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Multi variable calculus

Multi variable calculus

Math, but fast!
#math #algebra #calculus #trig #數學 #cálculo #matemáticas

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12 thoughts on “Multi variable calculus”

  1. @terrariariley1643

    Brother I’m only a geometry student , blud exploded my brain , like how the flip u differentiate a function you don’t know

  2. @antonyqueen6512

    It depends on what the limits a and b are representing.
    Two ways of considering it:
    1.
    Let x, y and z the coordinates of a point M in space with respect to an ortho- normal coordinating system with origin O, so is
    L=||OM|| =sqrt(x^2 + y^2 + z^2), the norm/magnitue of vector OM, i.e., the length of vector OM
    => dL=d(|OM||) =sqrt(dx^2 + dy^2 + dz^2)
    =>∫[√(…)]dt = ∫[dL/|dt|]dt
    => ∫[√(…)]dt = sign(dt) ∫dL

    Assuming the point M describes a travel trajectory T of an object over time t, and a and b represent the position on the trajectory f at two different times t1 and t2, t1<t2, then
    dt>0, and
    ∫[√(…)]dt = ∫dL = travel distance along trajectory T from a to b

    In the simplest case of linear trajectory
    => ∫[√(…)]dt = (b-a)

    2. Alternatively:
    Assuming the point M=(x(t), y(t), z(t)) describes a trajectory T of an object traveling with a speed V(t)=[vx(t), vy(t), vz(t)] and a and b represent the positions on the trajectory T at two different times t1 and t2, t1<t2, then
    vx(t)=dx/dt
    vy(t)=dy/dt
    vz(t)=dz/dt
    =>
    √[(dx/dt)^2 + (dy/dt)^2 + (dz/dt)^2] = ||V(t)||
    => [√(…)]dt = ||V(t)||dt is the travel distance dL during the travel time dt
    => ∫[√(…)]dt = ∫dLdt, is the travel distance from a to b along the trajectory T

  3. Vector calculus expanded. Root vector v squared integrated from time a to time b. His is the forward approach, mine is the backward!

  4. Looks like arc length on the surface of a volume.
    Shouldn't the limits be t1-t2 instead of a-b though?

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