Defining Norms on R^2: \|+ and \|4

  • Thread starter gtfitzpatrick
  • Start date
In summary, we have discussed the definition of a normed linear space and how to verify if a function satisfies the axioms of a norm. We have also looked at two specific functions, \|\ \|+ and \|\ \|3, and determined that \|\ \|+ is a norm but \|\ \|3 is not.
  • #1
gtfitzpatrick
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0

Homework Statement



Are the following norms defined on R ^2

1. [tex]\left\right\|\|[/tex]+ defined by [tex]\left\right\|\|[/tex]+ = [tex]\left|x1\right|[/tex] + [tex]\left|x2\right|[/tex]

2. [tex]\left\right\|\|[/tex]4 defined by [tex]\left\right\|\|[/tex]4 = 4[tex]\left|x1\right|[/tex]

Homework Equations


The Attempt at a Solution

 
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  • #2
You should post the definition of "norm", and your attempt to check if the conditions in the definition of "norm" are satisfied by the functions defined in the problem.

Also, the definitions of the two functions that you posted are incomplete. What do you mean by x1 and x2? Did you mean that [itex]\|\ \|+[/itex] is defined by [itex]\|(x_1,x_2)\|+=|x_1|+|x_2|[/itex]?
 
  • #3
for 1
[tex]\left|x1\right|[/tex] + [tex]\left|x2\right|[/tex] [tex]\geq[/tex] 0 for all x1,x2 [tex]\in[/tex] R so axiom 1 holds
for axiom 2 (= 0 ) iff x1 and x2 = 0 so axiom 2 holds
axiom 3 = [tex]\left|\alpha\right|[/tex] ([tex]\left|x1\right|[/tex] + [tex]\left|x2\right|[/tex]) so axiom 3 holds
axiom 4 [tex]\left|x+y\right|[/tex] = [tex]\left|x1+y1\right|[/tex] + [tex]\left|x2+y2\right|[/tex] so axiom 4 holds right?
 
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  • #4
all my symbols are getting jumbled up when i save my msg, and some of them arent even there :(
 
  • #5
You need to be more explicit. To verify that what you call "axiom 4" is satisfied, your calculation must start with

[tex]\|\vec x+\vec y\|_+=\|(x_1,x_2)+(y_1,y_2)\|_+=\|(x_1+y_1,x_2+y_2)\|=|x_1+y_1|+|x_2+y_2|[/tex]

and end with

[tex]|x_1|+|x_2|+|y_1|+|y_2|=\|\vec x\|_+ +\|\vec y\|_+[/tex]. (Edit: I made a mistake here that I didn't spot until I wrote post #10. I have corrected the mistake now).

and there must be a [itex]\leq[/itex] somwhere in the part of the calculation that connects the first line with the second. Can you show that

[tex]|x_1+y_1|+|x_2+y_2|\leq |x_1|+|x_2|+|y_1|+|y_2|[/tex]?

gtfitzpatrick said:
all my symbols are getting jumbled up when i save my msg, and some of them arent even there :(
It's a known bug. You need to refresh and resend after each preview.

Edit: You can edit your posts for 12 hours. Looks like the LaTeX in the post below this one needs some work. :smile: You don't need that many tex tags. Click the quote button next to one of my posts, and you'll see how I'm doing it. Remember that you need to refresh and resend after each preview.
 
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  • #6
A normed linear space is a vector space together with a function( called the norm)(norm=ideal length of vector)
 
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  • #7
what the heck?
 
  • #8
You can still edit the messed up post. See my comments at the end of post #5.
 
  • #9
thanks for the help Fredrik. I was using firefox, don't think that was helping either.

[tex]
\|\vec x+\vec y\|_+=\|(x_1,x_2)+(y_1,y_2)\|_+=\|(x_1+y_1,x_2+y_2 )\|=|x_1+y_1|+|x_2+y_2|
[/tex]


[tex]
|x_1+y_1|\leq |x_1|+|y_1|
[/tex]

and

[tex]
|x_2+y_2|\leq |x_2|+|y_2|
[/tex]

so implies


[tex]
|x_1+y_1|+|x_2+y_2|\leq |x_1|+|y_1|+|x_2|+|y_2|
[/tex]

[tex]
\leq |x_1|+|x_2|+|y_1|+|y_2|
[/tex]
but
[tex]
|x_1|+|x_2|\geq |x_1+x_2|
[/tex]
and
[tex]
|y_1|+|y_2|\geq |y_1+y_2|
[/tex]


so

[tex]
|x_1+x_2|+|y_1+y_2|=\|\vec x\|_+ +\|\vec y\|_+
[/tex]
 
  • #10
gtfitzpatrick said:
I was using firefox, don't think that was helping either.
I'm using Firefox too. It's the most popular browser here (acccording to this thread). The bug is the same in all browsers. I should also mention that if you use itex tags instead of tex tags, some of the larger characters might get their tops cut off.I see now that I made a mistake in #5. I used the definition of [itex]\|\ \|_+[/itex] incorrectly. I just edited #5 to correct it. Now that #5 is correct, I see that the only thing I didn't include in #5 is the triangle inequality for absolute values of real numbers, which you just used in #9.

