Vector Space Dimension: Real vs Complex Coefficients

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SUMMARY

The discussion centers on proving that the dimension of a vector space V over the complex numbers C is twice the dimension over the real numbers R, specifically showing that if {x1, ..., xn} is a basis for V over C, then {x1, ..., xn, ix1, ..., ixn} forms a basis for V over R. The key steps involve demonstrating the linear independence of the new basis and showing that any element of V can be expressed as a linear combination of these basis vectors using real coefficients.

PREREQUISITES
  • Understanding of vector spaces over complex and real fields
  • Familiarity with the concepts of basis and dimension in linear algebra
  • Knowledge of linear independence and linear combinations
  • Basic proficiency in complex numbers and their properties
NEXT STEPS
  • Study the properties of vector spaces over different fields, focusing on complex and real numbers
  • Learn about linear independence and how to prove it in vector spaces
  • Explore the concept of basis and dimension in linear algebra
  • Investigate applications of complex vector spaces in advanced mathematics and physics
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Students and educators in mathematics, particularly those studying linear algebra, as well as researchers exploring complex vector spaces and their applications.

ak123456
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Homework Statement


Let V be a vector space over C of dimenson n . We view V also as a vector space over R by restricting the scalar multiplication of C on V to R .Show that dimR(V) = 2n


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The Attempt at a Solution


I have to show that if x1,...xn form a basis of V over C then x1,...xn ix1,...ixn form a basis of V over R
but i still confuse about it
 
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Hi ak123456! :smile:
ak123456 said:
I have to show that if x1,...xn form a basis of V over C then x1,...xn ix1,...ixn form a basis of V over R

That's right! :smile:

First prove that they are independent.

Then start with any element of V, and prove that it is a combination of them, with real coefficients :wink:
 

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