Understanding Orthogonal & Linear Combinations

In the given potential, the condition of equal ratios of f and g ensures that the same linear combination appears in both terms, making the orthogonal combination a flat direction of the potential. In summary, the conversation discusses the concept of linear and orthogonal combinations in the context of two axionic fields and their potential. The condition for the same linear combination appearing in both terms is also mentioned.
  • #1
touqra
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I was reading the literature, and come across this. But I couldn't decipher what it means by linear combination and orthogonal combination.

It is sufficient to consider two axionic fields, A and B, with a potential:

[tex] V = \lambda_{1}^4 [1 - cos(\frac{\theta}{f_1} + \frac{\rho}{g_1})] + \lambda_{2}^4 [1 - cos(\frac{\theta}{f_2} + \frac{\rho}{g_2})][/tex]

It is easy to see that, when the condition

[tex]\frac{f_1}{g_1} = \frac{f_2}{g_2}[/tex]

is met, the same linear combination of the two axions appears in both terms. Hence, the orthogonal combination is a flat direction of V.
 
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  • #2
Linear combination and orthogonal combination refer to the mathematical concept of linear algebra. A linear combination is a sum of vectors, where each vector is multiplied by a scalar value. In this example, the two axions A and B are being combined in a linear way to create a new vector (the linear combination). The orthogonal combination is then a vector that is perpendicular (orthogonal) to the linear combination.
 
  • #3


In simpler terms, a linear combination is a mathematical operation where two or more values are multiplied by a constant and then added together. In the given example, the potential function is a linear combination of two axionic fields, A and B, where the values are multiplied by constants (lambda) and then added together.

On the other hand, an orthogonal combination is a combination of values that are perpendicular or at right angles to each other. In the given example, the condition for an orthogonal combination to exist is when the ratio of the constants (f/g) for both axionic fields is equal. This means that the two axionic fields are at right angles to each other and their combination results in a flat direction in the potential function.

Overall, understanding orthogonal and linear combinations is important in mathematics and physics as it allows us to manipulate and analyze complex functions and equations. In this example, it helps us identify a flat direction in the potential function, which can have implications in the behavior of the system being studied.
 

FAQ: Understanding Orthogonal & Linear Combinations

1) What is the difference between orthogonal and linear combinations?

Orthogonal combinations refer to a set of vectors that are perpendicular to each other, meaning they form right angles. Linear combinations, on the other hand, refer to a combination of vectors that are multiplied by a scalar and added together. In linear combinations, the vectors do not necessarily have to be perpendicular to each other.

2) How are orthogonal and linear combinations used in mathematics?

Orthogonal and linear combinations are used in a variety of mathematical concepts, including vector spaces, linear algebra, and geometry. They are also used in machine learning and data analysis to represent and manipulate data in a more efficient way.

3) Can you give an example of orthogonal and linear combinations?

One example of an orthogonal combination is the x and y axes on a graph. They are perpendicular to each other and form right angles. An example of a linear combination is the combination of two vectors, v and w, where v is multiplied by a scalar a and added to w to form a new vector, av + w.

4) How do orthogonal and linear combinations relate to each other?

Orthogonal and linear combinations are closely related, as orthogonal combinations are a special case of linear combinations. In other words, all orthogonal combinations are linear combinations, but not all linear combinations are orthogonal. Additionally, orthogonal combinations can be used to find the coefficients in a linear combination.

5) What are the applications of understanding orthogonal and linear combinations?

Understanding orthogonal and linear combinations is crucial in various fields such as physics, engineering, computer science, and economics. It is used in solving systems of equations, calculating projections and determinants, and analyzing data in high-dimensional spaces. It also has applications in image processing, signal processing, and optimization problems.

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