Isn't the concept of a basis circular?

In summary: However, in the case of the real numbers, there is only one possible basis: {1}. This is because all vectors in ##\mathbb{R}## can be expressed as a multiple of 1. This is not true for all vector spaces. So, there is no problem with having multiple bases in this scenario.
  • #1
archaic
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If ##v## is an element of a vector space ##V## and for example ##\mathcal{B}=\{e_1,e_2,e_3\}## is a basis of ##V##, then, at least, there should be another basis for ##V## in which the vectors of ##\mathcal{B}## can be expressed, but at the same time, the vectors of this other basis must also be expressed using ##\mathcal{B}##'s vectors.

Why is there no problem here?
 
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  • #2
archaic said:
If ##v## is an element of a vector space ##V## and for example ##\mathcal{B}=\{e_1,e_2,e_3\}## is a basis of ##V##, then, at least, there should be another basis for ##V## in which the vectors of ##\mathcal{B}## can be expressed, but at the same time, the vectors of this other basis must also be expressed using ##\mathcal{B}##'s vectors.

Why is there no problem here?
Your question is not clear. There are an infinite number of possible bases, and any vector can be expressed in any of the bases. For example, in a 2 dimensional Euclidean space, {ex, ey} is a basis, but I can rotate and find a new basis {ex', ey'} where ex' = √2 ex + √2 ey and ey' = -√2 ex + √2 ey. Any vector, including ex, ey, ex', and ey', can be expressed in either basis. Does this help?
 
  • #3
archaic said:
If ##v## is an element of a vector space ##V## and for example ##\mathcal{B}=\{e_1,e_2,e_3\}## is a basis of ##V##, then, at least, there should be another basis for ##V## in which the vectors of ##\mathcal{B}## can be expressed, but at the same time, the vectors of this other basis must also be expressed using ##\mathcal{B}##'s vectors.

Why is there no problem here?
Keep it easy. Let's consider ##V=\mathbb{R}##. Then every vector different form ##0## is a basis vector and we have bases
$$
\{\,1\,\} \stackrel{\cdot 2}{\longrightarrow} \{\,2\,\} \stackrel{\cdot \frac{3}{2}}{\longrightarrow} \{\,3\,\} \stackrel{\cdot \frac{1}{3}}{\longrightarrow} \{\,1\,\}
$$
Can you rephrase your question with this example?

Of course if we only have ##V=\mathbb{F}_2## we have only one unique basis vector, two in ##V=\mathbb{F}_3## etc., but let's stay with real vector spaces.
 
  • #4
fresh_42 said:
Keep it easy. Let's consider ##V=\mathbb{R}##. Then every vector different form ##0## is a basis vector and we have bases
$$
\{\,1\,\} \stackrel{\cdot 2}{\longrightarrow} \{\,2\,\} \stackrel{\cdot \frac{3}{2}}{\longrightarrow} \{\,3\,\} \stackrel{\cdot \frac{1}{3}}{\longrightarrow} \{\,1\,\}
$$
Can you rephrase your question with this example?

Of course if we only have ##V=\mathbb{F}_2## we have only one unique basis vector, two in ##V=\mathbb{F}_3## etc., but let's stay with real vector spaces.
It seems odd to me that, for example, both ##\{1\}## and ##\{2\}## are basis for each other, there's no building block.
 
  • #5
archaic said:
It seems odd to me that, for example, both ##\{1\}## and ##\{2\}## are basis for each other, there's no building block.
Why that? ##b_1=\frac{1}{2}\cdot b_2## and ##b_2=2\cdot b_1## with two bases ##\{\,b_1\,\}## and ##\{\,b_2\,\}##. In this case we have ##b_1=1\, , \,b_2=2\,.##
 
  • #6
fresh_42 said:
Why that? ##b_1=\frac{1}{2}\cdot b_2## and ##b_2=2\cdot b_1## with two bases ##\{\,b_1\,\}## and ##\{\,b_2\,\}##. In this case we have ##b_1=1\, , \,b_2=2\,.##
And that is not circular? We're basically saying that, this vector space has ##\{1\}## as basis, but that basis is in turn generated by ##\{2\}## which ultimately is also generated by ##\{1\}##.
We express vectors of a vector space in terms of a basis' vectors, but those basis' vectors are also vectors and should be expressed with a basis' vectors.
 
  • #7
Of course it is 'circular'. If ##\{\,b_i\,\}## and ##\{\,c_i\,\}## are two basis of an ##n-##dimensional vector space, then there is a regular ##n\times n## matrix ##A## such that ##Ab_i=c_i## for all ##i##, and as it is regular, we also have ##A^{-1}c_i=b_i## for all ##i\,.##

But there are really many regular matrices, so we have many bases.
 
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  • #8
archaic said:
And that is not circular?

The mathematical concept of a basis does not embody the idea of "smallest building block" or "atoms". Think of physical 3-D space. There are various ways to specify points in 3D space using 3 basis vectors. There are different ways to define a basis for 3D space.
 
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  • #9
archaic said:
If ##v## is an element of a vector space ##V## and for example ##\mathcal{B}=\{e_1,e_2,e_3\}## is a basis of ##V##, then, at least, there should be another basis for ##V##
This is not required, but there may be. After all, a basis isn't necessarily unique. the initial basis is adequate to express the basis vectors, too: ##e_1 = 1\cdot e_1 + 0\cdot e_2 + 0 \cdot e_3## etc.

If you applied an isomorphism on a basis you would get a basis.
 
Last edited:

1. Isn't the concept of a basis circular?

No, the concept of a basis is not circular. A basis is a set of linearly independent vectors that can be used to represent any vector in a given vector space. It is not defined in terms of itself, but rather in terms of linear independence and spanning of a vector space.

2. How is a basis different from a coordinate system?

A basis is a set of vectors that form the building blocks for a vector space, while a coordinate system is a specific way of representing those vectors using numbers. A basis is a theoretical concept, while a coordinate system is a practical tool for representing vectors.

3. Can a vector space have more than one basis?

Yes, a vector space can have multiple bases. In fact, any vector space with dimension greater than 1 will have infinitely many bases. However, all bases for a given vector space will have the same number of vectors, known as the dimension of the vector space.

4. How do you find the basis for a given vector space?

The process of finding a basis for a vector space involves determining a set of linearly independent vectors that span the space. This can be done through various methods such as Gaussian elimination or using the Gram-Schmidt process. It is important to note that there is not a unique basis for a given vector space.

5. Can a basis be changed?

Yes, a basis can be changed. In fact, changing the basis can be a useful tool in solving certain problems in linear algebra. However, the new basis must still fulfill the requirements of being linearly independent and spanning the vector space.

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