • #2
Are particular values of v_1,v_2, or v_3 given anywhere prior to the exercise? What is the notation used in the section? e.g. are vectors denoted by the use of angle braces (e.g., [tex]\vec{v}=\left< 3,4\right>[/tex])?
 
  • #3
no values are given to v_1, v_2, or v_3.

The review problems are actually from Strang's Calculus (which I do not own). The professor picked this book and grabbed some review questions from it. The book for our class is Strang's Introdution to Applied Mathematics.

wait... he put that the questions are from Strang's Calculus on the top of the page. Since Strang uses italics as vector notation in the other book, I'm going to just assume that v_1, ... are actually vectors and in R^3.

:) I hope that is right though.
 
  • #4
I have stewart, what edition, page, and chapter?
 
  • #5
FrogPad said:
I'm confused on the following questions.

(1) Find a vector that is perpendicular to (v_1,v_2).
(2) Find two vectors that are perpendicular to (v_1,v_2,v_3.

This homework set was written by the professor (it is review) before we actually get into the new material. The notation the book uses is that italics variables names are vectors. However in this homework set the professor uses bold face to denote vectors.

I'm just unsure what the question is asking. Is (v_1,v_2) supposed to be 2 vectors in cartesian coordinates of the third dimension.
Or does (v_1,v_2) denote one vector with components v_1 and v_2. [\quote]
It wouldn't make sense to ask for a vector perpendicular to three vectors. I think it is clear that "v_1", "v_2", "v_3" are components of a vector. There are, of course, an infinite number of correct answers to these. Remember that two vectors are perpendicular if and only if their dot product is 0 and pick easy numbers.


I thought this review was going to be very straightforward, so I waited to the last minute (so I don't have time to ask him).

Anyways, any clarification would be helpful. What do you think it would be? I know that:

[tex] \vec v \cdot \vec y = 0 [/tex]
means that the vectors are orthogonal to each other.

and that
[tex] \vec v \times \vec y = \vec a [/tex]
means that [itex]\vec a[/itex] is orthogonal to both [itex]\vec v [/itex] and [itex] \vec y [/itex].

is that enough knowledge to complete the exercise?

thanks in advance.
All you really need is to know that two vectors are perpendicular if and only if their dot product is 0.

For example if I were asked to find 2 vectors both perpendicular to
<1, 3, -4>, I might choose <4, 0, 1> and <3, -1, 0>. Do you see why?
 
  • #6
OK... the homework was not actually due until Wednesday. Anyways I asked the professor today, and the v1,.. are actually components of the vector.

Halls:
I was thinking about using the cross product under the asssumption that v1,v2 were actually vectors. I thought it would be an easy way to compute a vector that is orthogonal to the two. Knowing that they are components makes it a pretty straightforward exercise using the dot product.

Thank you all,
 

FAQ: Clarifying Orthogonal Vectors: Understanding Homework Notation

What are vectors and what is orthogonality?

Vectors are mathematical objects that represent both magnitude and direction. Orthogonality refers to the perpendicularity, or right angle relationship, between two vectors.

How do you determine if two vectors are orthogonal?

Two vectors are orthogonal if their dot product (also known as the inner product) is equal to zero. This means that the angle between the two vectors is 90 degrees.

What is the significance of orthogonality in vector operations?

Orthogonality is important in vector operations because it allows us to easily break down a vector into its components and perform calculations. It also simplifies mathematical expressions and allows for efficient computation.

Can vectors be orthogonal in three dimensions?

Yes, vectors can be orthogonal in any number of dimensions. In three dimensions, two vectors are orthogonal if their dot product is equal to zero and they form a right angle.

How are orthogonal vectors used in real-world applications?

Orthogonal vectors are used in many fields, such as physics, engineering, and computer graphics. They are used to model forces, determine motion and direction, and create 3D graphics. They are also used in linear algebra for solving systems of equations and in data analysis for dimension reduction.

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