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Analog Computing MCQs (Multiple-Choice Questions)
Analog computing is a computing approach that represents and processes information using continuously varying physical quantities, such as voltage, current, or mechanical displacement. Unlike digital computing, which commonly represents information using discrete states, analog computing uses physical signals to model mathematical relationships and solve computational problems.
Analog Computing MCQs
These multiple-choice questions cover the fundamental concepts of analog computing, including continuous signals, analog circuits, operational amplifiers, integrators, differentiators, and analog mathematical operations. They also examine how analog computers represent variables, solve differential equations, and model real-world systems.
Analog computing has applications in control systems, simulation, signal processing, and specialized hardware architectures. Its strengths include direct representation of continuous quantities and the potential for low-latency processing. However, noise, component tolerances, limited precision, calibration requirements, and difficulties in storing results can affect practical implementations.
List of Analog Computing MCQs
The following questions progress from basic analog computing concepts to circuit components, mathematical operations, system applications, and performance limitations. Each question includes four answer options and an explanation to reinforce understanding of analog computation.
1. What is analog computing?
- A computing method that represents all information exclusively using binary digits
- A computing approach that uses continuously varying physical quantities to represent and process information
- A method that stores information only on magnetic disks
- A computing technique based entirely on software instructions
Answer: B) A computing approach that uses continuously varying physical quantities to represent and process information
Explanation:
Analog computing represents variables using physical quantities such as voltage, current, rotation, or displacement. These quantities can be manipulated by physical systems to perform calculations, simulate processes, or solve mathematical equations.
2. Which property is most closely associated with analog signals?
- They can vary continuously over a range of values
- They can represent only the values 0 and 1
- They cannot change over time
- They must always be stored as text
Answer: A) They can vary continuously over a range of values
Explanation:
An analog signal can take a continuous range of amplitudes within its operating limits. For example, a voltage signal may represent a temperature or another physical variable by changing proportionally to that quantity.
3. What is a major difference between analog and digital computing?
- Analog computing cannot perform mathematical operations
- Digital computing never uses physical signals
- Analog computing commonly represents quantities continuously, whereas digital computing represents information using discrete states
- Digital computing cannot store information
Answer: C) Analog computing commonly represents quantities continuously, whereas digital computing represents information using discrete states
Explanation:
Analog systems use continuously varying physical quantities to represent values. Digital systems generally encode information using discrete symbols or states, commonly binary digits. Both approaches can perform calculations, but their representations and error characteristics differ.
4. Which component is commonly used to perform mathematical operations in an electronic analog computer?
- Hard disk drive
- Keyboard controller
- Optical mouse
- Operational amplifier
Answer: D) Operational amplifier
Explanation:
Operational amplifiers, or op-amps, are fundamental components in many electronic analog computers. With suitable feedback networks and other components, they can implement operations such as addition, subtraction, integration, and signal scaling.
5. What is the primary purpose of a summing amplifier in analog computing?
- To permanently store binary data
- To combine multiple input signals into a weighted sum
- To convert every analog signal into a text file
- To eliminate all electrical noise from a circuit
Answer: B) To combine multiple input signals into a weighted sum
Explanation:
A summing amplifier combines two or more input signals. Depending on the circuit design and resistor values, it can add scaled inputs, which is useful for implementing mathematical expressions in an analog computer.
6. Which circuit is commonly used to perform integration in an electronic analog computer?
- An op-amp circuit with a capacitor in its feedback path
- A keyboard scanning circuit
- A conventional magnetic storage circuit
- A digital display driver alone
Answer: A) An op-amp circuit with a capacitor in its feedback path
Explanation:
An op-amp integrator commonly uses a capacitor in the feedback path and a resistor at the input. In its ideal operating range, the output voltage is proportional to the negative time integral of the input voltage, subject to initial conditions and practical circuit limitations.
7. What is the primary function of an analog differentiator?
- To store a constant voltage indefinitely
- To convert every input into a binary number
- To produce an output proportional to the rate of change of the input signal
- To multiply two signals without using any circuit components
Answer: C) To produce an output proportional to the rate of change of the input signal
Explanation:
An ideal differentiator produces an output proportional to the time derivative of its input. Practical differentiators use additional components to limit excessive high-frequency gain and reduce sensitivity to noise.
