Linear dependency of Vectors above R and C and the det

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Discussion Overview

The discussion revolves around the linear dependency of vectors in complex and real vector spaces, specifically examining the vectors v1 = (3i, 2) and v2 = (-3, 2i) in C^2 and R^2. Participants explore the implications of determinants in these contexts and the differences in linear dependence when considering complex versus real numbers.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant asserts that v1 and v2 are dependent over C since v1 * i = v2, but questions their dependency over R based on the determinant being zero.
  • Another participant clarifies that the vectors have 2 entries over C but 4 entries over R, suggesting that the determinant method still applies over R if expressed in a real basis.
  • A different participant emphasizes that treating the vectors over R changes the interpretation of i, leading to a different determinant calculation that does not yield zero.
  • One participant points out that a 2x4 matrix indicates linear dependence among the columns, prompting a question about expressing the vectors in a real basis.
  • Another participant suggests that a real basis for C^2 consists of vectors like (1,0), (i,0), (0,1), (0,i), and provides a method to express v1 and v2 in this basis, leading to a non-zero determinant and indicating independence over R.
  • One participant notes that complex multiplication allows for rotation between vectors, implying that linear dependence in R^2 is restricted to parallel vectors.

Areas of Agreement / Disagreement

Participants express differing views on the linear dependence of the vectors in R versus C, with some asserting dependence in C and independence in R, while others challenge this interpretation. The discussion remains unresolved regarding the implications of the determinant in both contexts.

Contextual Notes

There are limitations regarding the assumptions made about the basis used for the vectors and the interpretation of the determinant in different fields. The discussion highlights the complexity of transitioning between complex and real vector spaces without resolving these nuances.

Dank2
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consider the two vectors v1 = (3i, 2), v2 = (-3, 2i). in C^2

Above C we get, v1 * i = v2, therefore they are dependent.

Now above R, we can't see that they are dependent.

Why if i take the determinant of those vectors i get get 0 |v1 v2| = 2x2 matrix = 0 ( which means two column vectors are independent). Does the determinant works only above C in this case because above R they are independent and yet we get same result of the determinant?
 
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those vectors have 2 entries over C but 4 entries over R. Then the (real) matrix of the two vectors is 2 x 4, and it will not have all 2x2 sub determinants equal to zero. so the determinant method still works over R, but you have to express the vectors in terms of a real basis, which takes 4 basis vectors, hence 4 real entries for your vectors.
 
Your vectors are part of ##ℂ^2## and linearly dependent over ##ℂ## as you correctly said.

What you are next doing is to confuse different concepts.
If you regard the vectors over ##ℝ##, then ##i## is no longer a scalar and ##i^2 = -1## cannot be calculated. Your determinant is therefore ##6i^2 + 6## which is different from ##0 \in ℝ##. ##i## plays the same role as a variable would do,
i.e. ## v_1, v_2 ∈ ℝ^2[x] ≅ ℝ^2[\text{i}] ##.
 
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mathwonk said:
those vectors have 2 entries over C but 4 entries over R. Then the (real) matrix of the two vectors is 2 x 4, and it will not have all 2x2 sub determinants equal to zero. so the determinant method still works over R, but you have to express the vectors in terms of a real basis, which takes 4 basis vectors, hence 4 real entries for your vectors.
but 2x4 matrix over R means the columns are are linearly dependent. how do i write the vectors are above as 4 vector basis in R? and how do i see they are linearly independent above R in that matrix?
 
maybe i should have said 4x2. then the columns are vectors of length 4. a real basis of C^2 is e.g., (1,0), (i,0), (0,1), (0,i). in that basis (3i,2) has real coordinate (row, since i can't write columns here) vector (0, 3, 2, 0), and (-3,2i) has coordinate vector (-3, 0, 0, 2). then the first 2x2 determinant equals 9 or -9 depending on what order you write the vectors. since there is a non zero 2x2 determinant the vectors are independent over R.
 
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Complex multiplication allows one vector to be rotated to another vector. So they will be linearly dependent. Multiplication of vectors in R2 by real numbers can not rotate a vector. So two vectors in R2 can be linearly dependent only if they are parallel.
 

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