Exercise: An Application to Markov chains

In summary, to show that A^-1 = A^T for a 2x2 matrix A, it is necessary and sufficient that a^2+b^2=1, where a and b represent the elements of A. This can be shown by using the hint provided and the fact that a=cosθ and b=sinθ for some θ.
  • #1
sshh
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0
If A 2x2, show that A^-1 = A^T if and only if :
http://www.mathhelpforum.com/math-help/attachments/f5/20406d1294835445-exercise-application-markov-chains-untitled.png

[Hint: If a^2+b^2=1, then a=cosθ, b= sinθ for some θ. Use cos(θ-)=cosθcosϕ+sinθsinϕ]
 
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  • #2
sshh said:
If A 2x2, show that A^-1 = A^T if and only if :
http://www.mathhelpforum.com/math-help/attachments/f5/20406d1294835445-exercise-application-markov-chains-untitled.png

[Hint: If a^2+b^2=1, then a=cosθ, b= sinθ for some θ. Use cos(θ-)=cosθcosϕ+sinθsinϕ]
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There is a term missing in your hint. It should read. "Use cos(θ-ϕ)=cosθcosϕ+sinθsinϕ]"
 
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Related to Exercise: An Application to Markov chains

1. What is a Markov chain?

A Markov chain is a mathematical model used to describe a sequence of events where the probability of transitioning from one state to another depends only on the current state and not on any previous states.

2. How can Markov chains be applied to exercise?

In the context of exercise, a Markov chain can be used to model the progression of a person's fitness level over time. This allows us to predict the likelihood of transitioning from one fitness level to another based on the current level and the type of exercise being performed.

3. What are the limitations of using Markov chains in exercise?

One limitation is that Markov chains assume that the transition probabilities are constant over time, which may not always be the case in real-life exercise scenarios. Additionally, the model may not account for external factors such as diet, sleep, and other lifestyle habits that can also impact fitness levels.

4. How can Markov chains be used to optimize exercise routines?

By using Markov chains, we can identify the most effective exercise routines for achieving a desired fitness level. We can also use the model to determine the optimal duration and intensity of each exercise session.

5. Are there any practical applications of Markov chains in the fitness industry?

Yes, Markov chains have been used in fitness apps and wearable technology to track and analyze users' exercise habits and provide personalized exercise recommendations. They have also been used in research studies to understand and predict behavior change in individuals participating in exercise programs.

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