What Is a Multilinear Function in Multilinear Algebra?

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SUMMARY

A multilinear function is defined as a map F: V_{1} × ... × V_{k} → W that is linear in each variable when the others are held constant. The discussion clarifies that for k=2, the correct representation is F(a v_1 + a' v_1', v_2) = a F(v_1, v_2) + a' F(v_1', v_2) and F(v_1, a v_2 + a' v_2') = a F(v_1, v_2) + a' F(v_1, v_2'). This confirms that the function behaves linearly with respect to each input variable independently, as illustrated with the inner product example in ℝn. The participants agree on the definition provided in Lee's "Introduction to Smooth Manifolds" and clarify misconceptions regarding the number of input vectors.

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BrainHurts
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I'm reading Lee's Introduction to Smooth Manifolds and I have a question on the definition of a multilinear function

Suppose V_{1},...,V_{k} and W are vector spaces. A map F:V_{1} \times ... \times V_{k} \rightarrow W 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,

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})

I'm thinking that it should look like this,

F(u_{1},...au_{k} + a'v_{1},...,v_{k}) = aF(u_{1},...,u_{k})+a'F(v_{1},...,v_{k})
any comments?
 
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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?
 
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?
 
OK just wanted to make sure. The F on the left hand side I'm talking about here.

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

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

F(u_1, a u_2 + a' v_1, v_2) = a F(u_1, u_2) + a' F(v_1, v_2)

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
 
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 <\cdot,\cdot> : V \times V \rightarrow ℝ given by \sum_{i=1}^{n} a_{i}b_{i} 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.
 
or is it better to see it this way?

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

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

No, that would imply that ##F## is linear.
 
In the case k = 2, the definition says that
F(a v_1 + a&#039; v_1&#039;, v_2) = a F(v_1, v_2) + a&#039; F(v_1&#039;, v_2)
and
F(v_1, a v_2 + a&#039; v_2&#039;) = a F(v_1, v_2) + a&#039; F(v_1, v_2&#039;).

In other words, the map V_1 \to W,\;v_1 \mapsto F(v_1, v_2) is linear (for fixed v_2), and the map V_2 \to W,\;v_2 \mapsto F(v_1, v_2) is linear (for fixed v_1). This is what it means to be linear as a function of each variable separately.
 
adriank said:
In the case k = 2, the definition says that
F(a v_1 + a&#039; v_1&#039;, v_2) = a F(v_1, v_2) + a&#039; F(v_1&#039;, v_2)
and
F(v_1, a v_2 + a&#039; v_2&#039;) = a F(v_1, v_2) + a&#039; F(v_1, v_2&#039;).

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

got it! thanks!
 

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