Determinant as Dot Product in R^2 Question

In summary, for fixed vector a, the determinant det(a,x) is a scalar-valued linear function of vector x in R^2. This means it can be written as the dot product of x with some fixed vector w. To show that w is perpendicular to a, we can calculate the inner product <a,w> and use the fact that det(a,a) = 0, leading to the conclusion that w is perpendicular to a. This holds true for any vector x, not just when x is parallel to a.
  • #1
sharpie
4
0

Homework Statement



In R^2, vectors x = (x1, x2) and a = (a1, a2). For fixed a, det(a, x) is a scalar-valued linear function of the vector x. Thus it can be written as the dot product of x with some fixed vector w. Explain why w is perpendicular to a. Do not use an expression of w in terms of the components of a.

Homework Equations


Anything involving the dot product, cross product, or determinants I suppose.

The Attempt at a Solution



If you simply calculate the determinant, it's clear to see that w = (-a2, a1), and that this is perpendicular to a.

I know that in R^3 that det(a, b, x) = (a x b) o x, and (a x b) is perpendicular to a and b, so in the original problem, saying that w is perpendicular to a may be some analog for that. I tried to gain some insight about why (a x b) is perpendicular to a and b follows from the properties of the determinant, but couldn't find anything useful.

I also noticed that if we assume that w is perpendicular to x then: w o x = det(a, b) = 0, so x must be parallel to a, which means that w is perpendicular to a. I tried to generalize this, but couldn't come up with anything.

I'm stumped. Thanks for your help, and sorry I have no idea how to use LaTex.
 
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  • #2
It's just a shot in the dark, but maybe Cramer's rule helps?
 
  • #3
sharpie said:

Homework Statement



In R^2, vectors x = (x1, x2) and a = (a1, a2). For fixed a, det(a, x) is a scalar-valued linear function of the vector x. Thus it can be written as the dot product of x with some fixed vector w. Explain why w is perpendicular to a. Do not use an expression of w in terms of the components of a.


Homework Equations


Anything involving the dot product, cross product, or determinants I suppose.


The Attempt at a Solution



If you simply calculate the determinant, it's clear to see that w = (-a2, a1), and that this is perpendicular to a.

I know that in R^3 that det(a, b, x) = (a x b) o x, and (a x b) is perpendicular to a and b, so in the original problem, saying that w is perpendicular to a may be some analog for that. I tried to gain some insight about why (a x b) is perpendicular to a and b follows from the properties of the determinant, but couldn't find anything useful.

I also noticed that if we assume that w is perpendicular to x then: w o x = det(a, b) = 0, so x must be parallel to a, which means that w is perpendicular to a. I tried to generalize this, but couldn't come up with anything.

I'm stumped. Thanks for your help, and sorry I have no idea how to use LaTex.

we are given that det(a,x) = La(x) for some linear function La.

in turn, that implies La is a linear functional on R2 (since it has a scalar as output), which means that La = <_,w>, for some vector w in R2.

that is: det(a,_) = La = <_,w>.

now, calculate La(a), using the LHS and RHS of the equation above, and what do you get?
 
  • #4
welcome to pf!

hi sharpie! welcome to pf! :smile:
sharpie said:
For fixed a, det(a, x) is a scalar-valued linear function of the vector x.

hint: so what is the value of that function at a ? :wink:
 
  • #5
Deveno said:
we are given that det(a,x) = La(x) for some linear function La.

in turn, that implies La is a linear functional on R2 (since it has a scalar as output), which means that La = <_,w>, for some vector w in R2.

that is: det(a,_) = La = <_,w>.

now, calculate La(a), using the LHS and RHS of the equation above, and what do you get?

tiny-tim said:
hi sharpie! welcome to pf! :smile:


hint: so what is the value of that function at a ? :wink:

If I am understanding both of you correctly, you are saying that det(a,a) must equal 0, so a o w = 0 meaning a and w are perpendicular. Doesn't that only prove that a and w are perpendicular when x = a though? Thanks for your help.
 
  • #6
sharpie said:
If I am understanding both of you correctly, you are saying that det(a,a) must equal 0, so a o w = 0 meaning a and w are perpendicular. Doesn't that only prove that a and w are perpendicular when x = a though? Thanks for your help.

You have that L( x ) = det ( a, x ) = < x, z > for some fixed z and any x. What is the condition for which det( a , x ) = 0? It's not *only* when x = a
 
  • #7
wisvuze said:
You have that L( x ) = det ( a, x ) = < x, z > for some fixed z and any x. What is the condition for which det( a , x ) = 0? It's not *only* when x = a

I am pretty unfamiliar with determinants, so I must be missing something. det( a, x ) = 0 whenever x is a constant multiple of a (in other words parallel?), or either a or x is zero, right? So then it can be shown that whenever x is parallel to a, w is perpendicular to a. But what about when x is not a multiple of a? Sorry, I must be missing something. Thanks.

