What Is a Multilinear Function in Multilinear Algebra?

In summary, a multilinear function is a map from k vector spaces to a target vector space, where the function is linear with respect to each variable separately when the other variables are held fixed. This means that for each variable, the function satisfies the definition of linearity, and this is true for all variables.
  • #1
BrainHurts
102
0
I'm reading Lee's Introduction to Smooth Manifolds and I have a question on the definition of a multilinear function

Suppose [itex] V_{1},...,V_{k}[/itex] and [itex]W[/itex] are vector spaces. A map [itex] F:V_{1} \times ... \times V_{k} \rightarrow W [/itex] is said to be multilinear if it is linear as a function of each variable separately when the others are held fixed: for each i,

[itex] F(v_{1},...,av_{i} + a'v^{'}_{i},...,v_{k}) = aF(v_{1},...,v_{i},...,v_{k}) + a'F(v_{1},..., v^{'}_{i},...,v_{k}) [/itex]

I'm thinking that it should look like this,

[itex] F(u_{1},...au_{k} + a'v_{1},...,v_{k}) = aF(u_{1},...,u_{k})+a'F(v_{1},...,v_{k}) [/itex]
any comments?
 
Last edited:
Physics news on Phys.org
  • #2
F on the left hand side takes in 2k-1 vectors, and on the right hand side just k.

The definition in the book is correct, do you think it's a typo or are you just throwing out an idea for a different definition?
 
  • #3
different idea of course sorry, definitely not trying to correct him, I'm not seeing it as clearly, umm "F on the left hand side." Which F are you talking about? Lee's definition or what I'm thinking it should look like?
 
  • #4
OK just wanted to make sure. The F on the left hand side I'm talking about here.

BrainHurts said:
[itex] F(u_{1},...au_{k} + a'v_{1},...,v_{k}) = aF(u_{1},...,u_{k})+a'F(v_{1},...,v_{k}) [/itex]
any comments?

Let's suppose k=2. It looks like what you have written is

[tex] F(u_1, a u_2 + a' v_1, v_2) = a F(u_1, u_2) + a' F(v_1, v_2) [/tex]

And F on the left hand side of the equation, and on the right hand side of the equation, have a different number of variables as input
 
  • #5
Hmm, honestly I'm still a little confused, I'm trying to think of a more concrete example such as F being an inner product

if we let V=ℝn for example, then V is a vector space over the field ℝ with the usual addition of vectors and scalar multiplication.

so [itex] <\cdot,\cdot> : V \times V \rightarrow ℝ [/itex] given by [itex] \sum_{i=1}^{n} a_{i}b_{i} [/itex] is a multilinear function (namely a bilinear function)

so if we let x,y,z, be in ℝn and let F = <.,.>, then F(ax+by,z) = aF(x,z) + bF(y,z)
= a<x,z> + b<y,z> right?

so using Lee's notation I'm not really seeing it.
 
  • #6
or is it better to see it this way?

[itex]F(a(u_{1},...,u_{k}) + b(v_{1},...,v_{k})) = aF(u_{1},...,u_{k}) + bF(v_{1},...,v_{k})[/itex] ?
 
  • #7
BrainHurts said:
or is it better to see it this way?

[itex]F(a(u_{1},...,u_{k}) + b(v_{1},...,v_{k})) = aF(u_{1},...,u_{k}) + bF(v_{1},...,v_{k})[/itex] ?

No, that would imply that ##F## is linear.
 
  • #8
In the case k = 2, the definition says that
[tex]F(a v_1 + a' v_1', v_2) = a F(v_1, v_2) + a' F(v_1', v_2)[/tex]
and
[tex]F(v_1, a v_2 + a' v_2') = a F(v_1, v_2) + a' F(v_1, v_2').[/tex]

In other words, the map [itex]V_1 \to W,\;v_1 \mapsto F(v_1, v_2)[/itex] is linear (for fixed [itex]v_2[/itex]), and the map [itex]V_2 \to W,\;v_2 \mapsto F(v_1, v_2)[/itex] is linear (for fixed [itex]v_1[/itex]). This is what it means to be linear as a function of each variable separately.
 
  • #9
adriank said:
In the case k = 2, the definition says that
[tex]F(a v_1 + a' v_1', v_2) = a F(v_1, v_2) + a' F(v_1', v_2)[/tex]
and
[tex]F(v_1, a v_2 + a' v_2') = a F(v_1, v_2) + a' F(v_1, v_2').[/tex]

In other words, the map [itex]V_1 \to W,\;v_1 \mapsto F(v_1, v_2)[/itex] is linear (for fixed [itex]v_2[/itex]), and the map [itex]V_2 \to W,\;v_2 \mapsto F(v_1, v_2)[/itex] is linear (for fixed [itex]v_1[/itex]). This is what it means to be linear as a function of each variable separately.

got it! thanks!
 

FAQ: What Is a Multilinear Function in Multilinear Algebra?

What is multilinear algebra?

Multilinear algebra is a branch of mathematics that deals with multilinear maps, which are functions that take multiple inputs and produce a single output. It involves the study of tensors, which are multidimensional arrays of numbers that can represent linear relationships between different sets of variables.

What are the applications of multilinear algebra?

Multilinear algebra has many applications in physics, engineering, and computer science. It is used to model and analyze complex systems, such as fluid flow, electromagnetism, and quantum mechanics. It is also used in machine learning and data analysis to identify patterns and relationships in large datasets.

How is multilinear algebra different from linear algebra?

While linear algebra deals with linear relationships between variables, multilinear algebra extends this concept to include non-linear relationships. Multilinear maps can have multiple inputs and outputs, while linear maps have only one input and output. Additionally, multilinear algebra deals with tensors, which are more complex objects than vectors and matrices used in linear algebra.

What are the basic operations in multilinear algebra?

The basic operations in multilinear algebra include tensor products, contraction, and permutation. Tensor products combine two or more tensors to create a new one, while contraction sums over a specific index of a tensor. Permutation rearranges the indices of a tensor. These operations are used to manipulate and transform tensors in multilinear algebra.

How is multilinear algebra used in machine learning?

Multilinear algebra is used in machine learning to represent and analyze complex data structures, such as images, text, and audio. Tensors can capture the relationships between different features in a dataset, making it easier to identify patterns and make predictions. Multilinear algebra is also used in dimensionality reduction techniques, such as principal component analysis, to reduce the complexity of high-dimensional datasets.

Similar threads

Back
Top