Find the orthogonal projection

In summary, to find the orthogonal projection of a vector y onto the null space of a matrix A, we first find the null space of A and then use the formula P = A(A^TA)^-1A^Ty to calculate the orthogonal projection. It is important to understand the concepts behind the problem and use the correct formula, as shown in the attempt at a solution above
  • #1
yevi
66
0

Homework Statement



My questions is this:
How to find the orthogonal projection of vector y= (7,-4,-1,2) on null space
N(A)

Where A is a matrix
A =

[tex]\left(\begin{array}{cccc}2&1&1&3\\3&2&2&1\\1&2&2&-9\end{array}\right)[/tex]

Homework Equations



[tex]A^TA\overline{x}=A^T\overline{y}[/tex]

The Attempt at a Solution


First I found the Null space of matrix A:
A =

[tex]\left(\begin{array}{cc}0&-5\\-1&7\\1&0\\0&1\end{array}\right)[/tex]

Then, I applied he formula from aboce:

A^TA =
2 -7
-7 75

A^Ty= (3,-61)

after that built an equation to find x:

[tex]\left(\begin{array}{cc}2&-7\\-7&75\end{array}\right) \left(\begin{array}{c}X1\\X2\end{array}\right) = \left(\begin{array}{c}3\\-61\end{array}\right)[/tex]

x1 = -2 , x2=-1
P(x) = (5,-5,-2,-1)

But the answer is:
3/2(0,-1,1,0)

What is wrong?
 
Last edited:
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  • #2


it is important to first understand the concepts behind the problem before attempting to solve it. The null space of a matrix A is the set of all vectors that, when multiplied by A, result in the zero vector. The orthogonal projection of a vector y onto the null space of A is the vector that is closest to y and lies in the null space of A. This means that the orthogonal projection of y onto the null space of A can be represented as Ax, where x is a vector in the null space of A.

To find the orthogonal projection of vector y onto the null space of A, we can use the formula P = A(A^TA)^-1A^Ty, where P is the orthogonal projection and (A^TA)^-1 is the inverse of the matrix A^TA. This formula can be derived from the projection matrix formula P = A(A^TA)^-1A^T.

Using this formula, we can calculate the orthogonal projection of y onto the null space of A as follows:

1. Find the null space of A: From the given matrix A, we can see that the null space of A is spanned by the vectors (0,-1,1,0) and (0,1,0,1). This means that any vector in the null space of A can be represented as a linear combination of these two vectors.

2. Calculate A^TA: We can calculate A^TA as follows:

A^TA =
2 -7
-7 75

3. Calculate (A^TA)^-1: The inverse of A^TA can be calculated using matrix inversion techniques or by using a calculator. In this case, we get (A^TA)^-1 = (1/75) * (75 7; 7 2).

4. Calculate A^Ty: We can calculate A^Ty as follows:

A^Ty =
3
-61

5. Calculate P: Now, we can calculate the orthogonal projection as follows:

P = A(A^TA)^-1A^Ty
=
\left(\begin{array}{cc}0&-1\\1&0\\1&1\\0&1\end{array}\right) * \left(\begin{array}{cc}1/75&-7/75\\-7/75&2/75\end{array}\right
 

1. What is the concept of orthogonal projection?

Orthogonal projection is a method used to find the closest point on a line or plane to a given point in space. It involves drawing a perpendicular line from the given point to the line or plane and finding the point of intersection. This point is called the orthogonal projection of the given point.

2. How is orthogonal projection used in science?

In science, orthogonal projection is used in fields such as physics, engineering, and mathematics. It is used to solve problems involving vectors, motion, and geometry. For example, it can be used to find the horizontal and vertical components of a vector or to determine the shortest distance between a point and a line in a three-dimensional space.

3. What are the key properties of orthogonal projection?

The key properties of orthogonal projection include the fact that the projected point is the closest point on the line or plane to the given point, and that the projected point lies on the line that is perpendicular to the line or plane being projected onto. Additionally, orthogonal projection preserves the length and direction of the vector being projected.

4. How is orthogonal projection different from other projection methods?

Orthogonal projection is different from other projection methods, such as parallel projection, in that it involves drawing a perpendicular line to the line or plane being projected onto. This results in a more accurate representation of the original object or vector, as it preserves the angles and distances between points.

5. Can orthogonal projection be applied to higher dimensions?

Yes, orthogonal projection can be applied to higher dimensions. In three-dimensional space, it is used to find the projection of a point onto a plane. In higher dimensions, it is used to find the projection of a point onto a hyperplane. The concept and properties of orthogonal projection remain the same in higher dimensions.

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