Let V be a 5 dimensional vector space

In summary, To find \Delta(b4, b3, b5, b1, b2), use the properties of determinants, such as interchanging two rows changes the determinant by a minus sign. A determinant is an alternating, multilinear, and normalized function of n variables, where n is the dimension of the vector space V. This means that if there is a preferred basis, the determinant of that basis is equal to 1. Alternatively, if it is only defined for endomorphisms, then the determinant of the identity matrix is equal to 1.
  • #1
laminatedevildoll
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Let V be a 5 dimensional vector space, and let [tex]\Delta[/tex] be a determinant formon V. Given [tex]\Delta[/tex](b1, b2, b3, b4, b5)= -3

How do I find [tex]\Delta[/tex](b4, b3, b5, b1, b2)?
 
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  • #2
use properties of determinnats, i.e. interchanging two rows changes the determinant by a minus sign. did you know this? if not, go back and review what properties determinants have.

or let me just tell you:

a determinant is an
1) alternating
2) multilinear
3) normalized

function of n variables, where n = dim(V).

normalized means that if there is some preferred basis, like e1,...,en, then det(e1,...,en) = 1.

more intrinsically, if it is only defined for endomorphisms, then det(Id) = 1.
 
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  • #3


To find \Delta(b4, b3, b5, b1, b2), we can use the properties of determinants. Firstly, we know that the determinant of a matrix remains the same if we swap two rows or columns. So, we can rewrite \Delta(b4, b3, b5, b1, b2) as \Delta(b1, b2, b3, b4, b5), which is the given value of -3.

Next, we can use the property that the determinant of a matrix is equal to the negative of the determinant of its transpose. So, we can take the transpose of the matrix \Delta(b1, b2, b3, b4, b5) and find its determinant, which will give us the desired value of \Delta(b4, b3, b5, b1, b2).

The transpose of a matrix is obtained by interchanging the rows and columns. So, the transpose of \Delta(b1, b2, b3, b4, b5) will be \Delta(b1, b4, b3, b5, b2).

Therefore, we can write \Delta(b4, b3, b5, b1, b2) = -\Delta(b1, b4, b3, b5, b2).

Substituting the value of \Delta(b1, b2, b3, b4, b5) = -3, we get \Delta(b4, b3, b5, b1, b2) = -(-3) = 3.

In conclusion, we have found the value of \Delta(b4, b3, b5, b1, b2) to be 3 by using the properties of determinants.
 

FAQ: Let V be a 5 dimensional vector space

What is a 5 dimensional vector space?

A 5 dimensional vector space is a mathematical concept that represents a collection of 5-dimensional vectors, which are ordered sets of 5 numbers. These vectors can be added, subtracted, and multiplied by a scalar, and they have properties such as magnitude and direction.

What are some examples of 5 dimensional vector spaces?

Examples of 5 dimensional vector spaces include the space of all 5-dimensional coordinate vectors, the space of all 5-dimensional polynomials, and the space of all 5-dimensional matrices.

How is a 5 dimensional vector space different from a 3 dimensional vector space?

A 5 dimensional vector space is different from a 3 dimensional vector space in that it has 5 basis vectors instead of 3. This means that it can accommodate more complex and higher-dimensional data and calculations.

What is the dimensionality of a 5 dimensional vector space?

The dimensionality of a 5 dimensional vector space is 5. This means that it requires 5 numbers or coordinates to specify a point in this space.

How is a 5 dimensional vector space used in scientific research?

A 5 dimensional vector space is used in scientific research to model and analyze complex systems and data sets. It is especially useful in fields such as physics, engineering, and computer science, where higher dimensional data and calculations are common.

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