Proving Bounds of γ'' & β'' in [T''] Matrix

In summary, the formulas for γ'' and β'' can be proven to be between the specified ranges, with β'' being a combination of both original betas and approaching 1 as either β or β' approaches 1. This can also be shown using the tangent addition formula.
  • #1
swampwiz
571
83
[ T'' ] = [ T ] [ T' ]

[ T'' ] =

[ ( γ'' ) , ( - γ'' β'' ) ]

[ ( - γ'' β'' ) , ( γ'' ) ]

γ'' = γ γ' ( 1 + β β' ) → no problem, proven to be b/w [ 1 , ∞ )

β'' = ( β + β' ) / ( 1 + β β' ) → can't figure out how to prove it's b/w [ 0 , 1 )
 
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  • #2


Each of the individual betas ought to be less than 1, right?
 
  • #3


Muphrid said:
Each of the individual betas ought to be less than 1, right?

Yes, for each β:

0 ≤ β < 1
 
  • #4


So in the limiting case of each beta going to 1, what do you get for the final result?
 
  • #5


Hint: Assuming both β and β' are in [0,1), what happens to β'' if β (or β') increases?
What about the limit β=β'=1?

Can you combine both to a formal proof?
 
  • #6


Perhaps yet another way to go from here is to note that that looks awfully like the tangent addition formula ... and then making a substitution.
 
  • #7


I've figured it out.

( β + β' ) / ( 1 + β β' ) - 1 + 1

[ ( β + β' ) - ( 1 + β β' ) ] / ( 1 + β β' ) + 1

[ - ( 1 - β ) ( 1 - β' ) ] / ( 1 + β β' ) + 1

1 ≤ ( 1 + β β' ) < 2

0 < ( 1 - β ) ≤ 1

0 < ( 1 - β ) / ( 1 + β β' ) ≤ 1

0 < ( 1 - β ) ( 1 - β' ) / ( 1 + β β' ) ≤ 1

-1 ≤ - ( 1 - β ) ( 1 - β' ) / ( 1 + β β' ) < 0

0 ≤ - ( 1 - β ) ( 1 - β' ) / ( 1 + β β' ) + 1 < 1
 

FAQ: Proving Bounds of γ'' & β'' in [T''] Matrix

What is the purpose of proving bounds for γ'' and β'' in a matrix?

The purpose of proving bounds for γ'' and β'' in a matrix is to determine the range of possible values for these parameters within the given matrix. This allows researchers to better understand the behavior and limitations of the matrix, and to make accurate predictions and calculations based on these values.

2. How are the bounds for γ'' and β'' typically determined?

The bounds for γ'' and β'' are typically determined through mathematical analysis and calculations. This involves examining the structure and properties of the matrix, as well as any known constraints or relationships between the parameters.

3. Are there any real-world applications for proving bounds of γ'' and β'' in a matrix?

Yes, there are many real-world applications for proving bounds of γ'' and β'' in a matrix. For example, these bounds can be used in engineering and design to ensure the stability and reliability of structures and systems. They can also be used in finance and economics to analyze risk and make informed decisions.

4. What are some factors that can affect the bounds of γ'' and β'' in a matrix?

Some factors that can affect the bounds of γ'' and β'' in a matrix include the size and complexity of the matrix, the type of data or variables being analyzed, and any assumptions or constraints placed on the matrix.

5. How do the bounds of γ'' and β'' in a matrix impact the overall validity of the matrix?

The bounds of γ'' and β'' in a matrix play a crucial role in determining the validity of the matrix. If the bounds are too narrow or too wide, it can indicate that the matrix is not accurately representing the data or system it is intended to model. Therefore, proving accurate bounds is essential for ensuring the validity and reliability of the matrix.

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