Name: estimating distance from velocity data
Uploaded: 2026-01-12T12:24:45.000Z
Duration: 1 min 26 s
Channel: JoVE

Bir kamyonun otoyolda hareket ettiğini hayal edin. Belirli bir zaman aralığı t içinde kat ettiği mesafeyi bulmak için, hız–zaman grafiğinin altındaki alanı bulun.Kamyonun hızı belirli zaman noktalarında bilindiğinden, bu alan kesin olarak hesaplanamaz. Bunun yerine, alan trapezoidal kural kullanılarak yaklaşık olarak hesaplanır. Bunu yapmak için, toplam zaman aralığını Δt genişliğine sahip n eşit alt aralıka böl.Bu yöntemde, her alt aralığın iki uç noktası düz bir çizgiyle bağlanır ve trapezler oluşturur.Belirli bir alt aralık için, iki dikey tarafı hızları temsil eden ve zaman genişliğini temsil eden yatay tabanı olan bir alt aralık için, bu trapezoidin alanı, iki dikey tarafının uzunluklarının ortalaması ile yatay mesafenin çarpılmasıdır.Tüm n trapezin alanını ekleyerek yer değiştirmenin yaklaşık bir örneği verilir.Cebirsel manipülasyonlardan ve bu toplamayı çözdükten sonra, ilk ve son hızlar bir kez görünürken, iç hızlar iki kez görünür çünkü her biri iki trapezoide aittir.Benzer terimler birleştirildikten sonra, ortaya çıkan ifade belirlenen zaman aralığındaki toplam yer değiştirmeyi yaklaşık olarak gösterir.

orta nokta kuralı ve yamuk kuralı

Bir arac&#x131;n zaman i&#xE7;inde kaydedilen h&#x131;z verilerini kullanarak kat etti&#x11F;i mesafeyi tahmin etmek, fizik ve m&#xFC;hendislikte yayg&#x131;n bir sorundur. H&#x131;z verileri, s&#xFC;rekli bir fonksiyon olarak de&#x11F;il de ayr&#x131;k zaman aral&#x131;klar&#x131;nda mevcut oldu&#x11F;unda, toplam yer de&#x11F;i&#x15F;tirmeyi yakla&#x15F;&#x131;k olarak bulmak i&#xE7;in yamuk kural&#x131; gibi say&#x131;sal integrasyon y&#xF6;ntemlerine s&#x131;kl&#x131;kla ba&#x15F;vurulur.
Yamuk kural&#x131;, toplam zaman aral&#x131;&#x11F;&#x131;n&#x131; birka&#xE7; e&#x15F;it alt aral&#x131;&#x11F;a b&#xF6;lerek uygulan&#x131;r. Her bir alt aral&#x131;kta, u&#xE7; noktalarda kaydedilen h&#x131;z de&#x11F;erleri bir do&#x11F;ru par&#xE7;as&#x131;yla birle&#x15F;tirilir ve h&#x131;z&#x2013;zaman grafi&#x11F;i &#xFC;zerinde bir yamuk elde edilir. Her yamu&#x11F;un dikey kenarlar&#x131;, alt aral&#x131;&#x11F;&#x131;n ba&#x15F;&#x131;ndaki ve sonundaki h&#x131;z de&#x11F;erlerini temsil ederken, yatay taban&#x131; ilgili zaman aral&#x131;&#x11F;&#x131;na kar&#x15F;&#x131;l&#x131;k gelir.
Yer de&#x11F;i&#x15F;tirmeyi yakla&#x15F;t&#x131;rmak i&#xE7;in her yamu&#x11F;un alan&#x131; hesaplan&#x131;r. Bu alan, alt aral&#x131;&#x11F;&#x131;n u&#xE7; noktalar&#x131;ndaki h&#x131;zlar&#x131;n ortalamas&#x131;n&#x131;n, alt aral&#x131;&#x11F;&#x131;n s&#xFC;resiyle &#xE7;arp&#x131;m&#x131;n&#x131; ifade eder. T&#xFC;m yamuklar&#x131;n alanlar&#x131; topland&#x131;&#x11F;&#x131;nda, t&#xFC;m zaman dilimi boyunca hesaplanan toplam yer de&#x11F;i&#x15F;tirme i&#xE7;in yakla&#x15F;&#x131;k bir de&#x11F;er elde edilir.
Bu s&#xFC;re&#xE7;te, toplam zaman aral&#x131;&#x11F;&#x131;n&#x131;n ba&#x15F;&#x131;nda ve sonunda kaydedilen h&#x131;z de&#x11F;erleri yaln&#x131;zca bir kez kullan&#x131;l&#x131;rken, ara noktalardaki h&#x131;z de&#x11F;erleri iki biti&#x15F;ik yamu&#x11F;a katk&#x131; sa&#x11F;lar. Bu sistematik yakla&#x15F;&#x131;m, &#xF6;zellikle alt aral&#x131;k say&#x131;s&#x131; yeterince b&#xFC;y&#xFC;k oldu&#x11F;unda, yer de&#x11F;i&#x15F;tirme i&#xE7;in g&#xFC;venilir bir yakla&#x15F;&#x131;k de&#x11F;er sa&#x11F;lar. Bu nedenle yamuk kural&#x131;, say&#x131;sal analizde temel bir teknik olup hareket gibi zamana ba&#x11F;l&#x131; s&#xFC;re&#xE7;lerden elde edilen deneysel verilerin integralini pratik bi&#xE7;imde hesaplamaya imk&#xE2;n tan&#x131;r.

