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Fourth, fifth, and sixth derivatives of position
Fourth, fifth, and sixth derivatives of position
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Time-derivatives of position

In physics, the fourth, fifth and sixth derivatives of position are defined as derivatives of the position vector with respect to time – with the first, second, and third derivatives being velocity, acceleration, and jerk, respectively. The higher-order derivatives are less common than the first three;[1][2] thus their names are not as standardized, though the concept of a minimum snap trajectory has been used in robotics.[3]

The fourth derivative is referred to as snap, leading the fifth and sixth derivatives to be "sometimes somewhat facetiously"[4] called crackle and pop, named after the Rice Krispies mascots of the same name.[5] The fourth derivative is also called jounce.[4]

Applications

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Minimizing snap and jerk is useful in mechanical and civil engineering because it reduces vibrations and ensures smoother motion transitions. In civil engineering, railway tracks and roads are designed to limit snap, particularly around bends with varying radii of curvature. When snap is constant, the jerk changes linearly, producing a gradual increase in radial acceleration; when snap is zero, acceleration changes linearly. These profiles are often achieved using mathematical clothoid functions. The same principle is applied by roller coaster designers, who use smooth transitions in loops and helices to enhance ride comfort.[1]

In mechanical engineering, controlling snap and jerk is important in automotive design to prevent camfollowers from jumping off camshafts, and in manufacturing, where rapid acceleration changes in cutting tools can cause premature wear and uneven surface finishes.[1] Minimum-snap and minimum-jerk trajectories is also used in trajectory generation in robotics. Minimum-snap trajectories for quadrotors can reduce control effort,[6] while minimum-jerk trajectories for robotic manipulators produce predictable motions that improve control performance and facilitate human-robot interaction.

Fourth derivative (snap/jounce)

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Snap,[7] or jounce,[2] is the fourth derivative of the position vector with respect to time, or the rate of change of the jerk with respect to time.[4] Equivalently, it is the second derivative of acceleration or the third derivative of velocity, and is defined by any of the following equivalent expressions: The following equations are used for constant snap:

where

  • is constant snap,
  • is initial jerk,
  • is final jerk,
  • is initial acceleration,
  • is final acceleration,
  • is initial velocity,
  • is final velocity,
  • is initial position,
  • is final position,
  • is time between initial and final states.

The notation (used by Visser[4]) is not to be confused with the displacement vector commonly denoted similarly.

The dimensions of snap are distance per fourth power of time [LT−4]. The corresponding SI unit is metre per second to the fourth power, m/s4, m⋅s−4.

Fifth derivative

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The fifth derivative of the position vector with respect to time is sometimes referred to as crackle.[5] It is the rate of change of snap with respect to time.[5][4] Crackle is defined by any of the following equivalent expressions:

The following equations are used for constant crackle:

where

  •  : constant crackle,
  •  : initial snap,
  •  : final snap,
  •  : initial jerk,
  •  : final jerk,
  •  : initial acceleration,
  •  : final acceleration,
  •  : initial velocity,
  •  : final velocity,
  •  : initial position,
  •  : final position,
  •  : time between initial and final states.

The dimensions of crackle are [LT−5]. The corresponding SI unit is m/s5.

Sixth derivative

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The sixth derivative of the position vector with respect to time is sometimes referred to as pop.[5] It is the rate of change of crackle with respect to time.[5][4] Pop is defined by any of the following equivalent expressions:

The following equations are used for constant pop:

where

  •  : constant pop,
  •  : initial crackle,
  •  : final crackle,
  •  : initial snap,
  •  : final snap,
  •  : initial jerk,
  •  : final jerk,
  •  : initial acceleration,
  •  : final acceleration,
  •  : initial velocity,
  •  : final velocity,
  •  : initial position,
  •  : final position,
  •  : time between initial and final states.

The dimensions of pop are [LT−6]. The corresponding SI unit is m/s6.