[tex]\|\vec x+\vec y\|_+=\|(x_1,x_2)+(y_1,y_2)\|_+=\|(x_1+y_1,x_2+y_2)\|=|x_1+y_1|+|x_2+y_2|[/tex]

[tex]\leq |x_1|+|y_1|+|x_2|+|y_2|=|x_1|+|x_2|+|y_1|+|y_2|=\|\vec x\|_+ +\|\vec y\|_+[/tex]
 
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  • #11
Thanks fredrik for the help

it would be likewise if i started out with say
[tex]
\|(x_1,x_2)\|+=|x_1|+3|x_2|
[/tex]

axiom 1 holds [tex]
\|x_1|+3|x_2|> 0
[/tex]

axiom 2 holds [tex]
\|x_1|+3|x_2|= 0
[/tex] iff [tex]\vec x = \vec0[/tex]

axiom 3 holds [tex]
\|\alpha\vec x\|_+=|\alpha x_1|+ 3|\alpha x_2|=|\alpha| |x_1|+3|\alpha| |x_2|=|\alpha| (|x_1|+3|x_2|) = |\alpha| \|\vec x\|_+ [/tex]

axiom 4 holds [tex]
\|\vec x+\vec y\|_+=\|(x_1,x_2)+(y_1,y_2)\|_+=\|(x_1+y_1,x_2+y_2 )\|=|x_1+y_1|+3|x_2+y_2|
\leq |x_1|+|y_1|+3|x_2|+3|y_2|=|x_1|+3|x_2|+|y_1|+3|y_2|=\|\vec x\|_+ +\|\vec y\|_+[/tex]

think this is ok? now i'll give part 2 a go
 
  • #12
part 2

[tex]
\|\vec x\|_3 = 3|x_1|
[/tex]

axiom 1 holds [tex]
3|x_1|> 0
[/tex] if [tex] x_1 > 0 [/tex]

axiom 2 doesnt hold [tex]
3|x_1|= 0
[/tex] if [tex]
x_1 = 0 [/tex] but [tex] x_2 > 0
[/tex] so its not = 0 iff [tex]
\|\vec x\|_3 = \vec 0
[/tex]

think this is ok? its not a norm
 
  • #13
Looks pretty good.

To prove that a function isn't a norm, a single example of a vector that doesn't satisfy an axiom is sufficient. For example, (0,1) violates axiom 2:

[tex]\|(0,1)\|_3=0,\quad(0,1)\neq\vec 0[/tex]

So there's no need to mention that you checked axiom 1. If there had been a need to show that you verified that axiom 1 holds, you should have said that for any [itex]\vec x[/itex], we have [itex]\|\vec x\|_3=3|x_1|\geq 0[/itex], because the absolute value of any real number is non-negative. The part where you say "if [itex]x_1>0[/itex]" is strange and unnecessary.
 
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  • #14
Got it, thanks a million. i guess I've already said its a real number, and abolutle value must be positive.no need to restate it.
Thanks for all the help
 

1. What is R^2 and why is it used in defining norms?

R^2 refers to the Cartesian coordinate system, also known as the x-y plane. It is commonly used in mathematics and science to represent points and vectors in two-dimensional space. Norms on R^2 are used to measure the magnitude or size of a vector in this space.

2. What is the \|+ norm on R^2?

The \|+ norm, also known as the Manhattan norm or the taxicab norm, is a type of norm used to measure the distance between two points in two-dimensional space. It is calculated by adding the absolute values of the differences between the x and y coordinates of the two points.

3. What is the \|4 norm on R^2?

The \|4 norm, also known as the Euclidean norm, is a type of norm used to measure the distance between two points in two-dimensional space. It is calculated by taking the square root of the sum of the squares of the differences between the x and y coordinates of the two points.

4. How do you determine which norm to use on R^2?

The choice of which norm to use on R^2 depends on the specific problem or situation. The \|+ norm is useful when the directions of the two points are important, while the \|4 norm is useful when the magnitude of the difference between the two points is the main focus. Other norms, such as the \|p norm, can also be used depending on the context.

5. Are there any real-life applications of norms on R^2?

Yes, norms on R^2 have many real-life applications, such as in physics, engineering, and economics. For example, the \|4 norm is commonly used in analyzing financial data to measure the difference between stock prices over time. The \|+ norm is also used in transportation and navigation to calculate the most efficient routes between two points.

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