8. Which physical quantity is commonly used to represent variables in an electronic analog computer?
- File name
- Number of keyboard keys
- Disk directory structure
- Voltage
Answer: D) Voltage
Explanation:
Voltage is widely used to represent variables in electronic analog computers. A defined voltage range may correspond to the range of a mathematical variable, allowing circuit operations to implement calculations on the represented values.
9. What does a potentiometer commonly do in an analog computing circuit?
- Provides an adjustable resistance that can be used to set a coefficient or scaling factor
- Stores digital files permanently
- Converts electrical energy directly into source code
- Eliminates the need for circuit calibration
Answer: A) Provides an adjustable resistance that can be used to set a coefficient or scaling factor
Explanation:
A potentiometer is an adjustable resistor. In analog computing circuits, it can be used to set gains, coefficients, or scaling factors so that a circuit represents a desired mathematical relationship.
10. Which type of mathematical problem can an analog computer solve by configuring integrators, summers, and other circuit elements?
- Only alphabetical sorting problems
- Differential equations
- Only file compression tasks
- Only database indexing operations
Answer: B) Differential equations
Explanation:
Analog computers can represent differential equations using interconnected integrators, summers, and gain elements. The circuit's evolving voltages can correspond to the variables and solutions of a mathematical model over time.
11. What is meant by continuous-time computation?
- Computation that occurs only when a user presses a key
- Computation that can use only integer values
- Computation in which system variables evolve continuously with time according to the system's dynamics
- Computation that cannot represent changing physical quantities
Answer: C) Computation in which system variables evolve continuously with time according to the system's dynamics
Explanation:
In continuous-time computation, variables may evolve continuously according to equations describing the system. Analog circuits can implement such dynamics directly, making them useful for modeling physical systems and solving certain differential equations.
12. What is a major advantage of analog computing for some real-time applications?
- It guarantees unlimited numerical precision
- It eliminates all power consumption
- It never requires hardware calibration
- It can process physical signals directly with low latency in suitable circuit designs
Answer: D) It can process physical signals directly with low latency in suitable circuit designs
Explanation:
Analog circuits can process signals through direct physical interactions, sometimes avoiding the conversion and instruction-processing overhead of a digital implementation. The actual benefit depends on circuit design, bandwidth, accuracy requirements, and the surrounding system.
13. What is a key limitation of analog computing?
- Noise and component variations can affect numerical accuracy
- It cannot represent physical quantities
- It cannot implement addition or integration
- It always requires a binary storage medium for every calculation
Answer: A) Noise and component variations can affect numerical accuracy
Explanation:
Analog computations depend on real physical quantities that can be affected by noise, component tolerances, temperature changes, and drift. These effects introduce errors and may require calibration or compensation.
14. What does signal scaling mean in analog computing?
- Converting every voltage to an identical value
- Multiplying or adjusting a signal by a chosen factor to represent the desired numerical range
- Removing all inputs from a circuit
- Changing an electrical circuit into a mechanical keyboard
Answer: B) Multiplying or adjusting a signal by a chosen factor to represent the desired numerical range
Explanation:
Signal scaling adjusts the relationship between a physical signal and the mathematical quantity it represents. Proper scaling helps keep circuit voltages within operating limits while preserving the required mathematical relationships.
15. What is the role of feedback in an operational amplifier circuit?
- To guarantee that the output can never change
- To store all intermediate values on a disk
- To influence circuit behavior and establish a controlled relationship between input and output
- To remove the need for power supplies
Answer: C) To influence circuit behavior and establish a controlled relationship between input and output
Explanation:
Feedback returns part of a circuit's output to its input. Negative feedback is commonly used with op-amps to establish predictable gain and mathematical functions, provided the amplifier operates within its limits and the circuit remains stable.
16. Which circuit operation is commonly implemented using a weighted summing amplifier?
- Permanent file storage
- Magnetic disk formatting
- Optical character recognition
- Calculating a linear combination of input variables
Answer: D) Calculating a linear combination of input variables
Explanation:
A weighted summing amplifier combines scaled input signals. This allows an analog computer to represent an expression such as aX + bY, where X and Y are represented by voltages and a and b are circuit-set coefficients.
17. What is an analog multiplier used for?
- To produce an output related to the product of two input signals
- To store text in nonvolatile memory
- To sort a list of strings alphabetically
- To remove every frequency component from a signal
Answer: A) To produce an output related to the product of two input signals
Explanation:
An analog multiplier produces an output proportional to the product of its input signals over its specified operating range. Multiplication can be useful in nonlinear models, modulation, control systems, and other analog computations.
