Understanding C^2 and Finding a Basis for V in [T]_beta for Complex C

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In summary, the conversation discusses finding a basis for the two-dimensional complex vector space, C^2, that allows for diagonalization of the linear operator T defined by T(z,w) = (z+iw, iz+w). The basis {(1,1), (1,-1)} is identified as the correct answer, and it is noted that this basis is equivalent to the standard basis of C^2. The importance of visualizing mathematics is also discussed.
  • #1
loli12
I was asked to find a basis beta for V such that [T]_beta is a diagonal matrix.
V=C^2 and T is defined by T(z,w) = (z+iw, iz+w)
for C = complex.
I don't quite understand the expression C^2, I know C can be represented by a plane with the real and imaginery axis, but how abt C^2?
and also, how do i figure out the basis for this? I used (1,0) and (0,1) as my basis and I got the right answer.. but the basis doesn't seem right to me intuitively.
 
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  • #2
C^2 is two dimensional complex vector space.

Presumably you're happy with R^2T is not diagonal with respect to that standard basis.
 
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  • #3
The cartesian product between [itex] \mathbb{C} [/itex] and [itex] \mathbb{C} [/itex] is written [itex] \mathbb{C}\times \mathbb{C} [/itex] and commonly written as [itex] \mathbb{C}^{2} [/itex].

Daniel.
 
  • #4
"C^2 is two dimensional complex vector space."
does this means that geometrically it has 4 axis in total?

so, what is the basis for C^2?
intuitively I thought the basis is {(1,0), (0,1), (i,0),(0,i)} , but i think there're way too many vectors..
and (1+i , 0), (0, 1+i) seems like can't span the whole space..

anyone can let me know what the basis for C^2 is?
 
  • #5
loli12 said:
intuitively I thought the basis is {(1,0), (0,1), (i,0),(0,i)} , but i think there're way too many vectors..
and (1+i , 0), (0, 1+i) seems like can't span the whole space..

You're considering C^2 as a vector space over what field?
 
  • #6
the question said for the linear operators T on a vector space V, if T is diagonalizable, find a basis beta for V suh that [T]_beta is a diagonal matrix.
the answer for this question is beta = {(1,1) , (1,-1)}
but I still have no clue on the basis... please give me some hint!
 
  • #7
Well, we usually say that [itex] \mathbb{C}^2 [/itex] is a 2-dimensional vector space over the field of complex numbers, i.e. [itex] \mathbb{C} [/itex]. A basis in this vector space is made up of
[tex] \left(\begin{array}{c} 1\\0 \end{array} \right) \ \mbox{and} \ \left(\begin{array}{c} 0\\1 \end{array} \right) [/tex]

Daniel.
 
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  • #8
C^2 is two dimensional over C, you are already using a basis implicitly when you define T(z,w)=(z+iw,w+iz). It is the 'standard basis' and it is given by (0,1) and (1,0) which is a basis for C^2 because you're allowed to multiply these by any complex number ie (3+i,1+2i) = (3+i)*(1,0)+(1+2i)*(0,1)

Suppose I asked you to diagonalize the REAL operator

T(x,y)=(x+y,x-y)

given with respect to the standard basis on R^2. Then you'd have no trouble doing it. This is exactly the same except that you're allowed to use complex numbers not just real ones.
 
  • #9
loli12 said:
I was asked to find a basis beta for V such that [T]_beta is a diagonal matrix.
V=C^2 and T is defined by T(z,w) = (z+iw, iz+w)
for C = complex.
I don't quite understand the expression C^2, I know C can be represented by a plane with the real and imaginery axis, but how abt C^2?
and also, how do i figure out the basis for this? I used (1,0) and (0,1) as my basis and I got the right answer.. but the basis doesn't seem right to me intuitively.

If you know how to find a basis for R^2, well then that's exactly how you do it. The same principle applies to C^2.

Note: I try not to worry about the visual representation of it. That might be bad, but I'm doing fine without the visual representation. I have some for things like linear independence/depence, but it's still not necessary because it all comes from the definition.
 
  • #10
Thanks all for the reply! I got it now!
 
  • #11
It is not bad to do without visualization, it is very necessary, and it is bad to rely on visualization; the amount of maths that it visualizable is tiny and you should not rely on visualizing it (which I disinguish from having geometric intuition)
 

FAQ: Understanding C^2 and Finding a Basis for V in [T]_beta for Complex C

What is C^2 in relation to complex numbers?

C^2 refers to the set of all ordered pairs of complex numbers (a,b) where a and b are both complex numbers. This is commonly known as the complex plane or the Argand plane.

How do you find a basis for V in [T]_beta for complex C?

To find a basis for V in [T]_beta for complex C, you can use the Gram-Schmidt process. This involves starting with a set of linearly independent vectors, and then using orthogonalization to transform them into a basis for V. Alternatively, you can also use the Rank-Nullity theorem to determine the dimension of V and then find a set of linearly independent vectors that span V.

What is the significance of a basis in complex C?

A basis in complex C is important because it allows us to represent any complex number as a linear combination of the basis vectors. This helps in understanding the structure of complex numbers and performing calculations with them.

How does understanding C^2 and finding a basis for V in [T]_beta for complex C apply to real-world applications?

Understanding C^2 and finding a basis for V in [T]_beta for complex C has various applications in fields such as engineering, physics, and signal processing. For example, in engineering, complex numbers are often used to represent electrical circuits and finding a basis for V can help in analyzing and designing these circuits. In physics, complex numbers are used in quantum mechanics and finding a basis for V can aid in solving complex equations and understanding the behavior of quantum systems.

What are some common operations performed on complex numbers using basis vectors?

Some common operations performed on complex numbers using basis vectors include addition, subtraction, multiplication, division, and finding the magnitude and phase of a complex number. Basis vectors can also be used to rotate and scale complex numbers, as well as to represent complex functions and perform operations on them.

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