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Example: Consider a discrete-time rystem described bythe input-output relation. y[n] = nx * [n] show that this system is Linear.?
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Example: Consider a discrete-time rystem described bythe input-output ...
Understanding Linearity in Systems
To determine if the system described by the relation y[n] = n * x[n] is linear, we need to check two properties: additivity and homogeneity (scaling).
1. Additivity
- Definition: A system is additive if the response to a sum of inputs equals the sum of the responses to each input individually.
- Testing: Let x1[n] and x2[n] be two inputs.
- The output for x1[n]: y1[n] = n * x1[n]
- The output for x2[n]: y2[n] = n * x2[n]
- For the combined input x1[n] + x2[n]:
- y[n] = n * (x1[n] + x2[n]) = n * x1[n] + n * x2[n] = y1[n] + y2[n]
- Conclusion: The system satisfies the additivity property.
2. Homogeneity (Scaling)
- Definition: A system is homogeneous if the response to a scaled input equals the scaled response of the output.
- Testing: Let α be a scaling factor.
- For input α * x[n]:
- y[n] = n * (α * x[n]) = α * (n * x[n]) = α * y[n]
- Conclusion: The system satisfies the homogeneity property.
Final Assessment
Since the system meets both the additivity and homogeneity properties, we conclude:
- The system characterized by y[n] = n * x[n] is linear.
By confirming these properties, we establish that the given discrete-time system adheres to the principles of linearity, allowing for predictable behavior under varying inputs.
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Example: Consider a discrete-time rystem described bythe input-output relation. y[n] = nx * [n] show that this system is Linear.?
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