Computing Inner Products of Vectors: a,b,c,d,e,f

In summary, we have a problem involving vectors a,b,c,d,e, and f and their inner products. We are given specific values for some of these inner products and are asked to compute others. To solve this problem, we can use the fact that the inner product is symmetric and linear in each argument.
  • #1
alkhaldi20
1
0
Hi everyone,

I need help with this problem. I just can't get it:

Let a,b,c,d,e and f be vectors such that \langle a,b \rangle=-4, \quad \langle a,c \rangle=-9, \quad \langle b,c \rangle=2, \quad b+c=d, \quad -4 a+3 b=e and -4 b+5 c=f. Compute the following inner products:

\langle b,a \rangle=
\langle a,d \rangle=
\langle e,c \rangle=
\langle a,f \rangle=
 
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  • #2
Which question are you having trouble with? You have to apply the fact that the inner product is symmetric and linear in each argument. That is, for all vectors u, v, and w and all scalars a, we have:
[tex]
\langle u, v\rangle = \langle v, u\rangle
[/tex]
and
[tex]
\langle au + v, w\rangle = a\langle u, w\rangle + \langle v, w\rangle
[/tex]
 
  • #3
alkhaldi20 said:
Hi everyone,

I need help with this problem. I just can't get it:

Let a,b,c,d,e and f be vectors such that [tex]\langle a,b \rangle=-4, \quad \langle a,c \rangle=-9, \quad \langle b,c \rangle=2, \quad b+c=d, \quad -4 a+3 b=e\ and -4 b+5 c=f\,.\ [/tex]

Compute the following inner products:

[tex]\langle b,a \rangle=[/tex]
[tex]\langle a,d \rangle=[/tex]
[tex]\langle e,c \rangle=[/tex]
[tex]\langle a,f \rangle=[/tex]
I put the [tex]\left[\text{tex}\right]\left[\text{/tex}\right][/tex] tags in for you.

[tex]\langle a,d \rangle=\langle a,b+c \rangle=\langle a,b \rangle+\langle a,c \rangle=\,[/tex] etc.
 
Last edited:

Related to Computing Inner Products of Vectors: a,b,c,d,e,f

1. What is an inner product of vectors?

An inner product of vectors is a mathematical operation that takes two vectors and produces a scalar (a single numerical value). It is also known as a dot product, and it measures the similarity between two vectors.

2. How is the inner product of vectors calculated?

The inner product of two vectors, denoted as a · b, is calculated by multiplying the corresponding components of the vectors and then adding the results. For example, if a = [1, 2, 3] and b = [4, 5, 6], then a · b = (1 * 4) + (2 * 5) + (3 * 6) = 4 + 10 + 18 = 32.

3. What is the purpose of computing inner products of vectors?

The inner product of vectors has many important applications in mathematics, physics, and computer science. It is used in vector calculus, linear algebra, and machine learning algorithms. It can also be used to find the angle between two vectors and to project one vector onto another.

4. Are there any properties of inner products of vectors?

Yes, there are several properties of inner products of vectors. These include linearity, symmetry, and positive definiteness. Linearity means that the inner product is distributive and follows the rules of multiplication. Symmetry means that the order of the vectors does not matter, and positive definiteness means that the inner product of a vector with itself is always a positive value.

5. Can the inner product of vectors be computed in higher dimensions?

Yes, the inner product of vectors can be computed in any number of dimensions. The formula for computing it remains the same, but the vectors will have more components. In fact, the concept of inner products can be extended to other mathematical objects, such as matrices and functions.

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