18. What is the purpose of an analog comparator?
- To integrate a signal over time
- To compare two input voltages and indicate which is greater
- To permanently store a continuous signal
- To generate a mathematical derivative under all operating conditions
Answer: B) To compare two input voltages and indicate which is greater
Explanation:
An analog comparator compares two input voltages and changes its output according to their relative levels. Although its output is often a discrete high or low state, the inputs represent analog quantities, so comparators can be used in mixed-signal systems.
19. What does bandwidth indicate for an analog circuit?
- The amount of data stored on a hard disk
- The number of variables in a differential equation
- The range of frequencies over which a circuit meets specified performance requirements
- The number of files processed per second by a database
Answer: C) The range of frequencies over which a circuit meets specified performance requirements
Explanation:
Bandwidth describes the frequency range over which a circuit can operate within defined performance limits. It affects how rapidly a signal can change while being processed accurately enough for the intended application.
20. Why is calibration important in analog computing?
- It guarantees that all circuits operate without power
- It converts every analog signal into text
- It prevents the circuit from performing calculations
- It helps align circuit behavior with the intended mathematical representation
Answer: D) It helps align circuit behavior with the intended mathematical representation
Explanation:
Calibration adjusts circuit parameters to reduce the effect of component variation, offsets, and gain errors. This helps ensure that the physical signals correspond more closely to the intended mathematical variables and coefficients.
21. What is a mechanical analog computer?
- A computer that uses physical mechanisms such as gears, shafts, or wheels to represent and process quantities
- A computer that uses only binary logic gates
- A software application for editing images
- A storage device that uses only magnetic domains
Answer: A) A computer that uses physical mechanisms such as gears, shafts, or wheels to represent and process quantities
Explanation:
Mechanical analog computers represent variables using physical quantities such as rotation, displacement, or angular position. Mechanical linkages and other components can perform operations and model relationships between variables.
22. Which historical device is an example of a mechanical analog computing instrument used for astronomical calculations?
- Barcode scanner
- Antikythera mechanism
- Modern solid-state drive
- Laser printer
Answer: B) Antikythera mechanism
Explanation:
The Antikythera mechanism is an ancient geared device used to model astronomical cycles and related phenomena. It is widely recognized as an early example of a sophisticated mechanical calculating instrument.
23. What is a key application of analog computing in control engineering?
- Organizing text documents into folders
- Compressing digital photographs only
- Modeling and analyzing the continuous dynamics of control systems
- Replacing all sensors with magnetic disks
Answer: C) Modeling and analyzing the continuous dynamics of control systems
Explanation:
Control systems often involve continuously changing variables such as position, speed, temperature, and pressure. Analog computing circuits can model differential equations describing these dynamics and help analyze system behavior.
24. Which type of equation is particularly suitable for direct solution using a traditional electronic analog computer?
- A list of filenames
- A database table schema
- A text-formatting rule
- A system of ordinary differential equations that can be represented with suitable circuit elements
Answer: D) A system of ordinary differential equations that can be represented with suitable circuit elements
Explanation:
Traditional electronic analog computers are well suited to representing systems of ordinary differential equations using integrators, summing amplifiers, and scaling elements. The circuit outputs evolve over time to represent the solution, within the system's accuracy and operating limits.
25. What is a hybrid computer?
- A system that combines analog and digital computing capabilities
- A computer that uses only mechanical gears
- A device that cannot process numerical data
- A system that stores every value exclusively on paper
Answer: A) A system that combines analog and digital computing capabilities
Explanation:
A hybrid computer combines analog and digital components. Analog circuitry can process continuous signals or solve certain equations, while digital components can provide control, data storage, numerical processing, and measurement management.
26. What is one advantage of analog simulation for dynamic physical systems?
- It guarantees that the model has no assumptions
- It can represent system dynamics through continuously evolving physical signals
- It eliminates all differences between a model and the real system
- It never requires parameter adjustment
Answer: B) It can represent system dynamics through continuously evolving physical signals
Explanation:
An analog simulator can use circuit behavior to represent the continuous evolution of a modeled system. This can provide useful real-time behavior for suitable problems, although the model must still be designed and validated correctly.
