Jesus

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Jesus
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  • Eigenranking

    My matrix is:

    matrix = [

      [0,4,2,1,4],

      [4,0,2,3,1],

      [3,1,0,3,2],

      [1,1,1,0,4],

      [4,4,1,2,0]

    ]

    Team 1: rating = 0.5079982820145703
    Team 5: rating = 0.5032938392103756
    Team 2: rating = 0.4485785148338271
    Team 3: rating = 0.4101302319490532
    Team 4: rating = 0.34525869395863085
    

    That means Team 1 was the best but doesn't look like it is by too much.

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  • Modeling a steady state heat distribution in 2D

    For our conditions, $k=0$ and $f=0$, the steady-state of this polygon is shown above. The temperature in the lower right corner, at about $(31,1)$, is approximately $.96731.$

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  • Modeling 2D Heat Flow

    Given my parameters, the temperature near the midpoint of the insulated side of the triangle at $t=1s$ is about $0.52492$.


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  • Random heat evolution problem

    We will look at a bar of length $1$ that lies along the unit interval. Its temperature distribution is given by:

    $$g(x)=3x^2 - 2x.$$

    At time t=0, its left end is set to temperature 3 and its right end to -2. Here is the sketch of the temperature distribution at times $t=0, t=0.01, t=0.1$, and $t=10.$


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  • Steady state heat flow with source

    We will look at heat flow with a constant internal heat source. This will be governed by, $$u_t=4{u_xx}+8.$$

    Such that we have the initial conditions, $u(0,t)=-3$ and $u(1,t)=3.$

    Given that we are looking for a steady-state distribution, we can set $u_t=0,$ such that $u(x,t)$ does not change with respect to time, $t.$

    Therefore, we have the equation $$0=4{u_xx}+8.$$

    Simplifying we get:

    $$4{u_xx}=-8$$

    $${u_xx}=-2.$$

    Integrating twice we get

    $${u_x}=-2x+{c_1}$$

    $$u=-x^{2}+x{c_1}+{c_2}.$$

    Using our initial conditions, we will solve for $c_1$ and $c_2$:

    We get ${c_1}=7$ and ${c_2}=-3.$

    Thus, our steady-state distribution function is:

    $$u=-x^2+7x-3.$$

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