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Undergraduate · Advanced · 16 minute lesson

Derive a triangular distribution from two uniforms

Compute a convolution using overlap length.

Lesson 57 of 100 in Undergraduate. Take the time you need; the lesson estimate is a guide.

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01 · Read and understand

What you will learn

  • Compute a convolution using overlap length.
  • Justify the conclusion "fS(s)=s or 2−s on those intervals, and zero elsewhere" using the stated assumptions.

Before you start

Independent densities and integrals.

Keep paper nearby. Read the question once for the context, then again to identify what is known and what you need to find.

Start with a question

For independent X,Y uniform on (0,1), find the density of S=X+Y.

Why this math matters

Compute a convolution using overlap length. This worked micro-lesson connects a precise mathematical condition to a conclusion you can check. The transfer task asks you to change the setting and decide which parts of the reasoning still apply.

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Make a representation of your own.Sketch the quantities or relationships in this question before working through the solution. The cover image sets the learning scene; it does not show this problem’s exact values.

Set up the model

A useful answer starts with clear assumptions:

  • The variables are independent.
  • Both uniform intervals have unit length.

02 · Work through the example

Follow the reasoning, one step at a time.

Try to predict the next step before reading it. After each calculation, explain why the operation makes sense and how it helps answer the original question.

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Work through it with Amar

See this example unfold.

The complete worked example, one idea at a time.

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Derive a triangular distribution from two uniforms

Paused

Question: Start with the question. Paused.

Question

Start with the question

For independent X,Y uniform on (0,1), find the density of S=X+Y.

Before you calculate

Read what is known and what you need to find. Make a prediction before moving to the first calculation.

Starts paused. Play advances through the full text at a reading pace; pause whenever you need more time. Previous, Next, and the phase buttons let you set your own pace. Playback pauses when this walkthrough leaves the screen or you switch tabs.

Your device’s reduced-motion setting keeps each phase still. Manual controls remain available. The full written solution stays below.

  1. Build the model

    fS(s)=∫1(0<x<1)1(0<s−x<1)dx

    The convolution counts the overlap of two allowed intervals.

  2. Work through the mathematics

    The overlap length is s for 0<s<1 and 2−s for 1≤s<2

    The support grows and then shrinks as the sum changes.

  3. Check the conclusion

    fS(s)=s or 2−s on those intervals, and zero elsewhere

    The two triangular halves each have area one half, so the density normalizes.

The result

fS(s)=s or 2−s on those intervals, and zero elsewhere

The two triangular halves each have area one half, so the density normalizes.

Common mistakes to catch

  • The sum is not uniform on (0,2).
  • The integration limits depend on the requested sum.

03 · Practice independently

Try it before revealing the answer.

Use paper or a calculator as needed. Write your units and reasoning, then open the hint or explanation to check your approach.

Practice 1

Find P(S≤1).

Show a hint

Integrate s from zero to one.

Reveal answer and explanation

1/2

The area under the first half of the triangle is one half.

Practice 2

What is Var(S)?

Show a hint

Add independent uniform variances.

Reveal answer and explanation

1/6

Each uniform has variance 1/12.

Take the idea with you

Explain why sums of bounded independent timing errors cluster near the middle.

04 · Reflect and continue

Can you explain it in your own words?

Before moving on, explain the main idea without looking at the worked example. Try both practice questions, check your reasoning, and name one mistake you now know how to avoid. Return to a step if you still need support.

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