27. Which factor can introduce error into an analog computation?
- The fact that the circuit contains mathematical variables
- The existence of an input signal
- Component tolerances, electrical noise, and temperature-dependent drift
- The use of a defined mathematical model
Answer: C) Component tolerances, electrical noise, and temperature-dependent drift
Explanation:
Analog circuits are affected by physical imperfections, including resistor and capacitor tolerances, amplifier offsets, noise, and temperature changes. These factors can alter the computed values and limit precision.
28. What is dynamic range in an analog computing system?
- The number of software applications installed on a computer
- The number of digital files a processor can store
- The physical length of a circuit board
- The range between the smallest and largest signal levels that can be represented or processed adequately
Answer: D) The range between the smallest and largest signal levels that can be represented or processed adequately
Explanation:
Dynamic range describes the span of signal levels a system can handle while meeting specified requirements. A limited dynamic range can make it difficult to represent both very small and very large quantities accurately in the same computation.
29. Why can analog computing be sensitive to noise?
- Noise can directly alter the physical signal used to represent a computational value
- Analog signals cannot be affected by electrical disturbances
- Noise always improves numerical accuracy
- Analog circuits do not contain physical components
Answer: A) Noise can directly alter the physical signal used to represent a computational value
Explanation:
In analog computing, the represented value is carried by a physical quantity such as voltage. Unwanted electrical fluctuations can change that quantity and introduce computational errors, particularly when the intended signal is small.
30. What is the purpose of an analog-to-digital converter (ADC) in a hybrid computing system?
- To turn digital instructions into mechanical gears
- To convert an analog input signal into a digital representation
- To integrate every input signal over an unlimited time period
- To remove all uncertainty from measured data
Answer: B) To convert an analog input signal into a digital representation
Explanation:
An ADC samples an analog signal and quantizes its measured amplitude into digital values. This allows digital processors to analyze signals originating from analog circuits or the physical environment.
31. What is the function of a digital-to-analog converter (DAC)?
- To convert a continuous voltage directly into a differential equation
- To remove all electrical components from a system
- To convert digital values into a corresponding analog signal
- To store digital information permanently without power
Answer: C) To convert digital values into a corresponding analog signal
Explanation:
A DAC converts digital input codes into an analog output, commonly a voltage or current. In hybrid systems, a DAC can supply digital control values to analog circuits or generate signals for physical processes.
32. What is the purpose of an analog filter?
- To guarantee that every signal frequency is amplified equally
- To convert every signal into a file format
- To store mathematical results on a hard disk
- To selectively attenuate or pass signal frequencies according to its response
Answer: D) To selectively attenuate or pass signal frequencies according to its response
Explanation:
An analog filter modifies a signal's frequency content. Low-pass, high-pass, band-pass, and band-stop filters are common examples. Filtering can help remove unwanted frequency components or isolate a useful part of a signal.
33. Why is component matching important in some analog computing circuits?
- Differences between nominally similar components can cause gain errors, offsets, or inaccurate mathematical relationships
- It ensures that every component has infinite resistance
- It removes the need for circuit design
- It guarantees that no signal can vary over time
Answer: A) Differences between nominally similar components can cause gain errors, offsets, or inaccurate mathematical relationships
Explanation:
Analog computations often depend on ratios of resistances, capacitances, or gains. Component mismatch can change these ratios and introduce errors, so suitable component selection, trimming, calibration, and circuit design are important.
34. What is the role of an initial condition when solving a differential equation using an analog integrator?
- It determines the color of the output signal
- It specifies the starting value of the represented state variable
- It guarantees that the equation has no solution
- It removes the need for an integration operation
Answer: B) It specifies the starting value of the represented state variable
Explanation:
A differential equation generally requires an initial condition to determine a particular solution. In an analog computer, the initial voltage on an integrator's capacitor can represent the starting value of a state variable.
35. Which statement about analog computing precision is correct?
- Analog computations always have infinite precision
- Precision is independent of circuit components
- Precision depends on factors such as noise, component tolerances, calibration, and the signal range
- Analog computers cannot represent fractional values
Answer: C) Precision depends on factors such as noise, component tolerances, calibration, and the signal range
Explanation:
Analog computing represents values through physical quantities with finite accuracy. Noise, component variation, offset, drift, and dynamic range affect the precision of the result. Proper design and calibration can reduce errors but cannot eliminate every physical limitation.