EDIT: Oh wait. It's enough to show that whenever x is parallel with a, <x, w> = 0, because it shows that whenever w is dotted with something parallel to a you get zero, so w must be perpendicular to a. Is that correct?
 
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  • #8
one DEFINITION of perpendicularity between a and w is <a,w> = 0

(here <x,y> means an inner product, which in your case you may take to be the dot product in R2).

but what is <a,w> equal to?

next question: why do we know that det(a,a) = ___?

for a 2x2 matrix, this is very easy.

sharpie said:
If I am understanding both of you correctly, you are saying that det(a,a) must equal 0, so a o w = 0 meaning a and w are perpendicular. Doesn't that only prove that a and w are perpendicular when x = a though? Thanks for your help.

there can be LOTS of vectors perpendicular to w. so what? we're not interested in ALL the x such that <x,w> = 0, we're just interested in whether or not <a,w> = 0.

now, det(a,x) = 0 can be true for other values of x besides x = a. for example, x = 0 works, too. but that's besides the point. we're not trying to discover every vector x that makes det(a,x) = 0. we're interested in a particular vector and its relationship to w.
 
  • #9
hi sharpie! :smile:
sharpie said:
EDIT: Oh wait. It's enough to show that whenever x is parallel with a, <x, w> = 0, because it shows that whenever w is dotted with something parallel to a you get zero, so w must be perpendicular to a. Is that correct?

yes … the question tells you …
sharpie said:
For fixed a, det(a, x) is a scalar-valued linear function of the vector x. Thus it can be written as the dot product of x with some fixed vector w. Explain why w is perpendicular to a. Do not use an expression of w in terms of the components of a.

… ie there exists w such that det(a,x) = x.w for all x …

you have to find w, and 0 = det(a,a) = a.w :wink:
 
  • #10
Thanks everyone. Grr, I even said in the original post:
"I also noticed that if we assume that w is perpendicular to x then: w o x = det(a, b) = 0, so x must be parallel to a, which means that w is perpendicular to a. I tried to generalize this, but couldn't come up with anything. "
But I didn't think this was enough for some reason. I'm dumb, haha. Thanks again.
 
  • #11
sharpie said:
Thanks everyone. Grr, I even said in the original post:
"I also noticed that if we assume that w is perpendicular to x then: w o x = det(a, b) = 0, so x must be parallel to a, which means that w is perpendicular to a. I tried to generalize this, but couldn't come up with anything. "
But I didn't think this was enough for some reason. I'm dumb, haha. Thanks again.

i think this should be:

<w,x> = det(a,x) (we don't need to introduce an extra letter).

and you're almost correct. it's rather hard to think of the 0-vector as parallel to anything, but it IS perpendicular to everything (kind of by default).

and sure, geometrically speaking, if you visualize det as giving you the area of the parallelogram spanned by a and x, this parallelogram will have area 0 only if 1 side has length 0, or both sides are "pointing in the same direction".

the point of the problem is just to see what is happening conceptually, instead of relying on computation (because then you have to determine a coordinate system, but the geometric fact should be "coordinate-independent"), or as mathematicians like to say, without recourse to a basis.
 

Related to Determinant as Dot Product in R^2 Question

1. What is the determinant as a dot product in R^2?

The determinant as a dot product in R^2 is a mathematical concept that represents the signed area of a parallelogram formed by two vectors in a two-dimensional coordinate system. It is calculated by taking the dot product of the two vectors, which is the sum of the products of their corresponding components.

2. How is the determinant used in linear algebra?

The determinant is an important tool in linear algebra as it is used to determine whether a system of linear equations has a unique solution, no solution, or infinitely many solutions. It is also used to calculate the inverse of a matrix and to find the area of a parallelogram or volume of a parallelepiped in higher dimensions.

3. What is the geometric interpretation of the determinant as a dot product in R^2?

The geometric interpretation of the determinant as a dot product in R^2 is that it represents the signed area of the parallelogram formed by the two vectors. The sign of the determinant indicates the orientation of the parallelogram (clockwise or counterclockwise) and the magnitude represents the area of the parallelogram.

4. How is the determinant calculated in R^2?

In R^2, the determinant is calculated by taking the dot product of the two vectors, with one vector represented as a column vector and the other as a row vector. The formula for calculating the determinant in R^2 is: det(A) = ad - bc, where a, b, c, and d are the components of the two vectors.

5. Can the determinant be negative?

Yes, the determinant can be negative. The sign of the determinant depends on the orientation of the parallelogram formed by the two vectors. If the vectors are oriented counterclockwise, the determinant is positive, and if they are oriented clockwise, the determinant is negative. This is important to consider when using the determinant to solve a system of linear equations, as a negative determinant indicates that there is no unique solution.

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