if (x+2)(x-6)=0 then we say either x+4=0 or x-6=0 why not we say x+4=0 and x-6=0?
Well x is either -4 or it's 6, it can't be both...
That's... yeah... pretty much the sum of it. x can only have a distinct value.
if (x+2)(x-6)=0 then we can not say either x+4=0 or x-6=0
pretend that x is like time. It is either 4 minutes ago or 6 minutes in the future, it cannot be both at the same time not even in Back to the Future
Ha! FFM! We can say that x+2 = 0 or x-6 = 0 :-P
Yep!
ok when we have xy=0 then why we say either x=0 or y=0 why not we say x=0 and y=0
Hahaha you were the only one to notice.
It's an inclusive "or".
If it's xy = 0 then x and y COULD both be 0, or one could be 0.
its either
You can't work anything out from xy = 0. If you're given that as an equation, the absolute best you can calculate is that either one or both x and y are equal to 0. Beyond that only speculation is possible, as if one variable is 0 the product is 0 and the other could therefore be anything.
(I mean literally xy = 0. Obviously you can work out {equation containing x and y} = 0).
if (x+4)(x-6)=0 then we say either x+4=0 or x-6=0 The constraint "or" is to avoid division by zero.
are all of u sure that if xy=0 then both x and y can be zero. 100% sure?
It is like saying I will go get groceries on Tuesday or Wednesday, you need to do it one of the days, but you may go both days as well.
Yes :)
They can both be zero, absolutely, but they do not have to both be zero and in most math problems the are not both zero.
\( xy=0 \) If both are zero, then \( x = \frac{0}{y} \) but y is zero too, Disaster !!!
FFM I dunno if this is the thread to bring that up :)
have any of u read vector space. in which i have read if v is a vector and k is a constant/scalar then if kv=0 and v=0 then v is linearly dependent bcz k would be non zero.
That is not correct, regarding vector spaces.
But if we have xy = 0, we cannot assume x = 0/y is a viable option. If we have xy = 0, then they both may be zero.
>"But if we have xy = 0, we cannot assume x = 0/y is a viable option" why ? That's an equation, division by \( y \) on both sides is perfectly valid.
No it's not. Division by zero is never valid.
Yes that's why we can't have both zero.
who is to say that y is a function of x?
what is the logic of ur answer. anything is correct for calculus is false for vector spaces.
That's why the "or"
That's not true at all.
i define x=0 and y=0 then xy=0.....both zero
You may only divide if you make the assumption that y is not zero.
lol, Zarkon that's alright then, I assumed y is the dependent variable ;)
I don't understand what that has to do with anything... two quantities multiplied together equals zero. Either the first is zero, the second is zero, or both are.
It depends on the definition on X = (x+4) and Y=(x-4), and (x+4)(x-4)=0 then we can't have both zero, as they have same independent variable
in order for ab = 0, only one value needs to be zero. They can't both be zero because a doesn't equal b. They have to be two different numbers.
Just because we have multiplication, it does not mean that we can divide. This is the reason we get extraneous solutions in algebra. If we have a = 5 and x(a - 5) = 0 we cannot divide both sides by a-5.
but if x and y are not defined then?
what do you mean be not defined ? They have to defined.
Obviously if y = (x+2) both can't be zero but we resolved that question like four posts in. In general, xy = 0 implies x = 0, y = 0, or both x and y = 0.
In general, xy = 0 implies x = 0, y = 0, or both x and y = 0. -- No, the both part depends on the definition of x and y.
ab = 144 implies that a and b are different? Abe is 12 and Barney is 12, they are twin brothers, who happen to be 12, they cannot be the same age?
as for your vector space question...are you asking if the the set consisting of only the zero vector linearly dependent?
In general. In general. In general.
If they are not defined, then they are unknown and they may BOTH be zero
In general I always assume y is a function of x ;)
a = 3 b = 0 3*0 = 0 a = 0, b = 4 0*4 = 0 When dealing with factorable quadratics, a and b will never both be zero.
haha FFM have you never worked with two variables, then? And Hero, yeah, but that's not what I am talking about.
yes zarkon i want to ask the same
(0)(0)=0
For a^2 - b^2 = 0 One solution is a = 4 and b = 4
JeMurray, I was only talking to Rosy, not you.
the set \[S=\{\vec{0}\}\] is a linearly dependent set
Duly noted Hero, sorry :)
they can be both equal to 0
how it is linearly dependent zarkon?
it is dependent because you can write a linear combination equal to zero in a nontrivial way
@zarkon that's what i want to ask if we write it in non-trivial way then it means scalar is non zero i.e if kv=0 and v=0 then k must be non zero. means in kv=0 k and v both can't be both zero but in xy=0 all of you have said that both can be zero what is this?????????????????????? please answer me soon.........
Let me clarify what I think you mean when you talk about vector spaces. Let V be a vector space containing three vectors, \[ V = \{\vec{v}_1, \vec{v}_2, \vec{v}_3 \}\] The vectors \[\vec{v}_1,\vec{v}_2,\text{ and } \vec{v}_3\] are linearly dependent if you can write \[a\cdot \vec{v}_1 + b\cdot \vec{v_2} + c\cdot \vec{v_3} = \vec{0}\] where a, b, and c are not all zero. Zarkon said that the collection \[V = \{\vec{0}\} \] is linearly dependent. This is of course true, because \[ a \cdot \vec{0} = \vec{0} \] for any constant number a.
yes but it can be linearly dependent when a is not equal to zero and question still remain the same why it can not be zero why?????????????
There is no mathematical reason that a could not be zero. We simply don't allow a to be zero when we're talking about linear dependence.
a=0 works (\(0\vec{0}=\vec{0}\)), but so does a=5 or a=-7 all the definition says (for linear dependent) is that there is a way to write the linear combination so that not all the coefficients are zero, but the L.C. is the zero vector
i think you do not understand my que. i am just asking that in linear dependence we say if v=0 then kv=0 is linear dependent bcz k is non zero on the other hand in xy=0 we say both x and y can be zero. isn't it strange???
S={v} , (v=\(\vec{0}\)) is linearly dependent because it is possible to write kv=\(\vec{0}\) where k is not zero. you could also let k=0 then it is still true that kv=\(\vec{0}\)
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