36. What is one reason digital computers are often preferred for general-purpose data processing?
- They never require electricity
- They cannot produce incorrect results
- They always process continuous signals without conversion
- They support flexible programming, reliable data storage, and reproducible discrete operations
Answer: D) They support flexible programming, reliable data storage, and reproducible discrete operations
Explanation:
Digital computers support general-purpose software, large-scale data storage, and discrete operations that can be repeated reproducibly. They are not error-free, but digital representations and error-control techniques often make them suitable for a wide range of tasks.
37. Which application can benefit from analog signal processing?
- Real-time filtering of sensor signals
- Alphabetical sorting of text files only
- Formatting a database table only
- Renaming files in a directory only
Answer: A) Real-time filtering of sensor signals
Explanation:
Analog circuits can filter sensor signals before they are digitized or used by a control system. This can reduce unwanted frequency components and help prepare signals for further processing.
38. What is an important consideration when using analog computing for nonlinear mathematical models?
- Nonlinear models cannot be represented by any physical circuit
- Suitable nonlinear circuit elements or functional approximations may be needed
- All nonlinear equations are automatically solved exactly
- Nonlinear models never involve changing variables
Answer: B) Suitable nonlinear circuit elements or functional approximations may be needed
Explanation:
Some nonlinear models require multiplication, function generation, or other specialized circuit operations. These can be implemented using suitable analog components or approximations, but their accuracy and operating ranges must be considered.
39. What is the main purpose of a sample-and-hold circuit in a mixed-signal system?
- To continuously change the input signal without measuring it
- To perform every mathematical operation in a system
- To capture an analog signal value and hold it approximately constant for a period
- To remove the need for an analog-to-digital converter
Answer: C) To capture an analog signal value and hold it approximately constant for a period
Explanation:
A sample-and-hold circuit captures the instantaneous value of an analog signal and maintains that value for a specified interval. It is commonly used to provide a stable input to an ADC during conversion.
40. What is meant by analog in-memory computing?
- A method that stores every result only in a remote database
- A technique that prevents memory devices from participating in computation
- A computing method that uses only mechanical storage
- An approach that performs selected operations using physical quantities within or near memory arrays
Answer: D) An approach that performs selected operations using physical quantities within or near memory arrays
Explanation:
Analog in-memory computing performs certain operations by exploiting physical behavior in or near memory structures, potentially reducing data movement. Some designs use conductance values to represent numerical parameters and electrical currents to accumulate results, although precision and device variation are important challenges.
41. Why is analog computing being explored for some artificial intelligence workloads?
- Some analog hardware can perform operations such as weighted accumulation with low latency and potentially low energy use
- Analog computing guarantees that every AI prediction is correct
- Analog hardware removes the need for model training
- All neural-network operations are inherently analog and require no digital processing
Answer: A) Some analog hardware can perform operations such as weighted accumulation with low latency and potentially low energy use
Explanation:
Some AI workloads rely heavily on matrix operations and weighted sums. Analog circuits can implement selected operations through physical electrical behavior. Practical performance depends on accuracy, conversion overhead, data movement, calibration, and the complete system architecture.
42. What is a major challenge when scaling an analog computing system to larger circuits?
- Large circuits cannot contain resistors or capacitors
- Accumulated noise, component variation, calibration demands, and signal-routing complexity can become more difficult to manage
- Analog circuits cannot be connected together
- Scaling automatically eliminates every source of error
Answer: B) Accumulated noise, component variation, calibration demands, and signal-routing complexity can become more difficult to manage
Explanation:
Larger analog systems require more components and interconnections. Variations and errors can accumulate across stages, while parasitic effects, power constraints, and calibration requirements complicate system design and maintenance.
43. What is a virtual analog computer?
- A mechanical calculator with no physical components
- A digital storage device that contains only analog recordings
- A software-based model that simulates the behavior of an analog computing system
- A circuit that can operate without any input or output variables
Answer: C) A software-based model that simulates the behavior of an analog computing system
Explanation:
A virtual analog computer models analog circuit behavior or continuous mathematical dynamics in software. It allows users to experiment with equations and system parameters without necessarily constructing a physical analog circuit.