References

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from Grokipedia
In , the fourth derivative of position with respect to time is known as jounce (also called snap), representing the rate of change of jerk; the fifth derivative is termed crackle, measuring the rate of change of snap; and the sixth derivative is called pop, indicating the rate of change of crackle. These higher-order extend the classical sequence of motion descriptors—position, , , and jerk—by capturing finer aspects of temporal variation in displacement, such as the and higher-frequency components of trajectories. While less commonly encountered in basic physics than lower , they arise naturally in the mathematical description of any sufficiently smooth motion under continuous forces. These quantities are particularly significant in applied contexts where motion smoothness affects human comfort, mechanical integrity, or system performance. For example, in vehicle suspension design and , analyzing helps predict and mitigate vibrations, enhancing ride quality by reducing high-frequency jolts that could lead to fatigue or structural stress. Similarly, in and planning for manipulators or autonomous vehicles, constraining these derivatives ensures gentler path transitions, minimizing wear on actuators and improving precision in dynamic environments. Amusement ride , such as roller coasters, also employs them to balance thrill with , as excessive values can cause passenger discomfort or during rapid directional changes. The nomenclature for originated whimsically, drawing from the cereal mascots, though jounce has more formal usage in some literature dating back to discussions of multibody dynamics. Physically, these derivatives relate to the energy spectrum of motion: higher orders correspond to shorter timescales and higher frequencies, influencing phenomena like transient forces in oscillatory systems or the perceptual limits of motion sensing. In advanced simulations, such as those for or , incorporating them allows for more accurate modeling of real-world constraints, though computational demands often limit their routine use to specialized analyses.

Introduction

Context in kinematics

Kinematics is the branch of that studies the motion of points, objects, and systems of objects without considering the forces or other agents that cause the motion. Within this framework, the position of an object is described as a function of time, x(t)x(t), providing a geometric description of how the object's location varies over time./2:_Kinematics/2.1:_Basics_of_Kinematics) The successive time derivatives of position quantify the rates of change in motion: the first derivative is , with units of meters per second (m/s), and the second derivative is , with units of meters per second squared (m/s²). Higher-order derivatives extend this description to capture more abrupt variations, such as rapid changes in acceleration, which are critical in applications like high-speed transportation, , and amusement rides where smoother or more precise is essential. Jerk, the third derivative of position with units m/s³, serves as the immediate precursor to these higher orders by measuring the rate of change of . These higher derivatives emerge prominently in the expansion of the position function x(t)x(t), which approximates the near a given time by incorporating terms up to the desired order of ; this approach is fundamental in planning for systems to ensure minimal deviation and optimal smoothness. In the SI system, with position in meters (m) and time in seconds (s), the fourth accordingly has units of m/s⁴, reflecting the increasing complexity of describing changes in motion.

Sequence of derivatives

The sequence of higher-order time derivatives of position in forms a chain where each quantifies the rate of change of the preceding one, enabling descriptions of motion with progressively finer details on and continuity. Starting from position as the zeroth , this progression extends through , , jerk, and beyond to capture variations in that occur in real-world systems like vehicle motion or mechanical linkages. The derivatives up to the sixth order are summarized in the following table, including their conventional symbols, mathematical expressions, and SI units, which reflect the accumulating powers of inverse time in the denominator.
OrderCommon NameSymbolExpressionSI Units
0Positionxxx(t)x(t)m
1Velocityvvdxdt\frac{dx}{dt}m/s
2Accelerationaad2xdt2\frac{d^2 x}{dt^2}m/s²
3Jerkjjd3xdt3\frac{d^3 x}{dt^3}m/s³
4Snapssd4xdt4\frac{d^4 x}{dt^4}m/s⁴
5Crackleccd5xdt5\frac{d^5 x}{dt^5}m/s⁵
6Popppd6xdt6\frac{d^6 x}{dt^6}m/s⁶
In general, the nth time of position x(t)x(t) is expressed as dnxdtn\frac{d^n x}{dt^n}, where n is a non-negative integer; for n ≥ 1, this represents the instantaneous rate of change of the (n-1)th . Higher-order like those beyond introduce greater sensitivity to rapid fluctuations, making them useful for analyzing and optimizing trajectories that require minimal jerk or snap to enhance comfort or efficiency in applications.

