Complex Conjugate Vector Space

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The discussion revolves around understanding the notation and properties of complex-valued functions in the context of vector spaces, specifically in relation to Hoffman & Kunze's Linear Algebra. The key point is the requirement that for a function f, f(-t) equals the complex conjugate of f(t), leading to the conclusion that the real and imaginary parts of f must behave as even and odd functions, respectively. There is confusion regarding the closure property under addition, particularly when combining two functions that may yield an imaginary part. Participants clarify that the conjugate is only applied when evaluating f at -t, not at t itself. Overall, the conversation highlights the nuances of complex function behavior in vector space definitions.
dkotschessaa
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I'm confused about some of the notation in Hoffman & Kunze Linear Algebra.

Let V be the set of all complex valued functions f on the real line such that (for all t in R)

f(-t) = \overline{f(t)} where the bar denotes complex conjugation.

Show that V with the operations (f+g)(t) = f(t) + g(t)
(cf)(t) = cf(t) is a vector space over the field of real numbers. Give an example of a function in V which is not real valued.
Before I can even approach the question I need to clarify what is happening here.

I'm not sure why it is written as ##f(-t) = \overline{f(t)} ##

Am I correct that ## f(a) = a - 0i = a ## (since a is real).
## f(-a) ## would be ## a + 0i = a ##

Obviously I have some confusion here.

Also, with the addition properties given above, would I not have:

## (f+g)(t) = f(t) + g(t) = \overline{f(-t)} + \overline{g(-t)} ##

In particular I am confused when I try to show closure under the real numbers. since ##(a_{1} + b_{1}i) + (a_{2} + b_{2}i)## gives me (I think) something like ## a_{1} + a_{2} + (b_{1} + b_{2})i ##Unless I'm supposed to be adding something to it's OWN conjugation, in which case the imaginary part would cancel, which would be nice. Is that what I am supposed to do?

Appreciate any help

-Dave K
 
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dkotschessaa said:
I'm confused about some of the notation in Hoffman & Kunze Linear Algebra.

Let V be the set of all complex valued functions f on the real line such that (for all t in R)

f(-t) = \overline{f(t)} where the bar denotes complex conjugation.

Show that V with the operations (f+g)(t) = f(t) + g(t)
(cf)(t) = cf(t) is a vector space over the field of real numbers. Give an example of a function in V which is not real valued.



Before I can even approach the question I need to clarify what is happening here.

I'm not sure why it is written as ##f(-t) = \overline{f(t)} ##

Am I correct that ## f(a) = a - 0i = a ## (since a is real).
## f(-a) ## would be ## a + 0i = a ##
No, you are not correct. If f(x) is NOT necessarily equal to x! For any real x, f(x) is some complex number depending upon x. It might be, for example, f(x)= xi or f(x)= 3x- x^3i. More generally, f(x)= g(x)+ h(x)i where g and h are real valued functions of x.

The requirement that f(-t)= \overline{f(t)} means that g(-t)= g(t) and h(-t)= -h(t). That is, g is an "even" function and h is an "odd" function.

Obviously I have some confusion here.

Also, with the addition properties given above, would I not have:

## (f+g)(t) = f(t) + g(t) = \overline{f(-t)} + \overline{g(-t)} ##

In particular I am confused when I try to show closure under the real numbers. since ##(a_{1} + b_{1}i( + (a_{2} + b_{2}i)## gives me (I think) something like ## a_{1} + a_{2} + (b_{1} + b_{2})i ##


Unless I'm supposed to be adding something to it's OWN conjugation, in which case the imaginary part would cancel, which would be nice. Is that what I am supposed to do?

Appreciate any help

-Dave K
 
HallsofIvy said:
No, you are not correct. If f(x) is NOT necessarily equal to x! For any real x, f(x) is some complex number depending upon x. It might be, for example, f(x)= xi or f(x)= 3x- x^3i. More generally, f(x)= g(x)+ h(x)i where g and h are real valued functions of x.

I meant that if a is just some integer, for example. What is f(a)? a = a + 0i, whose conjugate is a = 0i,which is a. Perhaps my thinking is not function-oriented enough here.

The requirement that f(-t)= \overline{f(t)} means that g(-t)= g(t) and h(-t)= -h(t). That is, g is an "even" function and h is an "odd" function.

That sheds a bit more light, but I'm still confused about closure.

If I have ## f(-x)= g(x)+ h(x)i ## and ## f'(x) = g'(x)+ h'(x)i ## I still wind up with something with an imaginary part when I add them.

-Dave K
 
Am I only taking the conjugate when I have ## f(-t) ## and not when I have just ## f(t) ## as is originally defined? i.e. ## f(-t) = \overline{f(t)} ## but ## f(t) = f(t) ## (not conjugated)?
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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