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Mathematics 9 Online
OpenStudy (unklerhaukus):

Is the zero vector orthogonal to itself?

Parth (parthkohli):

No. Even though the dot product is zero, it isn't.

Parth (parthkohli):

*opinion

OpenStudy (perl):

(0,0,0,...,0) . (0,0,0...,0) = 0*0 + 0*0 + .. 0*0 = 0

Parth (parthkohli):

No vector can be orthogonal to itself.

OpenStudy (perl):

no non-zero vector can be orthogonal to itself

OpenStudy (fibonaccichick666):

cant be tangent to itself if equal, I say no as well.

OpenStudy (unklerhaukus):

Is the zero vector parallel to itself?

Parth (parthkohli):

Seems more convincing the more I think about it...

OpenStudy (perl):

(0,0,0...,0) = 1*(0,0,0...,0) therefore `0` vector is parallel to itself

OpenStudy (perl):

a vector `u` is parallel to vector `v` iff `u=k*v` , where k is not zero

ganeshie8 (ganeshie8):

\[\rm a\cdot b = 0 \implies a\perp b\] "One thing about math is, you're supposed to follolw the rules" - Gilberat Strang

OpenStudy (perl):

no matter how strange the conclusions

OpenStudy (perl):

maybe k can be zero, but im not sure

OpenStudy (michele_laino):

I think that the zero vector is orthogonal to itself. All vectors which are orthogonal to itself are called "isotropic vectors"

OpenStudy (perl):

all vectors? but theres only one vector orthogonal to itself

OpenStudy (michele_laino):

oops...allvectors which are orthogonal to themselves, are called isotropic vectors

OpenStudy (perl):

i mean theres only one such vector , the zero vector (im assuming)

OpenStudy (unklerhaukus):

I guess that makes it antiparallel to it self also \[(0,0,...,0)=-(0,0,...,0)\]

OpenStudy (unklerhaukus):

So what is the angle between two zero vectors? \(0\) or \(\pi/2\) , or \(\pi\)?

OpenStudy (michele_laino):

yes, with respect to the canonical scalar product, the zero vector is orthogonal to itself

OpenStudy (michele_laino):

since the zero vector has no direction

OpenStudy (unklerhaukus):

so the angle is \(\emptyset\)?

OpenStudy (michele_laino):

yes by definition if you like

Parth (parthkohli):

Eh, then it makes all possible angles with itself.

OpenStudy (unklerhaukus):

@Michele_Laino I looked up a definition of 'isotropic vector' and this page says the zero vector is not isotropic http://www.encyclopediaofmath.org/index.php/Isotropic_vector

OpenStudy (michele_laino):

Please note that the orthogonality is a concept relative to the scalar product which we are considering

OpenStudy (michele_laino):

yes! Sorry you are right! @UnkleRhaukus Nevertheless the vectors which are orthogonal to themselves exist

OpenStudy (unklerhaukus):

I think we need some non-empty angle for the trig functions to work, so it seems that any angle is equally valid

OpenStudy (michele_laino):

Sorry again @UnkleRhaukus I was too much hurry!!

OpenStudy (unklerhaukus):

the angles between zero vectors, depend on which formula you use

OpenStudy (michele_laino):

better is to say that the scalar product between two vectors depends on which bilinear positive definite form you are using, I think!

OpenStudy (michele_laino):

or which bilinear form (negative, positive, or undefined) you are using, since not all bilinear forms are positive definite

ganeshie8 (ganeshie8):

i thinik we can use two different terms : orthogonal and perpendicular zero vector is orthogonal to every vector but we cannot say it is perpendicular to any vector \[ \mathrm{a\cdot b} =0 \iff \mathrm{a} , \mathrm{b} \text{ are orthogonal}\] \[ \theta =\frac{\pi}{2} \iff\mathrm{a} , \mathrm{b} \text{ are perpendicular}\]

OpenStudy (unklerhaukus):

\[a\perp b \iff a\cdot b=0\iff\theta=\frac\pi2\iff a\propto ib\]

OpenStudy (unklerhaukus):

what is the difference between perpendicular and orthogonal @ganeshie8 ?

ganeshie8 (ganeshie8):

i wouldn't dare saying something like that haha!

ganeshie8 (ganeshie8):

angle being 90 degrees can be taken as definition of perpendicularity

ganeshie8 (ganeshie8):

https://www.youtube.com/watch?v=5AWob_z74Ks#t=1274

ganeshie8 (ganeshie8):

khan is saying there is a difference between the two terms but in linear algebra we always use them as synonyms http://mathworld.wolfram.com/OrthogonalVectors.html

ganeshie8 (ganeshie8):

http://mathworld.wolfram.com/Perpendicular.html

OpenStudy (anonymous):

one thing u need to consider , u should look for axioms systems before work in vectors they consider 0 vector as the additive identity why ? 1-it has no value 2- it has no direction in all systems of works the definition of addictive identity is the value that has no defined quantum in our system . this lead us to this , 0 vector has no direction in first place thus i can't work with it for directions properties . THE END.

OpenStudy (anonymous):

to continue with u , if u considers 0 is orth. to itself that means 0 is orth to all vectors that we can define . which looks not true to say , however orth means there is no leaner relation or means vectors are independent , but 0 can be written as 0=0.V which contradict to our claim that its orth.

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