For systems where only conservative forces perform work, the sum of kinetic and potential energies remains constant. In the context of near‑Earth motion under gravity, mechanical energy takes the form . Dropping the common factor of mass illustrates that the specific energy per unit mass is . When an object moves from an initial state (subscript 1) to a final state (subscript 2) without non‑conservative work, the energies satisfy . This relation, central to classical mechanics, enables prediction of speeds or heights without tracking forces or accelerations explicitly.
Rearranging the energy equation allows solving for any of the four quantities. Solving for the final velocity gives . Analogous expressions follow for the other variables. These equations resemble the kinematic relations derived from constant acceleration, yet they arise solely from energy considerations and therefore remain valid even if motion occurs with variable accelerations, as long as the forces derive from a potential.
Consider a skateboarder rolling down a frictionless ramp. Starting at height m with negligible initial speed, conservation of energy predicts a speed at ground level of ≈ 7.67 m/s. Conversely, if the rider wants to reach a platform 1 m high while moving initially at 4 m/s, the required starting height is found by solving for : . Plugging values yields about 1.82 m, meaning the rider must begin from slightly higher than the goal.
The absence of friction or drag is crucial. If non‑conservative forces such as air resistance act, mechanical energy decreases by the amount of work they perform, and the simple equality no longer holds. Nonetheless, energy methods still provide a baseline estimate and clarify the effects of losses. Engineers designing roller coasters add safety factors to account for friction so cars maintain enough mechanical energy to clear hills.
The principle of mechanical energy conservation can be derived from Newton’s laws. For motion in one dimension under a conservative force , Newton’s second law leads to . Multiplying by and integrating yields . This derivation reinforces that conservation arises from the work‑energy theorem when forces derive from a potential.
Historically, the concept evolved over centuries. Early ideas of “vis viva” in the 17th century by Leibniz prefigured kinetic energy. By the 19th century, scientists recognized that the sum of kinetic and potential energies is conserved in closed systems, laying foundations for the broader law of energy conservation that encompasses thermal and chemical forms. The mechanical subset remains vital for introductory physics, providing a powerful tool to analyze motion without solving differential equations for forces.
The table below lists several scenarios illustrating how energy conservation determines motion:
Situation | Knowns | Unknown |
---|---|---|
Sled descending hill | h₁, v₁, h₂ | v₂ |
Projectile ascending | v₁, h₁, v₂ | h₂ |
Roller coaster design | v₂, h₂, h₁ | v₁ |
Swinging pendulum | h₁, h₂ | v₁ or v₂ at lowest point |
Each case reduces to algebraic manipulation of the core equation. This universality makes the method invaluable across mechanics, whether analyzing planetary motion, pendulums, or vehicular dynamics.
Beyond gravity, mechanical energy conservation applies to springs with potential . Combining spring and gravitational potentials explains systems like bungee jumping or oscillating masses on inclined planes. In such problems, energy diagrams often reveal turning points where kinetic energy vanishes and motion reverses.
Finally, consider multi‑step processes. An object sliding down a ramp and then up another may have different speeds at various points. Rather than treat each segment separately, one can equate mechanical energy at the start and at any point of interest, subtracting any energy lost to friction. This holistic view streamlines analysis and provides deeper intuition.
Through these extensive explanations, the calculator below becomes more than a numerical tool; it is a companion to understanding one of physics’ most elegant principles. By experimenting with different heights and speeds, users can visualize the tradeoffs between potential and kinetic energy and appreciate the predictive power of energy conservation in mechanical systems.
Compute kinetic energy and momentum from mass and velocity using classical mechanics.
Compute the rotational kinetic energy stored in a rotating body using moment of inertia and angular velocity.
Compute relativistic kinetic energy for particles moving near light speed using mass and velocity.