Non-Singular Bilinear Function

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In summary, the conversation discusses a question about a nonsingular bilinear function on a vector space and how it relates to linear functions and the dual space. The question is a standard result for finite dimensional vector spaces and can be found in various linear algebra texts, such as Serge Lang's book.
  • #1
Sudharaka
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Hi everyone, :)

Here's a question that I have now clue on how to solve. I hope you can shed some light on it. :)

Question:

Let $f:V\times V\rightarrow F$ be a nonsingular bilinear function on a vector space $V$ over a field $F$. Prove that for any linear function $\psi\in V^*$ there is unique $v\in V$ such that $\psi(x)=f(x,\,v)$, for any $x\in V$, and that the map $v\rightarrow \psi$ is an isomorphism of $V$ and $V^*$.
 
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  • #2
Hi,
I'm unfamiliar with the term non-singular bilinear function. If this just means an ordinary non-degenerate scalar product, then your question is a standard result for finite dimensional vector spaces. (For infinite dimension, it's false). See the wikipedia page Dual space - Wikipedia, the free encyclopedia for the result.
 
  • #3
johng said:
Hi,
I'm unfamiliar with the term non-singular bilinear function. If this just means an ordinary non-degenerate scalar product, then your question is a standard result for finite dimensional vector spaces. (For infinite dimension, it's false). See the wikipedia page Dual space - Wikipedia, the free encyclopedia for the result.

Hi johng, :)

Thanks very much for the reply. Do you know of a link where this result is proved? Assuming non-singular is the same as non-degenerate.
 
  • #4
I think almost any good linear algebra text should have the result. In particular, Serge Lang's book Linear Algebra has the complete discussion on this topic. I don't know of any on line proofs, but there probably are some.
 
  • #5


Hello,

First, let's define some terms. A bilinear function $f:V\times V\rightarrow F$ is a function that takes two inputs from a vector space $V$ and outputs a scalar from a field $F$. In this case, we are told that $f$ is nonsingular, meaning that it is not equal to zero for any input.

Now, let's consider the linear function $\psi\in V^*$, where $V^*$ is the dual space of $V$. The dual space of a vector space is the set of all linear functions from that vector space to its underlying field. In other words, $\psi$ takes in an element from $V$ and outputs a scalar from $F$.

We want to prove that there exists a unique $v\in V$ such that $\psi(x)=f(x,v)$ for any $x\in V$. This means that $\psi$ and $f(x,v)$ are essentially the same function, but with different inputs. We can rewrite this as $f(x,v)=\psi(x)=\psi(v)$.

To prove uniqueness, we can assume that there exists another $v'\in V$ such that $\psi(x)=f(x,v')$. This would mean that $\psi(v)=f(v,v')=\psi(v')$. But since $f$ is nonsingular, $f(v,v')=0$ if and only if $v=v'$. Therefore, $v=v'$, proving uniqueness.

Next, we want to show that the map $v\rightarrow \psi$ is an isomorphism of $V$ and $V^*$. An isomorphism is a bijective function that preserves structure. In this case, we want to show that the map is both injective (one-to-one) and surjective (onto).

To show injectivity, we can use the uniqueness we just proved. If $v$ and $v'$ both map to the same $\psi\in V^*$, then $f(x,v)=\psi(x)=f(x,v')$ for all $x\in V$. But this means that $v=v'$, again using the nonsingularity of $f$.

To show surjectivity, we need to show that for any $\psi\in V^*$, there exists a corresponding $v\in V$. We already know that $\psi(v)=f(v,v')
 

Related to Non-Singular Bilinear Function

1. What is a non-singular bilinear function?

A non-singular bilinear function is a type of mathematical function that takes two variables as inputs and produces a single output. It is called "non-singular" because it does not have any singular points, meaning that there are no values for the inputs that result in an undefined output.

2. How is a non-singular bilinear function different from a regular bilinear function?

A regular bilinear function can have singular points, meaning that certain values of the inputs will result in an undefined output. A non-singular bilinear function, on the other hand, does not have any singular points and is well-defined for all possible inputs.

3. What are some examples of non-singular bilinear functions?

Some common examples of non-singular bilinear functions include the quadratic function (f(x,y) = ax^2 + bxy + cy^2), the cubic function (f(x,y) = ax^3 + bx^2y + cxy^2 + dy^3), and the exponential function (f(x,y) = ab^xy).

4. What are the applications of non-singular bilinear functions?

Non-singular bilinear functions are widely used in various fields of science and engineering, such as physics, chemistry, economics, and computer science. They are used to model relationships between two variables and can help in solving optimization problems, analyzing data, and making predictions.

5. How are non-singular bilinear functions used in linear algebra?

In linear algebra, non-singular bilinear functions are used to define inner products on vector spaces. This allows for the calculation of angles and lengths in vector spaces, which is essential in many applications such as geometry, physics, and engineering. Additionally, non-singular bilinear functions are used in the spectral theorem, which is a fundamental concept in linear algebra.

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