Orta Nokta Kuralı ve Yamuk Kuralı

Bir arac&#x131;n zaman i&#xE7;inde kaydedilen h&#x131;z verilerini kullanarak kat etti&#x11F;i mesafeyi tahmin etmek, fizik ve m&#xFC;hendislikte ...

Education

JoVE Core

Calculus

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Unit

Birim

Techniques of Integration

İntegrasyon Teknikleri

KEY TERMS AND CONCEPTS

TEMEL TERİMLER VE KAVRAMLAR

Trapezoidal Rule

estimating distance from velocity data

Estimating distance from velocity data is a common use of the trapezoidal rule. In physics and engineering, velocity is often recorded at separate time points instead of as one continuous equation. Numerical integration gives a way to approximate the total displacement from those measurements.

The method divides the full time interval into equal parts. For each part, the velocities at the two endpoints are joined with a straight line on a velocity-time graph. That line creates a trapezoid. Each trapezoid has a vertical side for velocity and a horizontal base for the time interval.

To estimate displacement, the area of each trapezoid is found. This area depends on the average of the endpoint velocities and the length of the time segment. Adding the areas of all the trapezoids gives an estimate of the total distance traveled over the entire period.

The first and last velocity values are used only once. The values in the middle are shared by two neighboring trapezoids. This makes the method efficient for discrete data. It is especially useful when the number of intervals is large, and it provides a practical way to integrate measured motion data and other time-dependent processes.

Estimating Distance from Velocity Data

integration by parts: indefinite integrals

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Integration by Parts in AC Circuit Analysis

Integration by parts is a calculus method for handling integrals that contain a product of two functions. It is useful when direct integration is not practical. The method comes from the product rule for differentiation, which says that the derivative of a product is the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating that product-rule identity and rearranging the terms, the integration by parts formula is obtained.

integration by parts: definite integrals

Using Parts and Substitution for Area

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integrals of powers of sine and cosine

Solving Trig Integrals with Odd and Even Powers

Trigonometric integrals are solved by looking at the powers of sine and cosine in the expression. These integrals appear often in calculus, and they can also be useful in physics and engineering. For integrals of the form sin^m(x)cos^n(x), the first step is to check whether the sine power or the cosine power is odd. If the sine power is odd, one sine factor is separated from the integrand. That leaves an even power of sine. The remaining sine terms are rewritten using the Pythagorean identity,...

integrals of powers of secant and tangent

integrals-of-powers-of-secant-and-tangent

Solving Secant and Tangent Integrals

Integrals of secant and tangent powers are often solved by choosing a trig substitution that matches the integrand. The key idea is to use the parity of the exponents, which means whether a power is even or odd. A good substitution lets part of the integrand pair with the derivative of a trig function. When the power of secant is even, tangent is the better substitution variable. Since the derivative of tangent is secant squared, a factor of sec^2 x can be split off. The remaining even power...

