Examples of 'basis vectors' in a sentence

Meaning of "basis vectors"

basis vectors: This phrase is commonly used in mathematics or physics to refer to a set of vectors that are linearly independent and used as a basis for describing other vectors in a vector space

How to use "basis vectors" in a sentence

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basis vectors
Basis vectors define the inverse transformation.
These are our new orthonormal basis vectors.
The basis vectors ai are orthogonal bases.
A vector can be expressed in terms of basis vectors.
Note that the basis vectors are not orthogonal to each other.
A crystal system is described by three basis vectors.
And the basis vectors are those associated with that pivot column.
The elements of a basis are called basis vectors.
The two basis vectors and of this starting space have been represented in this figure.
These are the standard basis vectors.
The model then uses these basis vectors for characterising components in unknown samples.
And all that is is the basis vectors.
The basis vectors of the transform approximate a DCT.
Any solution is a linear combination of basis vectors.
The four basis vectors are the three Pauli matrices and a fourth antihermitian matrix.

See also

Or those would make for good basis vectors.
But all the basis vectors are members of V.
But we want to know the number of basis vectors.
So any linear combinations of the basis vectors of V is going to be a member of V.
This then creates a set of orthogonal standard basis vectors.
Substituting the basis vectors for Bianchi Type IX homogeneous space in eq.
These are not just our standard basis vectors.
Alternatively, the basis vectors are substantially orthogonal.
As a linear combination of basis vectors.
In general, the basis vectors are neither unit vectors nor mutually orthogonal.
Let us construct a matrix whose column vectors are these basis vectors.
Thus, many of the basis vectors are active.
We can use this fact to derive the transformation properties of the basis vectors.
The vertical inverse transform may have basis vectors that approximate a DCT.
We can write any other qubit state as a linear combination of these basis vectors.
It 's just a matrix with the basis vectors in the column.
So C is square means that k is equal to n or that we have n basis vectors.
Coordinate surfaces, coordinate lines, and basis vectors are components of a coordinate system.
The Bell states are a form of entangled and normalized basis vectors.
Furthermore, there is no need for the basis vectors to be orthogonal to one another.
The matrix X is used to apply coordinate conversion to the basis vectors ai.
The basis vectors generated at step 32 define an eigenspace spanned by the eigenvectors.
The coordinates of the vector r with respect to the basis vectors el are xi.
The number of basis vectors may, of course, be increased further.
C is just the matrix that has our new basis vectors as columns.
The basis vectors are multiplied with either +1 or -1 and summed to form the excitation vector.
So it 's the coefficient on the basis vectors.
When we were looking for basis vectors for the transformation -- let me draw it.
The coordinates are just going to be, the coefficients on the different basis vectors.
How do you determine what are the basis vectors for the column space?
That is, there is no concept of hierarchical structure for the n number of basis vectors.
In Cartesian coordinates, the basis vectors are fixed constant.
Any HRTF, to be determined via simple linear combination of basis vectors.
So C, these are our basis vectors right there.
The lattice command can be used with non-orthogonal basis vectors to.

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