What is an infinite-dimensional vector space and the theorems or axioms that define an infinite-dimensional vector space?

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
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General Advanced Linear Algebra question:

What is an infinite-dimensional vector space and the theorems or axioms that define an infinite-dimensional vector space?

 

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A vector space V over field F is said to be infinite dimensional vector dimension, if there are infinitely many linearly independent vectors in the basis of V. That, the vector space V is not spanned by a finite set of vectors.

For example: Set of polynomials, (), of any degree, with real coefficients, is infinite dimensional.

Proof: Suppose, on contrary, that () is finite dimensional, of dimension n. Then () can be spanned by a finite set {p0(x), p1(x), p2(x),...,pn(x)}. All these polynomials are of finite expression, so there must exist a polynomial among them, having maximum degree, say m. Without loss of generality, we can say that deg(p0)>deg(pj), j = 1,2...n.

Now, we can express p0(x) as p0(x) = a0x0+a1x1+a2x2+...+amxm, a0,a1,...amF.
Since () contains polynomial of any degree, suppose q(x)(), such that deg(q(x)) = m+1.

Then q(x) Span{p0(x), p1(x), p2(x)...pn(x)}, because the maximum degree of polynomial that can be obtained by the span of these polynomials is m, and deg(q(x)) = m+1.

Hence our assumption that (), is finite dimensional is wrong. () is an infinite dimensional vector space.

 

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