Name: graphing the derivative function
Uploaded: 2026-05-14T13:32:49.795Z
Duration: 1 min 26 s
Channel: JoVE

La derivada mide cómo cambia la variable dependiente respecto a la variable independiente.Gráficamente, la derivada es el límite de la tasa media de cambio a medida que el intervalo se acerca a cero.En términos matemáticos, la función derivada, f′(x), asigna una pendiente a cada punto en el gráfico de f(x), mostrando cómo cambia la salida en respuesta a los cambios en la entrada.Cuando se calcula en cada punto del dominio de una función, se produce una nueva función: la función derivada.Por ejemplo, en el punto A, el grafo de f(x) está disminuyendo, y la recta tangente tiene pendiente negativa. Así, la derivada f'(x) adquiere un valor negativo en este punto, correspondiente al punto A en el grafo de f(x).En el punto B, la tangente es horizontal o la pendiente es cero, lo que significa que la función derivada es cero. En el punto C, la pendiente es positiva, mostrada por un valor positivo de la función derivada.Como resultado, la función derivada muestra la rapidez con la que la función original cambia en cada punto.Un ejemplo de derivada se encuentra en el movimiento, donde la derivada de la velocidad de un coche respecto al tiempo da una función de aceleración.

la derivada como función

La derivada cuantifica c&#xF3;mo cambia una funci&#xF3;n en respuesta a variaciones en su variable independiente. Proporciona una tasa de variaci&#xF3;n local, que representa la pendiente de la recta tangente a la funci&#xF3;n en cualquier punto dado. Cuando este proceso se aplica sistem&#xE1;ticamente a todo el dominio de la funci&#xF3;n, se obtiene una nueva funci&#xF3;n (la funci&#xF3;n derivada) que representa la tasa de variaci&#xF3;n en cada punto. Este concepto es fundamental para el c&#xE1;lculo y esencial para comprender el comportamiento de los sistemas din&#xE1;micos tanto en contextos naturales como artificiales.La funci&#xF3;n derivadaDada una funci&#xF3;n diferenciable f(x), su funci&#xF3;n derivada f&#x2032;(x) asigna a cada valor de x la tasa instant&#xE1;nea de cambio de f(x). Formalmente, se define como el l&#xED;mite de la tasa media de variaci&#xF3;n a medida que el intervalo se vuelve infinitesimalmente peque&#xF1;o:\begin{equation*} f&#x27;(x) = \lim_{h \to 0} \jfrac{f(x + h) - f(x)}{h} \end{equation*}Esta expresi&#xF3;n, si existe el l&#xED;mite, da la pendiente de la recta tangente a la curva en x. Por lo tanto, f&#x2032;(x) captura la sensibilidad de la salida a peque&#xF1;os cambios en la variable independiente. Mientras que la funci&#xF3;n original describe el valor de la funci&#xF3;n en su dominio, la funci&#xF3;n derivada revela c&#xF3;mo evoluciona ese valor localmente.Interpretaci&#xF3;n y aplicaci&#xF3;nLa funci&#xF3;n derivada desempe&#xF1;a un papel fundamental en el an&#xE1;lisis de sistemas din&#xE1;micos. En contextos aplicados, modela magnitudes como la velocidad, la tasa de crecimiento y el costo marginal. Por ejemplo, en el an&#xE1;lisis del movimiento, la funci&#xF3;n de posici&#xF3;n describe la ubicaci&#xF3;n a lo largo del tiempo, y su derivada (la funci&#xF3;n de velocidad) indica la velocidad y la direcci&#xF3;n en cada instante.Gr&#xE1;ficamente, la funci&#xF3;n derivada refleja la geometr&#xED;a del gr&#xE1;fico de la funci&#xF3;n original: donde f(x) es creciente, f&#x2032;(x) &gt; 0; donde f(x) es decreciente, f&#x2032;(x) &lt; 0; y donde f&#x2032;(x) = 0, la funci&#xF3;n tiene una recta tangente horizontal, lo que podr&#xED;a indicar un extremo local. Desde esta perspectiva, la funci&#xF3;n derivada constituye una potente herramienta anal&#xED;tica en estudios tanto te&#xF3;ricos como pr&#xE1;cticos.

La derivada como función

La derivada cuantifica c&#xF3;mo cambia una funci&#xF3;n en respuesta a variaciones en su variable independiente. Proporciona una tasa de variaci&#xF3;n ...

