Can we Define a Basis on R^3 at Every Point Using Fractional Derivatives?

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In summary, the conversation discusses the use of fractional derivatives to define a basis on R^3 at every point using the function y=f(x). The possibility of constructing a basis for a fractional-dimensional space for integration over R^n is also mentioned, with the exception of several points where the Wronskian is equal to 0. The conversation concludes with a question about the potential purpose of this basis on R^3 and a playful comment about the identity of the person speaking.
  • #1
Klaus_Hoffmann
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Let be y=f(x) a differentiable function, my question is if we can define a basis on R^3 at every point using [tex] \partial _{x}^{n} [/tex] n=0,1,2

For arbitrary 'n' even real numbers could be the same be defined using the fractional derivative to justify [tex] \partial _{x} ^{n} y(x) [/tex]

So in every case the Wrosnkian is different from 0 except at several points, with this a possible purpose would be constructing a basis for a fractional-dimensional space to perform integration over R^{n} n being (positive) integer or real.
 
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A basis of what on R^3? (you wouldn't be the famous Klaus Hoffmann, musician and mellotron connosieur, would you?)
 
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It is not possible to define a basis on R^3 at every point using fractional derivatives. A basis is a set of linearly independent vectors that span a vector space. In the case of R^3, we have a three-dimensional vector space, and a basis would consist of three linearly independent vectors. Fractional derivatives, on the other hand, are not defined for arbitrary 'n' even real numbers. They are only defined for positive integers or real numbers greater than or equal to 1. Therefore, it is not possible to use fractional derivatives to construct a basis in R^3 at every point.

Furthermore, the Wronskian, which is a determinant used to test for linear independence, would not be applicable in this context. The Wronskian is only defined for functions with integer order derivatives, not fractional derivatives. So even if we were able to define a basis using fractional derivatives, we would not be able to use the Wronskian to test for linear independence.

In addition, the purpose of constructing a basis in a fractional-dimensional space is unclear. Integration over R^n, where n is a positive integer or real number, is well-defined without the need for a fractional-dimensional basis. Therefore, there is no practical use for constructing a basis using fractional derivatives in this context.

In conclusion, it is not possible to define a basis on R^3 at every point using fractional derivatives, and there is no practical purpose for doing so. The concept of a basis is only applicable in the context of linear algebra, and fractional derivatives do not fit within this framework.
 

Related to Can we Define a Basis on R^3 at Every Point Using Fractional Derivatives?

1. What is a basis on R^3?

A basis on R^3 is a set of three linearly independent vectors that span the three-dimensional space. These vectors can be used to express any point in R^3 as a unique linear combination.

2. Can we define a basis on R^3 at every point?

Yes, a basis can be defined at every point in R^3 as long as the set of vectors chosen are linearly independent. This means that no vector in the set can be expressed as a linear combination of the other vectors.

3. What are fractional derivatives?

Fractional derivatives are a generalization of the traditional integer-order derivatives, which are defined for non-integer values. They are used to describe the rate of change of a function at a given point.

4. How can fractional derivatives be used to define a basis on R^3?

By taking fractional derivatives of a function that describes a surface in R^3, we can obtain a set of vectors that are tangent to the surface at a given point. These vectors can then be used as a basis at that point.

5. What are the applications of defining a basis on R^3 using fractional derivatives?

This method can be used in various fields such as physics, engineering, and computer graphics. It allows for a more precise definition of surfaces and can be used in calculations involving surfaces in R^3.

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