Select any 4 vectors in Calculate R" of your choice. V,'s, applying Eq A on these vectors.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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equation a is in second picture 

Select any 4 vectors in ℜⁿ of your choice. Calculate **\(\vec{v}_p\)**'s, applying Eq A on these vectors.
Transcribed Image Text:Select any 4 vectors in ℜⁿ of your choice. Calculate **\(\vec{v}_p\)**'s, applying Eq A on these vectors.
The image presents a mathematical expression labeled as Equation A, which is part of a broader context indicated by the word "follows:"

\[ 
\vec{v}_p = \vec{x}_p - \sum_{k=1}^{p} \left( \frac{\vec{x}_p \cdot \vec{v}_k}{\vec{v}_k \cdot \vec{v}_k} \right) \vec{v}_k, \quad \text{for} \quad 2 \leq p \leq i.
\]

Additionally, there is an instruction to "Show that \( \vec{v}_Q \cdot \vec{v}_T = 0 \) for any \( 1 \leq Q, T \leq i \) and \( Q \neq T \)."

This suggests a process of orthogonalization, often related to the Gram-Schmidt procedure, where vectors \( \vec{v}_p \) are being orthogonally projected from input vectors \( \vec{x}_p \). The aim is to demonstrate that any two vectors \( \vec{v}_Q \) and \( \vec{v}_T \) are orthogonal if they are distinct (i.e., \( Q \neq T \)).
Transcribed Image Text:The image presents a mathematical expression labeled as Equation A, which is part of a broader context indicated by the word "follows:" \[ \vec{v}_p = \vec{x}_p - \sum_{k=1}^{p} \left( \frac{\vec{x}_p \cdot \vec{v}_k}{\vec{v}_k \cdot \vec{v}_k} \right) \vec{v}_k, \quad \text{for} \quad 2 \leq p \leq i. \] Additionally, there is an instruction to "Show that \( \vec{v}_Q \cdot \vec{v}_T = 0 \) for any \( 1 \leq Q, T \leq i \) and \( Q \neq T \)." This suggests a process of orthogonalization, often related to the Gram-Schmidt procedure, where vectors \( \vec{v}_p \) are being orthogonally projected from input vectors \( \vec{x}_p \). The aim is to demonstrate that any two vectors \( \vec{v}_Q \) and \( \vec{v}_T \) are orthogonal if they are distinct (i.e., \( Q \neq T \)).
Expert Solution
Step 1

There is a misprint in the question given. In the equation (A) given in the question, the summation must run for k=1 to p-1 but it is given k=1 to p. Note if we consider the statement of the equation to be true then while computing vp we are using the value of vp in the summation which is not been known yet. The process in equation (A) in the question is known as Gram-schmidt orthogonalization process. Any standard textbook of linear algebra will lead to the correct formula.We will use here the correct formula to evalutate it.

Solution:

Let us consider the vector space n, n1.

Let us now consider 4 vectors from n which are x1, x2, x3, x4.

Therefore we have to obtain an orthogonal set {v1, v2, v3, v4} from A={x1, x2, x3, x4} by Gram-schmidt process, that is by using the equation (A) below.

Let us rewrite the equation (A):

                vp= xp-k=1p-1xp.vkvk.vkvk , for 2p4 (Here i=4 as we have to consider 4 vectors of n)

 

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