dydx

2.6K posts

dydx

dydx

@ouyangyaobin

Software Engineer @ NVIDIA Computer Graphics enthusiast from Canton :-) Opinions are my own.

Guangzhou Katılım Ocak 2015
1.9K Takip Edilen860 Takipçiler
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Spacesthetic
Spacesthetic@interiorsuckerr·
Spacesthetic tweet mediaSpacesthetic tweet mediaSpacesthetic tweet mediaSpacesthetic tweet media
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vexa
vexa@vexaayara·
POV: Your imagination suddenly becomes real. Watching clay turn into art never gets old..
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HerodotusWave
HerodotusWave@HerodotusWave·
Rebecca Di Filippo's micromosaic face in Venetian glass tesserae.
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UI/UX
UI/UX@Ajayfizzy·
My fan moves from primary to secondary colors when rotating 💯
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Massimo
Massimo@Rainmaker1973·
Applying varnish on an oil painting
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archéa
archéa@aurearch·
An amazing blend of classic design and cozy vibes.
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Cliff Pickover
Cliff Pickover@pickover·
Mathematics, physics, astronomy, science fiction. Three-Body Problem. Newly discovered stable periodic orbits. By Xiaoming LI and Shijun LIAO, Source: web.archive.org/web/2025032103…, Used with permission.
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Mathelirium
Mathelirium@mathelirium·
A physical system, its phase-space state, and the energy function that governs the flow, all linked together. The point of the animation is that these are not three different objects. They are three views of the same dynamics. The pendulum on the left is the physical motion. The curve on the floor is the evolution of its state. The translucent surface shows the energy landscape that organizes that motion.
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Mathelirium
Mathelirium@mathelirium·
How Gravity Behaves in Phase Space We know gravity pulls matter together in ordinary space. In phase space, it does something more revealing. Here a thin distribution in (x, v) position-velocity space evolves under its own gravity. The sheet stretches, folds, and winds into bright caustic layers, but it does not tear. What looks like simple collapse in ordinary space becomes a much richer geometric story in phase space.
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Python Maps
Python Maps@PythonMaps·
Fun concept, the distribution of elevation levels on the earths surface
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Vintage Maps
Vintage Maps@vintagemapstore·
Language evolution map of the British Isles
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Mathelirium
Mathelirium@mathelirium·
Warmup to Statistical Mechanics What Exactly is a Hamiltonian A System? In ordinary Mechanics, you might begin with position and velocity. Hamiltonian Mechanics rewrites the same motion in a different language. Instead of position and velocity, it uses position and momentum. We write the position variables as q and the momentum variables as p. Then the full state of the system at one instant is (q, p) That pair is one point in phase space. Why do we do this? Because in these variables, the equations of motion take a remarkably clean form. Everything is generated by one single function, the Hamiltonian H(q, p) and in the simplest cases this Hamiltonian is just the total energy written in terms of position and momentum. So if you know H, you know the dynamics. You might wonder, but how can one function generate motion? The rule is dqᵢ/dt = ∂H/∂pᵢ dpᵢ/dt = −∂H/∂qᵢ These are Hamilton’s equations. Now read them slowly 😄 The rate of change of position comes from differentiating H with respect to momentum. The rate of change of momentum comes from differentiating H with respect to position, with a minus sign. This constitutes the whole engine. A simple example makes this less abstract: Take one particle of mass m moving in a potential V(q). Then the Hamiltonian is H(q, p) = p²/(2m) + V(q) The first term is kinetic energy. The second term is potential energy. Now apply Hamilton’s equations. First, dq/dt = ∂H/∂p = p/m So momentum tells you how position changes. Second, dp/dt = −∂H/∂q = −dV/dq Thus, momentum changes because of force. If you now combine these two equations, you recover ordinary Newtonian mechanics. Since p = m dq/dt, we get m d²q/dt² = −dV/dq So, Hamiltonian mechanics is not a different theory. It is the same mechanics, written in a form that exposes its geometric structure much more clearly. The animation The full 3D surface is the Hamiltonian itself, the energy landscape H(q, p). The floor underneath is phase space, marked by energy contours and the local flow field. The bright moving point is one actual state (q(t), p(t)) evolving under Hamilton’s equations. Its trail shows that the motion is not arbitrary. It is guided everywhere by the geometry of the same single function H. The render is doing more than illustrating a particle moving, it is showing how one function organizes the whole phase-space motion. The math breakdown: Start with one degree of freedom. The state is described by position q and momentum p. So the system lives in a two-dimensional phase space with coordinates (q, p) Now choose a Hamiltonian H(q, p) Think of H as the energy function. In many standard systems, H(q, p) = kinetic energy + potential energy For a particle of mass m in a potential V(q), this becomes H(q, p) = p²/(2m) + V(q) Hamilton’s equations say dq/dt = ∂H/∂p dp/dt = −∂H/∂q Now substitute this specific H. First compute the p derivative: ∂H/∂p = ∂/∂p (p²/(2m) + V(q)) = p/m So dq/dt = p/m Now compute the q derivative: ∂H/∂q = ∂/∂q (p²/(2m) + V(q)) = dV/dq So dp/dt = −dV/dq These two first-order equations completely determine the motion. Now, connect this back to Newton’s law. From dq/dt = p/m we get p = m dq/dt Differentiate both sides with respect to time: dp/dt = m d²q/dt² But Hamilton’s second equation gives dp/dt = −dV/dq So , together they imply m d²q/dt² = −dV/dq This is exactly Newton’s second law for motion in the potential V(q). Thus, Hamilton’s equations do not replace mechanic, they reorganize it. #HamiltonianMechanics #PhaseSpace #ClassicalMechanics #MathematicalPhysics #DifferentialEquations #Mathematics #Physics
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Mathematica
Mathematica@mathemetica·
Touch a bowl of water to excite a superposition of symmetric surface wave modes with different frequencies. Sunlight refracts through ripples into caustics below. Absent energy dissipation, these waves would theoretically reconstruct original shape.
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Epic Maps 🗺️
Epic Maps 🗺️@theepicmap·
How mountains are created
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S.T.E.M Explorer
S.T.E.M Explorer@stemexplor·
How ReLU neural network learns functions?
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Mathelirium
Mathelirium@mathelirium·
Phase Space Is the Real Stage of Dynamics. So, Stop Watching the Object and Watch the State. Ordinary Space tells you where something is. Phase Space tells you what state it is in. Position alone is not enough because you also need the variable that tells you where the system is trying to go. In the animation, the left panel shows the particle moving in Ordinary Space, while the right panel shows the same system as a moving point in Phase Space. For one degree of freedom, the state is (x, p) and as time evolves, that state traces a trajectory t ↦ (x(t), p(t)) Instead of thinking of a differential equation as just a formula, Phase Space lets you see it as a flow on the space of states. For this lecture we use ẋ = p ṗ = x − x³ with Hamiltonian H(x,p) = 0.5 p² + 0.25 x⁴ − 0.5 x² #PhaseSpace #DynamicalSystems #NonlinearDynamics #HamiltonianMechanics #Mathematics
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Vintage Maps
Vintage Maps@vintagemapstore·
Animated map & globe showing tectonic plate movement from 542Ma years ago to present day. Source: Esri (Environmental Systems Research Institute)
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