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Trigonometric substitution is a method for solving integrals that contain square root expressions from quadratic forms. It works well when the integrand looks like a familiar geometric equation, such as a circle or an ellipse. Here, the method is applied to estimate the area inside a Molniya satellite orbit. Molniya satellites move in highly elliptical orbits and repeatedly sweep across the same regions of space as they go around Earth. The orbit is modeled as an ellipse in standard form, and...

integration of rational functions using partial fractions

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Splitting Rational Integrals Into Simpler Parts

Rational functions are ratios of two polynomials, and their integrals can be simplified by breaking them into smaller parts. A rational function is proper when the degree of the numerator is less than the degree of the denominator. When that is true, partial fraction decomposition rewrites the expression as a sum of simpler rational terms. To decompose a proper rational function, unknown constants are placed into the simpler terms. The denominator is then multiplied through to remove the...

rationalizing substitutions

Integrating Radicals with Rational Substitution

Integrating radicals can be easier when a rationalizing substitution turns the expression into a rational form. This method is useful when standard techniques do not work well because the integrand contains a radical, such as a cube root. The transcript uses a rod as a real-world example. Its linear mass density depends on a constant linear density, a characteristic length, and the distance from the left end of the rod. Finding the total mass means integrating that density over the length of...

approximate integration

Riemann Sum Area Estimates

Riemann sums estimate the area under a curve when an exact definite integral is hard to find. This often happens when a function has no known antiderivative or cannot be written in a closed form. It also happens when the function comes from measured data instead of a formula. The method works by splitting the interval of integration into equal parts. Each subinterval gets a rectangle, and the rectangle height comes from the function value at one chosen point in that part. Adding the rectangle...

trapezoidal rule

Estimating distance from velocity data is a common use of the trapezoidal rule. In physics and engineering, velocity is often recorded at separate time points instead of as one continuous equation. Numerical integration gives a way to approximate the total displacement from those measurements. The method divides the full time interval into equal parts. For each part, the velocities at the two endpoints are joined with a straight line on a velocity-time graph. That line creates a trapezoid.

simpson's rule i

Estimating Area with Simpson’s Rule

Simpson’s Rule is a numerical integration method for estimating the value of a definite integral. It is useful when an exact antiderivative is hard or impossible to find. The method works by fitting a unique parabola through three equally spaced points on a curve and then integrating that quadratic over the interval. This approach can give a very accurate area estimate from only a few sampled values. It works well for many smoothly varying functions. That makes it a practical tool when a curve...

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Simpson's Rule for Curved Sheet Area

Simpson's Rule helps estimate the area under a smooth curve, such as the curved profile of metal roofing sheets. In warehouse roofing, corrugated or curved sheets are used because they add strength, improve water drainage, and support better ventilation. To plan materials and design more accurately, engineers often need the area of these curved surfaces. The sheet shape can often be treated like a parabolic curve because it changes smoothly along its length. That makes numerical integration a...

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Improper Integrals and Exponential Decay

Improper integrals with infinite intervals appear when one limit of integration goes to positive or negative infinity. In that case, the area under the curve is unbounded, so ordinary definite integral methods do not apply directly. The integral is then defined by a limit, which helps show whether the total area is finite even when the interval is infinite. This idea is useful in exponential decay models. One example is the total integrated intensity of light moving through a uniform medium,...

improper integrals: discontinuous integrands

improper-integrals-discontinuous-integrands

Improper Integrals at an Endpoint

Improper integrals can appear when a definite integral has a discontinuity at one endpoint. The integrand may be undefined or become infinite there. In that case, the area under the curve is unbounded near the boundary. This behavior is often linked to a vertical asymptote at the edge of the interval. To evaluate this kind of integral, the endpoint is replaced with a variable. The integral is then written over an interval where the function is defined. After that, a limit is taken as the...

key terms and concepts

Learn how the trapezoidal rule uses velocity-time data to estimate displacement by splitting time into intervals and adding trapezoid areas.

Estimating Distance from Velocity Data | 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

Estimating Distance from Velocity Data

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