44. Which statement correctly distinguishes analog computing from probabilistic computing?
- Analog computing always requires random outputs, while probabilistic computing always uses continuous voltages
- Analog computing cannot represent numerical values
- Probabilistic computing is always implemented using mechanical gears
- Analog computing represents values through physical quantities, while probabilistic computing uses probability and randomness as part of its computational method; a system can combine both
Answer: D) Analog computing represents values through physical quantities, while probabilistic computing uses probability and randomness as part of its computational method; a system can combine both
Explanation:
Analog computing focuses on representing and processing quantities through continuous physical signals. Probabilistic computing focuses on random variables, probability distributions, and stochastic operations. Analog hardware can also implement probabilistic behavior, so the concepts are distinct but can overlap.
45. Why might an analog computer require normalization or scaling before solving a mathematical model?
- To map variables into suitable signal ranges and help prevent saturation or excessive loss of precision
- To guarantee that all variables become zero
- To eliminate the need for mathematical equations
- To ensure that all outputs have identical numerical values
Answer: A) To map variables into suitable signal ranges and help prevent saturation or excessive loss of precision
Explanation:
Analog circuits operate within finite voltage, current, and frequency ranges. Scaling maps mathematical variables to appropriate signal levels, helping avoid saturation and allowing the circuit to use its available range effectively.
46. What is saturation in an analog circuit?
- A condition in which a circuit produces infinitely precise outputs
- A condition in which the output reaches a limit and can no longer follow the intended input relationship
- A process that converts every analog signal into a digital file
- A method for increasing the circuit's dynamic range without changing hardware
Answer: B) A condition in which the output reaches a limit and can no longer follow the intended input relationship
Explanation:
Saturation occurs when an analog component reaches an operating limit, such as an amplifier's maximum output voltage. Beyond that limit, the output no longer follows the intended mathematical relationship, causing significant computational errors.
47. Why is power consumption an important consideration in analog computing?
- Analog circuits always consume zero power
- Power consumption never changes with circuit design
- Power use affects energy efficiency, heat generation, and the feasibility of continuous operation
- Every analog circuit requires the same amount of power
Answer: C) Power use affects energy efficiency, heat generation, and the feasibility of continuous operation
Explanation:
Analog circuits require energy to operate their amplifiers, signal-processing elements, and supporting electronics. Power consumption influences heat dissipation, battery life, and system efficiency, so it must be considered alongside speed and accuracy.
48. Which statement best describes the role of analog computing in modern systems?
- It has completely replaced all digital processors
- It can be used only in historical computing devices
- It cannot be integrated with sensors or digital electronics
- It remains useful in selected applications, including signal processing, control, simulation, and specialized accelerators
Answer: D) It remains useful in selected applications, including signal processing, control, simulation, and specialized accelerators
Explanation:
Analog computing remains relevant wherever physical signals or continuous dynamics are important. Modern applications include analog front-end circuits, control systems, signal processing, and research into specialized analog accelerators. Its suitability depends on the required precision, workload, and system constraints.
49. An analog computing circuit represents a mathematical variable using a scale of 2 volts per unit. If the variable has a value of 3.5 units, what voltage should represent it?
- 1.5 V
- 7 V
- 5.5 V
- 0.5 V
Answer: B) 7 V
Explanation:
Voltage scale = 2 volts per unit.
Variable value = 3.5 units.
Representing voltage = Scale factor × Variable value.
Representing voltage = 2 × 3.5 = 7 V.
Therefore, the variable should be represented by a voltage of 7 V, assuming the circuit's operating range supports that value.
50. An ideal inverting analog integrator has an input resistor of 100 kΩ and a feedback capacitor of 10 μF. A constant input voltage of +2 V is applied for 0.5 seconds. Assuming the initial output voltage is 0 V and the op-amp operates ideally without saturation, what is the output voltage after 0.5 seconds?
- +1 V
- −0.5 V
- −1 V
- −2 V
Answer: C) −1 V
Explanation:
The output voltage of an ideal inverting integrator is:
Vout = −(1/RC) × ∫Vin dt
Input resistance, R = 100 kΩ = 100,000 Ω.
Feedback capacitance, C = 10 μF = 10 × 10⁻⁶ F = 0.00001 F.
Time constant, RC = 100,000 × 0.00001 = 1 second.
Since the input voltage is constant at +2 V for 0.5 seconds:
∫Vin dt = 2 × 0.5 = 1 V·s.
Therefore:
Vout = −(1/1) × 1 = −1 V.
Hence, the output voltage after 0.5 seconds is −1 V, assuming ideal operation and a zero initial output voltage.