Nomenclature and history

Origin of playful terms

The playful terms for the fourth, fifth, and sixth derivatives of position emerged as informal extensions of the nomenclature for lower-order derivatives, particularly building on the established term "jerk" for the third derivative. The term "jounce" for the fourth derivative has been employed in certain engineering and physics contexts, though it presents a drawback in sharing the initial letter "j" with "jerk," which can lead to confusion in symbolic notation. These terms were proposed by physicist Philip Gibbs in a 1996 online article, with "snap" as an alternative for the fourth , and "crackle" and "pop" analogously assigned to the fifth and sixth , drawing inspiration from onomatopoeic sound effects evoking the abruptness of rapidly changing motion. These names, reminiscent of the cereal mascots, emphasize their whimsical and non-standard character while aiding memorability in discussions of motion profiles. Although appearing occasionally in engineering literature on topics like vibration and vehicle dynamics, these terms lack formal recognition in standard physics textbooks, where alternatives such as "rate of change of jerk" or direct mathematical notation (e.g., the time derivative of jerk) prevail in precise, academic settings.

Standardization efforts

There is currently no comprehensive international standard, such as from ISO or IUPAC, governing the nomenclature for the fourth, fifth, and sixth derivatives of position, leading to inconsistencies across disciplines. While the third derivative (jerk) is incorporated into specific engineering standards like ISO 18738-1 for measuring lift ride quality and ISO/TS 17929:2014 for amusement rides, these focus solely on jerk limits for passenger comfort and do not extend to higher-order terms. Physics literature predominantly relies on abstract mathematical notation, such as d4xdt4\frac{d^4x}{dt^4}, avoiding descriptive names to maintain generality. In contrast, engineering fields often adopt informal terms like "jounce" for the fourth derivative, reflecting a preference for intuitive descriptors in practical applications like vehicle dynamics. Proposals for standardization have emerged in specialized domains, particularly and , where higher derivatives are analyzed for system stability. Efforts to formalize terminology aim to bridge the gap between mathematical abstraction and engineering practicality, but no unified proposal has gained traction beyond jerk. Recent developments highlight growing use of descriptive terms in computational tools and , driven by applications in . Post-2015 documentation in ' Robotics System Toolbox incorporates "snap" for the fourth in minimum snap trajectory generation, facilitating spline-based path for autonomous systems. Recent preprints on planning for utilize "snap" for the fourth in optimization contexts. These discussions underscore ongoing efforts to align with algorithmic needs, though consensus remains elusive.
FieldFourth DerivativeFifth DerivativeSixth DerivativeKey Reference
Physicsd4xdt4\frac{d^4x}{dt^4} (abstract) or snapd5xdt5\frac{d^5x}{dt^5} or crackled6xdt6\frac{d^6x}{dt^6} or popMathematical notation preferred; playful terms occasional.
EngineeringJounce or snapCracklePopDescriptive terms in dynamics; jounce common in automotive.
Computing/RoboticsSnap (e.g., minimum snap trajectories)Higher-order constraints (unspecified)Rarely named; focus on optimizationTerms integrated for AI path .

Fourth derivative

Definition and units

The fourth derivative of position with respect to time, termed jounce (also called snap), is defined mathematically as j(t)=d4x(t)dt4=ddt(d3x(t)dt3),j(t) = \frac{d^{4} x(t)}{dt^{4}} = \frac{d}{dt} \left( \frac{d^{3} x(t)}{dt^{3}} \right), where x(t)x(t) denotes the position as a function of time and the parenthetical term represents jerk, the immediate preceding derivative. In the Taylor series approximation of position expanded about t=0t = 0, x(t)=x(0)+x˙(0)t+x¨(0)2!t2+\dddotx(0)3!t3+j(0)4!t4+x(5)(0)5!t5+x(6)(0)6!t6+,x(t) = x(0) + \dot{x}(0) t + \frac{\ddot{x}(0)}{2!} t^{2} + \frac{\dddot{x}(0)}{3!} t^{3} + \frac{j(0)}{4!} t^{4} + \frac{x^{(5)}(0)}{5!} t^{5} + \frac{x^{(6)}(0)}{6!} t^{6} + \cdots, jounce appears as the coefficient of the t4/4!t^{4}/4! term, enabling higher-order approximations of motion trajectories. The standard SI unit of jounce is meters per second to the fourth power (m/s4^{4}), derived from the dimensional analysis of position in meters and time in seconds, and it arises in theoretical analyses or computational simulations of motions with extreme kinematic demands. Notation for jounce typically employs the Leibniz form d4x/dt4d^{4} x / dt^{4} or multiple overdots such as \ddddotx\ddddot{x}; in discrete-time computations, such as numerical simulations, it is estimated via higher-order finite differences, which differ from continuous analytical expressions by incorporating time-step approximations that may amplify errors.