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Education

Educación

JoVE Core

Calculus

Cálculo

Unit

Unidad

Derivatives

Derivadas

KEY TERMS AND CONCEPTS

TÉRMINOS Y CONCEPTOS CLAVE

The Derivative as a Function

graphing the derivative function

The derivative function describes how a function changes at each point. It gives the instantaneous rate of change, which is the slope of the tangent line to the graph at a specific x-value. When this idea is applied across the whole domain, it creates a new function that records the rate of change everywhere.

For a differentiable function f(x), the derivative function is written as f′(x). It assigns each input x the instantaneous rate at which f(x) is changing. Formally, it comes from the limit of the average rate of change as the interval becomes very small. If that limit exists, it gives the slope of the tangent line at x.

This means the derivative function shows how sensitive the output is to small changes in the input. The original function gives the value of a quantity over its domain. The derivative function shows how that value changes locally.

The derivative function is important for studying dynamic systems. In real situations, it can model velocity, growth rate, and marginal cost. In motion, a position function gives location over time, and its derivative, the velocity function, gives speed and direction at each moment.

The graph of the derivative also helps explain the shape of the original function. Where f(x) is increasing, f′(x) is positive. Where f(x) is decreasing, f′(x) is negative. Where f′(x) equals 0, the graph has a horizontal tangent, which may mark a local extremum. Taken together, these ideas make the derivative function a powerful tool for analyzing change.

Graphing the Derivative Function

tangent line

Secant Slope to Tangent Line

Differential calculus helps describe how a quantity changes at a specific point. A moving car on a winding road gives a clear example. The car’s path is a continuous curve, and the direction it travels at any instant is shown by the tangent to that curve. A secant line, by contrast, crosses the curve at two points. It shows how the car’s position changes over an interval, so it describes average behavior rather than an instant. The slope of the secant line between two points on a function f(x)...

derivatives

Square Root Derivatives and Tangent Slopes

Derivatives describe instantaneous rate of change, which is a key idea in both mathematics and physics. They are used to show how a moving object changes position over time. A derivative at a point is also the slope of the tangent line to a curve at that point. It tells how much the output of a function changes for a tiny change in input. For the square root function, finding this rate of change starts with the limit of the difference quotient. The algebra is harder here because the numerator...

rates of change

Average and Instantaneous Change in Functions

Rates of change describe how one variable changes in response to another. In math, this idea helps model dynamic systems in physics, biology, economics, and engineering. It also helps students study real-world functions that change over time or across different inputs. The average rate of change measures the overall change in a function over an interval [x1, x2]. It is found by dividing the change in output by the change in input. On a graph, this value is the slope of the secant line, which...

the derivative as a function

The derivative function describes how a function changes at each point. It gives the instantaneous rate of change, which is the slope of the tangent line to the graph at a specific x-value. When this idea is applied across the whole domain, it creates a new function that records the rate of change everywhere. For a differentiable function f(x), the derivative function is written as f′(x). It assigns each input x the instantaneous rate at which f(x) is changing. Formally, it comes from the...

higher derivatives

Concavity and Motion with Higher Derivatives

Higher derivatives show how a function changes from one step to the next. In calculus, the first derivative gives the slope of a graph, and the second derivative shows how that slope is changing. These ideas help explain both the shape of a curve and the motion of an object. For the example function f(x) = x^3 - x, the first derivative is f'(x) = 3x^2 - 1. The second derivative is f''(x) = 6x. In this case, the second derivative is a linear function, so the slope changes at a steady rate. <br...

rate of change: problem solving

Brook Trout Growth vs Water Temperature

Brook trout growth changes with water temperature. The data show how trout weight shifts over a 24-day period at several temperatures. At cooler water temperatures, such as 15.5 degrees Celsius, the trout gain a lot of weight. As the temperature rises, the amount of weight gained gets smaller. At the warmest temperature tested, 24.4 degrees Celsius, the trout have a net loss in weight. This pattern suggests that brook trout do better in cooler water. Warmer water may create metabolic stress or...

key terms and concepts

Learn how the derivative function shows slope, rate of change, and motion. See how positive, negative, and zero values connect to a graph.

Graphing the Derivative Function | JoVE K12

The JoVE Core Calculus collection provides a comprehensive visual guide to the entire calculus sequence, seamlessly connecting mathematical theory to real-world applications in physics and economics. Through dynamic animated lessons, the course transitions smoothly from foundational single-variable concepts to advanced multivariable topics. Students will explore everything from standard differentiation and integration to spatial vectors, multi-dimensional derivatives, and complex vector fields. By breaking down abstract coordinate systems, infinite series, and spatial motion, this structured approach builds the robust analytical skills and advanced mastery essential for STEM success.

calculus

Graphing the Derivative Function

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