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Compute each of these double sums. $$ \begin{array}{ll}{\text { a) } \sum_{i=1}^{2} \sum_{j=1}^{3}(i+j)} & {\text { b) } \sum_{i=0}^{2} \sum_{j=0}^{3}(2 i+3 j)} \\ {\text { c) } \sum_{i=1}^{3} \sum_{j=0}^{2} i} & {\text { d) } \sum_{i=0}^{2} \sum_{j=1}^{3} i j}\end{array} $$

Short Answer

Expert verified
a) 21, b) 78, c) 18, d) 18.

Step by step solution

01

- Sum for part (a)

Here we need to compute the double sum \[ \sum_{i=1}^{2} \sum_{j=1}^{3}(i+j) \]. First, calculate the inner sum for each value of i from 1 to 2.
02

- Sum for i = 1

\[ \sum_{j=1}^{3} (1+j) = (1+1) + (1+2) + (1+3) = 2 + 3 + 4 = 9 \]
03

- Sum for i = 2

\[ \sum_{j=1}^{3} (2+j) = (2+1) + (2+2) + (2+3) = 3 + 4 + 5 = 12 \]
04

- Total Sum for part (a)

Sum the results of the inner sums: \[ 9 + 12 = 21 \]
05

- Sum for part (b)

Compute the double sum \[ \sum_{i=0}^{2} \sum_{j=0}^{3}(2i+3j) \]. First, calculate the inner sum for each value of i from 0 to 2.
06

- Sum for i = 0

\[ \sum_{j=0}^{3} (2(0)+3j) = 3(0)+3(1)+3(2)+3(3) = 0 + 3 + 6 + 9 = 18 \]
07

- Sum for i = 1

\[ \sum_{j=0}^{3} (2(1)+3j) = 2 + 5 + 8 + 11 = 26 \]
08

- Sum for i = 2

\[ \sum_{j=0}^{3} (2(2)+3j) = 4 + 7 + 10 + 13 = 34 \]
09

- Total Sum for part (b)

Sum the results of the inner sums: \[ 18 + 26 + 34 = 78 \]
10

- Sum for part (c)

Compute the double sum \[ \sum_{i=1}^{3} \sum_{j=0}^{2} i. \] Here, the inner sum is constant as it only depends on i.
11

- Inner Sum Calculation for any i

\[ \sum_{j=0}^{2} i = i + i + i = 3i \]
12

- Total Sum for part (c)

\[ \sum_{i=1}^{3} 3i = 3(1) + 3(2) + 3(3) = 3 + 6 + 9 = 18 \]
13

- Sum for part (d)

Compute the double sum \[ \sum_{i=0}^{2} \sum_{j=1}^{3} ij. \] Calculate the inner sum for each value of i from 0 to 2.
14

- Sum for i = 0

\[ \sum_{j=1}^{3} (0 \cdot j) = 0 \]
15

- Sum for i = 1

\[ \sum_{j=1}^{3} (1 \cdot j) = 1 + 2 + 3 = 6 \]
16

- Sum for i = 2

\[ \sum_{j=1}^{3} (2 \cdot j) = 2 + 4 + 6 = 12 \]
17

- Total Sum for part (d)

Sum the results of the inner sums:\[ 0 + 6 + 12 = 18 \]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Discrete Mathematics
Discrete mathematics studies structures that are fundamentally discrete rather than continuous. It involves mathematical objects such as integers, graphs, and statements in logic.
These structures do not vary smoothly but have distinct, separated values.
Because of its foundational role in computer science, discrete mathematics involves a lot of specific techniques and knowledge.
Nested Summation
Nested summation, also known as double sums, involves adding up numbers within multiple summation levels.
Each summation, typically represented by the summation symbol \(\sum \), operates within the outer summation.
For instance, in the exercise, we calculate inner sums for each value of an outer variable.
This concept is useful in various fields, from computer science algorithms to statistical calculations.
Step-by-Step Computation
Breaking down complex problems into smaller steps can make computations easier to understand.
Each step solves a part of the problem, contributing to the final answer.
  • **Step 1:** Identify the ranges for the outer and inner sums.
  • **Step 2:** Calculate the inner sum for each specific value of the outer variable.
  • **Step 3:** Sum the results obtained from Step 2 to get the final result.
Following these steps ensures clarity and accuracy in calculations.
Mathematical Notation
Mathematical notation is a system of symbols and signs used to represent numbers, functions, sets, and operations.
It is essential in exploring and communicating mathematical concepts clearly.
  • **Summation \(\sum \)** - A notation used to denote the addition of a sequence of numbers.
  • **Indexes** - Variables like \(i \) and \(j \) specify the range and increments of the summation.
  • **Formulas** - Expressions that describe the calculation rule, like \((i + j) \) or \(2i + 3j \).
Understanding these notations helps in interpreting complex equations and solving problems efficiently.

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