Physical significance

Jounce represents the rate of change of jerk, capturing changes in the rate of and contributing to the smoothness of motion in trajectories. Theoretically, jounce finds application in simulations for modeling smooth mechanical systems, enabling precise characterization of refinements in multibody dynamics. It is particularly relevant in fields like vehicle suspension design, , and cam mechanisms, where constraining jounce helps minimize vibrations and improve ride comfort or longevity. Due to sensitivity to and environmental factors, jounce is challenging to quantify experimentally but establishes bounds on kinematic smoothness in controlled settings, such as trajectory planning for autonomous systems.

Fifth derivative

Definition and units

The fifth derivative of position with respect to time, termed crackle, is defined mathematically as c(t)=d5x(t)dt5=ddt(d4x(t)dt4),c(t) = \frac{d^{5} x(t)}{dt^{5}} = \frac{d}{dt} \left( \frac{d^{4} x(t)}{dt^{4}} \right), where x(t)x(t) denotes the position as a function of time and the parenthetical term represents snap (jounce), the immediate preceding derivative. In the Taylor series approximation of position expanded about t=0t = 0, x(t)=x(0)+x˙(0)t+x¨(0)2!t2+\dddotx(0)3!t3+x(4)(0)4!t4+c(0)5!t5+x(6)(0)6!t6+,x(t) = x(0) + \dot{x}(0) t + \frac{\ddot{x}(0)}{2!} t^{2} + \frac{\dddot{x}(0)}{3!} t^{3} + \frac{x^{(4)}(0)}{4!} t^{4} + \frac{c(0)}{5!} t^{5} + \frac{x^{(6)}(0)}{6!} t^{6} + \cdots, crackle appears as the coefficient of the t5/5!t^{5}/5! term, enabling higher-order approximations of motion trajectories. The standard SI unit of crackle is meters per second to the fifth power (m/s5^{5}), derived from the dimensional analysis of position in meters and time in seconds, and it arises in theoretical analyses or computational simulations of motions with extreme kinematic demands. Notation for crackle typically employs the Leibniz form d5x/dt5d^{5} x / dt^{5} or multiple overdots such as x(5)\overset{(5)}{x}; in discrete-time computations, such as numerical simulations, it is estimated via higher-order finite differences, which differ from continuous analytical expressions by incorporating time-step approximations that may amplify errors.

Physical significance

Crackle represents the rate of change of snap, capturing the hyper-sensitivity and finest of motion discontinuities in a , where even subtle perturbations in higher-order become apparent. Theoretically, crackle finds application in advanced simulations aimed at modeling infinite-order in classical mechanical systems, enabling precise characterization of refinements that approximate ideal continuity. It is used in for planning to ensure smooth motion and minimize actuator stress, as well as in analyzing human motion prediction and neurological . Due to inherent sensitivity to measurement and environmental factors, crackle is rarely quantifiable in experimental settings, though it theoretically establishes upper bounds on the predictability of complex trajectories by delineating ultimate limits of kinematic stability.

Sixth derivative

Definition and units

The sixth of position with respect to time, termed pop, is defined mathematically as p(t)=d6x(t)dt6=ddt(d5x(t)dt5),p(t) = \frac{d^{6} x(t)}{dt^{6}} = \frac{d}{dt} \left( \frac{d^{5} x(t)}{dt^{5}} \right), where x(t)x(t) denotes the position as a function of time and the parenthetical term represents crackle, the immediate preceding derivative. In the Taylor series approximation of position expanded about t=0t = 0, x(t)=x(0)+x˙(0)t+x¨(0)2!t2+\dddotx(0)3!t3+x(4)(0)4!t4+x(5)(0)5!t5+p(0)6!t6+,x(t) = x(0) + \dot{x}(0) t + \frac{\ddot{x}(0)}{2!} t^{2} + \frac{\dddot{x}(0)}{3!} t^{3} + \frac{x^{(4)}(0)}{4!} t^{4} + \frac{x^{(5)}(0)}{5!} t^{5} + \frac{p(0)}{6!} t^{6} + \cdots, pop appears as the coefficient of the t6/6!t^{6}/6! term, enabling higher-order approximations of motion trajectories. The standard SI unit of pop is meters per second to the sixth power (m/s6^{6}), derived from the dimensional analysis of position in meters and time in seconds, and it arises in theoretical analyses or computational simulations of motions with extreme kinematic demands. Notation for pop typically employs the Leibniz form d6x/dt6d^{6} x / dt^{6} or multiple overdots such as x(6)\overset{(6)}{x}; in discrete-time computations, such as numerical simulations, it is estimated via higher-order finite differences, which differ from continuous analytical expressions by incorporating time-step approximations that may amplify errors.

