Hi Giselle,
Dual spaces allow us to project/extend a vector space into a "mirror" vector space with all the linear functionals (addition and multiplication) from the original space. Dual spaces also allow us to determine the scalar product of a vector on itself, and evolve scalar descriptions for vector spaces. In other words:
Consider a vector space V over the space of a field F. The dual vector V* is defined as all the linear maps Φ: V → F.
Dual vectors make a "mirror dimension" of vectors V* which we call the (complex) conjugate of the vector. When we endow the dual space with addition and multiplication, the vector space V* becomes a vector space over F satisfying the same vector space properties as V.
Dual vectors allow us to find NORMS. Choose V = (a, b), where a, b ∈ C (complex numbers.) Then V* = (a*,b*), and VV* = V*V with |V| = √(V*V) = √(VV*)=√[(a,b)(a*,b*)]=√(aa*+bb*). If a and b are real, then we have the Pythagorean theorem, with |V| as the radius.
I Hope this helps.
Feymann K.
We can have inner product and norm directly from space V. I don’t know why we need dual space which is just to be a functional on V itself. It should have another purpose. Anyone can help?10/17/20