Value of combinaison of orthogonal elements

In summary, the problem asks to find the value of ||a+b|| and ||a-b||, given that a and b are orthonormal elements of a linear space E with a dot product and norm. After solving for these values, it is found that ||a+b|| = √2, ||a-b|| = √2, and ||a+b||-||a-b|| = 0.
  • #1
Dassinia
144
0
Hello this is not a homework, just studying for the exam, and :

Homework Statement


Consider E a linear space with dot product (.,.) and the norm ||x|| = sqrt(x,x)
a and b two orthogonals elements of E
Find the value of ||a+ b|| et||a- b|| and ||a+ b||-||a- b||

Homework Equations





The Attempt at a Solution


a and b orthogonals means that ||a||=||b||=1
||a+b||=√(a+b,a+b) = √[(a,a)+(b,a)+(a,b)+(b,b) ] =√[ 1+0+0+1 ] = √2
||a-b||=√(a-b,a-b) = √[(a,a)+(-b,a)+(a,-b)+(-b,-b) ] =√[ 1-(b,a)+(-b,a)*-1 ] = √[ 1-(b,a)-(b,a)*-1 ]=0
||a+b||-||a-b||=√2

Is that correct ?
 
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  • #2
If ||b|| = 1, then (-b,-b) = 1, not -1.

Also orthogonal typically just means that (a,b) = 0, without giving any restriction on the size of the vector (if they are all unit vectors they're typically called orthonormal), so you should probably double check the wording of the problem/your class's definition of orthogonal
 
  • #3
Hello,
They're orthonormal, I just made a mistake copying the problem statement.
So
||a-b||=√2
||a+b||-||a-b||=0
 

What is the "Value of Combination of Orthogonal Elements"?

The "Value of Combination of Orthogonal Elements" refers to the mathematical concept of combining two or more independent factors or variables in a way that minimizes their correlation. This allows for a more accurate representation of the relationship between the factors and can lead to better predictions and analysis.

Why is it important to consider the value of orthogonal elements in scientific research?

Considering the value of orthogonal elements is important in scientific research because it allows for a more precise understanding of the relationship between different factors. By minimizing correlation, researchers can better identify the individual effects of each factor and make more accurate conclusions.

How can the value of combination of orthogonal elements be calculated?

The value of combination of orthogonal elements can be calculated using statistical methods such as principal component analysis (PCA) or orthogonal least squares (OLS). These methods involve transforming the original variables into new, orthogonal variables and then calculating the combination of these variables.

What are some practical applications of considering the value of orthogonal elements?

The concept of orthogonal elements has many practical applications in various fields, such as data analysis, machine learning, and experimental design. For example, in data analysis, considering orthogonal elements can help identify the most important factors influencing a particular outcome. In machine learning, it can lead to more accurate predictions by reducing the effects of correlated variables. In experimental design, it can help researchers better control for confounding factors and improve the validity of their results.

Are there any potential limitations to using orthogonal elements in scientific research?

While considering the value of orthogonal elements can be beneficial in many cases, it is not always suitable for every situation. One potential limitation is that it assumes a linear relationship between variables, which is not always the case in real-world scenarios. Additionally, it may not be appropriate for all types of data or research questions. It is important for researchers to carefully consider the specific needs of their study before applying this concept.

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