Physical significance

Pop represents the rate of change of crackle. Theoretically, pop finds application in advanced simulations aimed at modeling infinite-order in classical mechanical systems, enabling precise characterization of trajectory refinements that approximate ideal continuity.

Applications

In

In , higher-order derivatives of position—such as snap (fourth), crackle (fifth), and pop (sixth)—are employed to generate smooth trajectories that minimize vibrations and ensure precise motion in spline-based planning algorithms. These derivatives serve as constraints in optimization frameworks to produce continuous higher-order profiles, reducing mechanical stress on actuators and joints during path execution. For instance, minimum snap trajectory generation uses piecewise splines of degree seven or higher to optimize quadrotor paths, enabling agile maneuvers while bounding the fourth derivative for computational efficiency in real-time applications. Variants of the algorithm, which optimize trajectories via on smoothness costs including and jerk, refine initial paths into feasible, collision-free motions for manipulators and mobile robots, particularly in cluttered environments during the . In , extensions of proportional-integral-derivative (PID) controllers and () incorporate higher-order derivative constraints to suppress vibrations in flexible robotic systems. Higher-order differential feedback controllers utilize measurements of position and joint derivatives to stabilize flexible- manipulators, achieving faster times and reduced oscillatory errors compared to traditional methods. Similarly, MPC formulations for trajectory scaling enforce limits on acceleration derivatives (jerk) alongside constraints, enabling predictive adjustments that mitigate disturbances and ensure compliance with dynamic bounds in real-time robotic tasks. A practical example is found in computer (CNC) machines, where limiting the fourth derivative (snap) controls changes in jerk to enhance tool precision and during high-speed machining. Quintic generates jerk-continuous profiles. Implementations of these concepts appear in software frameworks like the (ROS), where libraries such as integrate CHOMP-based planners post-2015 to support smooth robot motion with jerk costs. These tools allow developers to specify jerk limits in trajectory generation, facilitating applications in industrial automation and collaborative robotics.

In vehicle dynamics

In , the fourth derivative of position, known as jounce, plays a critical role in suspension design, particularly in managing vertical wheel travel and impact absorption. Jounce bumpers, designed to compress under high loads, limit suspension deflection during rapid vertical motions, thereby preventing metal-to-metal contact and enhancing (NVH) performance. For instance, innovative materials like those with negative have been developed for jounce bumpers to provide progressive energy absorption, improving overall ride quality in passenger vehicles. Dual-rate jounce bumpers further optimize this by offering varying levels, allowing softer initial compression for comfort and firmer resistance at full travel to protect structural components. Higher-order derivatives, such as snap (fourth derivative), crackle (fifth derivative), and pop (sixth derivative), are considered in advanced analyses of suspension systems to minimize abrupt changes in motion that affect ride comfort. In modeling, limiting these derivatives helps reduce high-frequency vibrations transmitted to the passenger compartment, contributing to smoother dynamic responses over uneven terrain. The fifth derivative (crackle), in particular, influences the precision of in contexts within vehicles. In applications, snap is utilized for smoothing in unmanned aerial vehicles (UAVs), enabling autonomous drones to follow paths with reduced tracking errors during real-time flights. This approach enhances stability and energy efficiency in dynamic environments, such as obstacle avoidance maneuvers. Multibody dynamics simulations, such as those performed with ADAMS software, incorporate higher-order kinematic constraints including jerk and snap to model suspension and crash scenarios accurately, supporting the evaluation of vehicle structural integrity under extreme loads. In amusement ride engineering, such as roller coasters, higher-order derivatives are employed to balance thrill with , as excessive values can cause passenger discomfort or during rapid directional changes.
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