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For any structure function, we define the dual structure \(\phi^{\mathrm{D}}\) by $$ \phi^{\mathrm{D}}(\mathbf{x})=1-\phi(\mathbf{1}-\mathbf{x}) $$ (a) Show that the dual of a parallel (series) system is a series (parallel) system. (b) Show that the dual of a dual structure is the original structure. (c) What is the dual of a \(k\) -out-of- \(n\) structure? (d) Show that a minimal path (cut) set of the dual system is a minimal cut (path) set of the original structure.

Short Answer

Expert verified
In summary, we have shown that: (a) the dual of parallel (series) systems is a series (parallel) system; (b) the dual of a dual structure is the original structure; (c) the dual of a k-out-of-n structure is given by \( \Omega^{\mathrm{D}}(\mathbf{x}) = 1 - \sum_{j=k}^n C(n,j) \prod_i^j (1 - x_i) \); and (d) the minimal path (cut) set of the dual system corresponds to the minimal cut (path) set of the original system.

Step by step solution

01

1. Dual of Parallel and Series Systems

To show that the dual of a parallel (series) system is a series (parallel) system, let's first recall the structure function representation for parallel and series systems. For a parallel system Φ(X), it can be represented as: \( \Phi(\mathbf{x}) = 1 - \prod_i^n (1 - x_i) \) And for a series system Ψ(X), it can be represented as: \( \Psi(\mathbf{x}) = \prod_i^n x_i \) Let's find the dual structure function for both systems: For the parallel system: \( \Phi^{\mathrm{D}}(\mathbf{x}) = 1 - \Phi(\mathbf{1} - \mathbf{x}) = 1 - \Big(1 - \prod_i^n (1 - (1 - x_i))\Big) = \prod_i^n x_i \) For the series system: \( \Psi^{\mathrm{D}}(\mathbf{x}) = 1 - \Psi(\mathbf{1} - \mathbf{x}) =1 - \prod_i^n (1 - x_i) \) As we can see, the dual structure function for the parallel system is equivalent to the structure function for the series system, and vice versa.
02

2. Dual of a Dual Structure

To show that the dual of a dual structure is the original structure, let's consider the dual structure of a given structure function Φ(X): \( \Phi^{\mathrm{D}}(\mathbf{x}) = 1 - \Phi(\mathbf{1} - \mathbf{x}) \) Now let's find the dual of the dual structure function: \( (\Phi^{\mathrm{D}})^{\mathrm{D}}(\mathbf{x}) = 1 - \Phi^{\mathrm{D}}(\mathbf{1} - \mathbf{x}) = 1 - \big(1 - \Phi(\mathbf{1} - (\mathbf{1} - \mathbf{x}))\big) \) Simplify to get: \( (\Phi^{\mathrm{D}})^{\mathrm{D}}(\mathbf{x}) = \Phi(\mathbf{x}) \) Thus, the dual of a dual structure is the original structure.
03

3. Dual of a k-out-of-n Structure

To find the dual of a k-out-of-n structure, we need to write down the structure function for the k-out-of-n structure. Let's represent the structure function as Ω(X): \( \Omega(\mathbf{x}) = \sum_{j=k}^n C(n,j) \prod_i^j x_i \) Now find its dual: \( \Omega^{\mathrm{D}}(\mathbf{x}) = 1 - \Omega(\mathbf{1} - \mathbf{x}) = 1 - \sum_{j=k}^n C(n,j) \prod_i^j (1 - x_i) \)
04

4. Minimal Path and Cut Sets of Dual Systems

Let M be a minimal path set of the original system (Φ) with its corresponding structure function. To prove that the minimal cut set of the dual system (Φ^D) is derived from the minimal path set of the original system, consider the following: For all \( \mathbf{x} \in M \), we have \( \Phi(\mathbf{x}) = 1 \). Now, we'll find the corresponding minimal cut set for the dual system. \( \Phi^{\mathrm{D}}(\mathbf{1} - \mathbf{x}) = 1 - \Phi(\mathbf{1} - (\mathbf{1} - \mathbf{x})) = 1 - \Phi(\mathbf{x}) = 0 \) The above result signifies that any minimal path set for the original structure system results in a minimal cut set for the dual system. Similarly, for a minimal cut set in the original structure, we can show that it results in a minimal path set for the dual system.

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Most popular questions from this chapter

Show that the variance of the lifetime of a \(k\) -out-of- \(n\) system of components, each of whose lifetimes is exponential with mean \(\theta\), is given by $$ \theta^{2} \sum_{i=k}^{n} \frac{1}{i^{2}} $$

Find the mean lifetime of a series system of two components when the component lifetimes are respectively uniform on \((0,1)\) and uniform on \((0,2) .\) Repeat for a parallel system.

Prove the combinatorial identity $$ \left(\begin{array}{c} n-1 \\ i-1 \end{array}\right)=\left(\begin{array}{c} n \\ i \end{array}\right)-\left(\begin{array}{c} n \\ i+1 \end{array}\right)+\cdots \pm\left(\begin{array}{l} n \\ n \end{array}\right), \quad i \leqslant n $$ (a) by induction on \(i\) (b) by a backwards induction argument on \(i\) -that is, prove it first for \(i=n\), then assume it for \(i=k\) and show that this implies that it is true for \(i=k-1\).

Let \(t_{i}\) denote the time of failure of the \(i\) th component; let \(\tau_{\phi}(t)\) denote the time to failure of the system \(\phi\) as a function of the vector \(\mathrm{t}=\left(t_{1}, \ldots, t_{n}\right) .\) Show that $$ \max _{1 \leqslant j \leqslant s} \min _{i \in A_{j}} t_{i}=\tau_{\phi}(\mathbf{t})=\min _{1 \leqslant j \leqslant k} \max _{i \in C_{i}} t_{i} $$ where \(C_{1}, \ldots, C_{k}\) are the minimal cut sets, and \(A_{1}, \ldots, A_{s}\) the minimal path sets.

Compute upper and lower bounds of the reliability function (using Method 2) fo the systems given in Exercise 4, and compare them with the exact values whe \(p_{i} \equiv \frac{1}{2}\)

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